From 7c7836d9d4062d6858e3fb337b135c417ccee6ce Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 16 Jun 2024 07:17:31 +0200 Subject: [PATCH 01/59] Vulkan Shader Refactor, Memory Debugging Option (#7947) * Refactor shaders, extract GLSL code from ggml_vk_generate_shaders.py into vulkan-shaders directory * Improve debug log code * Add memory debug output option * Fix flake8 * Fix unnecessary high llama-3 VRAM use --- CMakeLists.txt | 5 + Makefile | 4 + ggml-vulkan-shaders.hpp | 40774 ++++++++++--------- ggml-vulkan.cpp | 612 +- ggml_vk_generate_shaders.py | 3096 +- vulkan-shaders/add.comp | 12 + vulkan-shaders/argsort.comp | 71 + vulkan-shaders/clamp.comp | 13 + vulkan-shaders/copy.comp | 16 + vulkan-shaders/dequant_f32.comp | 20 + vulkan-shaders/dequant_funcs.comp | 60 + vulkan-shaders/dequant_head.comp | 13 + vulkan-shaders/dequant_q2_k.comp | 34 + vulkan-shaders/dequant_q3_k.comp | 42 + vulkan-shaders/dequant_q4_0.comp | 32 + vulkan-shaders/dequant_q4_1.comp | 32 + vulkan-shaders/dequant_q4_k.comp | 56 + vulkan-shaders/dequant_q5_0.comp | 34 + vulkan-shaders/dequant_q5_1.comp | 35 + vulkan-shaders/dequant_q5_k.comp | 58 + vulkan-shaders/dequant_q6_k.comp | 33 + vulkan-shaders/dequant_q8_0.comp | 31 + vulkan-shaders/diag_mask_inf.comp | 34 + vulkan-shaders/div.comp | 12 + vulkan-shaders/gelu.comp | 25 + vulkan-shaders/generic_binary_head.comp | 48 + vulkan-shaders/generic_head.comp | 9 + vulkan-shaders/generic_unary_head.comp | 35 + vulkan-shaders/get_rows.comp | 26 + vulkan-shaders/get_rows_quant.comp | 31 + vulkan-shaders/mul.comp | 12 + vulkan-shaders/mul_mat_split_k_reduce.comp | 29 + vulkan-shaders/mul_mat_vec.comp | 50 + vulkan-shaders/mul_mat_vec_base.comp | 81 + vulkan-shaders/mul_mat_vec_nc.comp | 71 + vulkan-shaders/mul_mat_vec_p021.comp | 73 + vulkan-shaders/mul_mat_vec_q2_k.comp | 73 + vulkan-shaders/mul_mat_vec_q3_k.comp | 66 + vulkan-shaders/mul_mat_vec_q4_k.comp | 115 + vulkan-shaders/mul_mat_vec_q5_k.comp | 111 + vulkan-shaders/mul_mat_vec_q6_k.comp | 79 + vulkan-shaders/mul_mm.comp | 494 + vulkan-shaders/norm.comp | 44 + vulkan-shaders/relu.comp | 21 + vulkan-shaders/rms_norm.comp | 42 + vulkan-shaders/rope_head.comp | 44 + vulkan-shaders/rope_neox.comp | 37 + vulkan-shaders/rope_norm.comp | 37 + vulkan-shaders/scale.comp | 12 + vulkan-shaders/silu.comp | 22 + vulkan-shaders/soft_max.comp | 106 + vulkan-shaders/square.comp | 13 + vulkan-shaders/sum_rows.comp | 37 + vulkan-shaders/types.comp | 179 + 54 files changed, 25266 insertions(+), 21885 deletions(-) create mode 100644 vulkan-shaders/add.comp create mode 100644 vulkan-shaders/argsort.comp create mode 100644 vulkan-shaders/clamp.comp create mode 100644 vulkan-shaders/copy.comp create mode 100644 vulkan-shaders/dequant_f32.comp create mode 100644 vulkan-shaders/dequant_funcs.comp create mode 100644 vulkan-shaders/dequant_head.comp create mode 100644 vulkan-shaders/dequant_q2_k.comp create mode 100644 vulkan-shaders/dequant_q3_k.comp create mode 100644 vulkan-shaders/dequant_q4_0.comp create mode 100644 vulkan-shaders/dequant_q4_1.comp create mode 100644 vulkan-shaders/dequant_q4_k.comp create mode 100644 vulkan-shaders/dequant_q5_0.comp create mode 100644 vulkan-shaders/dequant_q5_1.comp create mode 100644 vulkan-shaders/dequant_q5_k.comp create mode 100644 vulkan-shaders/dequant_q6_k.comp create mode 100644 vulkan-shaders/dequant_q8_0.comp create mode 100644 vulkan-shaders/diag_mask_inf.comp create mode 100644 vulkan-shaders/div.comp create mode 100644 vulkan-shaders/gelu.comp create mode 100644 vulkan-shaders/generic_binary_head.comp create mode 100644 vulkan-shaders/generic_head.comp create mode 100644 vulkan-shaders/generic_unary_head.comp create mode 100644 vulkan-shaders/get_rows.comp create mode 100644 vulkan-shaders/get_rows_quant.comp create mode 100644 vulkan-shaders/mul.comp create mode 100644 vulkan-shaders/mul_mat_split_k_reduce.comp create mode 100644 vulkan-shaders/mul_mat_vec.comp create mode 100644 vulkan-shaders/mul_mat_vec_base.comp create mode 100644 vulkan-shaders/mul_mat_vec_nc.comp create mode 100644 vulkan-shaders/mul_mat_vec_p021.comp create mode 100644 vulkan-shaders/mul_mat_vec_q2_k.comp create mode 100644 vulkan-shaders/mul_mat_vec_q3_k.comp create mode 100644 vulkan-shaders/mul_mat_vec_q4_k.comp create mode 100644 vulkan-shaders/mul_mat_vec_q5_k.comp create mode 100644 vulkan-shaders/mul_mat_vec_q6_k.comp create mode 100644 vulkan-shaders/mul_mm.comp create mode 100644 vulkan-shaders/norm.comp create mode 100644 vulkan-shaders/relu.comp create mode 100644 vulkan-shaders/rms_norm.comp create mode 100644 vulkan-shaders/rope_head.comp create mode 100644 vulkan-shaders/rope_neox.comp create mode 100644 vulkan-shaders/rope_norm.comp create mode 100644 vulkan-shaders/scale.comp create mode 100644 vulkan-shaders/silu.comp create mode 100644 vulkan-shaders/soft_max.comp create mode 100644 vulkan-shaders/square.comp create mode 100644 vulkan-shaders/sum_rows.comp create mode 100644 vulkan-shaders/types.comp diff --git a/CMakeLists.txt b/CMakeLists.txt index d86107187..c90414afa 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -119,6 +119,7 @@ option(LLAMA_HIP_UMA "llama: use HIP unified memory arch option(LLAMA_VULKAN "llama: use Vulkan" OFF) option(LLAMA_VULKAN_CHECK_RESULTS "llama: run Vulkan op checks" OFF) option(LLAMA_VULKAN_DEBUG "llama: enable Vulkan debug output" OFF) +option(LLAMA_VULKAN_MEMORY_DEBUG "llama: enable Vulkan memory debug output" OFF) option(LLAMA_VULKAN_VALIDATE "llama: enable Vulkan validation" OFF) option(LLAMA_VULKAN_RUN_TESTS "llama: run Vulkan tests" OFF) option(LLAMA_METAL "llama: use Metal" ${LLAMA_METAL_DEFAULT}) @@ -534,6 +535,10 @@ if (LLAMA_VULKAN) add_compile_definitions(GGML_VULKAN_DEBUG) endif() + if (LLAMA_VULKAN_MEMORY_DEBUG) + add_compile_definitions(GGML_VULKAN_MEMORY_DEBUG) + endif() + if (LLAMA_VULKAN_VALIDATE) add_compile_definitions(GGML_VULKAN_VALIDATE) endif() diff --git a/Makefile b/Makefile index 5ab3481fb..f94ee3933 100644 --- a/Makefile +++ b/Makefile @@ -608,6 +608,10 @@ ifdef LLAMA_VULKAN_DEBUG MK_CPPFLAGS += -DGGML_VULKAN_DEBUG endif +ifdef LLAMA_VULKAN_MEMORY_DEBUG + MK_CPPFLAGS += -DGGML_VULKAN_MEMORY_DEBUG +endif + ifdef LLAMA_VULKAN_VALIDATE MK_CPPFLAGS += -DGGML_VULKAN_VALIDATE endif diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 4a8ee3415..e97a8c6b7 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -2103,7 +2103,7 @@ unsigned char dequant_f32_data[] = { }; const uint64_t dequant_f32_len = 3200; -unsigned char dequant_q2_K_data[] = { +unsigned char dequant_q2_k_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -2442,9 +2442,9 @@ unsigned char dequant_q2_K_data[] = { 0x01,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t dequant_q2_K_len = 4032; +const uint64_t dequant_q2_k_len = 4032; -unsigned char dequant_q3_K_data[] = { +unsigned char dequant_q3_k_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x3f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -2847,7 +2847,7 @@ unsigned char dequant_q3_K_data[] = { 0xf8,0x00,0x02,0x00,0x2d,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t dequant_q3_K_len = 4804; +const uint64_t dequant_q3_k_len = 4804; unsigned char dequant_q4_0_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -3728,7 +3728,7 @@ unsigned char dequant_q4_1_data[] = { }; const uint64_t dequant_q4_1_len = 5248; -unsigned char dequant_q4_K_data[] = { +unsigned char dequant_q4_k_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xae,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -4224,7 +4224,7 @@ unsigned char dequant_q4_K_data[] = { 0x34,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t dequant_q4_K_len = 5916; +const uint64_t dequant_q4_k_len = 5916; unsigned char dequant_q5_0_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -5323,7 +5323,7 @@ unsigned char dequant_q5_1_data[] = { }; const uint64_t dequant_q5_1_len = 6412; -unsigned char dequant_q5_K_data[] = { +unsigned char dequant_q5_k_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x9e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -5824,9 +5824,9 @@ unsigned char dequant_q5_K_data[] = { 0xf8,0x00,0x02,0x00,0x88,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t dequant_q5_K_len = 5980; +const uint64_t dequant_q5_k_len = 5980; -unsigned char dequant_q6_K_data[] = { +unsigned char dequant_q6_k_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -6185,7 +6185,7 @@ unsigned char dequant_q6_K_data[] = { 0x03,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t dequant_q6_K_len = 4272; +const uint64_t dequant_q6_k_len = 4272; unsigned char dequant_q8_0_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -18578,2676 +18578,6 @@ unsigned char matmul_f16_fp32_data[] = { }; const uint64_t matmul_f16_fp32_len = 10276; -unsigned char matmul_f32_data[] = { -0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, -0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, -0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 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matmul_f32_aligned_fp32_len = 10124; - unsigned char matmul_f32_f16_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, @@ -24783,7 +22113,2677 @@ unsigned char matmul_f32_f16_fp32_data[] = { }; const uint64_t matmul_f32_f16_fp32_len = 10260; -unsigned char matmul_f32_fp32_data[] = { +unsigned char matmul_f32_f32_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, +0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, +0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, +0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00, 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0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, @@ -25636,7 +25636,7 @@ unsigned char matmul_f32_fp32_data[] = { 0x39,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3b,0x02,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f32_fp32_len = 10208; +const uint64_t matmul_f32_f32_fp32_len = 10208; unsigned char matmul_id_f16_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -33084,7 +33084,3735 @@ unsigned char matmul_id_f16_fp32_data[] = { }; const uint64_t matmul_id_f16_fp32_len = 10748; -unsigned char matmul_id_f32_data[] = { +unsigned char matmul_id_f32_f16_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, +0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, 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+0xf8,0x00,0x02,0x00,0x65,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0xbd,0x02,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x62,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x4d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4d,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00, +0xbb,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x4a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x4c,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x45,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x45,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xab,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x44,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, +}; +const uint64_t matmul_id_f32_f16_fp32_len = 10732; + +unsigned char matmul_id_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, @@ -33986,9 +37714,9 @@ unsigned char matmul_id_f32_data[] = { 0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_f32_len = 10796; +const uint64_t matmul_id_f32_f32_len = 10796; -unsigned char matmul_id_f32_aligned_data[] = { +unsigned char matmul_id_f32_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x6d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, @@ -35001,9 +38729,9 @@ unsigned char matmul_id_f32_aligned_data[] = { 0xfb,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_f32_aligned_len = 12120; +const uint64_t matmul_id_f32_f32_aligned_len = 12120; -unsigned char matmul_id_f32_aligned_fp32_data[] = { +unsigned char matmul_id_f32_f32_aligned_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x24,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00, @@ -35907,9 +39635,9 @@ unsigned char matmul_id_f32_aligned_fp32_data[] = { 0xb2,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_f32_aligned_fp32_len = 10812; +const uint64_t matmul_id_f32_f32_aligned_fp32_len = 10812; -unsigned char matmul_id_f32_fp32_data[] = { +unsigned char matmul_id_f32_f32_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x2a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00, @@ -36802,7 +40530,7 @@ unsigned char matmul_id_f32_fp32_data[] = { 0xa9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_f32_fp32_len = 10680; +const uint64_t matmul_id_f32_f32_fp32_len = 10680; unsigned char matmul_id_q2_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -36947,9 +40675,9 @@ unsigned char matmul_id_q2_k_f32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -37060,7 +40788,7 @@ unsigned char matmul_id_q2_k_f32_data[] = { 0x72,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x71,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x72,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x74,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x73,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x90,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -37092,7 +40820,7 @@ unsigned char matmul_id_q2_k_f32_data[] = { 0xc8,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xc7,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xcb,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xce,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xe9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -37262,7 +40990,7 @@ unsigned char matmul_id_q2_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -37303,487 +41031,485 @@ unsigned char matmul_id_q2_k_f32_data[] = { 0x18,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 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+0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q2_k_f32_len = 11712; +const uint64_t matmul_id_q2_k_f32_len = 11692; unsigned char matmul_id_q2_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -39957,9 +43683,9 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -40069,7 +43795,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x71,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x70,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x70,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x71,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -40100,7 +43826,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = { 0xc4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xc3,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc7,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xca,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xe5,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -40268,7 +43994,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0xff,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -40310,480 +44036,478 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 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+0xee,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q2_k_f32_fp32_len = 11592; +const uint64_t matmul_id_q2_k_f32_fp32_len = 11572; unsigned char matmul_id_q3_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -40932,9 +44656,9 @@ unsigned char matmul_id_q3_k_f32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -41046,7 +44770,7 @@ unsigned char matmul_id_q3_k_f32_data[] = { 0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0xf1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xf3,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0xf2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0xf2,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xf3,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x10,0x02,0x00,0x00,0x80,0x00,0x00,0x00, @@ -41078,7 +44802,7 @@ unsigned char matmul_id_q3_k_f32_data[] = { 0x06,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x86,0x00,0x00,0x00, 0x47,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4b,0x02,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4e,0x02,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x69,0x02,0x00,0x00,0x84,0x00,0x00,0x00, @@ -41246,7 +44970,7 @@ unsigned char matmul_id_q3_k_f32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x82,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -41288,641 +45012,640 @@ unsigned char matmul_id_q3_k_f32_data[] = { 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+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x14,0x03,0x00,0x00, +0xf8,0x00,0x02,0x00,0x16,0x03,0x00,0x00,0xf9,0x00,0x02,0x00, +0x0f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0f,0x03,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x75,0x03,0x00,0x00, +0x84,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x0c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0e,0x03,0x00,0x00, +0xf9,0x00,0x02,0x00,0x76,0x03,0x00,0x00,0xf8,0x00,0x02,0x00, +0x76,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_id_q3_k_f32_len = 13616; +const uint64_t matmul_id_q3_k_f32_len = 13596; unsigned char matmul_id_q3_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -44417,9 +48140,9 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -44531,7 +48254,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0xef,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf1,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xf1,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x0e,0x02,0x00,0x00, @@ -44562,7 +48285,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x44,0x02,0x00,0x00,0x86,0x00,0x00,0x00, 0x43,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x47,0x02,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x65,0x02,0x00,0x00,0x84,0x00,0x00,0x00, @@ -44729,7 +48452,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = { 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x7b,0x03,0x00,0x00, 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00, @@ -44770,635 +48493,634 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = { 0x55,0x00,0x00,0x00,0x8d,0x03,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0x91,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, -0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00, 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matmul_id_q4_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -45540,9 +49262,9 @@ unsigned char matmul_id_q4_0_f32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -45643,7 +49365,7 @@ unsigned char matmul_id_q4_0_f32_data[] = { 0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x41,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x41,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x42,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -45675,7 +49397,7 @@ unsigned char matmul_id_q4_0_f32_data[] = { 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x96,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x9d,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb8,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -45845,7 +49567,7 @@ unsigned char matmul_id_q4_0_f32_data[] = { 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00, 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00, @@ -45886,7 +49608,7 @@ unsigned char matmul_id_q4_0_f32_data[] = { 0x55,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0xe9,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, @@ -48385,9 +52107,9 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -48487,7 +52209,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00, @@ -48518,7 +52240,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x93,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x92,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x99,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -48687,7 +52409,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -48728,7 +52450,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = { 0xde,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xe2,0x02,0x00,0x00, 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00, @@ -49301,9 +53023,9 @@ unsigned char matmul_id_q4_1_f32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -49403,7 +53125,7 @@ unsigned char matmul_id_q4_1_f32_data[] = { 0x46,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x45,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x47,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x46,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x48,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x47,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x64,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -49435,7 +53157,7 @@ unsigned char matmul_id_q4_1_f32_data[] = { 0x9c,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x9b,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x9f,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xa2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xbd,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -49603,7 +53325,7 @@ unsigned char matmul_id_q4_1_f32_data[] = { 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00, 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00, @@ -49644,7 +53366,7 @@ unsigned char matmul_id_q4_1_f32_data[] = { 0x55,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0xee,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, @@ -52162,9 +55884,9 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -52264,7 +55986,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x43,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x44,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x44,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x45,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -52295,7 +56017,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = { 0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x97,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x9b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x9e,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xb9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -52462,7 +56184,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -52503,7 +56225,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = { 0xe3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xe7,0x02,0x00,0x00, 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00, @@ -53085,9 +56807,9 @@ unsigned char matmul_id_q4_k_f32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -53197,7 +56919,7 @@ unsigned char matmul_id_q4_k_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0xac,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xaf,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xcb,0x01,0x00,0x00, @@ -53229,7 +56951,7 @@ unsigned char matmul_id_q4_k_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x03,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x02,0x02,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x06,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x09,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x02,0x00,0x00, @@ -53398,7 +57120,7 @@ unsigned char matmul_id_q4_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -53439,557 +57161,555 @@ unsigned char matmul_id_q4_k_f32_data[] = { 0x51,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, 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+0x2e,0x03,0x00,0x00,0x42,0x03,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xd1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xca,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x30,0x03,0x00,0x00,0x41,0x03,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc7,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x31,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x03,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q4_k_f32_len = 12544; +const uint64_t matmul_id_q4_k_f32_len = 12524; unsigned char matmul_id_q4_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -56304,9 +60024,9 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -56417,7 +60137,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = { 0xab,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xaa,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xac,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xab,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xad,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xac,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc9,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -56447,7 +60167,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xff,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x02,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x20,0x02,0x00,0x00, @@ -56614,7 +60334,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x38,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -56656,550 +60376,548 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x4e,0x03,0x00,0x00,0xf5,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, -0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0xf9,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xca,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc3,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0x3a,0x03,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc0,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x2a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2a,0x03,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q4_k_f32_fp32_len = 12424; +const uint64_t matmul_id_q4_k_f32_fp32_len = 12404; unsigned char matmul_id_q5_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -57344,9 +61062,9 @@ unsigned char matmul_id_q5_0_f32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -57453,7 +61171,7 @@ unsigned char matmul_id_q5_0_f32_data[] = { 0x69,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x68,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x69,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6a,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x87,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -57485,7 +61203,7 @@ unsigned char matmul_id_q5_0_f32_data[] = { 0xbf,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xbe,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xe0,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -57655,7 +61373,7 @@ unsigned char matmul_id_q5_0_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -57696,7 +61414,7 @@ unsigned char matmul_id_q5_0_f32_data[] = { 0x0f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x13,0x03,0x00,0x00, 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00, @@ -60314,9 +64032,9 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -60422,7 +64140,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x66,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x67,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x67,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x68,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -60453,7 +64171,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = { 0xbb,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xba,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xbe,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc1,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xdc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00, @@ -60621,7 +64339,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0xf6,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -60663,7 +64381,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0xf5,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -61271,9 +64989,9 @@ unsigned char matmul_id_q5_1_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -61375,7 +65093,7 @@ unsigned char matmul_id_q5_1_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x83,0x01,0x00,0x00, @@ -61407,7 +65125,7 @@ unsigned char matmul_id_q5_1_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbb,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xba,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbe,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc1,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xdc,0x01,0x00,0x00, @@ -61576,7 +65294,7 @@ unsigned char matmul_id_q5_1_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -61617,7 +65335,7 @@ unsigned char matmul_id_q5_1_f32_data[] = { 0x0b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x0f,0x03,0x00,0x00, 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00, @@ -64213,9 +67931,9 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -64318,7 +68036,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = { 0x63,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x62,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x64,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x63,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x65,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x64,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x81,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -64348,7 +68066,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xb6,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xba,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbd,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd8,0x01,0x00,0x00, @@ -64515,7 +68233,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0xf2,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -64557,7 +68275,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0xf5,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -65164,9 +68882,9 @@ unsigned char matmul_id_q5_k_f32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -65279,7 +68997,7 @@ unsigned char matmul_id_q5_k_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd2,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0xd1,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd3,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd4,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xd3,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00, @@ -65311,7 +69029,7 @@ unsigned char matmul_id_q5_k_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x28,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x27,0x02,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2b,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2e,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x49,0x02,0x00,0x00, @@ -65480,7 +69198,7 @@ unsigned char matmul_id_q5_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x64,0x03,0x00,0x00,0x20,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -65521,595 +69239,593 @@ unsigned char matmul_id_q5_k_f32_data[] = { 0x76,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x7a,0x03,0x00,0x00, 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, -0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 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@@ unsigned char matmul_id_q5_k_f32_fp32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -68630,7 +72346,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = { 0xd0,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xcf,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xd1,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xd0,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xd2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xd1,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xee,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -68660,7 +72376,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x23,0x02,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x27,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2a,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x02,0x00,0x00, @@ -68827,7 +72543,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x5d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -68869,588 +72585,586 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x73,0x03,0x00,0x00,0xf5,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00, 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+0x4e,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x03,0x00,0x00, +0xf8,0x00,0x02,0x00,0x4f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q5_k_f32_fp32_len = 12948; +const uint64_t matmul_id_q5_k_f32_fp32_len = 12928; unsigned char matmul_id_q6_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -69599,9 +73313,9 @@ unsigned char matmul_id_q6_k_f32_data[] = { 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -69713,7 +73427,7 @@ unsigned char matmul_id_q6_k_f32_data[] = { 0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x95,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x96,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x96,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x97,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -69745,7 +73459,7 @@ unsigned char matmul_id_q6_k_f32_data[] = { 0x06,0x00,0x00,0x00,0xec,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xeb,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xef,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x0d,0x02,0x00,0x00,0x84,0x00,0x00,0x00, @@ -69913,7 +73627,7 @@ unsigned char matmul_id_q6_k_f32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x26,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -69955,526 +73669,525 @@ unsigned char matmul_id_q6_k_f32_data[] = { 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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00, +0x28,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x1a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00, +0x1a,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_id_q6_k_f32_len = 12236; +const uint64_t matmul_id_q6_k_f32_len = 12216; unsigned char matmul_id_q6_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -72739,9 +76452,9 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -72853,7 +76566,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x94,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x93,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x95,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x95,0x01,0x00,0x00,0x4e,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00, @@ -72884,7 +76597,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0xe8,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xe7,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xee,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x09,0x02,0x00,0x00,0x84,0x00,0x00,0x00, @@ -73051,7 +76764,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = { 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x1f,0x03,0x00,0x00, 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00, @@ -73092,520 +76805,519 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = { 0x55,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0x35,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00, 0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, -0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00, -0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00, -0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00, +0x21,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x13,0x03,0x00,0x00,0xf8,0x00,0x02,0x00, +0x13,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_id_q6_k_f32_fp32_len = 12116; +const uint64_t matmul_id_q6_k_f32_fp32_len = 12096; unsigned char matmul_id_q8_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -73747,9 +77459,9 @@ unsigned char matmul_id_q8_0_f32_data[] = { 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00, @@ -73849,7 +77561,7 @@ unsigned char matmul_id_q8_0_f32_data[] = { 0x41,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x40,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x42,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x41,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x43,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x42,0x01,0x00,0x00, 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -73882,7 +77594,7 @@ unsigned char matmul_id_q8_0_f32_data[] = { 0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x97,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x9e,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb9,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -74050,7 +77762,7 @@ unsigned char matmul_id_q8_0_f32_data[] = { 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0xd4,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -74092,448 +77804,446 @@ unsigned char matmul_id_q8_0_f32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0xf5,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, -0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, -0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00, -0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00, -0x04,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x66,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0xd6,0x02,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0xc6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc6,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q8_0_f32_len = 11080; +const uint64_t matmul_id_q8_0_f32_len = 11060; unsigned char matmul_id_q8_0_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -76603,9 +80313,9 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00, @@ -76704,7 +80414,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x3f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x3f,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x40,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -76736,7 +80446,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x93,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -76903,7 +80613,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = { 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 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+0xbf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbf,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q8_0_f32_fp32_len = 10960; +const uint64_t matmul_id_q8_0_f32_fp32_len = 10940; unsigned char matmul_q2_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -77524,9 +81232,9 @@ unsigned char matmul_q2_k_f32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -77618,7 +81326,7 @@ unsigned char matmul_q2_k_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x87,0x01,0x00,0x00, @@ -77649,7 +81357,7 @@ unsigned char matmul_q2_k_f32_data[] = { 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xb5,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb6,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb9,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xd4,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -77780,7 +81488,7 @@ unsigned char matmul_q2_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -77837,490 +81545,489 @@ unsigned char matmul_q2_k_f32_data[] = { 0x02,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, 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+0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00, +0xf4,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xec,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x88,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_q2_k_f32_len = 11240; +const uint64_t matmul_q2_k_f32_len = 11220; unsigned char matmul_q2_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -80379,9 +84086,9 @@ unsigned char matmul_q2_k_f32_fp32_data[] = { 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00, @@ -80474,7 +84181,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = { 0x65,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x64,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x66,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x67,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x66,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x85,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -80503,7 +84210,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = { 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xb1,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xd0,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -80632,7 +84339,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -80690,483 +84397,482 @@ unsigned char matmul_q2_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0xeb,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, -0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0xe5,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x81,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_q2_k_f32_fp32_len = 11120; +const uint64_t matmul_q2_k_f32_fp32_len = 11100; unsigned char matmul_q3_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -81315,9 +85021,9 @@ unsigned char matmul_q3_k_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -81411,7 +85117,7 @@ unsigned char matmul_q3_k_f32_data[] = { 0xe7,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xe6,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xe8,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xe7,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xe9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xe8,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x07,0x02,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -81441,7 +85147,7 @@ unsigned char matmul_q3_k_f32_data[] = { 0x31,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x35,0x02,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x36,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x39,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x02,0x00,0x00, @@ -81570,7 +85276,7 @@ unsigned char matmul_q3_k_f32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -81628,645 +85334,643 @@ unsigned char matmul_q3_k_f32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 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matmul_q3_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -84647,9 +88351,9 @@ unsigned char matmul_q3_k_f32_fp32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -84743,7 +88447,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0xe5,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0xe4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xe6,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0xe5,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0xe5,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xe6,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00,0x80,0x00,0x00,0x00, @@ -84772,7 +88476,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = { 0x2d,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x31,0x02,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x35,0x02,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x50,0x02,0x00,0x00, @@ -84900,7 +88604,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -84957,639 +88661,637 @@ unsigned char matmul_q3_k_f32_fp32_data[] = { 0x74,0x00,0x00,0x00,0x77,0x03,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 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-0x38,0x00,0x01,0x00, +0x21,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x0a,0x03,0x00,0x00, +0xf8,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x63,0x03,0x00,0x00,0x69,0x03,0x00,0x00, +0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x03,0x00,0x00, +0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00, +0x02,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x02,0x03,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x65,0x03,0x00,0x00, +0x68,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q3_k_f32_fp32_len = 13024; +const uint64_t matmul_q3_k_f32_fp32_len = 13004; unsigned char matmul_q4_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -85731,9 +89433,9 @@ unsigned char matmul_q4_0_f32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -85816,7 +89518,7 @@ unsigned char matmul_q4_0_f32_data[] = { 0x36,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x35,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x37,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x36,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x38,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x37,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x56,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -85846,7 +89548,7 @@ unsigned char matmul_q4_0_f32_data[] = { 0x80,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa3,0x01,0x00,0x00, @@ -85977,7 +89679,7 @@ unsigned char matmul_q4_0_f32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -86034,7 +89736,7 @@ unsigned char matmul_q4_0_f32_data[] = { 0x74,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0xd3,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00, @@ -88421,9 +92123,9 @@ unsigned char matmul_q4_0_f32_fp32_data[] = { 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00, @@ -88506,7 +92208,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x33,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x34,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x34,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x35,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -88535,7 +92237,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = { 0x7c,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x80,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x81,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x84,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00, @@ -88665,7 +92367,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -88722,7 +92424,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = { 0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xcc,0x02,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, @@ -89299,9 +93001,9 @@ unsigned char matmul_q4_1_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -89382,7 +93084,7 @@ unsigned char matmul_q4_1_f32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00, @@ -89413,7 +93115,7 @@ unsigned char matmul_q4_1_f32_data[] = { 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x89,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -89542,7 +93244,7 @@ unsigned char matmul_q4_1_f32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -89599,7 +93301,7 @@ unsigned char matmul_q4_1_f32_data[] = { 0x74,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0xd8,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00, @@ -92007,9 +95709,9 @@ unsigned char matmul_q4_1_f32_fp32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -92091,7 +95793,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = { 0x39,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x38,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x3a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x39,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x3b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x3a,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x59,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -92120,7 +95822,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = { 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x85,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0x84,0x00,0x00,0x00, @@ -92248,7 +95950,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -92305,7 +96007,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = { 0xcd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xd1,0x02,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, @@ -92891,9 +96593,9 @@ unsigned char matmul_q4_k_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -92985,7 +96687,7 @@ unsigned char matmul_q4_k_f32_data[] = { 0x06,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0xa1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0xa2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0xa2,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xa3,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xc2,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -93016,7 +96718,7 @@ unsigned char matmul_q4_k_f32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xf1,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xf4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -93145,7 +96847,7 @@ unsigned char matmul_q4_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -93202,561 +96904,559 @@ unsigned char matmul_q4_k_f32_data[] = { 0x3b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x3f,0x03,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, -0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 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+0xf9,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xcc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x25,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xcb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc4,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0x2c,0x03,0x00,0x00, +0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc1,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q4_k_f32_len = 12072; +const uint64_t matmul_q4_k_f32_len = 12052; unsigned char matmul_q4_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -95956,9 +99656,9 @@ unsigned char matmul_q4_k_f32_fp32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -96050,7 +99750,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa0,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa1,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa2,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc0,0x01,0x00,0x00, @@ -96080,7 +99780,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xec,0x01,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xed,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xf0,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x0b,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -96207,7 +99907,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -96265,554 +99965,552 @@ unsigned char matmul_q4_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0xeb,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, -0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 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+0x28,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xda,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xc5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1e,0x03,0x00,0x00,0x26,0x03,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x20,0x03,0x00,0x00,0x25,0x03,0x00,0x00, +0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xba,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q4_k_f32_fp32_len = 11952; +const uint64_t matmul_q4_k_f32_fp32_len = 11932; unsigned char matmul_q5_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -96957,9 +100655,9 @@ unsigned char matmul_q5_0_f32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -97049,7 +100747,7 @@ unsigned char matmul_q5_0_f32_data[] = { 0x5f,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x5e,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x60,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x61,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x60,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -97079,7 +100777,7 @@ unsigned char matmul_q5_0_f32_data[] = { 0xa9,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb1,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xcc,0x01,0x00,0x00, @@ -97210,7 +100908,7 @@ unsigned char matmul_q5_0_f32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -97267,7 +100965,7 @@ unsigned char matmul_q5_0_f32_data[] = { 0x74,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0xfe,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00, @@ -99776,9 +103474,9 @@ unsigned char matmul_q5_0_f32_fp32_data[] = { 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00, @@ -99868,7 +103566,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x5c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x5d,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x5d,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x5e,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -99897,7 +103595,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = { 0xa5,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa9,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xaa,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc8,0x01,0x00,0x00, @@ -100027,7 +103725,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -100084,7 +103782,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = { 0xf3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf7,0x02,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, @@ -100695,9 +104393,9 @@ unsigned char matmul_q5_1_f32_data[] = { 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00, @@ -100782,7 +104480,7 @@ unsigned char matmul_q5_1_f32_data[] = { 0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x59,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x5a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x5a,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x5b,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -100813,7 +104511,7 @@ unsigned char matmul_q5_1_f32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x01,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xa9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xac,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc7,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -100942,7 +104640,7 @@ unsigned char matmul_q5_1_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -100999,7 +104697,7 @@ unsigned char matmul_q5_1_f32_data[] = { 0xf5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x02,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, @@ -103485,9 +107183,9 @@ unsigned char matmul_q5_1_f32_fp32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -103571,7 +107269,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x58,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x59,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x01,0x00,0x00, @@ -103601,7 +107299,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xa5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xa8,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xc3,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -103728,7 +107426,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -103786,7 +107484,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,0xeb,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -104397,9 +108095,9 @@ unsigned char matmul_q5_k_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -104494,7 +108192,7 @@ unsigned char matmul_q5_k_f32_data[] = { 0x06,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0xc6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xc8,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0xc7,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0xc7,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xc9,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0xc8,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -104525,7 +108223,7 @@ unsigned char matmul_q5_k_f32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x15,0x02,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x16,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x19,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x34,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -104654,7 +108352,7 @@ unsigned char matmul_q5_k_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00, 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, @@ -104711,598 +108409,597 @@ unsigned char matmul_q5_k_f32_data[] = { 0x60,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x64,0x03,0x00,0x00, 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, 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+0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x4c,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe8,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_q5_k_f32_len = 12596; +const uint64_t matmul_q5_k_f32_len = 12576; unsigned char matmul_q5_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -107592,9 +111289,9 @@ unsigned char matmul_q5_k_f32_fp32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -107689,7 +111386,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = { 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc5,0x01,0x00,0x00, 0x51,0x00,0x00,0x00,0xc4,0x01,0x00,0x00,0x00,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc6,0x01,0x00,0x00, -0x84,0x00,0x00,0x00,0xc5,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0xc5,0x01,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc7,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0xc6,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xe5,0x01,0x00,0x00, @@ -107719,7 +111416,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x11,0x02,0x00,0x00, 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x12,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x15,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x30,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00, @@ -107846,7 +111543,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -107904,591 +111601,590 @@ unsigned char matmul_q5_k_f32_fp32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x5d,0x03,0x00,0x00,0xeb,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, -0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, -0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00, -0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00, 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+0x45,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0xcf,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe1,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_q5_k_f32_fp32_len = 12476; +const uint64_t matmul_q5_k_f32_fp32_len = 12456; unsigned char matmul_q6_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -108637,9 +112333,9 @@ unsigned char matmul_q6_k_f32_data[] = { 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -108733,7 +112429,7 @@ unsigned char matmul_q6_k_f32_data[] = { 0x8b,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x8a,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x8c,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x8b,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x8d,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x8c,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xab,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -108763,7 +112459,7 @@ unsigned char matmul_q6_k_f32_data[] = { 0xd5,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xda,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xdd,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf8,0x01,0x00,0x00, @@ -108892,7 +112588,7 @@ unsigned char matmul_q6_k_f32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -108950,530 +112646,528 @@ unsigned char matmul_q6_k_f32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 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-0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, -0x38,0x00,0x01,0x00, +0xcc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0x14,0x03,0x00,0x00, +0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00, +0x13,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xaa,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q6_k_f32_len = 11764; +const uint64_t matmul_q6_k_f32_len = 11744; unsigned char matmul_q6_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -111624,9 +115318,9 @@ unsigned char matmul_q6_k_f32_fp32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -111720,7 +115414,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x88,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x89,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x89,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x8a,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0xa9,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -111749,7 +115443,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = { 0xd1,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xd5,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd6,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd9,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf4,0x01,0x00,0x00, @@ -111877,7 +115571,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -111934,524 +115628,522 @@ unsigned char matmul_q6_k_f32_fp32_data[] = { 0x74,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0x1f,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0xa3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa5,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q6_k_f32_fp32_len = 11644; +const uint64_t matmul_q6_k_f32_fp32_len = 11624; unsigned char matmul_q8_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -112593,9 +116285,9 @@ unsigned char matmul_q8_0_f32_data[] = { 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -112678,7 +116370,7 @@ unsigned char matmul_q8_0_f32_data[] = { 0x37,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x36,0x01,0x00,0x00, 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x38,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x37,0x01,0x00,0x00, -0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x39,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x38,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x57,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, @@ -112708,7 +116400,7 @@ unsigned char matmul_q8_0_f32_data[] = { 0x81,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00, @@ -112837,7 +116529,7 @@ unsigned char matmul_q8_0_f32_data[] = { 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00, 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00, @@ -112895,452 +116587,450 @@ unsigned char matmul_q8_0_f32_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 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0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00, @@ -115380,7 +119070,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = { 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x51,0x00,0x00,0x00, 0x34,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x84,0x00,0x00,0x00, -0x35,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x35,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x86,0x00,0x00,0x00, 0x36,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x80,0x00,0x00,0x00, @@ -115409,7 +119099,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = { 0x7d,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x81,0x01,0x00,0x00,0x08,0x01,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x82,0x01,0x00,0x00, -0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00, 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa0,0x01,0x00,0x00, @@ -115537,7 +119227,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = { 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00, -0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00, 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00, @@ -115594,446 +119284,444 @@ unsigned char matmul_q8_0_f32_fp32_data[] = { 0x74,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0xcd,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, +0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -116687,10 +120375,10 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = { 0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x2c,0x01,0x00,0x00, 0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00, -0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x56,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, +0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, 0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfe,0x00,0x00,0x00, -0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x56,0x00,0x00,0x00, +0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00, 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0x32,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xcc,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00, -0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00, +0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xd0,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00, @@ -116967,10 +120655,10 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = { 0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x70,0x00,0x00,0x00, 0x3e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, -0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, +0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00, 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00, @@ -116987,10 +120675,10 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00, 0x2a,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x81,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7e,0x00,0x00,0x00, -0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00, 0xbe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00, -0x56,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, +0x1c,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 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0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00, @@ -117065,52 +120753,52 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = { 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00, -0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00, -0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 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0x08,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00, @@ -117186,8 +120874,8 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = { 0xf8,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x67,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x82,0x00,0x00,0x00, -0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x87,0x00,0x00,0x00, -0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x87,0x00,0x00,0x00, +0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00, 0x88,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -117205,44 +120893,44 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = { 0x88,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x99,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x92,0x00,0x00,0x00, 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0x3c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xe6,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, -0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, +0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00, 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00, @@ -117286,10 +120974,10 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00, 0x2a,0x01,0x00,0x00,0x69,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x7e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 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-117792,44 +121480,44 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00, 0x89,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x8b,0x00,0x00,0x00, -0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x8f,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x8f,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x27,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00, -0x8f,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00, +0x8f,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x82,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x99,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x99,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x27,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00, 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-117872,10 +121560,10 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = { 0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x06,0x01,0x00,0x00, 0x5b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00, -0xea,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x24,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, +0xea,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xad,0x00,0x00,0x00, -0xec,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x24,0x00,0x00,0x00, +0xec,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x1c,0x00,0x00,0x00, 0xe9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xec,0x00,0x00,0x00, 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -117891,45 +121579,45 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = { 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0xbe,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x41,0x00,0x05,0x00, -0x2f,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x42,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x40,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x77,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x67,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x79,0x00,0x00,0x00, @@ -118082,41 +121770,41 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00, -0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x8c,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x8c,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x25,0x00,0x00,0x00, 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-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xba,0x00,0x00,0x00, -0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xba,0x00,0x00,0x00, +0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xbb,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x6e,0x00,0x00,0x00,0xbb,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00, @@ -118140,10 +121828,10 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = { 0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, 0x14,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6d,0x00,0x00,0x00, 0xd2,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0xd1,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00, -0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00, +0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xd5,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0xd3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x6e,0x00,0x00,0x00, 0xd6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xcd,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xcd,0x00,0x00,0x00,0xe0,0x00,0x04,0x00, @@ -118160,17 +121848,17 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, 0x02,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x6d,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x6a,0x00,0x00,0x00, -0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xe7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x41,0x00,0x06,0x00, -0x48,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, -0x24,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, +0x1f,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t mul_mat_vec_id_f32_f32_len = 3392; -unsigned char mul_mat_vec_id_q2_K_f32_data[] = { +unsigned char mul_mat_vec_id_q2_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x14,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -118861,9 +122549,9 @@ unsigned char mul_mat_vec_id_q2_K_f32_data[] = { 0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_id_q2_K_f32_len = 8264; +const uint64_t mul_mat_vec_id_q2_k_f32_len = 8264; -unsigned char mul_mat_vec_id_q3_K_f32_data[] = { +unsigned char mul_mat_vec_id_q3_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x5c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -119688,7 +123376,7 @@ unsigned char mul_mat_vec_id_q3_K_f32_data[] = { 0x33,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x33,0x03,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_id_q3_K_f32_len = 9872; +const uint64_t mul_mat_vec_id_q3_k_f32_len = 9872; unsigned char mul_mat_vec_id_q4_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -119699,50 +123387,50 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00, 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-0x57,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00, +0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xaa,0x00,0x05,0x00, 0x91,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x74,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00, @@ -120005,10 +123693,10 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = { 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xfd,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x70,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, -0x82,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, +0x82,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, 0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0x00,0x01,0x00,0x00, -0xfa,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, +0xfa,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, 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mul_mat_vec_id_q4_K_f32_data[] = { +unsigned char mul_mat_vec_id_q4_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xc7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -121166,7 +124854,7 @@ unsigned char mul_mat_vec_id_q4_K_f32_data[] = { 0xf8,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_id_q4_K_f32_len = 9796; +const uint64_t mul_mat_vec_id_q4_k_f32_len = 9796; unsigned char mul_mat_vec_id_q5_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -121177,53 +124865,53 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00, 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uint64_t mul_mat_vec_id_q5_K_f32_len = 12668; +const uint64_t mul_mat_vec_id_q5_k_f32_len = 12668; -unsigned char mul_mat_vec_id_q6_K_f32_data[] = { +unsigned char mul_mat_vec_id_q6_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xf1,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -123924,7 +127612,7 @@ unsigned char mul_mat_vec_id_q6_K_f32_data[] = { 0xcf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x01,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_id_q6_K_f32_len = 11612; +const uint64_t mul_mat_vec_id_q6_k_f32_len = 11612; unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -123935,50 +127623,50 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, 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+127810,8 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0xf8,0x00,0x02,0x00,0x87,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x6d,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x88,0x00,0x00,0x00, -0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x41,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, +0x57,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8f,0x00,0x00,0x00, 0x8e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -124141,60 +127829,60 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0x8e,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9f,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x98,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00, -0x9f,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x89,0x00,0x05,0x00, 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0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xb6,0x00,0x00,0x00, 0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x85,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd2,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x85,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00, 0xd1,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0x85,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x38,0x01,0x00,0x00, @@ -124218,9 +127906,9 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0xe8,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x39,0x01,0x00,0x00, 0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00,0xe9,0x00,0x00,0x00, 0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00, -0x85,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xec,0x00,0x00,0x00, +0x85,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xed,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x85,0x00,0x00,0x00,0xed,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xe4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -124228,7 +127916,7 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0x95,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xdc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x00,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00, -0x39,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x39,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00, 0xaa,0x00,0x05,0x00,0x90,0x00,0x00,0x00,0xf2,0x00,0x00,0x00, 0x73,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, @@ -124237,10 +127925,10 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = { 0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x18,0x01,0x00,0x00, 0x6f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00, -0xfc,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x24,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, +0xfc,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, 0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00, -0xfe,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x24,0x00,0x00,0x00, +0xfe,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x22,0x00,0x00,0x00, 0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xfe,0x00,0x00,0x00, 0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -124723,7 +128411,7 @@ unsigned char mul_mat_vec_p021_f16_f32_data[] = { }; const uint64_t mul_mat_vec_p021_f16_f32_len = 2768; -unsigned char mul_mat_vec_q2_K_f16_f32_data[] = { +unsigned char mul_mat_vec_q2_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x49,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -125443,9 +129131,9 @@ unsigned char mul_mat_vec_q2_K_f16_f32_data[] = { 0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q2_K_f16_f32_len = 8612; +const uint64_t mul_mat_vec_q2_k_f16_f32_len = 8612; -unsigned char mul_mat_vec_q2_K_f32_f32_data[] = { +unsigned char mul_mat_vec_q2_k_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x39,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -126144,9 +129832,9 @@ unsigned char mul_mat_vec_q2_K_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q2_K_f32_f32_len = 8356; +const uint64_t mul_mat_vec_q2_k_f32_f32_len = 8356; -unsigned char mul_mat_vec_q3_K_f16_f32_data[] = { +unsigned char mul_mat_vec_q3_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x85,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -126984,9 +130672,9 @@ unsigned char mul_mat_vec_q3_K_f16_f32_data[] = { 0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q3_K_f16_f32_len = 10028; +const uint64_t mul_mat_vec_q3_k_f16_f32_len = 10028; -unsigned char mul_mat_vec_q3_K_f32_f32_data[] = { +unsigned char mul_mat_vec_q3_k_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x7d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -127814,7 +131502,7 @@ unsigned char mul_mat_vec_q3_K_f32_f32_data[] = { 0x41,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q3_K_f32_f32_len = 9900; +const uint64_t mul_mat_vec_q3_k_f32_f32_len = 9900; unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -127825,45 +131513,45 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00, -0x5b,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00, +0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00, 0x93,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0c,0x01,0x00,0x00, 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, 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0xa0,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -128052,52 +131740,52 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0x06,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x38,0x01,0x00,0x00, 0xb2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x47,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xb3,0x00,0x00,0x00, -0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,0x48,0x01,0x00,0x00, -0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x47,0x01,0x00,0x00, -0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00, +0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x48,0x01,0x00,0x00, +0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x47,0x01,0x00,0x00, +0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00, 0x49,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x73,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00, -0x41,0x00,0x08,0x00,0x6a,0x00,0x00,0x00,0x4f,0x01,0x00,0x00, -0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x47,0x01,0x00,0x00, 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+0x08,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, 0xe3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00, 0xe6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe9,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0xa7,0x00,0x00,0x00, @@ -128120,10 +131808,10 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00, 0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x41,0x00,0x05,0x00, 0x96,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x93,0x00,0x00,0x00, -0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x01,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x01,0x01,0x00,0x00, 0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0x97,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00, @@ -128131,7 +131819,7 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,0xc2,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x60,0x01,0x00,0x00, -0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00, +0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xaa,0x00,0x05,0x00, 0xa2,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x85,0x00,0x00,0x00, 0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x08,0x01,0x00,0x00, @@ -128140,10 +131828,10 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = { 0x07,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x0f,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x81,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0x10,0x01,0x00,0x00, -0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00, +0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x08,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00, 0x41,0x00,0x06,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00, -0x0c,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x0f,0x01,0x00,0x00, +0x0c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x0f,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x13,0x01,0x00,0x00,0x11,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x08,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, @@ -128160,45 +131848,45 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00, -0x5b,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00, 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0x06,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x5d,0x01,0x00,0x00, @@ -128453,9 +132141,9 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = { 0xfb,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x5e,0x01,0x00,0x00, 0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xfc,0x00,0x00,0x00, 0x93,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00, -0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00, +0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,0x00,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -128463,7 +132151,7 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = { 0xa7,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x01,0x00,0x00, -0x5e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x5e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00, 0xaa,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x05,0x01,0x00,0x00, 0x85,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, @@ -128472,10 +132160,10 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x3e,0x01,0x00,0x00, 0x81,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00, -0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00, +0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00, 0x0f,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00, -0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x5c,0x00,0x00,0x00, +0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x0e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00, 0x10,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x07,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -128492,46 +132180,46 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00, -0x5b,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00, 0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x14,0x01,0x00,0x00, 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, 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mul_mat_vec_q4_1_f16_f32_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00, 0x40,0x01,0x00,0x00,0xba,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0xc8,0x00,0x00,0x00, -0xbb,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00, -0x51,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, -0x50,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x53,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0x51,0x01,0x00,0x00, -0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x53,0x01,0x00,0x00, -0x52,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00, -0x57,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, -0x50,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x53,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x57,0x01,0x00,0x00, -0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x59,0x01,0x00,0x00, -0x58,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x72,0x00,0x00,0x00, -0x5e,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, 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0x8d,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x41,0x00,0x05,0x00, 0x9e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x9b,0x00,0x00,0x00, -0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x9f,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x09,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x9f,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x09,0x01,0x00,0x00, 0x08,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x9f,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0x00,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x01,0x00,0x00, @@ -128805,7 +132493,7 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = { 0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,0xc2,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x70,0x01,0x00,0x00, -0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00, +0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xaa,0x00,0x05,0x00, 0xaa,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x8d,0x00,0x00,0x00, 0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x10,0x01,0x00,0x00, @@ -128814,10 +132502,10 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = { 0x0f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x17,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x89,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x18,0x01,0x00,0x00, -0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00, +0x9b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00, 0x41,0x00,0x06,0x00,0x1a,0x01,0x00,0x00,0x1b,0x01,0x00,0x00, -0x14,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x17,0x01,0x00,0x00, +0x14,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x17,0x01,0x00,0x00, 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0x46,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x45,0x01,0x00,0x00, @@ -129033,8 +132721,8 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x6d,0x01,0x00,0x00, 0x87,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xf0,0x00,0x00,0x00, -0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0xa7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, +0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00, +0xa7,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x22,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x00,0x00,0x00, 0xa7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x98,0x00,0x00,0x00, @@ -129061,56 +132749,56 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00, 0x3e,0x01,0x00,0x00,0xba,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 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+0x08,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xed,0x00,0x00,0x00, 0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0x9f,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x6d,0x01,0x00,0x00, @@ -129134,9 +132822,9 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0x03,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x6e,0x01,0x00,0x00, 0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x04,0x01,0x00,0x00, 0x9b,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x07,0x01,0x00,0x00, -0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x07,0x01,0x00,0x00, +0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x08,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -129144,7 +132832,7 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00, -0x6e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00, 0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0x0d,0x01,0x00,0x00, 0x8d,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, @@ -129153,10 +132841,10 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x46,0x01,0x00,0x00, 0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00, -0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x18,0x01,0x00,0x00, +0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x18,0x01,0x00,0x00, 0x17,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00, -0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x5c,0x00,0x00,0x00, +0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x16,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x19,0x01,0x00,0x00, 0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -129164,7 +132852,7 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { }; const uint64_t mul_mat_vec_q4_1_f32_f32_len = 4012; -unsigned char mul_mat_vec_q4_K_f16_f32_data[] = { +unsigned char mul_mat_vec_q4_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x0c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -130033,9 +133721,9 @@ unsigned char mul_mat_vec_q4_K_f16_f32_data[] = { 0xcf,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x03,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q4_K_f16_f32_len = 10400; +const uint64_t mul_mat_vec_q4_k_f16_f32_len = 10400; -unsigned char mul_mat_vec_q4_K_f32_f32_data[] = { +unsigned char mul_mat_vec_q4_k_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xec,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -130862,7 +134550,7 @@ unsigned char mul_mat_vec_q4_K_f32_f32_data[] = { 0xb0,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q4_K_f32_f32_len = 9888; +const uint64_t mul_mat_vec_q4_k_f32_f32_len = 9888; unsigned char mul_mat_vec_q5_0_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -130873,48 +134561,48 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00, -0x5e,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00, +0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, 0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3a,0x01,0x00,0x00, 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00, 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0xc6,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00, -0x97,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x17,0x01,0x00,0x00, -0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0xce,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5f,0x00,0x00,0x00, +0x5e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x17,0x01,0x00,0x00, +0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00, +0xce,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x25,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcf,0x00,0x00,0x00, 0xce,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -131095,7 +134783,7 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = { 0xca,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0xb4,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 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0x6a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x6c,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x6b,0x01,0x00,0x00, @@ -131461,9 +135149,9 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = { 0xc6,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00, -0x97,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x16,0x01,0x00,0x00, -0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0xce,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5f,0x00,0x00,0x00, +0x5e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x16,0x01,0x00,0x00, +0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00, +0xce,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x25,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcf,0x00,0x00,0x00, 0xce,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xbf,0x00,0x00,0x00, @@ -131474,7 +135162,7 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = { 0xca,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0xb2,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0x84,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x55,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, 0xb4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xd8,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd7,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x00,0x00,0x00, @@ -131485,99 +135173,99 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = { 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x00,0x00,0x00, 0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe4,0x00,0x00,0x00, -0x55,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe4,0x00,0x00,0x00, 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0xff,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xc1,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xc1,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00, 0x0f,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0xc1,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0xaf,0x01,0x00,0x00, @@ -131947,7 +135635,7 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = { 0xb0,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0xc5,0x00,0x00,0x00, 0x2e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0xac,0x00,0x05,0x00, 0xcc,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb0,0x01,0x00,0x00, -0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00, +0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00, 0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0x1d,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x18,0x01,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -131959,9 +135647,9 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = { 0x26,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0xb0,0x01,0x00,0x00, 0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,0x27,0x01,0x00,0x00, 0xbd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00, -0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x2a,0x01,0x00,0x00, +0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x28,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x2b,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -131969,19 +135657,19 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = { 0xd1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x01,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00, -0xb0,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb0,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x01,0x00,0x00, 0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x30,0x01,0x00,0x00, -0xaf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, +0xaf,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, 0x32,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x32,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x6a,0x01,0x00,0x00, 0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00, -0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00, +0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x3b,0x01,0x00,0x00, 0x3a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x3c,0x01,0x00,0x00, -0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x5c,0x00,0x00,0x00, +0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x39,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3d,0x01,0x00,0x00, 0x3b,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x32,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x32,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -131998,48 +135686,48 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = { 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00, -0x5b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00, +0x7b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00, 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0x18,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x17,0x01,0x00,0x00, @@ -132326,37 +136014,37 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = { 0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0xaf,0x00,0x00,0x00, 0xae,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00, 0x26,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x25,0x01,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x27,0x01,0x00,0x00, -0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x27,0x01,0x00,0x00, +0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x29,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00, 0x27,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00, 0x2a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xe0,0x00,0x04,0x00, 0xd1,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x13,0x01,0x00,0x00, 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0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x41,0x00,0x06,0x00, 0xfd,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x35,0x01,0x00,0x00, -0x5c,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, +0x22,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t mul_mat_vec_q5_1_f32_f32_len = 4352; -unsigned char mul_mat_vec_q5_K_f16_f32_data[] = { +unsigned char mul_mat_vec_q5_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xf8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -133466,9 +137154,9 @@ unsigned char mul_mat_vec_q5_K_f16_f32_data[] = { 0xf8,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q5_K_f16_f32_len = 13288; +const uint64_t mul_mat_vec_q5_k_f16_f32_len = 13288; -unsigned char mul_mat_vec_q5_K_f32_f32_data[] = { +unsigned char mul_mat_vec_q5_k_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xd8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -134535,9 +138223,9 @@ unsigned char mul_mat_vec_q5_K_f32_f32_data[] = { 0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x04,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q5_K_f32_f32_len = 12776; +const uint64_t mul_mat_vec_q5_k_f32_f32_len = 12776; -unsigned char mul_mat_vec_q6_K_f16_f32_data[] = { +unsigned char mul_mat_vec_q6_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x26,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -135536,9 +139224,9 @@ unsigned char mul_mat_vec_q6_K_f16_f32_data[] = { 0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x01,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q6_K_f16_f32_len = 11960; +const uint64_t mul_mat_vec_q6_k_f16_f32_len = 11960; -unsigned char mul_mat_vec_q6_K_f32_f32_data[] = { +unsigned char mul_mat_vec_q6_k_f32_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0x16,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, @@ -136516,7 +140204,7 @@ unsigned char mul_mat_vec_q6_K_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0xe1,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, 0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_q6_K_f32_f32_len = 11704; +const uint64_t mul_mat_vec_q6_k_f32_f32_len = 11704; unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -136527,45 +140215,45 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 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+140346,59 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8f,0x00,0x00,0x00, 0xa6,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x07,0x01,0x00,0x00, -0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x08,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x08,0x01,0x00,0x00, 0x07,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x09,0x01,0x00,0x00, 0x0c,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3b,0x00,0x04,0x00, 0x09,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, 0x20,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x0c,0x00,0x00,0x00, -0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x12,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00, -0x17,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00, -0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00, +0x44,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00, 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0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -136829,7 +140517,7 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xee,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00, -0x5f,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x5f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00, 0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0x04,0x01,0x00,0x00, 0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00, @@ -136838,10 +140526,10 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x01,0x00,0x00, 0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00, -0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, 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0x7e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xe6,0x00,0x00,0x00, -0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0x9e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00, +0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00, +0x9e,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x9e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xa0,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00, @@ -137070,60 +140758,60 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = { 0x80,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xae,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x55,0x00,0x00,0x00, +0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00, -0xa9,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 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-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, -0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, +0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xe3,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00, @@ -137147,17 +140835,17 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = { 0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x84,0x00,0x00,0x00, 0x5d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00, 0xfa,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf9,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, -0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, +0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xfd,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00, 0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00, 0xfe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00, 0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe7,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xed,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x67,0x00,0x00,0x00, +0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x2d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xec,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00, 0x03,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00, @@ -137167,10 +140855,10 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00, 0x3c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x95,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x92,0x00,0x00,0x00, -0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x41,0x00,0x06,0x00, 0xd1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x09,0x01,0x00,0x00, -0x5c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, +0x22,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index e2d17a352..f389934ea 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -8,6 +8,7 @@ #include #include +#include #include #include #include @@ -57,6 +58,12 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA } \ } while (0) +#ifdef GGML_VULKAN_DEBUG +#define VK_LOG_DEBUG(msg) std::cerr << msg << std::endl +#else +#define VK_LOG_DEBUG(msg) ((void) 0) +#endif // GGML_VULKAN_DEBUG + struct ggml_backend_vk_context; struct vk_queue { @@ -159,9 +166,7 @@ struct vk_device { std::vector pipelines; ~vk_device() { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "destroy device " << name << std::endl; -#endif + VK_LOG_DEBUG("destroy device " << name); device.destroyCommandPool(compute_queue.pool); if (!single_queue) { device.destroyCommandPool(transfer_queue.pool); @@ -196,9 +201,7 @@ struct vk_buffer_struct { if (size == 0) { return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "~vk_buffer_struct(" << buffer << ", " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("~vk_buffer_struct(" << buffer << ", " << size << ")"); device->device.freeMemory(device_memory); device->device.destroyBuffer(buffer); @@ -355,6 +358,49 @@ struct ggml_vk_garbage_collector { std::vector contexts; }; +#if defined(GGML_VULKAN_MEMORY_DEBUG) || defined(GGML_VULKAN_DEBUG) +#include + +#define VK_LOG_MEMORY(msg) std::cerr << "ggml_vulkan memory: " << msg << std::endl + +static std::string format_size(size_t size) { + const size_t kib = 1024; + const size_t mib = kib * 1024; + const size_t gib = mib * 1024; + + std::ostringstream oss; + oss << std::fixed << std::setprecision(2); + + if (size >= gib) { + oss << static_cast(size) / gib << " GiB"; + } else if (size >= mib) { + oss << static_cast(size) / mib << " MiB"; + } else if (size >= kib) { + oss << static_cast(size) / kib << " KiB"; + } else { + oss << size << " B"; + } + + return oss.str(); +} + +static std::mutex log_mutex; + +class vk_memory_logger { +public: + vk_memory_logger(): total_device(0), total_host(0) {} + void log_allocation(vk_buffer_ref buf_ref, size_t size); + void log_deallocation(vk_buffer_ref buf_ref); + +private: + std::map allocations; // Track allocations + size_t total_device; + size_t total_host; +}; +#else +#define VK_LOG_MEMORY(msg) ((void) 0) +#endif // GGML_VULKAN_MEMORY_DEBUG + struct ggml_backend_vk_context { std::string name; @@ -379,8 +425,45 @@ struct ggml_backend_vk_context { bool initialized; size_t idx; + +#ifdef GGML_VULKAN_MEMORY_DEBUG + vk_memory_logger memory_logger; +#endif }; +#ifdef GGML_VULKAN_MEMORY_DEBUG +void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) { + std::lock_guard guard(log_mutex); + vk_buffer buf = buf_ref.lock(); + const bool device = bool(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eDeviceLocal); + const std::string type = device ? "device" : "host"; + allocations[buf->buffer] = size; + total_device += device ? size : 0; + total_host += device ? 0 : size; + VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); +} + +void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) { + if (buf_ref.expired() || buf_ref.lock()->size == 0) { + return; + } + + std::lock_guard guard(log_mutex); + vk_buffer buf = buf_ref.lock(); + const bool device = bool(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eDeviceLocal); + std::string type = device ? "device" : "host"; + auto it = allocations.find(buf->buffer); + total_device -= device ? it->second : 0; + total_host -= device ? 0 : it->second; + if (it != allocations.end()) { + VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); + allocations.erase(it); + } else { + VK_LOG_MEMORY("ERROR VULKAN" << buf->ctx->idx << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer); + } +} +#endif // GGML_VULKAN_MEMORY_DEBUG + struct vk_instance_t { vk::Instance instance; @@ -393,15 +476,11 @@ struct vk_instance_t { }; static std::shared_ptr ggml_vk_get_device(size_t idx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_device(" << idx << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")"); static std::weak_ptr devices[GGML_VK_MAX_DEVICES]; if (devices[idx].expired()) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "Initializing new vk_device" << std::endl; -#endif + VK_LOG_DEBUG("Initializing new vk_device"); std::shared_ptr device = std::make_shared(); device->initialized = false; devices[idx] = device; @@ -428,9 +507,7 @@ static vk_instance_t vk_instance; GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend); static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")"); GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT @@ -531,9 +608,7 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& } static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_pipeline_destroy_pipeline(" << pipeline->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_pipeline_destroy_pipeline(" << pipeline->name << ")"); for (auto& pool : pipeline->descriptor_pools) { device.destroyDescriptorPool(pool); } @@ -551,9 +626,7 @@ static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) } static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, uint32_t n) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")"); if (pipeline->descriptor_sets.size() >= pipeline->descriptor_set_idx + n) { // Enough descriptors are available return; @@ -583,16 +656,12 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx } static void ggml_pipeline_cleanup(vk_pipeline& pipeline) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_pipeline_cleanup(" << pipeline->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_pipeline_cleanup(" << pipeline->name << ")"); pipeline->descriptor_set_idx = 0; } static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx, vk_queue& q) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_cmd_buffer()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()"); if (q.cmd_buffers.size() > q.cmd_buffer_idx) { // Reuse command buffer return q.cmd_buffers[q.cmd_buffer_idx++]; @@ -612,9 +681,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx } static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_submission()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_submission()"); vk_submission s; s.buffer = ggml_vk_create_cmd_buffer(ctx, q); s.wait_semaphores = std::move(wait_semaphores); @@ -623,9 +690,7 @@ static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk } static void ggml_vk_submit(vk_context * ctx, vk::Fence fence) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_submit(" << ctx->seqs.size() << ", " << fence << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_submit(" << ctx->seqs.size() << ", " << fence << ")"); if (ctx->seqs.empty()) { return; } @@ -699,9 +764,7 @@ static void ggml_vk_submit(vk_context * ctx, vk::Fence fence) { } static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_find_queue_family_index()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_find_queue_family_index()"); const uint32_t qfsize = queue_family_props.size(); // Try with avoid preferences first @@ -747,9 +810,7 @@ static uint32_t ggml_vk_find_queue_family_index(std::vectorgc.contexts.emplace_back(); vk_context * result = &ctx->gc.contexts[ctx->gc.contexts.size() - 1]; memset((void *) result, 0, sizeof(vk_context)); @@ -775,9 +834,7 @@ static vk_context * ggml_vk_create_context(ggml_backend_vk_context * ctx, vk_que } static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()"); vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eBinary, 0 }; vk::SemaphoreCreateInfo ci{}; ci.setPNext(&tci); @@ -787,9 +844,7 @@ static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context * } static vk_semaphore * ggml_vk_create_timeline_semaphore(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()"); if (ctx->semaphore_idx >= ctx->gc.tl_semaphores.size()) { vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eTimeline, 0 }; vk::SemaphoreCreateInfo ci{}; @@ -808,9 +863,7 @@ static vk::Event ggml_vk_create_event(ggml_backend_vk_context * ctx) { } static void ggml_vk_queue_cleanup(ggml_backend_vk_context * ctx, vk_queue& q) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_queue_cleanup()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_queue_cleanup()"); // Requires command buffers to be done ctx->device->device.resetCommandPool(q.pool); @@ -830,9 +883,7 @@ static uint32_t find_properties(const vk::PhysicalDeviceMemoryProperties* mem_pr } static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")"); vk_buffer buf = std::make_shared(); if (size == 0) { @@ -892,8 +943,8 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz buf->device = ctx->device; -#ifdef GGML_VULKAN_DEBUG - std::cerr << "Created buffer " << buf->buffer << std::endl; +#ifdef GGML_VULKAN_MEMORY_DEBUG + ctx->memory_logger.log_allocation(buf, size); #endif return buf; @@ -928,6 +979,14 @@ static vk_buffer ggml_vk_create_buffer_device(ggml_backend_vk_context * ctx, siz } static void ggml_vk_destroy_buffer(vk_buffer& buf) { + if (buf == nullptr) { + return; + } + +#ifdef GGML_VULKAN_MEMORY_DEBUG + buf->ctx->memory_logger.log_deallocation(buf); +#endif + buf.reset(); } @@ -936,9 +995,7 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { } static void ggml_vk_sync_buffers(vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_sync_buffers()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_sync_buffers()"); const std::vector mem_barriers{ { { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite } } }; ctx->s->buffer.pipelineBarrier( @@ -952,9 +1009,7 @@ static void ggml_vk_sync_buffers(vk_context * ctx) { } static void ggml_vk_wait_events(vk_context * ctx, std::vector&& events) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_wait_events()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_wait_events()"); if (events.empty()) { return; } @@ -989,9 +1044,7 @@ static bool ggml_vk_build_shader(ggml_type type) { } static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_load_shaders(" << ctx->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_load_shaders(" << ctx->name << ")"); const std::shared_ptr device = ctx->device; @@ -1042,12 +1095,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared(); if (device->fp16) { - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); @@ -1140,12 +1193,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); @@ -1231,12 +1284,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); } else { - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); @@ -1329,12 +1382,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); @@ -1429,11 +1482,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_K_f32_f32", mul_mat_vec_q2_K_f32_f32_len, mul_mat_vec_q2_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_K_f32_f32", mul_mat_vec_q3_K_f32_f32_len, mul_mat_vec_q3_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_K_f32_f32", mul_mat_vec_q4_K_f32_f32_len, mul_mat_vec_q4_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f32_f32", mul_mat_vec_q5_K_f32_f32_len, mul_mat_vec_q5_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f32_f32", mul_mat_vec_q6_K_f32_f32_len, mul_mat_vec_q6_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32", mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32", mul_mat_vec_f16_f16_f32_len, mul_mat_vec_f16_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); @@ -1442,11 +1495,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_K_f16_f32", mul_mat_vec_q2_K_f16_f32_len, mul_mat_vec_q2_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_K_f16_f32", mul_mat_vec_q3_K_f16_f32_len, mul_mat_vec_q3_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_K_f16_f32", mul_mat_vec_q4_K_f16_f32_len, mul_mat_vec_q4_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f16_f32", mul_mat_vec_q5_K_f16_f32_len, mul_mat_vec_q5_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f16_f32", mul_mat_vec_q6_K_f16_f32_len, mul_mat_vec_q6_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32", mul_mat_vec_id_f32_f32_len, mul_mat_vec_id_f32_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32", mul_mat_vec_id_f16_f32_len, mul_mat_vec_id_f16_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); @@ -1455,11 +1508,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_K_f32", mul_mat_vec_id_q2_K_f32_len, mul_mat_vec_id_q2_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_K_f32", mul_mat_vec_id_q3_K_f32_len, mul_mat_vec_id_q3_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_K_f32", mul_mat_vec_id_q4_K_f32_len, mul_mat_vec_id_q4_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_K_f32", mul_mat_vec_id_q5_K_f32_len, mul_mat_vec_id_q5_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_K_f32", mul_mat_vec_id_q6_K_f32_len, mul_mat_vec_id_q6_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); // dequant shaders ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16", dequant_f32_len, dequant_f32_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); @@ -1468,11 +1521,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_K", dequant_q2_K_len, dequant_q2_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_K", dequant_q3_K_len, dequant_q3_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_K", dequant_q4_K_len, dequant_q4_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); // get_rows ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32", get_rows_f32_len, get_rows_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); @@ -1538,9 +1591,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { static void ggml_vk_print_gpu_info(size_t idx) { GGML_ASSERT(idx < vk_instance.device_indices.size()); size_t dev_num = vk_instance.device_indices[idx]; -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_print_gpu_info(" << dev_num << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_print_gpu_info(" << dev_num << ")"); GGML_ASSERT(vk_instance.initialized); std::vector devices = vk_instance.instance.enumeratePhysicalDevices(); @@ -1617,9 +1668,7 @@ void ggml_vk_instance_init() { if (vk_instance_initialized) { return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_instance_init()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_instance_init()"); vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; @@ -1710,9 +1759,7 @@ void ggml_vk_instance_init() { } else { // There can be two physical devices corresponding to the same GPU if there are 2 different drivers // This can cause error when splitting layers aross the devices, need to keep only 1 -#ifdef GGML_VULKAN_DEBUG - std::cerr << "Device " << i << " and device " << *old_device << " have the same device id" << std::endl; -#endif + VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same device id"); vk::PhysicalDeviceProperties2 old_prop; vk::PhysicalDeviceDriverProperties old_driver; @@ -1760,16 +1807,11 @@ void ggml_vk_instance_init() { vk_instance.device_indices.erase(r, vk_instance.device_indices.end()); vk_instance.device_indices.push_back(i); -#ifdef GGML_VULKAN_DEBUG - std::cerr << "Prioritize device " << i << " driver " << new_driver.driverName << " over device " << *old_device << " driver " << old_driver.driverName << std::endl; -#endif + VK_LOG_DEBUG("Prioritize device " << i << " driver " << new_driver.driverName << " over device " << *old_device << " driver " << old_driver.driverName); } -#ifdef GGML_VULKAN_DEBUG else { - std::cerr << "Prioritize device " << *old_device << " driver " << old_driver.driverName << " over device " << i << " driver " << new_driver.driverName << std::endl; - + VK_LOG_DEBUG("Prioritize device " << *old_device << " driver " << old_driver.driverName << " over device " << i << " driver " << new_driver.driverName << std::endl); } -#endif } } } @@ -1792,9 +1834,7 @@ void ggml_vk_instance_init() { static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) { GGML_ASSERT(idx < vk_instance.device_indices.size()); size_t dev_num = vk_instance.device_indices[idx]; -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_init(" << ctx->name << ", " << dev_num << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << dev_num << ")"); ggml_vk_instance_init(); std::vector devices = vk_instance.instance.enumeratePhysicalDevices(); @@ -1967,9 +2007,7 @@ static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) { } static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type type) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_to_fp16()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_to_fp16()"); switch (type) { case GGML_TYPE_F32: case GGML_TYPE_Q4_0: @@ -1991,9 +2029,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type } static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_context * ctx, ggml_type src0_type, ggml_type src1_type) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_mul_mat_mat_pipeline()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_mul_mat_mat_pipeline()"); if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) { return ctx->device->pipeline_matmul_f32; } @@ -2029,9 +2065,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte } static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_dequantize_mul_mat_vec()"); GGML_ASSERT(b_type == GGML_TYPE_F32 || b_type == GGML_TYPE_F16); switch (a_type) { @@ -2056,9 +2090,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * } static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_context * ctx, ggml_type src0_type, ggml_type src1_type) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_mul_mat_mat_id_pipeline()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_mul_mat_mat_id_pipeline()"); if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) { return ctx->device->pipeline_matmul_id_f32; } @@ -2091,9 +2123,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co } static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_get_dequantize_mul_mat_vec()"); GGML_ASSERT(b_type == GGML_TYPE_F32); switch (a_type) { @@ -2118,9 +2148,9 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context } static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_pool_malloc(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_pool_malloc(" << size << ")"); + VK_LOG_MEMORY("ggml_vk_pool_malloc"); + int best_i = -1; size_t best_size = std::numeric_limits::max(); //smallest unused buffer that fits our needs int worst_i = -1; @@ -2148,13 +2178,11 @@ static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size) ggml_vk_destroy_buffer(b); } - return ggml_vk_create_buffer_check(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal); + return ggml_vk_create_buffer_device(ctx, size); } static void ggml_vk_pool_free(ggml_backend_vk_context * ctx, vk_buffer& buffer) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_pool_free(" << buffer->size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_pool_free(" << buffer->size << ")"); for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer& b = ctx->buffer_pool[i]; if (b == nullptr) { @@ -2175,6 +2203,8 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_ } } + VK_LOG_MEMORY("ggml_vk_create_buffer_temp(" << size << ")"); + // Otherwise create new buffer vk_buffer buf = ggml_vk_pool_malloc(ctx, size); ctx->gc.temp_buffers.push_back(buf); @@ -2183,9 +2213,7 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_ } static void * ggml_vk_host_malloc(ggml_backend_vk_context * ctx, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_host_malloc(" << size << ")" << std::endl; -#endif + VK_LOG_MEMORY("ggml_vk_host_malloc(" << size << ")"); vk_buffer buf = ggml_vk_create_buffer(ctx, size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); @@ -2207,9 +2235,7 @@ static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) { if (ptr == nullptr) { return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_host_free(" << ptr << ")" << std::endl; -#endif + VK_LOG_MEMORY("ggml_vk_host_free(" << ptr << ")"); vk_buffer buf; size_t index; for (size_t i = 0; i < ctx->pinned_memory.size(); i++) { @@ -2261,13 +2287,11 @@ static void ggml_vk_dispatch_pipeline(ggml_backend_vk_context * ctx, vk_context const uint32_t wg0 = CEIL_DIV(elements[0], pipeline->wg_denoms[0]); const uint32_t wg1 = CEIL_DIV(elements[1], pipeline->wg_denoms[1]); const uint32_t wg2 = CEIL_DIV(elements[2], pipeline->wg_denoms[2]); -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline->name << ", {"; + VK_LOG_DEBUG("ggml_vk_dispatch_pipeline(" << pipeline->name << ", {"; for (auto& buffer : buffers) { std::cerr << "(" << buffer.buffer << ", " << buffer.offset << ", " << buffer.size << "), "; } - std::cerr << "}, (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl; -#endif + std::cerr << "}, (" << wg0 << "," << wg1 << "," << wg2 << "))"); std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; GGML_ASSERT(pipeline->descriptor_set_idx < pipeline->descriptor_sets.size()); @@ -2300,9 +2324,7 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector w } static void ggml_vk_ctx_end(vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_ctx_end(" << ctx << ", " << ctx->seqs.size() << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_ctx_end(" << ctx << ", " << ctx->seqs.size() << ")"); if (ctx->s == nullptr) { return; } @@ -2312,9 +2334,7 @@ static void ggml_vk_ctx_end(vk_context * ctx) { } static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_ctx_begin(" << ctx << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_ctx_begin(" << ctx << ")"); if (subctx->s != nullptr) { ggml_vk_ctx_end(subctx); } @@ -2324,9 +2344,7 @@ static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx } static size_t ggml_vk_align_size(size_t width, size_t align) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_align_size(" << width << ", " << align << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_align_size(" << width << ", " << align << ")"); return CEIL_DIV(width, align) * align; } @@ -2340,6 +2358,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, size_t size) { if (ctx->sync_staging == nullptr || ctx->sync_staging->size < size) { + VK_LOG_MEMORY("ggml_vk_ensure_sync_staging_buffer(" << size << ")"); ggml_vk_destroy_buffer(ctx->sync_staging); ctx->sync_staging = ggml_vk_create_buffer_check(ctx, size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, @@ -2348,9 +2367,7 @@ static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, si } static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * tensor, bool sync_staging = false) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_write_nc_async(" << tensor << ")"); GGML_ASSERT(!ggml_is_contiguous(tensor)); // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { @@ -2455,9 +2472,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont } static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")"); // Make sure ctx owns the buffer GGML_ASSERT(dst->ctx == ctx); @@ -2492,9 +2507,7 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "STAGING" << std::endl; -#endif + VK_LOG_DEBUG("STAGING"); // Staging buffer required vk_buffer staging = ctx->staging; @@ -2529,16 +2542,12 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont } static void ggml_vk_buffer_write_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")"); return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, size, size, 1, sync_staging); } static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_write_2d(" << width << ", " << height << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")"); // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { GGML_ASSERT(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); @@ -2563,16 +2572,12 @@ static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& ds } static void ggml_vk_buffer_write(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_write(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")"); ggml_vk_buffer_write_2d(ctx, dst, offset, src, 0, size, 1); } static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")"); GGML_ASSERT(width > 0); GGML_ASSERT(height > 0); GGML_ASSERT(src != nullptr); @@ -2606,9 +2611,7 @@ static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_conte return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "STAGING" << std::endl; -#endif + VK_LOG_DEBUG("STAGING"); // Fall back to staging buffer vk_buffer staging = ctx->staging; @@ -2635,9 +2638,7 @@ static void ggml_vk_buffer_read_async(ggml_backend_vk_context * ctx, vk_context } static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, size_t offset, void * dst, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_read(" << offset << ", " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_read(" << offset << ", " << size << ")"); if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); @@ -2659,9 +2660,7 @@ static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, s } static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_copy_async(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")"); // Make sure both buffers are on same ctx GGML_ASSERT(src->ctx == dst->ctx); @@ -2672,9 +2671,7 @@ static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t d static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { if (src->ctx == dst->ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")"); // Copy within the device ggml_backend_vk_context * ctx = src->ctx; @@ -2686,9 +2683,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); ctx->device->device.resetFences({ ctx->fence }); } else { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")"); // Copy device to device ggml_backend_vk_context * src_ctx = src->ctx; ggml_backend_vk_context * dst_ctx = dst->ctx; @@ -2706,9 +2701,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr } static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, uint32_t c, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")"); // Make sure ctx owns the buffer GGML_ASSERT(dst->ctx == ctx); @@ -2723,9 +2716,7 @@ static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst, } static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")"); const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -2753,9 +2744,7 @@ static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * su } static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, const ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_d2h_tensor_2d()"); const uint64_t ne0 = dst->ne[0]; const uint64_t ne1 = dst->ne[1]; const uint64_t ne2 = dst->ne[2]; @@ -2779,9 +2768,7 @@ static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * su } static uint32_t ggml_vk_guess_split_k(int m, int n, int k) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")"); // if (k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { // return 4; // } @@ -2813,9 +2800,7 @@ static vk_pipeline ggml_vk_guess_matmul_pipeline_intel(ggml_backend_vk_context * } static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n, bool aligned) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_guess_matmul_pipeline(" << m << ", " << n << ", " << aligned << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline(" << m << ", " << n << ", " << aligned << ")"); switch (ctx->device->vendor_id) { case VK_VENDOR_ID_AMD: return ggml_vk_guess_matmul_pipeline_amd(ctx, mmp, m, n, aligned); @@ -2837,9 +2822,7 @@ static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx, } static uint32_t ggml_vk_guess_matmul_pipeline_align(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ")"); return ggml_vk_guess_matmul_pipeline(ctx, mmp, m, n, true)->align; } @@ -2849,9 +2832,7 @@ static void ggml_vk_matmul( uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ")"); ggml_vk_sync_buffers(subctx); if (split_k == 1) { const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, k, ne02, ne12, broadcast2, broadcast3 }; @@ -2875,12 +2856,10 @@ static void ggml_vk_matmul_id( uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, uint32_t n_as, uint32_t nei0, uint32_t nei1, uint32_t nbi1, uint32_t ne11) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_matmul_id(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), ids: (" << ids.buffer->buffer << ", " << ids.offset << ", " << ids.size << "), " << + VK_LOG_DEBUG("ggml_vk_matmul_id(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), ids: (" << ids.buffer->buffer << ", " << ids.offset << ", " << ids.size << "), " << "m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", " << "batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", " << - "n_as: " << n_as << ", nei0: " << nei0 << ", nei1: " << nei1 << ", nbi1: " << nbi1 << ", ne11: " << ne11 << ")" << std::endl; -#endif + "n_as: " << n_as << ", nei0: " << nei0 << ", nei1: " << nei1 << ", nbi1: " << nbi1 << ", ne11: " << ne11 << ")"); ggml_vk_sync_buffers(subctx); const vk_mat_mat_id_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, nei0, nei1, nbi1, ne11 }; @@ -2910,10 +2889,8 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, ggml_ } static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context * subctx, vk_pipeline pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; - std::cerr << "buffer in size=" << in.buffer->size << ", buffer out size=" << out.buffer->size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; + std::cerr << "buffer in size=" << in.buffer->size << ", buffer out size=" << out.buffer->size << ")"); const int tensor_type_size = ggml_type_size(tensor->type); const uint32_t ne = ggml_nelements(tensor); @@ -2930,11 +2907,9 @@ static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context } static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT @@ -3105,11 +3080,9 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su } static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT @@ -3260,11 +3233,9 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context } static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1)); GGML_ASSERT(src0->nb[0] <= src0->nb[1] && src0->nb[2] <= src0->nb[3]); // NOLINT GGML_ASSERT(src1->nb[0] <= src1->nb[1] && src1->nb[2] <= src1->nb[3]); // NOLINT @@ -3333,11 +3304,9 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c } static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(!ggml_is_transposed(src0)); GGML_ASSERT(!ggml_is_transposed(src1)); GGML_ASSERT(!ggml_is_permuted(src0)); @@ -3410,9 +3379,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con } static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")"); if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && dst->ne[1] == 1) { ggml_vk_mul_mat_vec_p021_f16_f32(ctx, subctx, src0, src1, dst); } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && dst->ne[1] == 1) { @@ -3425,12 +3392,10 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx, } static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ids->type == GGML_TYPE_I32); @@ -3616,12 +3581,10 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * } static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3]; - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ids->type == GGML_TYPE_I32); @@ -3784,9 +3747,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte } static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_mul_mat_id(" << src0 << ", " << src1 << ", " << src2 << ", " << dst << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_mul_mat_id(" << src0 << ", " << src1 << ", " << src2 << ", " << dst << ")"); if (src2->ne[1] == 1 && (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) { ggml_vk_mul_mat_vec_id_q_f16(ctx, subctx, src0, src1, src2, dst); } else { @@ -4020,16 +3981,14 @@ static bool ggml_vk_op_supports_incontiguous(ggml_op op) { template static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst, ggml_op op, const PC&& pc) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; } if (src2 != nullptr) { std::cerr << "), (" << src2 << ", name=" << src2->name << ", type=" << src2->type << ", ne0=" << src2->ne[0] << ", ne1=" << src2->ne[1] << ", ne2=" << src2->ne[2] << ", ne3=" << src2->ne[3] << ", nb0=" << src2->nb[0] << ", nb1=" << src2->nb[1] << ", nb2=" << src2->nb[2] << ", nb3=" << src2->nb[3]; } - std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl; -#endif + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")"); GGML_ASSERT(op == GGML_OP_GET_ROWS || (!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type)))); // NOLINT GGML_ASSERT(ggml_vk_op_supports_incontiguous(op) || ggml_vk_dim01_contiguous(src0)); // NOLINT GGML_ASSERT(dst->extra != nullptr); @@ -4527,9 +4486,7 @@ static void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0 template static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t n, size_t k, size_t batch, size_t num_it, int split_k, int shader_size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")"); const size_t x_ne = m * k * batch; const size_t y_ne = k * n * batch; const size_t d_ne = m * n * batch; @@ -4943,9 +4900,7 @@ static void ggml_vk_test_h2d_nc(ggml_backend_vk_context * ctx, size_t ne0, size_ } static void ggml_vk_test_transfer(ggml_backend_vk_context * ctx, size_t ne, bool pinned) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_test_transfer(" << ne << ")"); // Check transfers are correct vk_buffer buffer = ggml_vk_create_buffer_check(ctx, sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); @@ -5029,9 +4984,7 @@ static void ggml_vk_quantize_data(const float * from, void * to, size_t ne, ggml } static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_type quant) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_test_dequant(" << ne << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_test_dequant(" << ne << ")"); const size_t x_sz = sizeof(float) * ne; const size_t x_sz_f16 = sizeof(ggml_fp16_t) * ne; const size_t qx_sz = ne * ggml_type_size(quant)/ggml_blck_size(quant); @@ -5108,9 +5061,7 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_ } static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m, size_t n, size_t k, size_t batch, size_t num_it, size_t split_k, size_t shader_size, ggml_type quant) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_test_dequant_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << ggml_type_name(quant) << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_test_dequant_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << ggml_type_name(quant) << ")"); const size_t x_ne = m * k * batch; const size_t y_ne = k * n * batch; const size_t d_ne = m * n * batch; @@ -5294,9 +5245,7 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m, #endif static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))"); ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu; extra->reset(); tensor->extra = extra; @@ -5304,9 +5253,7 @@ static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) } static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggml_tensor * node){ -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_preallocate_buffers_graph(" << node << ")"); ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; if (extra == nullptr) { @@ -5341,7 +5288,7 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm bool mmp = (use_src0 && use_src1 && src1_type == GGML_TYPE_F32) ? ggml_vk_get_mul_mat_mat_pipeline(ctx, src0_type, y_non_contig ? GGML_TYPE_F16 : src1->type) != nullptr : false; - const bool qx_needs_dequant = use_src0 && (mmp || x_non_contig); + const bool qx_needs_dequant = use_src0 && (!mmp || x_non_contig); const bool qy_needs_dequant = use_src1 && ((src1->type != GGML_TYPE_F16 && !y_f32_kernel) || y_non_contig); int split_k; @@ -5419,9 +5366,6 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm } static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_preallocate_buffers(x_size: " << ctx->prealloc_size_x << " y_size: " << ctx->prealloc_size_y << " split_k_size: " << ctx->prealloc_size_split_k << ")" << std::endl; -#endif #if defined(GGML_VULKAN_RUN_TESTS) ctx->staging = ggml_vk_create_buffer_check(ctx, 100ul * 1024ul * 1024ul, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, @@ -5560,6 +5504,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { #endif if (ctx->prealloc_x == nullptr || (ctx->prealloc_size_x > 0 && ctx->prealloc_x->size < ctx->prealloc_size_x)) { + VK_LOG_MEMORY("ggml_vk_preallocate_buffers(x_size: " << ctx->prealloc_size_x << ")"); // Resize buffer if (ctx->prealloc_x != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_x); @@ -5567,6 +5512,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { ctx->prealloc_x = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_x); } if (ctx->prealloc_y == nullptr || (ctx->prealloc_size_y > 0 && ctx->prealloc_y->size < ctx->prealloc_size_y)) { + VK_LOG_MEMORY("ggml_vk_preallocate_buffers(y_size: " << ctx->prealloc_size_y << ")"); // Resize buffer if (ctx->prealloc_y != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_y); @@ -5574,6 +5520,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { ctx->prealloc_y = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_y); } if (ctx->prealloc_split_k == nullptr || (ctx->prealloc_size_split_k > 0 && ctx->prealloc_split_k->size < ctx->prealloc_size_split_k)) { + VK_LOG_MEMORY("ggml_vk_preallocate_buffers(split_k_size: " << ctx->prealloc_size_split_k << ")"); // Resize buffer if (ctx->prealloc_split_k != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_split_k); @@ -5581,6 +5528,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_split_k); } if (ctx->staging == nullptr || (ctx->staging_size > 0 && ctx->staging->size < ctx->staging_size)) { + VK_LOG_MEMORY("ggml_vk_preallocate_buffers(staging_size: " << ctx->staging_size << ")"); // Resize buffer if (ctx->staging != nullptr) { ggml_vk_destroy_buffer(ctx->staging); @@ -5598,9 +5546,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_build_graph(" << node << ", " << ggml_op_name(node->op) << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_build_graph(" << node << ", " << ggml_op_name(node->op) << ")"); ctx->semaphore_idx = 0; ctx->staging_offset = 0; @@ -5823,9 +5769,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_ return true; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")"); #ifdef GGML_VULKAN_CHECK_RESULTS ggml_vk_check_results_0(ctx, params, tensor); @@ -5860,9 +5804,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_ // Clean up after graph processing is done static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_graph_cleanup()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_graph_cleanup()"); for (auto& buffer : ctx->gc.temp_buffers) { ggml_vk_pool_free(ctx, buffer); } @@ -5906,9 +5848,7 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) { // Clean up on backend free static void ggml_vk_cleanup(ggml_backend_vk_context * ctx) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_cleanup(" << ctx->idx << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->idx << ")"); ggml_vk_graph_cleanup(ctx); ggml_vk_destroy_buffer(ctx->prealloc_x); @@ -6003,9 +5943,7 @@ GGML_CALL static bool ggml_backend_buffer_is_vk(ggml_backend_buffer_t buffer) { } GGML_CALL static void ggml_backend_vk_buffer_free_buffer(ggml_backend_buffer_t buffer) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_free_buffer()" << std::endl; -#endif + VK_LOG_MEMORY("ggml_backend_vk_buffer_free_buffer()"); ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; ggml_vk_destroy_buffer(ctx->dev_buffer); delete ctx; @@ -6018,9 +5956,7 @@ GGML_CALL static void * ggml_backend_vk_buffer_get_base(ggml_backend_buffer_t bu } GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")"); ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; if (tensor->view_src != nullptr) { @@ -6036,9 +5972,7 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b } GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; @@ -6049,9 +5983,7 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu } GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; @@ -6109,9 +6041,7 @@ GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buff } GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")" << std::endl; -#endif + VK_LOG_MEMORY("ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")"); ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context; vk_buffer dev_buffer = nullptr; @@ -6154,9 +6084,7 @@ static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = { GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num) { ggml_vk_instance_init(); -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_buffer_type(" << dev_num << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_buffer_type(" << dev_num << ")"); GGML_ASSERT(dev_num < vk_instance.device_indices.size()); @@ -6180,16 +6108,12 @@ GGML_CALL static const char * ggml_backend_vk_host_buffer_name(ggml_backend_buff } GGML_CALL static void ggml_backend_vk_host_buffer_free_buffer(ggml_backend_buffer_t buffer) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_host_buffer_free_buffer()" << std::endl; -#endif + VK_LOG_MEMORY("ggml_backend_vk_host_buffer_free_buffer()"); ggml_vk_host_free(&vk_instance.contexts[0], buffer->context); } GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")" << std::endl; -#endif + VK_LOG_MEMORY("ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")"); size += 32; // Behave like the CPU buffer type void * ptr = nullptr; try { @@ -6246,9 +6170,7 @@ GGML_CALL static const char * ggml_backend_vk_name(ggml_backend_t backend) { GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend) { ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_free(" << ctx->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_free(" << ctx->name << ")"); size_t idx = ctx->idx; @@ -6272,9 +6194,7 @@ GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_t } GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_set_tensor_async(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); @@ -6292,9 +6212,7 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g } GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_get_tensor_async(" << size << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); @@ -6312,9 +6230,7 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c } GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_cpy_tensor_async()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; if ((dst->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) { ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; @@ -6337,9 +6253,7 @@ GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, c } GGML_CALL static void ggml_backend_vk_synchronize(ggml_backend_t backend) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_synchronize()" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_synchronize()"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; if(ctx->transfer_ctx == nullptr) { return; @@ -6367,9 +6281,7 @@ static bool ggml_vk_is_empty(ggml_tensor * node) { } GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; for (int i = 0; i < cgraph->n_nodes; i++) { @@ -6582,9 +6494,7 @@ GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num) { if (vk_instance.initialized[dev_num]) { return vk_instance.backends[dev_num]; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_backend_vk_init(" << dev_num << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_backend_vk_init(" << dev_num << ")"); ggml_backend_vk_context * ctx = &vk_instance.contexts[dev_num]; ggml_vk_init(ctx, dev_num); @@ -6800,9 +6710,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_ return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_check_results_0(" << tensor->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_check_results_0(" << tensor->name << ")"); ggml_tensor * src0 = tensor->src[0]; ggml_tensor * src1 = tensor->src[1]; @@ -7108,9 +7016,7 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_ return; } -#ifdef GGML_VULKAN_DEBUG - std::cerr << "ggml_vk_check_results_1(" << tensor->name << ")" << std::endl; -#endif + VK_LOG_DEBUG("ggml_vk_check_results_1(" << tensor->name << ")"); ggml_tensor * src0 = tensor->src[0]; ggml_tensor * src1 = tensor->src[1]; diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 400a63f57..38914eedb 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -4,2727 +4,43 @@ import logging import argparse import asyncio import os -import sys -from tempfile import gettempdir, NamedTemporaryFile +from tempfile import gettempdir logger = logging.getLogger("ggml-vk-generate-shaders") -shader_f32 = """ -#define FLOAT_TYPE float -""" -shader_f16 = """ -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#define FLOAT_TYPE float16_t -""" -shader_int8_ext = """ -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require -""" - -# Type-specific defines -shader_f32_defines = """ -#define QUANT_K 1 -#define QUANT_R 1 - -#define A_TYPE float -""" -shader_f16_defines = """ -#define QUANT_K 1 -#define QUANT_R 1 - -#define A_TYPE float16_t -""" -shader_q4_0_defines = """ -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -#define A_TYPE block_q4_0 -""" -shader_q4_1_defines = """ -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_1 -{ - float16_t d; - float16_t m; - uint8_t qs[16]; -}; - -#define A_TYPE block_q4_1 -""" -shader_q5_0_defines = """ -#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q5_0 -{ - float16_t d; - uint16_t qh[2]; - uint8_t qs[16]; -}; - -#define A_TYPE block_q5_0 -""" -shader_q5_1_defines = """ -#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q5_1 -{ - float16_t d; - float16_t m; - uint qh; - uint8_t qs[16]; -}; - -#define A_TYPE block_q5_1 -""" -shader_q8_0_defines = """ -#define QUANT_K 32 -#define QUANT_R 1 - -struct block_q8_0 -{ - float16_t d; - int8_t qs[32]; -}; - -#define A_TYPE block_q8_0 -""" - -# K-quants -shader_q2_K_defines = """ -#define QUANT_K 256 - -struct block_q2_K -{ - uint8_t scales[QUANT_K/16]; - uint8_t qs[QUANT_K/4]; - f16vec2 d; -}; - -#define A_TYPE block_q2_K -""" -shader_q3_K_defines = """ -#define QUANT_K 256 - -struct block_q3_K -{ - uint8_t hmask[QUANT_K/8]; - uint8_t qs[QUANT_K/4]; - uint8_t scales[12]; - float16_t d; -}; - -#define A_TYPE block_q3_K -""" -shader_q4_K_defines = """ -#define QUANT_K 256 - -struct block_q4_K -{ - f16vec2 d; - uint8_t scales[3*QUANT_K/64]; - uint8_t qs[QUANT_K/2]; -}; - -#define A_TYPE block_q4_K -""" -shader_q5_K_defines = """ -#define QUANT_K 256 - -struct block_q5_K -{ - f16vec2 d; - uint8_t scales[12]; - uint8_t qh[QUANT_K/8]; - uint8_t qs[QUANT_K/2]; -}; - -#define A_TYPE block_q5_K -""" -shader_q6_K_defines = """ -#define QUANT_K 256 - -struct block_q6_K -{ - uint8_t ql[QUANT_K/2]; - uint8_t qh[QUANT_K/4]; - int8_t scales[QUANT_K/16]; - float16_t d; -}; - -#define A_TYPE block_q6_K -""" - -# Dequant functions -shader_float_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]); -} -""" - -shader_q4_0_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - const float d = float(data_a[a_offset + ib].d); - const uint vui = uint(data_a[a_offset + ib].qs[iqs]); - return (vec2(vui & 0xF, vui >> 4) - 8.0f) * d; -} -""" - -shader_q4_1_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - const float d = float(data_a[a_offset + ib].d); - const float m = float(data_a[a_offset + ib].m); - const uint vui = uint(data_a[a_offset + ib].qs[iqs]); - return vec2(vui & 0xF, vui >> 4) * d + m; -} -""" - -shader_q5_0_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - const float d = float(data_a[a_offset + ib].d); - const uint uint_qh = uint(data_a[a_offset + ib].qh[1]) << 16 | data_a[a_offset + ib].qh[0]; - const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); - const uint vui = uint(data_a[a_offset + ib].qs[iqs]); - return (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d; -} -""" - -shader_q5_1_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - const float d = float(data_a[a_offset + ib].d); - const float m = float(data_a[a_offset + ib].m); - const uint uint_qh = data_a[a_offset + ib].qh; - const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); - const uint vui = uint(data_a[a_offset + ib].qs[iqs]); - return vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m; -} -""" - -shader_q8_0_dequant_func = """ -vec2 dequantize(uint ib, uint iqs, uint a_offset) { - const float d = float(data_a[a_offset + ib].d); - return vec2(int(data_a[a_offset + ib].qs[iqs]), int(data_a[a_offset + ib].qs[iqs + 1])) * d; -} -""" - -# MULMAT - -mulmat_head = """#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require - -#ifdef MUL_MAT_ID -#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require - -#define EXPERT_COUNT 8 -#endif - -#ifndef LOAD_VEC_A -#define LOAD_VEC_A 1 -#endif -#ifndef LOAD_VEC_B -#define LOAD_VEC_B 1 -#endif -""" - -mulmat_body1 = """ -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; -layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; - -#ifdef MUL_MAT_ID -layout (binding = 3) readonly buffer IDS {int data_ids[];}; -#endif - -layout (push_constant) uniform parameter -{ - uint M; - uint N; - uint K; - uint stride_a; - uint stride_b; - uint stride_d; - - uint batch_stride_a; - uint batch_stride_b; - uint batch_stride_d; - -#ifdef MUL_MAT_ID - uint nei0; - uint nei1; - uint nbi1; - uint ne11; -#else - uint k_split; - uint ne02; - uint ne12; - uint broadcast2; - uint broadcast3; -#endif -} p; - -layout (constant_id = 1) const uint BM = 64; -layout (constant_id = 2) const uint BN = 64; -layout (constant_id = 3) const uint BK = 16; // Assumed to be 32 if working with a quant -layout (constant_id = 4) const uint WM = 32; -layout (constant_id = 5) const uint WN = 32; -layout (constant_id = 6) const uint WMITER = 2; -layout (constant_id = 7) const uint TM = 4; -layout (constant_id = 8) const uint TN = 2; -layout (constant_id = 9) const uint WARP = 32; - -shared FLOAT_TYPE buf_a[BM * (BK+1)]; -shared FLOAT_TYPE buf_b[BN * (BK+1)]; - -#ifdef MUL_MAT_ID -shared u16vec2 row_ids[2048]; -#endif - -void main() { -#ifdef MUL_MAT_ID - const uint expert_idx = gl_GlobalInvocationID.z; -#else - const uint batch_idx = gl_GlobalInvocationID.z; - - const uint i13 = batch_idx / p.ne12; - const uint i12 = batch_idx % p.ne12; - - const uint i03 = i13 / p.broadcast3; - const uint i02 = i12 / p.broadcast2; - - const uint batch_idx_a = i03 * p.ne02 + i02; -#endif - - const uint blocks_m = (p.M + BM - 1) / BM; - const uint ir = gl_WorkGroupID.x % blocks_m; - const uint ik = gl_WorkGroupID.x / blocks_m; - const uint ic = gl_WorkGroupID.y; - - const uint warp_i = gl_LocalInvocationID.x / WARP; - const uint warp_r = warp_i % (BM / WM); - const uint warp_c = warp_i / (BM / WM); - - const uint WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const uint WSUBM = WM / WMITER; - const uint WSUBN = WN / WNITER; - - const uint tiw = gl_LocalInvocationID.x % WARP; - const uint tiwr = tiw % (WSUBM / TM); - const uint tiwc = tiw / (WSUBM / TM); - - const uint loadr_a = gl_LocalInvocationID.x % (BK / LOAD_VEC_A); - const uint loadc_a = gl_LocalInvocationID.x / (BK / LOAD_VEC_A); - const uint loadr_b = gl_LocalInvocationID.x % (BK / LOAD_VEC_B); - const uint loadc_b = gl_LocalInvocationID.x / (BK / LOAD_VEC_B); - - const uint loadstride_a = gl_WorkGroupSize.x * LOAD_VEC_A / BK; - const uint loadstride_b = gl_WorkGroupSize.x * LOAD_VEC_B / BK; - -#ifdef MUL_MAT_ID - uint _ne1 = 0; - for (uint ii1 = 0; ii1 < p.nei1; ii1++) { - for (uint ii0 = 0; ii0 < p.nei0; ii0++) { - if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) { - row_ids[_ne1] = u16vec2(ii0, ii1); - _ne1++; - } - } - } - - barrier(); - - // Workgroup has no work - if (ic * BN >= _ne1) return; -#endif - -#ifdef MUL_MAT_ID - const uint start_k = 0; - const uint end_k = p.K; -#else - const uint start_k = ik * p.k_split; - const uint end_k = min(p.K, (ik + 1) * p.k_split); -#endif - - uint pos_a = ( -#ifdef MUL_MAT_ID - expert_idx * p.batch_stride_a + -#else - batch_idx_a * p.batch_stride_a + -#endif - ir * BM * p.stride_a + start_k) / LOAD_VEC_A; -#ifdef MUL_MAT_ID - uint pos_b = 0; -#else - uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B; -#endif - - float sums[WMITER * TM * WNITER * TN]; - FLOAT_TYPE cache_a[WMITER * TM]; - FLOAT_TYPE cache_b[WNITER * TN]; - - [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (uint block = start_k; block < end_k; block += BK) { - [[unroll]] for (uint l = 0; l < BM; l += loadstride_a) {""" - -mulmat_load_scalar = """ -#if LOAD_VEC_A == 8 - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - buf_a[buf_idx ] = FLOAT_TYPE(data_a[idx][0].x); - buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx][0].y); - buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx][0].z); - buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx][0].w); - buf_a[buf_idx + 4] = FLOAT_TYPE(data_a[idx][1].x); - buf_a[buf_idx + 5] = FLOAT_TYPE(data_a[idx][1].y); - buf_a[buf_idx + 6] = FLOAT_TYPE(data_a[idx][1].z); - buf_a[buf_idx + 7] = FLOAT_TYPE(data_a[idx][1].w); -#elif LOAD_VEC_A == 4 - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - buf_a[buf_idx ] = FLOAT_TYPE(data_a[idx].x); - buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx].y); - buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx].z); - buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx].w); -#else - if (ir * BM + loadc_a + l < p.M && block + loadr_a < end_k) { - buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(data_a[pos_a + (loadc_a + l) * p.stride_a + loadr_a]); - } else { - buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(0.0f); - } -#endif -""" - -mulmat_load_q4_0 = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; - - const uint ib = idx / 16; - const uint iqs = idx & 0xF; - - const float d = float(data_a[ib].d); - const uint vui = uint(data_a[ib].qs[iqs]); - const vec2 v = (vec2(vui & 0xF, vui >> 4) - 8.0f) * d; - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);""" - -mulmat_load_q4_1 = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; - - const uint ib = idx / 16; - const uint iqs = idx & 0xF; - - const float d = float(data_a[ib].d); - const float m = float(data_a[ib].m); - const uint vui = uint(data_a[ib].qs[iqs]); - const vec2 v = vec2(vui & 0xF, vui >> 4) * d + m; - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);""" - -mulmat_load_q5_0 = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; - - const uint ib = idx / 16; - const uint iqs = idx & 0xF; - - const float d = float(data_a[ib].d); - const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; - const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); - const uint vui = uint(data_a[ib].qs[iqs]); - const vec2 v = (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d; - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);""" - -mulmat_load_q5_1 = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; - - const uint ib = idx / 16; - const uint iqs = idx & 0xF; - - const float d = float(data_a[ib].d); - const float m = float(data_a[ib].m); - const uint uint_qh = data_a[ib].qh; - const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); - const uint vui = uint(data_a[ib].qs[iqs]); - const vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m; - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);""" - -mulmat_load_q8_0 = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 16; - const uint iqs = (idx & 0xF) * 2; - - const float d = float(data_a[ib].d); - const vec2 v = vec2(int(data_a[ib].qs[iqs]), int(data_a[ib].qs[iqs + 1])) * d; - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);""" - - -mulmat_load_q2_K = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 128; // 2 values per idx - const uint iqs = idx % 128; // 0..127 - - const uint qsi = (iqs / 64) * 32 + (iqs % 16) * 2; // 0,2,4..30 - const uint scalesi = iqs / 8; // 0..15 - const uint qsshift = ((iqs % 64) / 16) * 2; // 0,2,4,6 - - const uvec2 qs = uvec2(data_a[ib].qs[qsi], data_a[ib].qs[qsi + 1]); - const uint scales = data_a[ib].scales[scalesi]; - const vec2 d = vec2(data_a[ib].d); - - const vec2 v = d.x * float(scales & 0xF) * vec2((qs >> qsshift) & 3) - d.y * float(scales >> 4); - - buf_a[buf_idx ] = FLOAT_TYPE(v.x); - buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);""" - -mulmat_load_q3_K = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 128; // 2 values per idx - const uint iqs = idx % 128; // 0..127 - - const uint n = iqs / 64; // 0,1 - const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..62 - const uint hmi = (iqs % 16) * 2; // 0,2,4..30 - const uint j = (iqs % 64) / 4; // 0..3 - const uint is = iqs / 8; // 0..15 - const uint halfsplit = ((iqs % 64) / 16); // 0,1,2,3 - const uint qsshift = halfsplit * 2; // 0,2,4,6 - const uint m = 1 << (4 * n + halfsplit); // 1,2,4,8,16,32,64,128 - - const int8_t us = int8_t(is < 4 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is+0] >> 4) & 3) << 4) : - (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is-4] >> 6) & 3) << 4)); - const float dl = float(data_a[ib].d) * float(us - 32); - - buf_a[buf_idx ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi ] & m) != 0) ? 0 : 4))); - buf_a[buf_idx + 1] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4)));""" - -mulmat_load_q4_K = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 128; // 2 values per idx - const uint iqs = idx % 128; // 0..127 - - const uint n = iqs / 32; // 0,1,2,3 - const uint b = (iqs % 32) / 16; // 0,1 - const uint is = 2 * n + b; // 0..7 - const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..126 - - const vec2 loadd = vec2(data_a[ib].d); - - uint8_t sc; - uint8_t mbyte; - if (is < 4) { - sc = uint8_t(data_a[ib].scales[is ] & 63); - mbyte = uint8_t(data_a[ib].scales[is + 4] & 63); - } else { - sc = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4)); - mbyte = uint8_t((data_a[ib].scales[is + 4] >> 4) | ((data_a[ib].scales[is ] >> 6) << 4)); - } - const float d = loadd.x * sc; - const float m = loadd.y * mbyte; - - buf_a[buf_idx ] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) - m); - buf_a[buf_idx + 1] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) - m);""" - -mulmat_load_q5_K = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 128; // 2 values per idx - const uint iqs = idx % 128; // 0..127 - - const uint n = iqs / 32; // 0,1,2,3 - const uint b = (iqs % 32) / 16; // 0,1 - const uint is = 2 * n + b; // 0..7 - const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..126 - const uint qhi = (iqs % 16) * 2; // 0,2,4..30 - - const uint8_t hm = uint8_t(1 << (iqs / 16)); - - const vec2 loadd = vec2(data_a[ib].d); - - uint8_t sc; - uint8_t mbyte; - if (is < 4) { - sc = uint8_t(data_a[ib].scales[is ] & 63); - mbyte = uint8_t(data_a[ib].scales[is + 4] & 63); - } else { - sc = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4)); - mbyte = uint8_t((data_a[ib].scales[is + 4] >> 4) | ((data_a[ib].scales[is ] >> 6) << 4)); - } - const float d = loadd.x * sc; - const float m = loadd.y * mbyte; - - buf_a[buf_idx ] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi ] & hm) != 0 ? 16 : 0)) - m); - buf_a[buf_idx + 1] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0)) - m);""" - -mulmat_load_q6_K = """ - const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; - const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; - - const uint ib = idx / 128; // 2 values per idx - const uint iqs = idx % 128; // 0..127 - - const uint n = iqs / 64; // 0,1 - const uint b = (iqs % 64) / 32; // 0,1 - const uint is_b = (iqs % 16) / 8; // 0,1 - const uint qhshift = ((iqs % 64) / 16) * 2; // 0,2,4,6 - const uint is = 8 * n + qhshift + is_b; // 0..15 - const uint qsi = n * 64 + (iqs % 32) * 2; // 0,2,4..126 - const uint qhi = n * 32 + (iqs % 16) * 2; // 0,2,4..62 - - const float dscale = float(data_a[ib].d) * float(data_a[ib].scales[is]); - - buf_a[buf_idx ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32)); - buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));""" - -mulmat_body2 = """ - } - [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) { -#if LOAD_VEC_B == 8 -#ifdef MUL_MAT_ID - const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l]; - const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b; -#else - const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b; -#endif - const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B; - buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x); - buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y); - buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx][0].z); - buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx][0].w); - buf_b[buf_idx + 4] = FLOAT_TYPE(data_b[idx][1].x); - buf_b[buf_idx + 5] = FLOAT_TYPE(data_b[idx][1].y); - buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z); - buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w); -#elif LOAD_VEC_B == 4 -#ifdef MUL_MAT_ID - const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l]; - const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b; -#else - const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b; -#endif - const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B; - buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x); - buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y); - buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z); - buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w); -#elif !MUL_MAT_ID - if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) { - buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]); - } else { - buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f); - } -#else - const uint row_i = ic * BN + loadc_b + l; - if (row_i < _ne1) { - const u16vec2 row_idx = row_ids[row_i]; - buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]); - } else { - buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f); - } -#endif - } - - barrier(); - - pos_a += BK / LOAD_VEC_A; - pos_b += BK / LOAD_VEC_B; - - for (uint i = 0; i < BK; i++) { - // Load from shared into cache - [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (uint j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (uint j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (uint cc = 0; cc < TN; cc++) { - [[unroll]] for (uint cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const uint dr = ir * BM + warp_r * WM; - const uint dc = ic * BN + warp_c * WN; - -#ifndef MUL_MAT_ID - const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z; -#endif - - [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { - - const uint dr_warp = dr + wsir * WSUBM + tiwr * TM; - const uint dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (uint cc = 0; cc < TN; cc++) { -#ifdef MUL_MAT_ID - const uint row_i = dc_warp + cc; - if (row_i >= _ne1) break; - - const u16vec2 row_idx = row_ids[row_i]; -#endif - [[unroll]] for (uint cr = 0; cr < TM; cr++) { -#ifdef MUL_MAT_ID - data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); -#else - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); - } -#endif - } - } - } - } -} -""" - -mulmat_split_k_reduce_src = """#version 450 - -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {float data_a[];}; -layout (binding = 1) writeonly buffer D {float data_d[];}; - -layout (push_constant) uniform parameter { - uint ne; - uint k_num; -} p; - -void main() { - const uint idx = gl_GlobalInvocationID.x; - - if (idx >= p.ne) { - return; - } - - float result = 0.0f; - - [[unroll]] for (uint i = 0; i < p.k_num; i++) { - result += data_a[i * p.ne + idx]; - } - - data_d[idx] = result; -} -""" - -# DEQUANT SHADER -dequant_head = """#version 450 - -#extension GL_EXT_control_flow_attributes : require -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint M; - uint K; - uint stride_a; - uint stride_b; - uint nel; -} p; -""" - -dequant_f32_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {float data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_GlobalInvocationID.x * 16; - - if (i >= p.nel) { - return; - } - - [[unroll]] for (uint l = 0; l < 16; l++) { - data_b[i + l] = D_TYPE(data_a[i + l]); - } -} -""" - -dequant_q4_0_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {block_q4_0 data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - - const uint tid = gl_LocalInvocationID.x % 64; - const uint il = tid/32; - const uint ir = tid%32; - const uint ib = 32*i + ir; - if (ib >= p.nel / 32) { - return; - } - - const uint b_idx = 1024*i + 32*ir + 8*il; - - const float d = float(data_a[ib].d); - const float dm = -8.0f * d; - - const uint q_idx = 8*il; - - [[unroll]] for (uint l = 0; l < 8; ++l) { - data_b[b_idx + l + 0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + dm); - data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >> 4) + dm); - } -} -""" - -dequant_q4_1_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {block_q4_1 data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - - const uint tid = gl_LocalInvocationID.x % 64; - const uint il = tid/32; - const uint ir = tid%32; - const uint ib = 32*i + ir; - if (ib >= p.nel / 32) { - return; - } - - const uint b_idx = 1024*i + 32*ir + 8*il; - - const float d = float(data_a[ib].d); - const float m = float(data_a[ib].m); - - const uint q_idx = 8*il; - - [[unroll]] for (uint l = 0; l < 8; ++l) { - data_b[b_idx + l + 0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + m); - data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >> 4) + m); - } -} -""" - -dequant_q5_0_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {block_q5_0 data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - - const uint tid = gl_LocalInvocationID.x % 64; - const uint il = tid/32; - const uint ir = tid%32; - const uint ib = 32*i + ir; - if (ib >= p.nel / 32) { - return; - } - - const uint b_idx = 1024*i + 32*ir + 8*il; - - const float d = float(data_a[ib].d); - const uint qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; - - const uint q_idx = 8*il; - - [[unroll]] for (uint l = 0; l < 8; ++l) { - const uint iqs = q_idx + l; - const uint vui = uint(data_a[ib].qs[iqs]); - data_b[b_idx + l + 0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10)) - 16.0f)); - data_b[b_idx + l + 16] = D_TYPE(d * (((vui >> 4) | ((qh >> (iqs + 12)) & 0x10)) - 16.0f)); - } -} -""" - -dequant_q5_1_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {block_q5_1 data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - - const uint tid = gl_LocalInvocationID.x % 64; - const uint il = tid/32; - const uint ir = tid%32; - const uint ib = 32*i + ir; - if (ib >= p.nel / 32) { - return; - } - - const uint b_idx = 1024*i + 32*ir + 8*il; - - const float d = float(data_a[ib].d); - const float m = float(data_a[ib].m); - const uint qh = data_a[ib].qh; - - const uint q_idx = 8*il; - - [[unroll]] for (uint l = 0; l < 8; ++l) { - const uint iqs = q_idx + l; - const uint vui = uint(data_a[ib].qs[iqs]); - data_b[b_idx + l + 0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10))) + m); - data_b[b_idx + l + 16] = D_TYPE(d * (((vui >> 4) | ((qh >> (iqs + 12)) & 0x10))) + m); - } -} -""" - -dequant_q8_0_body = """ -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {block_q8_0 data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; - - const uint tid = gl_LocalInvocationID.x % 64; - const uint il = tid/32; - const uint ir = tid%32; - const uint ib = 32*i + ir; - if (ib >= p.nel / 32) { - return; - } - - const uint b_idx = 1024*i + 32*ir + 16*il; - - const float d = float(data_a[ib].d); - - const uint q_idx = 16*il; - - [[unroll]] for (uint l = 0; l < 16; l += 2) { - data_b[b_idx + l ] = D_TYPE(d * data_a[ib].qs[q_idx + l ]); - data_b[b_idx + l + 1] = D_TYPE(d * data_a[ib].qs[q_idx + l + 1]); - } -} -""" - -# K-quants -dequant_q2_K_body = """ -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { - const uint i = gl_WorkGroupID.x * 256 + wgy; - if (i >= p.M * p.K / QUANT_K) { - return; - } - - const uint tid = gl_LocalInvocationID.x; - const uint ip = tid / 32; - const uint il = tid - 32 * ip; - const uint is = 8 * ip + il / 16; - - const uint y_idx = i * QUANT_K + 128 * ip + il; - - const uint ql_idx = 32 * ip + il; - const uint8_t qs = data_a[i].qs[32 * ip + il]; - - FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); - FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); - data_b[y_idx + 0] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+0] >> 4)); - data_b[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+2] >> 4)); - data_b[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+4] >> 4)); - data_b[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+6] >> 4)); - } -} -""" -dequant_q3_K_body = """ -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { - const uint i = uint(gl_WorkGroupID.x * 256 + wgy); - if (i >= p.M * p.K / QUANT_K) { - return; - } - - const uint r = gl_LocalInvocationID.x / 4; - const uint tid = r / 2; - const uint is0 = r % 2; - const uint l0 = 16 * is0 + 4 * (gl_LocalInvocationID.x % 4); - const uint n = tid / 4; - const uint j = tid - 4*n; - - const uint8_t m = uint8_t(1 << (4*n + j)); - const uint is = 8*n + 2*j + is0; - const uint shift = 2*j; - - const int8_t us = int8_t(is < 4 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is+0] >> 4) & 3) << 4) : - (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is-4] >> 6) & 3) << 4)); - const FLOAT_TYPE d_all = FLOAT_TYPE(data_a[i].d); - const FLOAT_TYPE dl = d_all * FLOAT_TYPE(us - 32); - - const uint y_idx = i * QUANT_K + 128 * n + 32 * j; - const uint qs_idx = 32*n; - - for (uint l = l0; l < l0 + 4; ++l) { - data_b[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((data_a[i].qs[qs_idx + l] >> shift) & 3) - (((data_a[i].hmask[l] & m) != 0) ? 0 : 4))); - } - } -} -""" -dequant_q4_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { - const uint i = gl_WorkGroupID.x * 256 + wgy; - if (i >= p.M * p.K / QUANT_K) { - return; - } - - const uint tid = gl_LocalInvocationID.x; - const uint il = tid / 8; - const uint ir = tid % 8; - const uint is = 2 * il; - const uint n = 4; - - const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); - - const uint y_idx = i * QUANT_K + 64 * il + n * ir; - const uint qs_idx = 32*il + n * ir; - - uint8_t sc; - uint8_t m; - if (is < 4) { - sc = uint8_t(data_a[i].scales[is] & 63); - m = uint8_t(data_a[i].scales[is + 4] & 63); - } else { - sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); - m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); - } - const FLOAT_TYPE d1 = dall * sc; - const FLOAT_TYPE m1 = dmin * m; - - if (is < 4) { - sc = uint8_t(data_a[i].scales[is + 1] & 63); - m = uint8_t(data_a[i].scales[is + 5] & 63); - } else { - sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); - m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); - } - const FLOAT_TYPE d2 = dall * sc; - const FLOAT_TYPE m2 = dmin * m; - - [[unroll]] for (uint l = 0; l < n; ++l) { - data_b[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] & 0xF) - m1); - data_b[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] >> 4) - m2); - } - } -} -""" -dequant_q5_K_body = """ -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { - const uint i = gl_WorkGroupID.x * 256 + wgy; - if (i >= p.M * p.K / QUANT_K) { - return; - } - - const uint tid = gl_LocalInvocationID.x; - const uint il = tid / 16; - const uint ir = tid % 16; - const uint is = 2 * il; - - const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); - - const uint y_idx = i * QUANT_K + 64 * il + 2 * ir; - const uint qs_idx = 32*il + 2 * ir; - const uint qh_idx = 2 * ir; - - uint8_t sc; - uint8_t m; - if (is < 4) { - sc = uint8_t(data_a[i].scales[is] & 63); - m = uint8_t(data_a[i].scales[is + 4] & 63); - } else { - sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); - m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); - } - const FLOAT_TYPE d1 = dall * sc; - const FLOAT_TYPE m1 = dmin * m; - - if (is < 4) { - sc = uint8_t(data_a[i].scales[is + 1] & 63); - m = uint8_t(data_a[i].scales[is + 5] & 63); - } else { - sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); - m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); - } - const FLOAT_TYPE d2 = dall * sc; - const FLOAT_TYPE m2 = dmin * m; - - const uint8_t hm1 = uint8_t(1 << (2 * il )); - const uint8_t hm2 = uint8_t(1 << (2 * il + 1)); - data_b[y_idx ] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx ] & 0xF) + (((data_a[i].qh[qh_idx ] & hm1) != 0) ? 16 : 0)) - m1); - data_b[y_idx + 1] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] & 0xF) + (((data_a[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1); - data_b[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx ] >> 4) + (((data_a[i].qh[qh_idx ] & hm2) != 0) ? 16 : 0)) - m2); - data_b[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] >> 4) + (((data_a[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2); - } -} -""" -dequant_q6_K_body = """ -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; - -void main() { - [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { - const uint i = gl_WorkGroupID.x * 256 + wgy; - if (i >= p.M * p.K / QUANT_K) { - return; - } - const uint tid = gl_LocalInvocationID.x; - const uint ip = tid / 32; - const uint il = tid - 32 * ip; - const uint is = 8 * ip + il / 16; - - const uint y_idx = i * QUANT_K + 128 * ip + il; - - const uint ql_idx = 64 * ip + il; - const uint8_t qh = data_a[i].qh[32 * ip + il]; - - const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d); - - data_b[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); - data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); - data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); - data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); - } -} -""" - -# Mul Mat Vec -mul_mat_vec_head = """#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_8bit_storage : require - -#ifdef MUL_MAT_ID -#define EXPERT_COUNT 8 -#endif -""" - - -mul_mat_vec_layout = """ -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; -layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; -#ifdef MUL_MAT_ID -layout (binding = 3) readonly buffer IDS {int data_ids[];}; -#endif - -layout (push_constant) uniform parameter -{ - uint ncols; - uint stride_a; - uint stride_b; - uint stride_d; - - uint batch_stride_a; - uint batch_stride_b; - uint batch_stride_d; - -#ifdef MUL_MAT_ID - uint nei0; - uint ne11; -#else - uint ne02; - uint ne12; - uint broadcast2; - uint broadcast3; -#endif -} p; - -void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) { -#ifdef MUL_MAT_ID - const uint expert_idx = gl_GlobalInvocationID.y; -#else - const uint batch_idx = gl_GlobalInvocationID.y; -#endif - -#ifndef MUL_MAT_ID - const uint i13 = batch_idx / p.ne12; - const uint i12 = batch_idx % p.ne12; - - const uint i03 = i13 / p.broadcast3; - const uint i02 = i12 / p.broadcast2; - - const uint batch_idx_a = i03 * p.ne02 + i02; -#else - const uint expert_id = data_ids[expert_idx]; -#endif - - a_offset = -#ifdef MUL_MAT_ID - expert_id * p.batch_stride_a; -#else - batch_idx_a * p.batch_stride_a; -#endif - b_offset = -#ifdef MUL_MAT_ID - (expert_idx % p.ne11) * p.stride_b; -#else - batch_idx * p.batch_stride_b; -#endif - d_offset = -#ifdef MUL_MAT_ID - expert_idx * p.stride_d; -#else - batch_idx * p.batch_stride_d; -#endif -} -""" - -mul_mat_vec_body = """ -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (constant_id = 0) const uint BLOCK_SIZE = 32; - -shared FLOAT_TYPE tmp[BLOCK_SIZE]; - -void main() { - const uint row = gl_WorkGroupID.x; - const uint tid = gl_LocalInvocationID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; - - tmp[tid] = FLOAT_TYPE(0.0f); - - [[unroll]] for (uint i = 0; i < p.ncols/BLOCK_SIZE; i += 2) { - const uint col = i*BLOCK_SIZE + 2*tid; - const uint ib = (row*p.ncols + col)/QUANT_K; // block index - const uint iqs = (col%QUANT_K)/QUANT_R; // quant index - const uint iybs = col - col%QUANT_K; // y block start index - - vec2 v = dequantize(ib, iqs, a_offset / QUANT_K); - - // matrix multiplication - tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[b_offset + iybs + iqs]) + - FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[b_offset + iybs + iqs + y_offset]); - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = BLOCK_SIZE/2; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" - -# K-quants -mul_mat_vec_q2_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const uint row = gl_WorkGroupID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint num_blocks_per_row = p.ncols / QUANT_K; - const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; - - const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const uint v_in = tid - step*v_im; // 0...15 or 0...7 - - const uint l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 - const uint q_offset = 32*v_im + l0; - const uint s_offset = 8*v_im; - const uint y_offset = 128*v_im + l0; - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - const uint y_idx = i * QUANT_K + y_offset; - - const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); - - FLOAT_TYPE sum1 = FLOAT_TYPE(0.0); - FLOAT_TYPE sum2 = FLOAT_TYPE(0.0); - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum1 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) - + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3); - sum2 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) - + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); - } - tmp[16 * ix + tid] += dall * sum1 - dmin * sum2; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" -mul_mat_vec_q3_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const uint row = gl_WorkGroupID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint num_blocks_per_row = p.ncols / QUANT_K; - const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; - - const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const uint v_in = tid - step*v_im; // 0...15 or 0...7 - - const uint8_t m = uint8_t(1 << (4 * v_im)); - - const uint l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 - const uint q_offset = 32*v_im + l0; - const uint y_offset = 128*v_im + l0; - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - const uint s_shift = 4 * v_im; - - [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - const uint y_idx = i * QUANT_K + y_offset; - - const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); - - FLOAT_TYPE sum = FLOAT_TYPE(0.0); - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); - } - tmp[16 * ix + tid] += d * sum; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" -mul_mat_vec_q4_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const uint row = gl_WorkGroupID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint num_blocks_per_row = p.ncols / QUANT_K; - const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; - - const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const uint step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 - - const uint il = tid/step; // 0...3 - const uint ir = tid - step*il; // 0...7 or 0...3 - const uint n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 - - const uint v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const uint v_in = il % 2; - - const uint l0 = n * (2 * ir + v_in); // 0...15 - const uint q_offset = 32*v_im + l0; - const uint y_offset = 64*v_im + l0; - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - const uint y1_idx = i * QUANT_K + y_offset; - const uint y2_idx = y1_idx + 128; - - const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); - - const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); - const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); - const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); - const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); - const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); - const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); - const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); - const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); - -#if K_QUANTS_PER_ITERATION == 2 - const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] & 0xf); - const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] & 0xf); - const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] >> 4); - const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] >> 4); - const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] & 0xf); - const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] & 0xf); - const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); - const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] >> 4); - const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] >> 4); - - const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1 + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * q4_3); - const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_5 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * q4_7); - const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx]) * q4_8 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_9 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * q4_10 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * q4_11); - const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_12 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_13 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * q4_14 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * q4_15); - const FLOAT_TYPE smin = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y1_idx ]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx ]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7 - + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7 - + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * sc7 - + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * sc7 - ); - tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); -#else - const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); - - const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx ]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1); - const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_3); - const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx ]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_5); - const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_7); - const FLOAT_TYPE smin = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y1_idx]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7 - + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7 - ); - - tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); -#endif - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" -mul_mat_vec_q5_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const uint row = gl_WorkGroupID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint num_blocks_per_row = p.ncols / QUANT_K; - const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; - - const uint tid = gl_LocalInvocationID.x/2; // 0...31 or 0...16 - const uint ix = gl_LocalInvocationID.x%2; // 0 or 0, 1 - - const uint il = tid/4; // 0...3 - const uint ir = tid - 4*il; // 0...7 or 0...3 - - const uint v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const uint v_in = il % 2; - - const uint l0 = 4*ir + 2*v_in; // 0...15 - const uint q_offset = 32*v_im + l0; - const uint y_offset = 64*v_im + l0; - - const uint8_t hm1 = uint8_t(1 << (2*v_im)); - const uint8_t hm2 = uint8_t(hm1 << 4); - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += 2) { - const uint y1_idx = i * QUANT_K + y_offset; - const uint y2_idx = y1_idx + 128; - - const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); - - const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); - const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); - const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); - const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); - const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); - const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); - const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); - const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); - - const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] & 0xf); - const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] & 0xf); - const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] >> 4); - const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] >> 4); - const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] & 0xf); - const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] & 0xf); - const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); - const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] >> 4); - const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] >> 4); - - const FLOAT_TYPE sx = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y1_idx ]) * (q4_0 + (((data_a[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * (q4_1 + (((data_a[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 17]) * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) - ); - const FLOAT_TYPE sy = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * (q4_4 + (((data_a[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * (q4_5 + (((data_a[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y1_idx + 49]) * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) - ); - const FLOAT_TYPE sz = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y2_idx ]) * (q4_8 + (((data_a[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * (q4_9 + (((data_a[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 17]) * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) - ); - const FLOAT_TYPE sw = FLOAT_TYPE( - FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * (q4_12 + (((data_a[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * (q4_13 + (((data_a[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) - + FLOAT_TYPE(data_b[b_offset + y2_idx + 49]) * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) - ); - const FLOAT_TYPE smin = FLOAT_TYPE( - (FLOAT_TYPE(data_b[b_offset + y1_idx]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 17])) * sc2 + (FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 49])) * sc3 - + (FLOAT_TYPE(data_b[b_offset + y2_idx]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 17])) * sc6 + (FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 49])) * sc7 - ); - tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" -mul_mat_vec_q6_K_body = """ -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const uint row = gl_WorkGroupID.x; - - uint a_offset, b_offset, d_offset; - get_offsets(a_offset, b_offset, d_offset); - - const uint num_blocks_per_row = p.ncols / QUANT_K; - const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; - - const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const uint v_in = tid - step*v_im; // 0...15 or 0...7 - -#if K_QUANTS_PER_ITERATION == 1 - const uint l0 = v_in; // 0...15 - const uint is = 0; -#else - const uint l0 = 4 * v_in; // 0, 4, 8, ..., 28 - const uint is = v_in / 4; -#endif - - const uint ql_offset = 64*v_im + l0; - const uint qh_offset = 32*v_im + l0; - const uint s_offset = 8*v_im + is; - const uint y_offset = 128*v_im + l0; - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - const uint y_idx = i * QUANT_K + y_offset; - - const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); - -#if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(data_b[b_offset + y_idx + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); - tmp[16 * ix + tid] += sum; -#else - FLOAT_TYPE sum = FLOAT_TYPE(0.0); - [[unroll]] for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(data_b[b_offset + y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[b_offset + y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); - } - tmp[16 * ix + tid] += sum; -#endif - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (uint s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - data_d[d_offset + row] = D_TYPE(tmp[0]); - } -} -""" - -mul_mat_p021_src = """#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require - -#define BLOCK_SIZE 32 -#define FLOAT_TYPE float - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; -layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; - -layout (push_constant) uniform parameter -{ - uint ncols_x; - uint nrows_x; - uint nchannels_x; - uint nchannels_y; - uint b_offset; - uint d_offset; -} p; - -shared FLOAT_TYPE tmp[BLOCK_SIZE]; - -void main() { - const uint tid = gl_LocalInvocationID.x; - const uint row_x = gl_GlobalInvocationID.y; - const uint channel = gl_GlobalInvocationID.z; - const uint channel_x = channel / (p.nchannels_y / p.nchannels_x); - - const uint nrows_y = p.ncols_x; - const uint nrows_dst = p.nrows_x; - const uint row_dst = row_x; - - tmp[tid] = FLOAT_TYPE(0.0f); - - for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { - const uint col_x = col_x0 + tid; - - if (col_x >= p.ncols_x) { - break; - } - - // x is transposed and permuted - const uint ix = row_x*p.nchannels_x*p.ncols_x + channel_x*p.ncols_x + col_x; - const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); - - const uint row_y = col_x; - - // y is not transposed but permuted - const uint iy = channel*nrows_y + row_y; - - tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); - } - - // dst is not transposed and not permuted - const uint idst = channel*nrows_dst + row_dst; - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - - if (tid == 0) { - dst[idst] = tmp[0]; - } -} -""" - - -mul_mat_nc_src = """#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require - -#define BLOCK_SIZE 32 -#define FLOAT_TYPE float - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; -layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; - -layout (push_constant) uniform parameter -{ - uint ncols_x; - uint nrows_x; - uint row_stride_x; - uint channel_stride_x; - uint channel_x_divisor; - uint b_offset; - uint d_offset; -} p; - -shared FLOAT_TYPE tmp[BLOCK_SIZE]; - -void main() { - const uint tid = gl_LocalInvocationID.x; - const uint row_x = gl_GlobalInvocationID.y; - const uint channel = gl_GlobalInvocationID.z; - const uint channel_x = channel / p.channel_x_divisor; - - const uint nrows_y = p.ncols_x; - const uint nrows_dst = p.nrows_x; - const uint row_dst = row_x; - - const uint idst = channel*nrows_dst + row_dst; - - tmp[tid] = 0.0f; - - for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { - const uint col_x = col_x0 + tid; - - if (col_x >= p.ncols_x) { - break; - } - - const uint row_y = col_x; - - const uint ix = channel_x*p.channel_stride_x + row_x*p.row_stride_x + col_x; - const uint iy = channel*nrows_y + row_y; - - const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); - - tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - - if (tid == 0) { - dst[idst] = tmp[0]; - } -} -""" - -generic_head = """ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint KX; - uint KY; - float param1; - float param2; -} p; -""" - -generic_unary_op_head = """#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint ne; - uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03; - uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13; - uint d_offset; - float param1; float param2; -} p;""" - -generic_unary_op_layout = """ -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};""" - -generic_unary_op_funcs = """ -uint src0_idx(uint idx) { - const uint i03 = idx / (p.ne02*p.ne01*p.ne00); - const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; - const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); - const uint i02_offset = i02*p.ne01*p.ne00; - const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; - const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; - return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00; -} - -uint dst_idx(uint idx) { - const uint i13 = idx / (p.ne12*p.ne11*p.ne10); - const uint i13_offset = i13 * p.ne12*p.ne11*p.ne10; - const uint i12 = (idx - i13_offset) / (p.ne11*p.ne10); - const uint i12_offset = i12*p.ne11*p.ne10; - const uint i11 = (idx - i13_offset - i12_offset) / p.ne10; - const uint i10 = idx - i13_offset - i12_offset - i11*p.ne10; - return i13*p.nb13 + i12*p.nb12 + i11*p.nb11 + i10*p.nb10; -}""" - -generic_unary_op_main = """ -void main() { - if (gl_GlobalInvocationID.x >= p.ne) { - return; - } -""" - -generic_unary_op_combined = f"{generic_unary_op_head}\n{generic_unary_op_layout}\n{generic_unary_op_funcs}\n{generic_unary_op_main}" - -generic_binary_op_head = """#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint ne; - uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03; - uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13; - uint ne20; uint ne21; uint ne22; uint ne23; uint nb20; uint nb21; uint nb22; uint nb23; - uint d_offset; - float param1; float param2; -} p;""" - -generic_binary_op_layout = """ -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; -layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};""" - -generic_binary_op_funcs = """ -uint src0_idx(uint idx) { - const uint i03 = idx / (p.ne02*p.ne01*p.ne00); - const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; - const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); - const uint i02_offset = i02*p.ne01*p.ne00; - const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; - const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; - return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00; -} - -uint src1_idx(uint idx) { - const uint i03 = idx / (p.ne02*p.ne01*p.ne00); - const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; - const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); - const uint i02_offset = i02*p.ne01*p.ne00; - const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; - const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; - - return (i03 % p.ne13)*p.nb13 + (i02 % p.ne12)*p.nb12 + (i01 % p.ne11)*p.nb11 + (i00 % p.ne10)*p.nb10; -} - -uint dst_idx(uint idx) { - const uint i23 = idx / (p.ne22*p.ne21*p.ne20); - const uint i23_offset = i23 * p.ne22*p.ne21*p.ne20; - const uint i22 = (idx - i23_offset) / (p.ne21*p.ne20); - const uint i22_offset = i22*p.ne21*p.ne20; - const uint i21 = (idx - i23_offset - i22_offset) / p.ne20; - const uint i20 = idx - i23_offset - i22_offset - i21*p.ne20; - return i23*p.nb23 + i22*p.nb22 + i21*p.nb21 + i20*p.nb20; -}""" - -generic_binary_op_main = """ -void main() { - if (gl_GlobalInvocationID.x >= p.ne) { - return; - } -""" - -generic_binary_op_combined = f"{generic_binary_op_head}\n{generic_binary_op_layout}\n{generic_binary_op_funcs}\n{generic_binary_op_main}" - -# MUL -mul_body = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); -} -""" - -# DIV -div_body = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); -} -""" - -# ADD -add_body = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); -} -""" - -# SCALE -scale_body = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(p.param1)); -} -""" - -# SQR -sqr_body = """ - const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val * val); -} -""" - -# CLAMP -clamp_body = """ - const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val < p.param1 ? p.param1 : (val > p.param2 ? p.param2 : val)); -} -""" - -# CPY -cpy_end = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); -} -""" -# Causes an optimization error otherwise -cpy_f16_f16_end = """ - data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = data_a[src0_idx(gl_GlobalInvocationID.x)]; -} -""" - -# GET_ROWS -get_rows_float_body = """ -void main() { - const uint i00 = gl_GlobalInvocationID.x; - const uint i10 = gl_GlobalInvocationID.y; - const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; - const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; - - if (i00 >= p.ne00) { - return; - } - - const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12]; - - const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03; - const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23; - -#ifndef OPTIMIZATION_ERROR_WORKAROUND - data_d[d_offset + i00] = D_TYPE(data_a[a_offset + i00]); -#else - data_d[d_offset + i00] = data_a[a_offset + i00]; -#endif -} -""" - -get_rows_body = """ -void main() { - const uint i00 = (gl_GlobalInvocationID.x)*2; - const uint i10 = gl_GlobalInvocationID.y; - const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; - const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; - - if (i00 >= p.ne00) { - return; - } - - const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12]; - - const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03; - const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23; - - const uint ib = a_offset + i00/QUANT_K; // block index - const uint iqs = (i00%QUANT_K)/QUANT_R; // quant index - const uint iybs = i00 - i00%QUANT_K; // dst block start index - const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; - - vec2 v = dequantize(ib, iqs, 0); - - data_d[d_offset + iybs + iqs ] = D_TYPE(v.x); - data_d[d_offset + iybs + iqs + y_offset] = D_TYPE(v.y); -} -""" - -# UNARY -gelu_body = """ -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -void main() { - const float GELU_COEF_A = 0.044715f; - const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; - const uint i = gl_GlobalInvocationID.x; - - if (i >= p.KX) { - return; - } - - const float xi = float(data_a[i]); - const float val = SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi); - data_d[i] = D_TYPE(0.5f*xi*(2.0f - 2.0f / (exp(2 * val) + 1))); -} -""" - -silu_body = """ -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -void main() { - const uint i = gl_GlobalInvocationID.x; - - if (i >= p.KX) { - return; - } - - const float xi = float(data_a[i]); - data_d[i] = D_TYPE(xi / (1.0f + exp(-xi))); -} -""" - -relu_body = """ -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -void main() { - const uint i = gl_GlobalInvocationID.x; - - if (i >= p.KX) { - return; - } - - data_d[i] = max(float(data_a[i]), 0); -} -""" - -# DIAG_MASK_INF -diag_mask_inf_head = """#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint ncols; - uint rows_per_channel; - uint n_past; -} p; -""" -diag_mask_inf_body = """ -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -void main() { - const uint col = gl_GlobalInvocationID.y; - const uint row = gl_GlobalInvocationID.x; - - if (col >= p.ncols) { - return; - } - - const uint i = row*p.ncols + col; - if (col > p.n_past + row % p.rows_per_channel) { - data_d[i] = D_TYPE(uintBitsToFloat(0xFF800000)); - } else { - data_d[i] = D_TYPE(data_a[i]); - } -} -""" - -# NORMS -norm_body = """ -#extension GL_EXT_control_flow_attributes : enable -#define BLOCK_SIZE 512 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -shared vec2 sum[BLOCK_SIZE]; - -void main() { - const uint row = gl_WorkGroupID.x; - const uint tid = gl_LocalInvocationID.x; - - sum[tid] = vec2(0.0f, 0.0f); - - [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - const float xi = float(data_a[row*p.KX + col]); - sum[tid].x += xi; - sum[tid].y += xi * xi; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - sum[tid] += sum[tid + s]; - } - barrier(); - } - - const float mean = sum[0].x / p.KX; - const float var = sum[0].y / p.KX - mean * mean; - const float inv_std = inversesqrt(var + p.param1); - - [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std); - } -} -""" - -rms_norm_body = """ -#extension GL_EXT_control_flow_attributes : enable -#define BLOCK_SIZE 512 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -shared FLOAT_TYPE sum[BLOCK_SIZE]; - -void main() { - const uint row = gl_WorkGroupID.x; - const uint tid = gl_LocalInvocationID.x; - - sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp - - [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]); - sum[tid] += xi * xi; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - sum[tid] += sum[tid + s]; - } - barrier(); - } - - const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX); - const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1)); - - [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col])); - } -} -""" - -# SOFT_MAX -soft_max_head = """ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout (push_constant) uniform parameter -{ - uint KX; - uint KY; - float scale; - float max_bias; - float m0; - float m1; - uint n_head_log2; -} p; -""" - -soft_max_body = """ -#extension GL_EXT_control_flow_attributes : enable -#define BLOCK_SIZE 512 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; -layout (binding = 2) buffer D {D_TYPE data_d[];}; - -shared FLOAT_TYPE vals[BLOCK_SIZE]; - -void main() { - const uint tid = gl_LocalInvocationID.x; - const uint rowx = gl_WorkGroupID.x; - const uint rowy = rowx % p.KY; - - float slope = 1.0f; - - // ALiBi - if (p.max_bias > 0.0f) { - const uint h = rowx/p.KY; // head index - - const float base = h < p.n_head_log2 ? p.m0 : p.m1; - const uint exp = h < p.n_head_log2 ? h + 1 : 2*(h - p.n_head_log2) + 1; - - slope = pow(base, exp); - } - - // Find max - FLOAT_TYPE max_val = uintBitsToFloat(0xFF800000); - - [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { - const uint col = col0 + tid; - - if (col >= p.KX) { - break; - } - - max_val = max(max_val, FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f))); - } - vals[tid] = max_val; - - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - vals[tid] = max(vals[tid], vals[tid + s]); - } - barrier(); - } - - max_val = vals[0]; - barrier(); - - // Sum up values - vals[tid] = FLOAT_TYPE(0.0f); - - [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { - const uint col = col0 + tid; - - if (col >= p.KX) { - break; - } - - const uint i = rowx * p.KX + col; - const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val); - vals[tid] += val; - data_d[i] = D_TYPE(val); - } - - barrier(); - [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { - if (tid < s) { - vals[tid] += vals[tid + s]; - } - barrier(); - } - - const D_TYPE divisor = D_TYPE(vals[0]); - - [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { - const uint col = col0 + tid; - - if (col >= p.KX) { - break; - } - - data_d[rowx*p.KX + col] /= divisor; - } -} -""" - -# ROPE -rope_norm_src = """ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer Y {int data_pos[];}; -layout (binding = 2) readonly buffer Z {float data_ff[];}; -layout (binding = 3) writeonly buffer D {D_TYPE data_d[];}; - -layout (push_constant) uniform parameter { - uint ncols; - uint n_dims; - float freq_scale; - uint p_delta_rows; - float freq_base; - float ext_factor; - float attn_factor; - float corr_dims[2]; - float theta_scale; - uint has_ff; -} p; - -float rope_yarn_ramp(const float low, const float high, const uint i0) { - const float y = (i0 / 2 - low) / max(0.001f, high - low); - return 1.0f - min(1.0f, max(0.0f, y)); -} - -void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) { - float mscale = p.attn_factor; - // Get n-d rotational scaling corrected for extrapolation - float theta_interp = p.freq_scale * theta_extrap; - float theta = theta_interp; - if (p.ext_factor != 0.0f) { - float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor; - theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; - - // Get n-d magnitude scaling corrected for interpolation - mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale); - } - cos_theta = cos(theta) * mscale; - sin_theta = sin(theta) * mscale; -} - -void main() { - const uint col = gl_GlobalInvocationID.y * 2; - const uint row = gl_GlobalInvocationID.x; - - if (col >= p.ncols) { - return; - } - - if (col >= p.n_dims) { - const uint i = row*p.ncols + col; - - data_d[i + 0] = data_a[i + 0]; - data_d[i + 1] = data_a[i + 1]; - - return; - } - - const uint i = row*p.ncols + col; - const uint i2 = row/p.p_delta_rows; - - const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f); - - const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f; - - float cos_theta, sin_theta; - rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta); - - const float x0 = float(data_a[i + 0]); - const float x1 = float(data_a[i + 1]); - - data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); - data_d[i + 1] = D_TYPE(x0*sin_theta + x1*cos_theta); -} -""" - -rope_neox_src = """ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in; - -layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) readonly buffer Y {int data_pos[];}; -layout (binding = 2) readonly buffer Z {float data_ff[];}; -layout (binding = 3) writeonly buffer D {D_TYPE data_d[];}; - -layout (push_constant) uniform parameter { - uint ncols; - uint n_dims; - float freq_scale; - uint p_delta_rows; - float freq_base; - float ext_factor; - float attn_factor; - float corr_dims[2]; - float theta_scale; - uint has_ff; -} p; - -float rope_yarn_ramp(const float low, const float high, const uint i0) { - const float y = (i0 / 2 - low) / max(0.001f, high - low); - return 1.0f - min(1.0f, max(0.0f, y)); -} - -void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) { - float mscale = p.attn_factor; - // Get n-d rotational scaling corrected for extrapolation - float theta_interp = p.freq_scale * theta_extrap; - float theta = theta_interp; - if (p.ext_factor != 0.0f) { - float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor; - theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; - - // Get n-d magnitude scaling corrected for interpolation - mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale); - } - cos_theta = cos(theta) * mscale; - sin_theta = sin(theta) * mscale; -} - -void main() { - const uint col = gl_GlobalInvocationID.y * 2; - const uint row = gl_GlobalInvocationID.x; - - if (col >= p.ncols) { - return; - } - - if (col >= p.n_dims) { - const uint i = row*p.ncols + col; - - data_d[i + 0] = data_a[i + 0]; - data_d[i + 1] = data_a[i + 1]; - - return; - } - - const uint i = row*p.ncols + col/2; - const uint i2 = row/p.p_delta_rows; - - const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f); - - const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f; - - float cos_theta, sin_theta; - rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta); - - const float x0 = float(data_a[i + 0]); - const float x1 = float(data_a[i + p.n_dims/2]); - - data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); - data_d[i + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta); -} -""" - -argsort_src = """ -#version 450 - -#define BLOCK_SIZE 1024 -#define ASC 0 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) buffer D {int data_d[];}; - -layout (push_constant) uniform parameter { - uint ncols; - uint ncols_pad; - uint order; -} p; - -shared int dst_row[BLOCK_SIZE]; - -void swap(uint idx0, uint idx1) { - int tmp = dst_row[idx0]; - dst_row[idx0] = dst_row[idx1]; - dst_row[idx1] = tmp; -} - -void main() { - // bitonic sort - const int col = int(gl_LocalInvocationID.x); - const uint row = gl_WorkGroupID.y; - - if (col >= p.ncols_pad) { - return; - } - - const uint row_offset = row * p.ncols; - - // initialize indices - dst_row[col] = col; - barrier(); - - for (uint k = 2; k <= p.ncols_pad; k *= 2) { - for (uint j = k / 2; j > 0; j /= 2) { - const uint ixj = col ^ j; - if (ixj > col) { - if ((col & k) == 0) { - if (dst_row[col] >= p.ncols || - (dst_row[ixj] < p.ncols && (p.order == ASC ? - data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] : - data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]])) - ) { - swap(col, ixj); - } - } else { - if (dst_row[ixj] >= p.ncols || - (dst_row[col] < p.ncols && (p.order == ASC ? - data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] : - data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]])) - ) { - swap(col, ixj); - } - } - } - barrier(); - } - } - - if (col < p.ncols) { - data_d[row_offset + col] = dst_row[col]; - } -} -""" - -sum_rows_src = """ -#extension GL_EXT_control_flow_attributes : enable -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - -layout (constant_id = 0) const uint BLOCK_SIZE = 32; - -shared FLOAT_TYPE tmp[BLOCK_SIZE]; - -void main() { - const uint row = gl_WorkGroupID.x; - const uint col = gl_LocalInvocationID.x; - - tmp[col] = FLOAT_TYPE(0.0f); - - for (uint i = col; i < p.KX; i += BLOCK_SIZE) { - tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]); - } - - barrier(); - [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) { - if (col < s) { - tmp[col] += tmp[col + s]; - } - barrier(); - } - - if (col == 0) { - data_d[row] = D_TYPE(tmp[0]); - } -} -""" - GLSLC = "glslc" -VK_NUM_TYPES = 16 - -GGML_TYPE_F32 = 0 -GGML_TYPE_F16 = 1 -GGML_TYPE_Q4_0 = 2 -GGML_TYPE_Q4_1 = 3 -GGML_TYPE_Q5_0 = 6 -GGML_TYPE_Q5_1 = 7 -GGML_TYPE_Q8_0 = 8 -GGML_TYPE_Q8_1 = 9 -GGML_TYPE_Q2_K = 10 -GGML_TYPE_Q3_K = 11 -GGML_TYPE_Q4_K = 12 -GGML_TYPE_Q5_K = 13 -GGML_TYPE_Q6_K = 14 -GGML_TYPE_Q8_K = 15 - - -type_names = { - GGML_TYPE_F32: "f32", - GGML_TYPE_F16: "f16", - GGML_TYPE_Q4_0: "q4_0", - GGML_TYPE_Q4_1: "q4_1", - GGML_TYPE_Q5_0: "q5_0", - GGML_TYPE_Q5_1: "q5_1", - GGML_TYPE_Q8_0: "q8_0", - GGML_TYPE_Q8_1: "q8_1", - GGML_TYPE_Q2_K: "q2_K", - GGML_TYPE_Q3_K: "q3_K", - GGML_TYPE_Q4_K: "q4_K", - GGML_TYPE_Q5_K: "q5_K", - GGML_TYPE_Q6_K: "q6_K", - GGML_TYPE_Q8_K: "q8_K", -} - -K_QUANTS_PER_ITERATION = 2 +type_names = [ + "f32", + "f16", + "q4_0", + "q4_1", + "q5_0", + "q5_1", + "q8_0", + "q2_k", + "q3_k", + "q4_k", + "q5_k", + "q6_k", +] ASYNCIO_CONCURRENCY = 64 +input_dir = "vulkan-shaders" output_dir = gettempdir() lock = asyncio.Lock() shader_fnames = [] -async def string_to_spv(name, code, defines, fp16=True): - f = NamedTemporaryFile(mode="w", delete=False) - f.write(code) - f.flush() - +async def string_to_spv(name, in_fname, defines, fp16=True): name = f"{name}{'_fp32' if not fp16 else ''}" - fname = os.path.join(output_dir, f"{name}.comp") + out_fname = os.path.join(output_dir, f"{name}.spv") - cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", fname] + in_path = os.path.join(input_dir, in_fname) + + cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", in_path, "-o", out_fname] cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) @@ -2736,33 +52,46 @@ async def string_to_spv(name, code, defines, fp16=True): error = stderr.decode() if proc.returncode: - # Generate preprocessed code - cmd = [GLSLC, "-E", f.name] - cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) - - proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) - - stdout, stderr = await proc.communicate() - - logger.info(" ".join(cmd)) - - if proc.returncode: - raise RuntimeError(f"{name=} {f.name=} {stdout=} {stderr=}") - - preprocessed_code = stdout.decode() - - cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) - code_with_lines = "\n".join([f"{i + 1}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) - logger.error(f"cannot compile {name}\n\n{code_with_lines}\n\n{error}") - f.close() - os.remove(f.name) - sys.exit(proc.returncode) - - f.close() - os.remove(f.name) + cmd = " ".join(cmd) + logger.error(f"cannot compile {name}\n\n{cmd}\n\n{error}") + return async with lock: - shader_fnames.append((name, fname)) + shader_fnames.append((name, out_fname)) + + +def matmul_shaders(tasks, fp16, matmul_id): + if fp16: + load_vec = "8" + aligned_b_type_f32 = "mat2x4" + aligned_b_type_f16 = "f16mat2x4" + else: + load_vec = "4" + aligned_b_type_f32 = "vec4" + aligned_b_type_f16 = "f16vec4" + + base_dict = {"FLOAT_TYPE": "float" if not fp16 else "float16_t"} + shader_name = "matmul" + + if matmul_id: + base_dict["MUL_MAT_ID"] = "1" + shader_name = "matmul_id" + + if fp16: + base_dict["FLOAT16"] = "1" + + # Shaders with f16 B_TYPE + tasks.append(string_to_spv(f"{shader_name}_f32_f16", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv(f"{shader_name}_f32_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16)) + + tasks.append(string_to_spv(f"{shader_name}_f16", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv(f"{shader_name}_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16)) + + for tname in type_names: + data_a_key = f"DATA_A_{tname.upper()}" + load_vec_a = load_vec if tname in ("f32", "f16") else "2" + tasks.append(string_to_spv(f"{shader_name}_{tname}_f32", "mul_mm.comp", base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv(f"{shader_name}_{tname}_f32_aligned", "mul_mm.comp", base_dict | {data_a_key: "2", "LOAD_VEC_A": load_vec_a, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f32, "D_TYPE": "float"}, fp16)) async def main(): @@ -2770,292 +99,81 @@ async def main(): tasks = [] - stream = [] - for fp16 in (False, True): - # mulmat - if fp16: - shader_float_type = shader_f16 - load_vec = "8" - vec_type_f16 = "f16mat2x4" - vec_type = "mat2x4" - else: - shader_float_type = shader_f32 - load_vec = "4" - vec_type_f16 = "f16vec4" - vec_type = "vec4" - - stream.clear() - stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2)) - tasks.append(string_to_spv("matmul_f32", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - tasks.append(string_to_spv("matmul_f32_f16", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_f32_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - - tasks.append(string_to_spv("matmul_f16", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - - tasks.append(string_to_spv("matmul_f16_f32", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_f16_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_q4_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q4_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2)) - tasks.append(string_to_spv("matmul_q4_1_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q4_1_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_q5_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q5_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2)) - tasks.append(string_to_spv("matmul_q5_1_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q5_1_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_q8_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q8_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_q2_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q2_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_q3_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q3_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_q4_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q4_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_q5_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q5_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_q6_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_q6_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - + # MUL_MAT + matmul_shaders(tasks, fp16, False) # MUL_MAT_ID - stream.clear() - stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + matmul_shaders(tasks, fp16, True) - tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + for tname in type_names: + base_dict = {"FLOAT_TYPE": "float"} - tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + # mul mat vec + data_a_key = f"DATA_A_{tname.upper()}" + shader = f"mul_mat_vec_{tname}.comp" if tname.endswith("_k") else "mul_mat_vec.comp" - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f32_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f16_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float16_t", "D_TYPE": "float"})) - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_id_{tname}_f32", shader, base_dict | {"MUL_MAT_ID": "1", data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"})) - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + # Dequant shaders + if tname != "f16": + tasks.append(string_to_spv(f"dequant_{tname}", f"dequant_{tname}.comp", base_dict | {data_a_key: "1", "D_TYPE": "float16_t"})) - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + # get_rows + if not tname.endswith("_k"): + shader = "get_rows.comp" if tname in ("f32", "f16") else "get_rows_quant.comp" - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + if tname == "f16": + tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"})) + else: + tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t"})) + tasks.append(string_to_spv(f"get_rows_{tname}_f32", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float"})) - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - stream.clear() - stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2)) - tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - # Shaders where precision is needed, so no fp16 version - - # mul mat vec - for i in range(0, VK_NUM_TYPES): - stream.clear() - stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32)) - - if i == GGML_TYPE_F32: - stream.extend((shader_f32_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_F16: - stream.extend((shader_f16_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, mul_mat_vec_layout, shader_q4_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, mul_mat_vec_layout, shader_q4_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, mul_mat_vec_layout, shader_q5_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, mul_mat_vec_layout, shader_q5_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, mul_mat_vec_layout, shader_q8_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q2_K: - stream.extend((shader_q2_K_defines, mul_mat_vec_layout, mul_mat_vec_q2_K_body)) - elif i == GGML_TYPE_Q3_K: - stream.extend((shader_q3_K_defines, mul_mat_vec_layout, mul_mat_vec_q3_K_body)) - elif i == GGML_TYPE_Q4_K: - stream.extend((shader_q4_K_defines, mul_mat_vec_layout, mul_mat_vec_q4_K_body)) - elif i == GGML_TYPE_Q5_K: - stream.extend((shader_q5_K_defines, mul_mat_vec_layout, mul_mat_vec_q5_K_body)) - elif i == GGML_TYPE_Q6_K: - stream.extend((shader_q6_K_defines, mul_mat_vec_layout, mul_mat_vec_q6_K_body)) - else: - continue - - tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION})) - tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f16_f32", "".join(stream), {"B_TYPE": "float16_t", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION})) - - tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION})) - - # Dequant shaders - for i in range(0, VK_NUM_TYPES): - stream.clear() - - stream.extend((dequant_head, shader_int8_ext, shader_f32)) - - if i == GGML_TYPE_F32: - stream.append(dequant_f32_body) - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, dequant_q4_0_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, dequant_q4_1_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, dequant_q5_0_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, dequant_q5_1_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, dequant_q8_0_body)) - elif i == GGML_TYPE_Q2_K: - stream.extend((shader_q2_K_defines, dequant_q2_K_body)) - elif i == GGML_TYPE_Q3_K: - stream.extend((shader_q3_K_defines, dequant_q3_K_body)) - elif i == GGML_TYPE_Q4_K: - stream.extend((shader_q4_K_defines, dequant_q4_K_body)) - elif i == GGML_TYPE_Q5_K: - stream.extend((shader_q5_K_defines, dequant_q5_K_body)) - elif i == GGML_TYPE_Q6_K: - stream.extend((shader_q6_K_defines, dequant_q6_K_body)) - else: - continue - - tasks.append(string_to_spv(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"})) - - # get_rows - for i in range(0, VK_NUM_TYPES): - stream.clear() - stream.extend((generic_binary_op_head, shader_int8_ext, shader_f32)) - optimization_workaround = False - - if i == GGML_TYPE_F32: - stream.extend((shader_f32_defines, generic_binary_op_layout, generic_binary_op_funcs, get_rows_float_body)) - elif i == GGML_TYPE_F16: - stream.extend((shader_f16_defines, generic_binary_op_layout, generic_binary_op_funcs, get_rows_float_body)) - optimization_workaround = True - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, generic_binary_op_layout, shader_q4_0_dequant_func, generic_binary_op_funcs, get_rows_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, generic_binary_op_layout, shader_q4_1_dequant_func, generic_binary_op_funcs, get_rows_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, generic_binary_op_layout, shader_q5_0_dequant_func, generic_binary_op_funcs, get_rows_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, generic_binary_op_layout, shader_q5_1_dequant_func, generic_binary_op_funcs, get_rows_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, generic_binary_op_layout, shader_q8_0_dequant_func, generic_binary_op_funcs, get_rows_body)) - else: - continue - - if optimization_workaround: - tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"})) - else: - tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float16_t"})) - tasks.append(string_to_spv(f"get_rows_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float"})) - - tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", mul_mat_nc_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", "mul_mat_vec_p021.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"})) # Norms - tasks.append(string_to_spv("norm_f32", f"{generic_head}\n{shader_f32}\n{norm_body}", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("norm_f32", "norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("rms_norm_f32", "rms_norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("cpy_f32_f32", f"{generic_unary_op_combined}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("cpy_f32_f16", f"{generic_unary_op_combined}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float16_t"})) - tasks.append(string_to_spv("cpy_f16_f16", f"{generic_unary_op_combined}\n{cpy_f16_f16_end}", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) + tasks.append(string_to_spv("cpy_f32_f32", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("cpy_f32_f16", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float16_t"})) + tasks.append(string_to_spv("cpy_f16_f16", "copy.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"})) - tasks.append(string_to_spv("add_f32", f"{generic_binary_op_combined}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("add_f32", "add.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {})) + tasks.append(string_to_spv("split_k_reduce", "mul_mat_split_k_reduce.comp", {})) - tasks.append(string_to_spv("mul_f32", f"{generic_binary_op_combined}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("mul_f32", "mul.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("div_f32", f"{generic_binary_op_combined}\n{div_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("div_f32", "div.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("scale_f32", f"{generic_unary_op_combined}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("scale_f32", "scale.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("sqr_f32", f"{generic_unary_op_combined}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("sqr_f32", "square.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("clamp_f32", f"{generic_unary_op_combined}\n{clamp_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) + tasks.append(string_to_spv("clamp_f32", "clamp.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"})) - tasks.append(string_to_spv("gelu_f32", f"{generic_head}\n{shader_f32}\n{gelu_body}", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("silu_f32", f"{generic_head}\n{shader_f32}\n{silu_body}", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("relu_f32", f"{generic_head}\n{shader_f32}\n{relu_body}", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("gelu_f32", "gelu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("silu_f32", "silu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("relu_f32", "relu.comp", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("diag_mask_inf_f32", f"{diag_mask_inf_head}\n{shader_f32}\n{diag_mask_inf_body}", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("diag_mask_inf_f32", "diag_mask_inf.comp", {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("soft_max_f32", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float", "C_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("soft_max_f32_f16", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float16_t", "C_TYPE": "float16_t", "D_TYPE": "float"})) + tasks.append(string_to_spv("soft_max_f32", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("soft_max_f32_f16", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"})) - tasks.append(string_to_spv("rope_norm_f32", rope_norm_src, {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("rope_norm_f16", rope_norm_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) + tasks.append(string_to_spv("rope_norm_f32", "rope_norm.comp", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("rope_norm_f16", "rope_norm.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) - tasks.append(string_to_spv("rope_neox_f32", rope_neox_src, {"A_TYPE": "float", "D_TYPE": "float"})) - tasks.append(string_to_spv("rope_neox_f16", rope_neox_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) + tasks.append(string_to_spv("rope_neox_f32", "rope_neox.comp", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("rope_neox_f16", "rope_neox.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"})) - tasks.append(string_to_spv("argsort_f32", argsort_src, {"A_TYPE": "float"})) + tasks.append(string_to_spv("argsort_f32", "argsort.comp", {"A_TYPE": "float"})) - tasks.append(string_to_spv("sum_rows_f32", f"{generic_head}\n{shader_f32}\n{sum_rows_src}", {"A_TYPE": "float", "D_TYPE": "float"})) + tasks.append(string_to_spv("sum_rows_f32", "sum_rows.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"})) # Helper to decorate tasks with semaphore acquisition. async def withSemaphore(sem, task): diff --git a/vulkan-shaders/add.comp b/vulkan-shaders/add.comp new file mode 100644 index 000000000..8475b0119 --- /dev/null +++ b/vulkan-shaders/add.comp @@ -0,0 +1,12 @@ +#version 450 + +#include "types.comp" +#include "generic_binary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); +} diff --git a/vulkan-shaders/argsort.comp b/vulkan-shaders/argsort.comp new file mode 100644 index 000000000..e55414b03 --- /dev/null +++ b/vulkan-shaders/argsort.comp @@ -0,0 +1,71 @@ +#version 450 + +#include "types.comp" + +#define BLOCK_SIZE 1024 +#define ASC 0 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) buffer D {int data_d[];}; + +layout (push_constant) uniform parameter { + uint ncols; + uint ncols_pad; + uint order; +} p; + +shared int dst_row[BLOCK_SIZE]; + +void swap(uint idx0, uint idx1) { + int tmp = dst_row[idx0]; + dst_row[idx0] = dst_row[idx1]; + dst_row[idx1] = tmp; +} + +void main() { + // bitonic sort + const int col = int(gl_LocalInvocationID.x); + const uint row = gl_WorkGroupID.y; + + if (col >= p.ncols_pad) { + return; + } + + const uint row_offset = row * p.ncols; + + // initialize indices + dst_row[col] = col; + barrier(); + + for (uint k = 2; k <= p.ncols_pad; k *= 2) { + for (uint j = k / 2; j > 0; j /= 2) { + const uint ixj = col ^ j; + if (ixj > col) { + if ((col & k) == 0) { + if (dst_row[col] >= p.ncols || + (dst_row[ixj] < p.ncols && (p.order == ASC ? + data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] : + data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]])) + ) { + swap(col, ixj); + } + } else { + if (dst_row[ixj] >= p.ncols || + (dst_row[col] < p.ncols && (p.order == ASC ? + data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] : + data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]])) + ) { + swap(col, ixj); + } + } + } + barrier(); + } + } + + if (col < p.ncols) { + data_d[row_offset + col] = dst_row[col]; + } +} diff --git a/vulkan-shaders/clamp.comp b/vulkan-shaders/clamp.comp new file mode 100644 index 000000000..ca272e227 --- /dev/null +++ b/vulkan-shaders/clamp.comp @@ -0,0 +1,13 @@ +#version 450 + +#include "types.comp" +#include "generic_unary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val < p.param1 ? p.param1 : (val > p.param2 ? p.param2 : val)); +} diff --git a/vulkan-shaders/copy.comp b/vulkan-shaders/copy.comp new file mode 100644 index 000000000..efb55876e --- /dev/null +++ b/vulkan-shaders/copy.comp @@ -0,0 +1,16 @@ +#version 450 + +#include "types.comp" +#include "generic_unary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + +#ifndef OPTIMIZATION_ERROR_WORKAROUND + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); +#else + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = data_a[src0_idx(gl_GlobalInvocationID.x)]; +#endif +} diff --git a/vulkan-shaders/dequant_f32.comp b/vulkan-shaders/dequant_f32.comp new file mode 100644 index 000000000..a4d3fca55 --- /dev/null +++ b/vulkan-shaders/dequant_f32.comp @@ -0,0 +1,20 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {float data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_GlobalInvocationID.x * 16; + + if (i >= p.nel) { + return; + } + + [[unroll]] for (uint l = 0; l < 16; l++) { + data_b[i + l] = D_TYPE(data_a[i + l]); + } +} diff --git a/vulkan-shaders/dequant_funcs.comp b/vulkan-shaders/dequant_funcs.comp new file mode 100644 index 000000000..35d424d18 --- /dev/null +++ b/vulkan-shaders/dequant_funcs.comp @@ -0,0 +1,60 @@ +#if !defined(DATA_A_F32) && !defined(DATA_A_F16) +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +#endif + +#if defined(DATA_A_F32) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]); +} +#endif + +#if defined(DATA_A_F16) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]); +} +#endif + +#if defined(DATA_A_Q4_0) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const float d = float(data_a[a_offset + ib].d); + const uint vui = uint(data_a[a_offset + ib].qs[iqs]); + return (vec2(vui & 0xF, vui >> 4) - 8.0f) * d; +} +#endif + +#if defined(DATA_A_Q4_1) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const float d = float(data_a[a_offset + ib].d); + const float m = float(data_a[a_offset + ib].m); + const uint vui = uint(data_a[a_offset + ib].qs[iqs]); + return vec2(vui & 0xF, vui >> 4) * d + m; +} +#endif + +#if defined(DATA_A_Q5_0) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const float d = float(data_a[a_offset + ib].d); + const uint uint_qh = uint(data_a[a_offset + ib].qh[1]) << 16 | data_a[a_offset + ib].qh[0]; + const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); + const uint vui = uint(data_a[a_offset + ib].qs[iqs]); + return (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d; +} +#endif + +#if defined(DATA_A_Q5_1) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const float d = float(data_a[a_offset + ib].d); + const float m = float(data_a[a_offset + ib].m); + const uint uint_qh = data_a[a_offset + ib].qh; + const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); + const uint vui = uint(data_a[a_offset + ib].qs[iqs]); + return vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m; +} +#endif + +#if defined(DATA_A_Q8_0) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const float d = float(data_a[a_offset + ib].d); + return vec2(int(data_a[a_offset + ib].qs[iqs]), int(data_a[a_offset + ib].qs[iqs + 1])) * d; +} +#endif diff --git a/vulkan-shaders/dequant_head.comp b/vulkan-shaders/dequant_head.comp new file mode 100644 index 000000000..8d806435b --- /dev/null +++ b/vulkan-shaders/dequant_head.comp @@ -0,0 +1,13 @@ +#extension GL_EXT_control_flow_attributes : require +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint M; + uint K; + uint stride_a; + uint stride_b; + uint nel; +} p; + +#include "types.comp" diff --git a/vulkan-shaders/dequant_q2_k.comp b/vulkan-shaders/dequant_q2_k.comp new file mode 100644 index 000000000..157154af3 --- /dev/null +++ b/vulkan-shaders/dequant_q2_k.comp @@ -0,0 +1,34 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { + const uint i = gl_WorkGroupID.x * 256 + wgy; + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const uint tid = gl_LocalInvocationID.x; + const uint ip = tid / 32; + const uint il = tid - 32 * ip; + const uint is = 8 * ip + il / 16; + + const uint y_idx = i * QUANT_K + 128 * ip + il; + + const uint ql_idx = 32 * ip + il; + const uint8_t qs = data_a[i].qs[32 * ip + il]; + + FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); + data_b[y_idx + 0] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+0] >> 4)); + data_b[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+2] >> 4)); + data_b[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+4] >> 4)); + data_b[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+6] >> 4)); + } +} diff --git a/vulkan-shaders/dequant_q3_k.comp b/vulkan-shaders/dequant_q3_k.comp new file mode 100644 index 000000000..c17dd0d99 --- /dev/null +++ b/vulkan-shaders/dequant_q3_k.comp @@ -0,0 +1,42 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { + const uint i = uint(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const uint r = gl_LocalInvocationID.x / 4; + const uint tid = r / 2; + const uint is0 = r % 2; + const uint l0 = 16 * is0 + 4 * (gl_LocalInvocationID.x % 4); + const uint n = tid / 4; + const uint j = tid - 4*n; + + const uint8_t m = uint8_t(1 << (4*n + j)); + const uint is = 8*n + 2*j + is0; + const uint shift = 2*j; + + const int8_t us = int8_t(is < 4 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+8] >> 0) & 3) << 4) : + is < 8 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+4] >> 2) & 3) << 4) : + is < 12 ? (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is+0] >> 4) & 3) << 4) : + (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is-4] >> 6) & 3) << 4)); + const FLOAT_TYPE d_all = FLOAT_TYPE(data_a[i].d); + const FLOAT_TYPE dl = d_all * FLOAT_TYPE(us - 32); + + const uint y_idx = i * QUANT_K + 128 * n + 32 * j; + const uint qs_idx = 32*n; + + for (uint l = l0; l < l0 + 4; ++l) { + data_b[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((data_a[i].qs[qs_idx + l] >> shift) & 3) - (((data_a[i].hmask[l] & m) != 0) ? 0 : 4))); + } + } +} diff --git a/vulkan-shaders/dequant_q4_0.comp b/vulkan-shaders/dequant_q4_0.comp new file mode 100644 index 000000000..11e07e66b --- /dev/null +++ b/vulkan-shaders/dequant_q4_0.comp @@ -0,0 +1,32 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_q4_0 data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; + + const uint tid = gl_LocalInvocationID.x % 64; + const uint il = tid/32; + const uint ir = tid%32; + const uint ib = 32*i + ir; + if (ib >= p.nel / 32) { + return; + } + + const uint b_idx = 1024*i + 32*ir + 8*il; + + const float d = float(data_a[ib].d); + const float dm = -8.0f * d; + + const uint q_idx = 8*il; + + [[unroll]] for (uint l = 0; l < 8; ++l) { + data_b[b_idx + l + 0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + dm); + data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >> 4) + dm); + } +} diff --git a/vulkan-shaders/dequant_q4_1.comp b/vulkan-shaders/dequant_q4_1.comp new file mode 100644 index 000000000..2f27eee68 --- /dev/null +++ b/vulkan-shaders/dequant_q4_1.comp @@ -0,0 +1,32 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_q4_1 data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; + + const uint tid = gl_LocalInvocationID.x % 64; + const uint il = tid/32; + const uint ir = tid%32; + const uint ib = 32*i + ir; + if (ib >= p.nel / 32) { + return; + } + + const uint b_idx = 1024*i + 32*ir + 8*il; + + const float d = float(data_a[ib].d); + const float m = float(data_a[ib].m); + + const uint q_idx = 8*il; + + [[unroll]] for (uint l = 0; l < 8; ++l) { + data_b[b_idx + l + 0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + m); + data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >> 4) + m); + } +} diff --git a/vulkan-shaders/dequant_q4_k.comp b/vulkan-shaders/dequant_q4_k.comp new file mode 100644 index 000000000..92acb7540 --- /dev/null +++ b/vulkan-shaders/dequant_q4_k.comp @@ -0,0 +1,56 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { + const uint i = gl_WorkGroupID.x * 256 + wgy; + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const uint tid = gl_LocalInvocationID.x; + const uint il = tid / 8; + const uint ir = tid % 8; + const uint is = 2 * il; + const uint n = 4; + + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); + + const uint y_idx = i * QUANT_K + 64 * il + n * ir; + const uint qs_idx = 32*il + n * ir; + + uint8_t sc; + uint8_t m; + if (is < 4) { + sc = uint8_t(data_a[i].scales[is] & 63); + m = uint8_t(data_a[i].scales[is + 4] & 63); + } else { + sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); + } + const FLOAT_TYPE d1 = dall * sc; + const FLOAT_TYPE m1 = dmin * m; + + if (is < 4) { + sc = uint8_t(data_a[i].scales[is + 1] & 63); + m = uint8_t(data_a[i].scales[is + 5] & 63); + } else { + sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); + } + const FLOAT_TYPE d2 = dall * sc; + const FLOAT_TYPE m2 = dmin * m; + + [[unroll]] for (uint l = 0; l < n; ++l) { + data_b[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] & 0xF) - m1); + data_b[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] >> 4) - m2); + } + } +} diff --git a/vulkan-shaders/dequant_q5_0.comp b/vulkan-shaders/dequant_q5_0.comp new file mode 100644 index 000000000..b20b80529 --- /dev/null +++ b/vulkan-shaders/dequant_q5_0.comp @@ -0,0 +1,34 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_q5_0 data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; + + const uint tid = gl_LocalInvocationID.x % 64; + const uint il = tid/32; + const uint ir = tid%32; + const uint ib = 32*i + ir; + if (ib >= p.nel / 32) { + return; + } + + const uint b_idx = 1024*i + 32*ir + 8*il; + + const float d = float(data_a[ib].d); + const uint qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; + + const uint q_idx = 8*il; + + [[unroll]] for (uint l = 0; l < 8; ++l) { + const uint iqs = q_idx + l; + const uint vui = uint(data_a[ib].qs[iqs]); + data_b[b_idx + l + 0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10)) - 16.0f)); + data_b[b_idx + l + 16] = D_TYPE(d * (((vui >> 4) | ((qh >> (iqs + 12)) & 0x10)) - 16.0f)); + } +} diff --git a/vulkan-shaders/dequant_q5_1.comp b/vulkan-shaders/dequant_q5_1.comp new file mode 100644 index 000000000..dc59fe3b7 --- /dev/null +++ b/vulkan-shaders/dequant_q5_1.comp @@ -0,0 +1,35 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_q5_1 data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; + + const uint tid = gl_LocalInvocationID.x % 64; + const uint il = tid/32; + const uint ir = tid%32; + const uint ib = 32*i + ir; + if (ib >= p.nel / 32) { + return; + } + + const uint b_idx = 1024*i + 32*ir + 8*il; + + const float d = float(data_a[ib].d); + const float m = float(data_a[ib].m); + const uint qh = data_a[ib].qh; + + const uint q_idx = 8*il; + + [[unroll]] for (uint l = 0; l < 8; ++l) { + const uint iqs = q_idx + l; + const uint vui = uint(data_a[ib].qs[iqs]); + data_b[b_idx + l + 0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10))) + m); + data_b[b_idx + l + 16] = D_TYPE(d * (((vui >> 4) | ((qh >> (iqs + 12)) & 0x10))) + m); + } +} diff --git a/vulkan-shaders/dequant_q5_k.comp b/vulkan-shaders/dequant_q5_k.comp new file mode 100644 index 000000000..f314a76d1 --- /dev/null +++ b/vulkan-shaders/dequant_q5_k.comp @@ -0,0 +1,58 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { + const uint i = gl_WorkGroupID.x * 256 + wgy; + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const uint tid = gl_LocalInvocationID.x; + const uint il = tid / 16; + const uint ir = tid % 16; + const uint is = 2 * il; + + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); + + const uint y_idx = i * QUANT_K + 64 * il + 2 * ir; + const uint qs_idx = 32*il + 2 * ir; + const uint qh_idx = 2 * ir; + + uint8_t sc; + uint8_t m; + if (is < 4) { + sc = uint8_t(data_a[i].scales[is] & 63); + m = uint8_t(data_a[i].scales[is + 4] & 63); + } else { + sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); + } + const FLOAT_TYPE d1 = dall * sc; + const FLOAT_TYPE m1 = dmin * m; + + if (is < 4) { + sc = uint8_t(data_a[i].scales[is + 1] & 63); + m = uint8_t(data_a[i].scales[is + 5] & 63); + } else { + sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); + } + const FLOAT_TYPE d2 = dall * sc; + const FLOAT_TYPE m2 = dmin * m; + + const uint8_t hm1 = uint8_t(1 << (2 * il )); + const uint8_t hm2 = uint8_t(1 << (2 * il + 1)); + data_b[y_idx ] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx ] & 0xF) + (((data_a[i].qh[qh_idx ] & hm1) != 0) ? 16 : 0)) - m1); + data_b[y_idx + 1] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] & 0xF) + (((data_a[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1); + data_b[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx ] >> 4) + (((data_a[i].qh[qh_idx ] & hm2) != 0) ? 16 : 0)) - m2); + data_b[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] >> 4) + (((data_a[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2); + } +} diff --git a/vulkan-shaders/dequant_q6_k.comp b/vulkan-shaders/dequant_q6_k.comp new file mode 100644 index 000000000..0b9131755 --- /dev/null +++ b/vulkan-shaders/dequant_q6_k.comp @@ -0,0 +1,33 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) { + const uint i = gl_WorkGroupID.x * 256 + wgy; + if (i >= p.M * p.K / QUANT_K) { + return; + } + const uint tid = gl_LocalInvocationID.x; + const uint ip = tid / 32; + const uint il = tid - 32 * ip; + const uint is = 8 * ip + il / 16; + + const uint y_idx = i * QUANT_K + 128 * ip + il; + + const uint ql_idx = 64 * ip + il; + const uint8_t qh = data_a[i].qh[32 * ip + il]; + + const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d); + + data_b[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); + data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); + data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); + data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); + } +} diff --git a/vulkan-shaders/dequant_q8_0.comp b/vulkan-shaders/dequant_q8_0.comp new file mode 100644 index 000000000..bd1344a88 --- /dev/null +++ b/vulkan-shaders/dequant_q8_0.comp @@ -0,0 +1,31 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_q8_0 data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64; + + const uint tid = gl_LocalInvocationID.x % 64; + const uint il = tid/32; + const uint ir = tid%32; + const uint ib = 32*i + ir; + if (ib >= p.nel / 32) { + return; + } + + const uint b_idx = 1024*i + 32*ir + 16*il; + + const float d = float(data_a[ib].d); + + const uint q_idx = 16*il; + + [[unroll]] for (uint l = 0; l < 16; l += 2) { + data_b[b_idx + l ] = D_TYPE(d * data_a[ib].qs[q_idx + l ]); + data_b[b_idx + l + 1] = D_TYPE(d * data_a[ib].qs[q_idx + l + 1]); + } +} diff --git a/vulkan-shaders/diag_mask_inf.comp b/vulkan-shaders/diag_mask_inf.comp new file mode 100644 index 000000000..4e68742b5 --- /dev/null +++ b/vulkan-shaders/diag_mask_inf.comp @@ -0,0 +1,34 @@ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_control_flow_attributes : enable + +layout (push_constant) uniform parameter +{ + uint ncols; + uint rows_per_channel; + uint n_past; +} p; + +#include "types.comp" + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint col = gl_GlobalInvocationID.y; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + const uint i = row*p.ncols + col; + if (col > p.n_past + row % p.rows_per_channel) { + data_d[i] = D_TYPE(uintBitsToFloat(0xFF800000)); + } else { + data_d[i] = D_TYPE(data_a[i]); + } +} diff --git a/vulkan-shaders/div.comp b/vulkan-shaders/div.comp new file mode 100644 index 000000000..8ee4bfc73 --- /dev/null +++ b/vulkan-shaders/div.comp @@ -0,0 +1,12 @@ +#version 450 + +#include "types.comp" +#include "generic_binary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); +} diff --git a/vulkan-shaders/gelu.comp b/vulkan-shaders/gelu.comp new file mode 100644 index 000000000..9fe807cce --- /dev/null +++ b/vulkan-shaders/gelu.comp @@ -0,0 +1,25 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const float GELU_COEF_A = 0.044715f; + const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + const float xi = float(data_a[i]); + const float val = SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi); + data_d[i] = D_TYPE(0.5f*xi*(2.0f - 2.0f / (exp(2 * val) + 1))); +} diff --git a/vulkan-shaders/generic_binary_head.comp b/vulkan-shaders/generic_binary_head.comp new file mode 100644 index 000000000..ab45d2564 --- /dev/null +++ b/vulkan-shaders/generic_binary_head.comp @@ -0,0 +1,48 @@ +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint ne; + uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03; + uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13; + uint ne20; uint ne21; uint ne22; uint ne23; uint nb20; uint nb21; uint nb22; uint nb23; + uint d_offset; + float param1; float param2; +} p; + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; + +uint src0_idx(uint idx) { + const uint i03 = idx / (p.ne02*p.ne01*p.ne00); + const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; + const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); + const uint i02_offset = i02*p.ne01*p.ne00; + const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; + const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; + return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00; +} + +uint src1_idx(uint idx) { + const uint i03 = idx / (p.ne02*p.ne01*p.ne00); + const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; + const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); + const uint i02_offset = i02*p.ne01*p.ne00; + const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; + const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; + + return (i03 % p.ne13)*p.nb13 + (i02 % p.ne12)*p.nb12 + (i01 % p.ne11)*p.nb11 + (i00 % p.ne10)*p.nb10; +} + +uint dst_idx(uint idx) { + const uint i23 = idx / (p.ne22*p.ne21*p.ne20); + const uint i23_offset = i23 * p.ne22*p.ne21*p.ne20; + const uint i22 = (idx - i23_offset) / (p.ne21*p.ne20); + const uint i22_offset = i22*p.ne21*p.ne20; + const uint i21 = (idx - i23_offset - i22_offset) / p.ne20; + const uint i20 = idx - i23_offset - i22_offset - i21*p.ne20; + return i23*p.nb23 + i22*p.nb22 + i21*p.nb21 + i20*p.nb20; +} diff --git a/vulkan-shaders/generic_head.comp b/vulkan-shaders/generic_head.comp new file mode 100644 index 000000000..66e46ae67 --- /dev/null +++ b/vulkan-shaders/generic_head.comp @@ -0,0 +1,9 @@ +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint KX; + uint KY; + float param1; + float param2; +} p; diff --git a/vulkan-shaders/generic_unary_head.comp b/vulkan-shaders/generic_unary_head.comp new file mode 100644 index 000000000..de08de7cd --- /dev/null +++ b/vulkan-shaders/generic_unary_head.comp @@ -0,0 +1,35 @@ +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint ne; + uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03; + uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13; + uint d_offset; + float param1; float param2; +} p; + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +uint src0_idx(uint idx) { + const uint i03 = idx / (p.ne02*p.ne01*p.ne00); + const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00; + const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00); + const uint i02_offset = i02*p.ne01*p.ne00; + const uint i01 = (idx - i03_offset - i02_offset) / p.ne00; + const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00; + return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00; +} + +uint dst_idx(uint idx) { + const uint i13 = idx / (p.ne12*p.ne11*p.ne10); + const uint i13_offset = i13 * p.ne12*p.ne11*p.ne10; + const uint i12 = (idx - i13_offset) / (p.ne11*p.ne10); + const uint i12_offset = i12*p.ne11*p.ne10; + const uint i11 = (idx - i13_offset - i12_offset) / p.ne10; + const uint i10 = idx - i13_offset - i12_offset - i11*p.ne10; + return i13*p.nb13 + i12*p.nb12 + i11*p.nb11 + i10*p.nb10; +} diff --git a/vulkan-shaders/get_rows.comp b/vulkan-shaders/get_rows.comp new file mode 100644 index 000000000..e9ff22efa --- /dev/null +++ b/vulkan-shaders/get_rows.comp @@ -0,0 +1,26 @@ +#version 450 + +#include "types.comp" +#include "generic_binary_head.comp" + +void main() { + const uint i00 = gl_GlobalInvocationID.x; + const uint i10 = gl_GlobalInvocationID.y; + const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; + const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; + + if (i00 >= p.ne00) { + return; + } + + const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12]; + + const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03; + const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23; + +#ifndef OPTIMIZATION_ERROR_WORKAROUND + data_d[d_offset + i00] = D_TYPE(data_a[a_offset + i00]); +#else + data_d[d_offset + i00] = data_a[a_offset + i00]; +#endif +} diff --git a/vulkan-shaders/get_rows_quant.comp b/vulkan-shaders/get_rows_quant.comp new file mode 100644 index 000000000..53a9a96f2 --- /dev/null +++ b/vulkan-shaders/get_rows_quant.comp @@ -0,0 +1,31 @@ +#version 450 + +#include "types.comp" +#include "generic_binary_head.comp" +#include "dequant_funcs.comp" + +void main() { + const uint i00 = (gl_GlobalInvocationID.x)*2; + const uint i10 = gl_GlobalInvocationID.y; + const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; + const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; + + if (i00 >= p.ne00) { + return; + } + + const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12]; + + const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03; + const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23; + + const uint ib = a_offset + i00/QUANT_K; // block index + const uint iqs = (i00%QUANT_K)/QUANT_R; // quant index + const uint iybs = i00 - i00%QUANT_K; // dst block start index + const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + + vec2 v = dequantize(ib, iqs, 0); + + data_d[d_offset + iybs + iqs ] = D_TYPE(v.x); + data_d[d_offset + iybs + iqs + y_offset] = D_TYPE(v.y); +} diff --git a/vulkan-shaders/mul.comp b/vulkan-shaders/mul.comp new file mode 100644 index 000000000..bbb0aa1d2 --- /dev/null +++ b/vulkan-shaders/mul.comp @@ -0,0 +1,12 @@ +#version 450 + +#include "types.comp" +#include "generic_binary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)])); +} diff --git a/vulkan-shaders/mul_mat_split_k_reduce.comp b/vulkan-shaders/mul_mat_split_k_reduce.comp new file mode 100644 index 000000000..825b91031 --- /dev/null +++ b/vulkan-shaders/mul_mat_split_k_reduce.comp @@ -0,0 +1,29 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {float data_a[];}; +layout (binding = 1) writeonly buffer D {float data_d[];}; + +layout (push_constant) uniform parameter { + uint ne; + uint k_num; +} p; + +void main() { + const uint idx = gl_GlobalInvocationID.x; + + if (idx >= p.ne) { + return; + } + + float result = 0.0f; + + [[unroll]] for (uint i = 0; i < p.k_num; i++) { + result += data_a[i * p.ne + idx]; + } + + data_d[idx] = result; +} diff --git a/vulkan-shaders/mul_mat_vec.comp b/vulkan-shaders/mul_mat_vec.comp new file mode 100644 index 000000000..292ccfd74 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec.comp @@ -0,0 +1,50 @@ +#version 450 + +#ifdef FLOAT16 +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#endif + +#include "mul_mat_vec_base.comp" + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (constant_id = 0) const uint BLOCK_SIZE = 32; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + + tmp[tid] = FLOAT_TYPE(0.0f); + + [[unroll]] for (uint i = 0; i < p.ncols/BLOCK_SIZE; i += 2) { + const uint col = i*BLOCK_SIZE + 2*tid; + const uint ib = (row*p.ncols + col)/QUANT_K; // block index + const uint iqs = (col%QUANT_K)/QUANT_R; // quant index + const uint iybs = col - col%QUANT_K; // y block start index + + vec2 v = dequantize(ib, iqs, a_offset / QUANT_K); + + // matrix multiplication + tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[b_offset + iybs + iqs]) + + FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[b_offset + iybs + iqs + y_offset]); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = BLOCK_SIZE/2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mat_vec_base.comp b/vulkan-shaders/mul_mat_vec_base.comp new file mode 100644 index 000000000..5920bc936 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_base.comp @@ -0,0 +1,81 @@ +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_8bit_storage : require + +#define K_QUANTS_PER_ITERATION 2 + +#ifdef MUL_MAT_ID +#define EXPERT_COUNT 8 +#endif + +#include "types.comp" + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; +#ifdef MUL_MAT_ID +layout (binding = 3) readonly buffer IDS {int data_ids[];}; +#endif + +#include "dequant_funcs.comp" + +layout (push_constant) uniform parameter +{ + uint ncols; + uint stride_a; + uint stride_b; + uint stride_d; + + uint batch_stride_a; + uint batch_stride_b; + uint batch_stride_d; + +#ifdef MUL_MAT_ID + uint nei0; + uint ne11; +#else + uint ne02; + uint ne12; + uint broadcast2; + uint broadcast3; +#endif +} p; + +void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) { +#ifdef MUL_MAT_ID + const uint expert_idx = gl_GlobalInvocationID.y; +#else + const uint batch_idx = gl_GlobalInvocationID.y; +#endif + +#ifndef MUL_MAT_ID + const uint i13 = batch_idx / p.ne12; + const uint i12 = batch_idx % p.ne12; + + const uint i03 = i13 / p.broadcast3; + const uint i02 = i12 / p.broadcast2; + + const uint batch_idx_a = i03 * p.ne02 + i02; +#else + const uint expert_id = data_ids[expert_idx]; +#endif + + a_offset = +#ifdef MUL_MAT_ID + expert_id * p.batch_stride_a; +#else + batch_idx_a * p.batch_stride_a; +#endif + b_offset = +#ifdef MUL_MAT_ID + (expert_idx % p.ne11) * p.stride_b; +#else + batch_idx * p.batch_stride_b; +#endif + d_offset = +#ifdef MUL_MAT_ID + expert_idx * p.stride_d; +#else + batch_idx * p.batch_stride_d; +#endif +} diff --git a/vulkan-shaders/mul_mat_vec_nc.comp b/vulkan-shaders/mul_mat_vec_nc.comp new file mode 100644 index 000000000..cb3f3c0df --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_nc.comp @@ -0,0 +1,71 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#define BLOCK_SIZE 32 +#define FLOAT_TYPE float + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + uint ncols_x; + uint nrows_x; + uint row_stride_x; + uint channel_stride_x; + uint channel_x_divisor; + uint b_offset; + uint d_offset; +} p; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint tid = gl_LocalInvocationID.x; + const uint row_x = gl_GlobalInvocationID.y; + const uint channel = gl_GlobalInvocationID.z; + const uint channel_x = channel / p.channel_x_divisor; + + const uint nrows_y = p.ncols_x; + const uint nrows_dst = p.nrows_x; + const uint row_dst = row_x; + + const uint idst = channel*nrows_dst + row_dst; + + tmp[tid] = 0.0f; + + for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { + const uint col_x = col_x0 + tid; + + if (col_x >= p.ncols_x) { + break; + } + + const uint row_y = col_x; + + const uint ix = channel_x*p.channel_stride_x + row_x*p.row_stride_x + col_x; + const uint iy = channel*nrows_y + row_y; + + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); + + tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + + if (tid == 0) { + dst[idst] = tmp[0]; + } +} diff --git a/vulkan-shaders/mul_mat_vec_p021.comp b/vulkan-shaders/mul_mat_vec_p021.comp new file mode 100644 index 000000000..4b1871caa --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_p021.comp @@ -0,0 +1,73 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#define BLOCK_SIZE 32 +#define FLOAT_TYPE float + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + uint ncols_x; + uint nrows_x; + uint nchannels_x; + uint nchannels_y; + uint b_offset; + uint d_offset; +} p; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint tid = gl_LocalInvocationID.x; + const uint row_x = gl_GlobalInvocationID.y; + const uint channel = gl_GlobalInvocationID.z; + const uint channel_x = channel / (p.nchannels_y / p.nchannels_x); + + const uint nrows_y = p.ncols_x; + const uint nrows_dst = p.nrows_x; + const uint row_dst = row_x; + + tmp[tid] = FLOAT_TYPE(0.0f); + + for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { + const uint col_x = col_x0 + tid; + + if (col_x >= p.ncols_x) { + break; + } + + // x is transposed and permuted + const uint ix = row_x*p.nchannels_x*p.ncols_x + channel_x*p.ncols_x + col_x; + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); + + const uint row_y = col_x; + + // y is not transposed but permuted + const uint iy = channel*nrows_y + row_y; + + tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); + } + + // dst is not transposed and not permuted + const uint idst = channel*nrows_dst + row_dst; + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + + if (tid == 0) { + dst[idst] = tmp[0]; + } +} diff --git a/vulkan-shaders/mul_mat_vec_q2_k.comp b/vulkan-shaders/mul_mat_vec_q2_k.comp new file mode 100644 index 000000000..27bf6d51c --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_q2_k.comp @@ -0,0 +1,73 @@ +#version 450 + +#include "mul_mat_vec_base.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const uint row = gl_WorkGroupID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint num_blocks_per_row = p.ncols / QUANT_K; + const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; + + const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const uint v_in = tid - step*v_im; // 0...15 or 0...7 + + const uint l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const uint q_offset = 32*v_im + l0; + const uint s_offset = 8*v_im; + const uint y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const uint y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); + + FLOAT_TYPE sum1 = FLOAT_TYPE(0.0); + FLOAT_TYPE sum2 = FLOAT_TYPE(0.0); + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + sum1 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) + + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3); + sum2 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) + + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); + } + tmp[16 * ix + tid] += dall * sum1 - dmin * sum2; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mat_vec_q3_k.comp b/vulkan-shaders/mul_mat_vec_q3_k.comp new file mode 100644 index 000000000..7c837fef2 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_q3_k.comp @@ -0,0 +1,66 @@ +#version 450 + +#include "mul_mat_vec_base.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const uint row = gl_WorkGroupID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint num_blocks_per_row = p.ncols / QUANT_K; + const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; + + const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const uint v_in = tid - step*v_im; // 0...15 or 0...7 + + const uint8_t m = uint8_t(1 << (4 * v_im)); + + const uint l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const uint q_offset = 32*v_im + l0; + const uint y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + const uint s_shift = 4 * v_im; + + [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const uint y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); + + FLOAT_TYPE sum = FLOAT_TYPE(0.0); + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + sum += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); + } + tmp[16 * ix + tid] += d * sum; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mat_vec_q4_k.comp b/vulkan-shaders/mul_mat_vec_q4_k.comp new file mode 100644 index 000000000..1566f26d3 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_q4_k.comp @@ -0,0 +1,115 @@ +#version 450 + +#include "mul_mat_vec_base.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const uint row = gl_WorkGroupID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint num_blocks_per_row = p.ncols / QUANT_K; + const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; + + const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const uint step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 + + const uint il = tid/step; // 0...3 + const uint ir = tid - step*il; // 0...7 or 0...3 + const uint n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 + + const uint v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const uint v_in = il % 2; + + const uint l0 = n * (2 * ir + v_in); // 0...15 + const uint q_offset = 32*v_im + l0; + const uint y_offset = 64*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const uint y1_idx = i * QUANT_K + y_offset; + const uint y2_idx = y1_idx + 128; + + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); + + const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + +#if K_QUANTS_PER_ITERATION == 2 + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] & 0xf); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] & 0xf); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] >> 4); + const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] & 0xf); + const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] & 0xf); + const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] >> 4); + const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1 + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * q4_3); + const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_5 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * q4_7); + const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx]) * q4_8 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_9 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * q4_10 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * q4_11); + const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_12 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_13 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * q4_14 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * q4_15); + const FLOAT_TYPE smin = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y1_idx ]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx ]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7 + + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7 + + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * sc7 + + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * sc7 + ); + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); +#else + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx ]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1); + const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_3); + const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx ]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_5); + const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_7); + const FLOAT_TYPE smin = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y1_idx]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7 + + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7 + ); + + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); +#endif + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mat_vec_q5_k.comp b/vulkan-shaders/mul_mat_vec_q5_k.comp new file mode 100644 index 000000000..4add64327 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_q5_k.comp @@ -0,0 +1,111 @@ +#version 450 + +#include "mul_mat_vec_base.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const uint row = gl_WorkGroupID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint num_blocks_per_row = p.ncols / QUANT_K; + const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; + + const uint tid = gl_LocalInvocationID.x/2; // 0...31 or 0...16 + const uint ix = gl_LocalInvocationID.x%2; // 0 or 0, 1 + + const uint il = tid/4; // 0...3 + const uint ir = tid - 4*il; // 0...7 or 0...3 + + const uint v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const uint v_in = il % 2; + + const uint l0 = 4*ir + 2*v_in; // 0...15 + const uint q_offset = 32*v_im + l0; + const uint y_offset = 64*v_im + l0; + + const uint8_t hm1 = uint8_t(1 << (2*v_im)); + const uint8_t hm2 = uint8_t(hm1 << 4); + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += 2) { + const uint y1_idx = i * QUANT_K + y_offset; + const uint y2_idx = y1_idx + 128; + + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); + + const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] & 0xf); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] & 0xf); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] >> 4); + const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] & 0xf); + const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] & 0xf); + const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] >> 4); + const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y1_idx ]) * (q4_0 + (((data_a[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * (q4_1 + (((data_a[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 17]) * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sy = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * (q4_4 + (((data_a[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * (q4_5 + (((data_a[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y1_idx + 49]) * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sz = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y2_idx ]) * (q4_8 + (((data_a[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * (q4_9 + (((data_a[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 17]) * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sw = FLOAT_TYPE( + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * (q4_12 + (((data_a[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * (q4_13 + (((data_a[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) + + FLOAT_TYPE(data_b[b_offset + y2_idx + 49]) * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE smin = FLOAT_TYPE( + (FLOAT_TYPE(data_b[b_offset + y1_idx]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 17])) * sc2 + (FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 49])) * sc3 + + (FLOAT_TYPE(data_b[b_offset + y2_idx]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 17])) * sc6 + (FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 49])) * sc7 + ); + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mat_vec_q6_k.comp b/vulkan-shaders/mul_mat_vec_q6_k.comp new file mode 100644 index 000000000..8c550e7c3 --- /dev/null +++ b/vulkan-shaders/mul_mat_vec_q6_k.comp @@ -0,0 +1,79 @@ +#version 450 + +#include "mul_mat_vec_base.comp" + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const uint row = gl_WorkGroupID.x; + + uint a_offset, b_offset, d_offset; + get_offsets(a_offset, b_offset, d_offset); + + const uint num_blocks_per_row = p.ncols / QUANT_K; + const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row; + + const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const uint v_in = tid - step*v_im; // 0...15 or 0...7 + +#if K_QUANTS_PER_ITERATION == 1 + const uint l0 = v_in; // 0...15 + const uint is = 0; +#else + const uint l0 = 4 * v_in; // 0, 4, 8, ..., 28 + const uint is = v_in / 4; +#endif + + const uint ql_offset = 64*v_im + l0; + const uint qh_offset = 32*v_im + l0; + const uint s_offset = 8*v_im + is; + const uint y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const uint y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); + +#if K_QUANTS_PER_ITERATION == 1 + FLOAT_TYPE sum = FLOAT_TYPE(data_b[b_offset + y_idx + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + tmp[16 * ix + tid] += sum; +#else + FLOAT_TYPE sum = FLOAT_TYPE(0.0); + [[unroll]] for (int l = 0; l < 4; ++l) { + sum += FLOAT_TYPE(data_b[b_offset + y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[b_offset + y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + } + tmp[16 * ix + tid] += sum; +#endif + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (uint s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + data_d[d_offset + row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/mul_mm.comp b/vulkan-shaders/mul_mm.comp new file mode 100644 index 000000000..7c2b45cce --- /dev/null +++ b/vulkan-shaders/mul_mm.comp @@ -0,0 +1,494 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#ifdef FLOAT16 +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#endif + +#ifdef MUL_MAT_ID +#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require +#endif + +#include "types.comp" + +#ifndef LOAD_VEC_A +#define LOAD_VEC_A 1 +#endif +#ifndef LOAD_VEC_B +#define LOAD_VEC_B 1 +#endif + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; + +#ifdef MUL_MAT_ID +layout (binding = 3) readonly buffer IDS {int data_ids[];}; +#endif + +layout (push_constant) uniform parameter +{ + uint M; + uint N; + uint K; + uint stride_a; + uint stride_b; + uint stride_d; + + uint batch_stride_a; + uint batch_stride_b; + uint batch_stride_d; + +#ifdef MUL_MAT_ID + uint nei0; + uint nei1; + uint nbi1; + uint ne11; +#else + uint k_split; + uint ne02; + uint ne12; + uint broadcast2; + uint broadcast3; +#endif +} p; + +layout (constant_id = 1) const uint BM = 64; +layout (constant_id = 2) const uint BN = 64; +layout (constant_id = 3) const uint BK = 16; // Assumed to be 32 if working with a quant +layout (constant_id = 4) const uint WM = 32; +layout (constant_id = 5) const uint WN = 32; +layout (constant_id = 6) const uint WMITER = 2; +layout (constant_id = 7) const uint TM = 4; +layout (constant_id = 8) const uint TN = 2; +layout (constant_id = 9) const uint WARP = 32; + +shared FLOAT_TYPE buf_a[BM * (BK+1)]; +shared FLOAT_TYPE buf_b[BN * (BK+1)]; + +#ifdef MUL_MAT_ID +shared u16vec2 row_ids[2048]; +#endif + +void main() { +#ifdef MUL_MAT_ID + const uint expert_idx = gl_GlobalInvocationID.z; +#else + const uint batch_idx = gl_GlobalInvocationID.z; + + const uint i13 = batch_idx / p.ne12; + const uint i12 = batch_idx % p.ne12; + + const uint i03 = i13 / p.broadcast3; + const uint i02 = i12 / p.broadcast2; + + const uint batch_idx_a = i03 * p.ne02 + i02; +#endif + + const uint blocks_m = (p.M + BM - 1) / BM; + const uint ir = gl_WorkGroupID.x % blocks_m; + const uint ik = gl_WorkGroupID.x / blocks_m; + const uint ic = gl_WorkGroupID.y; + + const uint warp_i = gl_LocalInvocationID.x / WARP; + const uint warp_r = warp_i % (BM / WM); + const uint warp_c = warp_i / (BM / WM); + + const uint WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const uint WSUBM = WM / WMITER; + const uint WSUBN = WN / WNITER; + + const uint tiw = gl_LocalInvocationID.x % WARP; + const uint tiwr = tiw % (WSUBM / TM); + const uint tiwc = tiw / (WSUBM / TM); + + const uint loadr_a = gl_LocalInvocationID.x % (BK / LOAD_VEC_A); + const uint loadc_a = gl_LocalInvocationID.x / (BK / LOAD_VEC_A); + const uint loadr_b = gl_LocalInvocationID.x % (BK / LOAD_VEC_B); + const uint loadc_b = gl_LocalInvocationID.x / (BK / LOAD_VEC_B); + + const uint loadstride_a = gl_WorkGroupSize.x * LOAD_VEC_A / BK; + const uint loadstride_b = gl_WorkGroupSize.x * LOAD_VEC_B / BK; + +#ifdef MUL_MAT_ID + uint _ne1 = 0; + for (uint ii1 = 0; ii1 < p.nei1; ii1++) { + for (uint ii0 = 0; ii0 < p.nei0; ii0++) { + if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) { + row_ids[_ne1] = u16vec2(ii0, ii1); + _ne1++; + } + } + } + + barrier(); + + // Workgroup has no work + if (ic * BN >= _ne1) return; +#endif + +#ifdef MUL_MAT_ID + const uint start_k = 0; + const uint end_k = p.K; +#else + const uint start_k = ik * p.k_split; + const uint end_k = min(p.K, (ik + 1) * p.k_split); +#endif + + uint pos_a = ( +#ifdef MUL_MAT_ID + expert_idx * p.batch_stride_a + +#else + batch_idx_a * p.batch_stride_a + +#endif + ir * BM * p.stride_a + start_k) / LOAD_VEC_A; +#ifdef MUL_MAT_ID + uint pos_b = 0; +#else + uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B; +#endif + + float sums[WMITER * TM * WNITER * TN]; + FLOAT_TYPE cache_a[WMITER * TM]; + FLOAT_TYPE cache_b[WNITER * TN]; + + [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (uint block = start_k; block < end_k; block += BK) { + [[unroll]] for (uint l = 0; l < BM; l += loadstride_a) { + +#if defined(DATA_A_F32) || defined(DATA_A_F16) +#if LOAD_VEC_A == 8 + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + buf_a[buf_idx ] = FLOAT_TYPE(data_a[idx][0].x); + buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx][0].y); + buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx][0].z); + buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx][0].w); + buf_a[buf_idx + 4] = FLOAT_TYPE(data_a[idx][1].x); + buf_a[buf_idx + 5] = FLOAT_TYPE(data_a[idx][1].y); + buf_a[buf_idx + 6] = FLOAT_TYPE(data_a[idx][1].z); + buf_a[buf_idx + 7] = FLOAT_TYPE(data_a[idx][1].w); +#elif LOAD_VEC_A == 4 + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + buf_a[buf_idx ] = FLOAT_TYPE(data_a[idx].x); + buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx].y); + buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx].z); + buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx].w); +#else + if (ir * BM + loadc_a + l < p.M && block + loadr_a < end_k) { + buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(data_a[pos_a + (loadc_a + l) * p.stride_a + loadr_a]); + } else { + buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(0.0f); + } +#endif +#elif defined(DATA_A_Q4_0) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; + + const uint ib = idx / 16; + const uint iqs = idx & 0xF; + + const float d = float(data_a[ib].d); + const uint vui = uint(data_a[ib].qs[iqs]); + const vec2 v = (vec2(vui & 0xF, vui >> 4) - 8.0f) * d; + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 16] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q4_1) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; + + const uint ib = idx / 16; + const uint iqs = idx & 0xF; + + const float d = float(data_a[ib].d); + const float m = float(data_a[ib].m); + const uint vui = uint(data_a[ib].qs[iqs]); + const vec2 v = vec2(vui & 0xF, vui >> 4) * d + m; + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 16] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q5_0) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; + + const uint ib = idx / 16; + const uint iqs = idx & 0xF; + + const float d = float(data_a[ib].d); + const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; + const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); + const uint vui = uint(data_a[ib].qs[iqs]); + const vec2 v = (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d; + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 16] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q5_1) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a; + + const uint ib = idx / 16; + const uint iqs = idx & 0xF; + + const float d = float(data_a[ib].d); + const float m = float(data_a[ib].m); + const uint uint_qh = data_a[ib].qh; + const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); + const uint vui = uint(data_a[ib].qs[iqs]); + const vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m; + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 16] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q8_0) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 16; + const uint iqs = (idx & 0xF) * 2; + + const float d = float(data_a[ib].d); + const vec2 v = vec2(int(data_a[ib].qs[iqs]), int(data_a[ib].qs[iqs + 1])) * d; + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q2_K) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = idx % 128; // 0..127 + + const uint qsi = (iqs / 64) * 32 + (iqs % 16) * 2; // 0,2,4..30 + const uint scalesi = iqs / 8; // 0..15 + const uint qsshift = ((iqs % 64) / 16) * 2; // 0,2,4,6 + + const uvec2 qs = uvec2(data_a[ib].qs[qsi], data_a[ib].qs[qsi + 1]); + const uint scales = data_a[ib].scales[scalesi]; + const vec2 d = vec2(data_a[ib].d); + + const vec2 v = d.x * float(scales & 0xF) * vec2((qs >> qsshift) & 3) - d.y * float(scales >> 4); + + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_Q3_K) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = idx % 128; // 0..127 + + const uint n = iqs / 64; // 0,1 + const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..62 + const uint hmi = (iqs % 16) * 2; // 0,2,4..30 + const uint j = (iqs % 64) / 4; // 0..3 + const uint is = iqs / 8; // 0..15 + const uint halfsplit = ((iqs % 64) / 16); // 0,1,2,3 + const uint qsshift = halfsplit * 2; // 0,2,4,6 + const uint m = 1 << (4 * n + halfsplit); // 1,2,4,8,16,32,64,128 + + const int8_t us = int8_t(is < 4 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+8] >> 0) & 3) << 4) : + is < 8 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+4] >> 2) & 3) << 4) : + is < 12 ? (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is+0] >> 4) & 3) << 4) : + (data_a[ib].scales[is-8] >> 4) | (((data_a[ib].scales[is-4] >> 6) & 3) << 4)); + const float dl = float(data_a[ib].d) * float(us - 32); + + buf_a[buf_idx ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi ] & m) != 0) ? 0 : 4))); + buf_a[buf_idx + 1] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4))); +#elif defined(DATA_A_Q4_K) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = idx % 128; // 0..127 + + const uint n = iqs / 32; // 0,1,2,3 + const uint b = (iqs % 32) / 16; // 0,1 + const uint is = 2 * n + b; // 0..7 + const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..126 + + const vec2 loadd = vec2(data_a[ib].d); + + uint8_t sc; + uint8_t mbyte; + if (is < 4) { + sc = uint8_t(data_a[ib].scales[is ] & 63); + mbyte = uint8_t(data_a[ib].scales[is + 4] & 63); + } else { + sc = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4)); + mbyte = uint8_t((data_a[ib].scales[is + 4] >> 4) | ((data_a[ib].scales[is ] >> 6) << 4)); + } + const float d = loadd.x * sc; + const float m = loadd.y * mbyte; + + buf_a[buf_idx ] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) - m); + buf_a[buf_idx + 1] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) - m); +#elif defined(DATA_A_Q5_K) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = idx % 128; // 0..127 + + const uint n = iqs / 32; // 0,1,2,3 + const uint b = (iqs % 32) / 16; // 0,1 + const uint is = 2 * n + b; // 0..7 + const uint qsi = n * 32 + (iqs % 16) * 2; // 0,2,4..126 + const uint qhi = (iqs % 16) * 2; // 0,2,4..30 + + const uint8_t hm = uint8_t(1 << (iqs / 16)); + + const vec2 loadd = vec2(data_a[ib].d); + + uint8_t sc; + uint8_t mbyte; + if (is < 4) { + sc = uint8_t(data_a[ib].scales[is ] & 63); + mbyte = uint8_t(data_a[ib].scales[is + 4] & 63); + } else { + sc = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4)); + mbyte = uint8_t((data_a[ib].scales[is + 4] >> 4) | ((data_a[ib].scales[is ] >> 6) << 4)); + } + const float d = loadd.x * sc; + const float m = loadd.y * mbyte; + + buf_a[buf_idx ] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi ] & hm) != 0 ? 16 : 0)) - m); + buf_a[buf_idx + 1] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0)) - m); +#elif defined(DATA_A_Q6_K) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint iqs = idx % 128; // 0..127 + + const uint n = iqs / 64; // 0,1 + const uint b = (iqs % 64) / 32; // 0,1 + const uint is_b = (iqs % 16) / 8; // 0,1 + const uint qhshift = ((iqs % 64) / 16) * 2; // 0,2,4,6 + const uint is = 8 * n + qhshift + is_b; // 0..15 + const uint qsi = n * 64 + (iqs % 32) * 2; // 0,2,4..126 + const uint qhi = n * 32 + (iqs % 16) * 2; // 0,2,4..62 + + const float dscale = float(data_a[ib].d) * float(data_a[ib].scales[is]); + + buf_a[buf_idx ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi ] >> qhshift) & 3) << 4)) - 32)); + buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32)); +#endif + } + [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) { +#if LOAD_VEC_B == 8 +#ifdef MUL_MAT_ID + const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l]; + const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b; +#else + const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b; +#endif + const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B; + buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x); + buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y); + buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx][0].z); + buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx][0].w); + buf_b[buf_idx + 4] = FLOAT_TYPE(data_b[idx][1].x); + buf_b[buf_idx + 5] = FLOAT_TYPE(data_b[idx][1].y); + buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z); + buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w); +#elif LOAD_VEC_B == 4 +#ifdef MUL_MAT_ID + const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l]; + const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b; +#else + const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b; +#endif + const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B; + buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x); + buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y); + buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z); + buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w); +#elif !MUL_MAT_ID + if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) { + buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]); + } else { + buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f); + } +#else + const uint row_i = ic * BN + loadc_b + l; + if (row_i < _ne1) { + const u16vec2 row_idx = row_ids[row_i]; + buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]); + } else { + buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f); + } +#endif + } + + barrier(); + + pos_a += BK / LOAD_VEC_A; + pos_b += BK / LOAD_VEC_B; + + for (uint i = 0; i < BK; i++) { + // Load from shared into cache + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (uint j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (uint cc = 0; cc < TN; cc++) { + [[unroll]] for (uint cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const uint dr = ir * BM + warp_r * WM; + const uint dc = ic * BN + warp_c * WN; + +#ifndef MUL_MAT_ID + const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z; +#endif + + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { + + const uint dr_warp = dr + wsir * WSUBM + tiwr * TM; + const uint dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (uint cc = 0; cc < TN; cc++) { +#ifdef MUL_MAT_ID + const uint row_i = dc_warp + cc; + if (row_i >= _ne1) break; + + const u16vec2 row_idx = row_ids[row_i]; +#endif + [[unroll]] for (uint cr = 0; cr < TM; cr++) { +#ifdef MUL_MAT_ID + data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); +#else + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); + } +#endif + } + } + } + } +} diff --git a/vulkan-shaders/norm.comp b/vulkan-shaders/norm.comp new file mode 100644 index 000000000..803dbdcb3 --- /dev/null +++ b/vulkan-shaders/norm.comp @@ -0,0 +1,44 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +shared vec2 sum[BLOCK_SIZE]; + +void main() { + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; + + sum[tid] = vec2(0.0f, 0.0f); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + const float xi = float(data_a[row*p.KX + col]); + sum[tid].x += xi; + sum[tid].y += xi * xi; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + sum[tid] += sum[tid + s]; + } + barrier(); + } + + const float mean = sum[0].x / p.KX; + const float var = sum[0].y / p.KX - mean * mean; + const float inv_std = inversesqrt(var + p.param1); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std); + } +} diff --git a/vulkan-shaders/relu.comp b/vulkan-shaders/relu.comp new file mode 100644 index 000000000..7e5baa5b8 --- /dev/null +++ b/vulkan-shaders/relu.comp @@ -0,0 +1,21 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + data_d[i] = max(float(data_a[i]), 0); +} diff --git a/vulkan-shaders/rms_norm.comp b/vulkan-shaders/rms_norm.comp new file mode 100644 index 000000000..cfd08d345 --- /dev/null +++ b/vulkan-shaders/rms_norm.comp @@ -0,0 +1,42 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +shared FLOAT_TYPE sum[BLOCK_SIZE]; + +void main() { + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; + + sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]); + sum[tid] += xi * xi; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + sum[tid] += sum[tid + s]; + } + barrier(); + } + + const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX); + const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1)); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col])); + } +} diff --git a/vulkan-shaders/rope_head.comp b/vulkan-shaders/rope_head.comp new file mode 100644 index 000000000..ea8954226 --- /dev/null +++ b/vulkan-shaders/rope_head.comp @@ -0,0 +1,44 @@ +#include "types.comp" + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {int data_pos[];}; +layout (binding = 2) readonly buffer Z {float data_ff[];}; +layout (binding = 3) writeonly buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter { + uint ncols; + uint n_dims; + float freq_scale; + uint p_delta_rows; + float freq_base; + float ext_factor; + float attn_factor; + float corr_dims[2]; + float theta_scale; + uint has_ff; +} p; + +float rope_yarn_ramp(const float low, const float high, const uint i0) { + const float y = (i0 / 2 - low) / max(0.001f, high - low); + return 1.0f - min(1.0f, max(0.0f, y)); +} + +void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) { + float mscale = p.attn_factor; + // Get n-d rotational scaling corrected for extrapolation + float theta_interp = p.freq_scale * theta_extrap; + float theta = theta_interp; + if (p.ext_factor != 0.0f) { + float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor; + theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; + + // Get n-d magnitude scaling corrected for interpolation + mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale); + } + cos_theta = cos(theta) * mscale; + sin_theta = sin(theta) * mscale; +} diff --git a/vulkan-shaders/rope_neox.comp b/vulkan-shaders/rope_neox.comp new file mode 100644 index 000000000..83b46b69b --- /dev/null +++ b/vulkan-shaders/rope_neox.comp @@ -0,0 +1,37 @@ +#version 450 + +#include "rope_head.comp" + +void main() { + const uint col = gl_GlobalInvocationID.y * 2; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + if (col >= p.n_dims) { + const uint i = row*p.ncols + col; + + data_d[i + 0] = data_a[i + 0]; + data_d[i + 1] = data_a[i + 1]; + + return; + } + + const uint i = row*p.ncols + col/2; + const uint i2 = row/p.p_delta_rows; + + const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f); + + const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f; + + float cos_theta, sin_theta; + rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta); + + const float x0 = float(data_a[i + 0]); + const float x1 = float(data_a[i + p.n_dims/2]); + + data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); + data_d[i + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta); +} diff --git a/vulkan-shaders/rope_norm.comp b/vulkan-shaders/rope_norm.comp new file mode 100644 index 000000000..e416ad938 --- /dev/null +++ b/vulkan-shaders/rope_norm.comp @@ -0,0 +1,37 @@ +#version 450 + +#include "rope_head.comp" + +void main() { + const uint col = gl_GlobalInvocationID.y * 2; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + if (col >= p.n_dims) { + const uint i = row*p.ncols + col; + + data_d[i + 0] = data_a[i + 0]; + data_d[i + 1] = data_a[i + 1]; + + return; + } + + const uint i = row*p.ncols + col; + const uint i2 = row/p.p_delta_rows; + + const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f); + + const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f; + + float cos_theta, sin_theta; + rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta); + + const float x0 = float(data_a[i + 0]); + const float x1 = float(data_a[i + 1]); + + data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); + data_d[i + 1] = D_TYPE(x0*sin_theta + x1*cos_theta); +} diff --git a/vulkan-shaders/scale.comp b/vulkan-shaders/scale.comp new file mode 100644 index 000000000..510cb7237 --- /dev/null +++ b/vulkan-shaders/scale.comp @@ -0,0 +1,12 @@ +#version 450 + +#include "types.comp" +#include "generic_unary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(p.param1)); +} diff --git a/vulkan-shaders/silu.comp b/vulkan-shaders/silu.comp new file mode 100644 index 000000000..15920f06e --- /dev/null +++ b/vulkan-shaders/silu.comp @@ -0,0 +1,22 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + const float xi = float(data_a[i]); + data_d[i] = D_TYPE(xi / (1.0f + exp(-xi))); +} diff --git a/vulkan-shaders/soft_max.comp b/vulkan-shaders/soft_max.comp new file mode 100644 index 000000000..1b8419c7c --- /dev/null +++ b/vulkan-shaders/soft_max.comp @@ -0,0 +1,106 @@ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint KX; + uint KY; + float scale; + float max_bias; + float m0; + float m1; + uint n_head_log2; +} p; + +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; +layout (binding = 2) buffer D {D_TYPE data_d[];}; + +shared FLOAT_TYPE vals[BLOCK_SIZE]; + +void main() { + const uint tid = gl_LocalInvocationID.x; + const uint rowx = gl_WorkGroupID.x; + const uint rowy = rowx % p.KY; + + float slope = 1.0f; + + // ALiBi + if (p.max_bias > 0.0f) { + const uint h = rowx/p.KY; // head index + + const float base = h < p.n_head_log2 ? p.m0 : p.m1; + const uint exp = h < p.n_head_log2 ? h + 1 : 2*(h - p.n_head_log2) + 1; + + slope = pow(base, exp); + } + + // Find max + FLOAT_TYPE max_val = uintBitsToFloat(0xFF800000); + + [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { + const uint col = col0 + tid; + + if (col >= p.KX) { + break; + } + + max_val = max(max_val, FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f))); + } + vals[tid] = max_val; + + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + vals[tid] = max(vals[tid], vals[tid + s]); + } + barrier(); + } + + max_val = vals[0]; + barrier(); + + // Sum up values + vals[tid] = FLOAT_TYPE(0.0f); + + [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { + const uint col = col0 + tid; + + if (col >= p.KX) { + break; + } + + const uint i = rowx * p.KX + col; + const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val); + vals[tid] += val; + data_d[i] = D_TYPE(val); + } + + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + vals[tid] += vals[tid + s]; + } + barrier(); + } + + const D_TYPE divisor = D_TYPE(vals[0]); + + [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) { + const uint col = col0 + tid; + + if (col >= p.KX) { + break; + } + + data_d[rowx*p.KX + col] /= divisor; + } +} diff --git a/vulkan-shaders/square.comp b/vulkan-shaders/square.comp new file mode 100644 index 000000000..8dd19333d --- /dev/null +++ b/vulkan-shaders/square.comp @@ -0,0 +1,13 @@ +#version 450 + +#include "types.comp" +#include "generic_unary_head.comp" + +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { + return; + } + + const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]); + data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val * val); +} diff --git a/vulkan-shaders/sum_rows.comp b/vulkan-shaders/sum_rows.comp new file mode 100644 index 000000000..ce2f1e2f3 --- /dev/null +++ b/vulkan-shaders/sum_rows.comp @@ -0,0 +1,37 @@ +#version 450 + +#include "generic_head.comp" +#include "types.comp" + +#extension GL_EXT_control_flow_attributes : enable +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +layout (constant_id = 0) const uint BLOCK_SIZE = 32; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint row = gl_WorkGroupID.x; + const uint col = gl_LocalInvocationID.x; + + tmp[col] = FLOAT_TYPE(0.0f); + + for (uint i = col; i < p.KX; i += BLOCK_SIZE) { + tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]); + } + + barrier(); + [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) { + if (col < s) { + tmp[col] += tmp[col + s]; + } + barrier(); + } + + if (col == 0) { + data_d[row] = D_TYPE(tmp[0]); + } +} diff --git a/vulkan-shaders/types.comp b/vulkan-shaders/types.comp new file mode 100644 index 000000000..815fcbecd --- /dev/null +++ b/vulkan-shaders/types.comp @@ -0,0 +1,179 @@ +#if !defined(DATA_A_F32) && !defined(DATA_A_F16) +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +#endif + +#if defined(DATA_A_F32) +#define QUANT_K 1 +#define QUANT_R 1 + +#ifndef LOAD_VEC_A +#define A_TYPE float +#elif LOAD_VEC_A == 4 +#define A_TYPE vec4 +#elif LOAD_VEC_A == 8 +#define A_TYPE mat2x4 +#endif +#endif + +#if defined(DATA_A_F16) +#define QUANT_K 1 +#define QUANT_R 1 + +#ifndef LOAD_VEC_A +#define A_TYPE float16_t +#elif LOAD_VEC_A == 4 +#define A_TYPE f16vec4 +#elif LOAD_VEC_A == 8 +#define A_TYPE f16mat2x4 +#endif +#endif + +#if defined(DATA_A_Q4_0) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_0 +#endif + +#if defined(DATA_A_Q4_1) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_1 +{ + float16_t d; + float16_t m; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_1 +#endif + +#if defined(DATA_A_Q5_0) +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_0 +{ + float16_t d; + uint16_t qh[2]; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_0 +#endif + +#if defined(DATA_A_Q5_1) +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_1 +{ + float16_t d; + float16_t m; + uint qh; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_1 +#endif + +#if defined(DATA_A_Q8_0) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 32 +#define QUANT_R 1 + +struct block_q8_0 +{ + float16_t d; + int8_t qs[32]; +}; + +#define A_TYPE block_q8_0 +#endif + +// K-quants +#if defined(DATA_A_Q2_K) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 256 + +struct block_q2_K +{ + uint8_t scales[QUANT_K/16]; + uint8_t qs[QUANT_K/4]; + f16vec2 d; +}; + +#define A_TYPE block_q2_K +#endif + +#if defined(DATA_A_Q3_K) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 256 + +struct block_q3_K +{ + uint8_t hmask[QUANT_K/8]; + uint8_t qs[QUANT_K/4]; + uint8_t scales[12]; + float16_t d; +}; + +#define A_TYPE block_q3_K +#endif + +#if defined(DATA_A_Q4_K) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 256 + +struct block_q4_K +{ + f16vec2 d; + uint8_t scales[3*QUANT_K/64]; + uint8_t qs[QUANT_K/2]; +}; + +#define A_TYPE block_q4_K +#endif + +#if defined(DATA_A_Q5_K) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 256 + +struct block_q5_K +{ + f16vec2 d; + uint8_t scales[12]; + uint8_t qh[QUANT_K/8]; + uint8_t qs[QUANT_K/2]; +}; + +#define A_TYPE block_q5_K +#endif + +#if defined(DATA_A_Q6_K) +#extension GL_EXT_shader_16bit_storage : require +#define QUANT_K 256 + +struct block_q6_K +{ + uint8_t ql[QUANT_K/2]; + uint8_t qh[QUANT_K/4]; + int8_t scales[QUANT_K/16]; + float16_t d; +}; + +#define A_TYPE block_q6_K +#endif From c8a82194a888f68f259e0d0fa96f3332ac7c5cb6 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 16 Jun 2024 10:46:51 +0300 Subject: [PATCH 02/59] github : update pr template --- .github/pull_request_template.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index e6d032d87..997c6d9d0 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -1,5 +1,7 @@ -- Self Reported Review Complexity: - - [ ] Review Complexity : Low - - [ ] Review Complexity : Medium - - [ ] Review Complexity : High -- [ ] I have read the [contributing guidelines](https://github.com/ggerganov/llama.cpp/blob/master/CONTRIBUTING.md) + + +- [x] I have read the [contributing guidelines](https://github.com/ggerganov/llama.cpp/blob/master/CONTRIBUTING.md) +- Self-reported review complexity: + - [ ] Low + - [ ] Medium + - [ ] High From cddaf028adc738b5a7ecc60809cb78e0ba0f97c1 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 16 Jun 2024 14:50:12 +0300 Subject: [PATCH 03/59] ggml : fix handling of zero blocks in IQ quants (#7955) ggml-ci --- ggml-quants.c | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ggml-quants.c b/ggml-quants.c index 9f864e5c4..84b2f30e5 100644 --- a/ggml-quants.c +++ b/ggml-quants.c @@ -13139,7 +13139,7 @@ static int iq1_find_best_neighbour(const uint16_t * restrict neighbours, const u const float * restrict xval, const float * restrict weight, float * scale, int8_t * restrict L, int ngrid) { int num_neighbors = neighbours[0]; GGML_ASSERT(num_neighbors > 0); - float best_score = 0; + float best_score = -FLT_MAX; int grid_index = -1; for (int j = 1; j <= num_neighbors; ++j) { const int8_t * pg = (const int8_t *)(grid + neighbours[j]); @@ -13337,7 +13337,7 @@ static void quantize_row_iq1_s_impl(const float * restrict x, void * restrict vy sumw[j+1] = sumw[j] + weight[i]; } } - float best_score = 0, scale = max; + float best_score = -FLT_MIN, scale = max; int besti1 = -1, besti2 = -1, best_shift = 0; for (int i1 = 0; i1 <= block_size; ++i1) { for (int i2 = i1; i2 <= block_size; ++i2) { @@ -13513,7 +13513,7 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy idx[2*j] = j; } qsort(pairs, block_size, 2*sizeof(float), iq1_sort_helper); - float best_score = 0, scale = max; + float best_score = -FLT_MIN, scale = max; int besti1 = -1, besti2 = -1, best_k = -1; // 0: +, + // 1: +, - From 6fe1c627413725ddc1f9e323f6b13fe388c53e0a Mon Sep 17 00:00:00 2001 From: hopkins385 <98618192+hopkins385@users.noreply.github.com> Date: Sun, 16 Jun 2024 13:51:18 +0200 Subject: [PATCH 04/59] readme : update UI list [no ci] (#7958) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 6c24135d6..fd75a64ba 100644 --- a/README.md +++ b/README.md @@ -195,6 +195,7 @@ Unless otherwise noted these projects are open-source with permissive licensing: - [cztomsik/ava](https://github.com/cztomsik/ava) (MIT) - [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal) - [pythops/tenere](https://github.com/pythops/tenere) (AGPL) +- [RAGNA Desktop](https://ragna.app/) (proprietary) - [RecurseChat](https://recurse.chat/) (proprietary) - [semperai/amica](https://github.com/semperai/amica) - [withcatai/catai](https://github.com/withcatai/catai) From 52399254b3bceda279b4ea9111a983e32310166e Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 16 Jun 2024 14:51:40 +0300 Subject: [PATCH 05/59] unicode : avoid char32_t (#7957) ggml-ci --- llama.cpp | 2 +- unicode.cpp | 22 +++++++++++----------- unicode.h | 2 +- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/llama.cpp b/llama.cpp index 3bf9b6685..bd4f8ec18 100644 --- a/llama.cpp +++ b/llama.cpp @@ -13246,7 +13246,7 @@ struct llm_tokenizer_wpm { const std::vector cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text)); std::vector words(1, ""); - for (const char32_t cpt : cpts_nfd) { + for (const uint32_t cpt : cpts_nfd) { const auto flags = unicode_cpt_flags(cpt); if (flags.is_whitespace) { diff --git a/unicode.cpp b/unicode.cpp index 056a4c741..2f8d73832 100644 --- a/unicode.cpp +++ b/unicode.cpp @@ -226,7 +226,7 @@ static std::vector unicode_regex_split_custom_gpt2(const std::string & t assert(offset_end <= cpts.size()); start = offset_end; - auto _get_cpt = [&] (const size_t pos) -> char32_t { + auto _get_cpt = [&] (const size_t pos) -> uint32_t { return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0; }; @@ -253,18 +253,18 @@ static std::vector unicode_regex_split_custom_gpt2(const std::string & t }; for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) { - const char32_t cpt = _get_cpt(pos); + const uint32_t cpt = _get_cpt(pos); const auto flags = _get_flags(pos); // regex: 's|'t|'re|'ve|'m|'ll|'d if (cpt == '\'' && pos+1 < offset_end) { - char32_t cpt_next = _get_cpt(pos+1); + uint32_t cpt_next = _get_cpt(pos+1); if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') { pos += _add_token(pos+2); continue; } if (pos+2 < offset_end) { - char32_t cpt_next_next = _get_cpt(pos+2); + uint32_t cpt_next_next = _get_cpt(pos+2); if ((cpt_next == 'r' && cpt_next_next == 'e') || (cpt_next == 'v' && cpt_next_next == 'e') || (cpt_next == 'l' && cpt_next_next == 'l')) { @@ -344,7 +344,7 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & assert(offset_end <= cpts.size()); start = offset_end; - auto _get_cpt = [&] (const size_t pos) -> char32_t { + auto _get_cpt = [&] (const size_t pos) -> uint32_t { return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0; }; @@ -371,18 +371,18 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & }; for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) { - const char32_t cpt = _get_cpt(pos); + const uint32_t cpt = _get_cpt(pos); const auto flags = _get_flags(pos); // regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive if (cpt == '\'' && pos+1 < offset_end) { - char32_t cpt_next = unicode_tolower(_get_cpt(pos+1)); + uint32_t cpt_next = unicode_tolower(_get_cpt(pos+1)); if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') { pos += _add_token(pos+2); continue; } if (pos+2 < offset_end) { - char32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2)); + uint32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2)); if ((cpt_next == 'r' && cpt_next_next == 'e') || (cpt_next == 'v' && cpt_next_next == 'e') || (cpt_next == 'l' && cpt_next_next == 'l')) { @@ -424,7 +424,7 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) { flags2 = _get_flags(++pos); } - char32_t cpt2 = _get_cpt(pos); + uint32_t cpt2 = _get_cpt(pos); while (cpt2 == '\r' || cpt2 == '\n') { cpt2 = _get_cpt(++pos); } @@ -435,7 +435,7 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & size_t num_whitespaces = 0; size_t last_end_r_or_n = 0; while (_get_flags(pos+num_whitespaces).is_whitespace) { - char32_t cpt2 = _get_cpt(pos+num_whitespaces); + uint32_t cpt2 = _get_cpt(pos+num_whitespaces); if (cpt2 == '\r' || cpt2 == '\n') { last_end_r_or_n = pos + num_whitespaces + 1; } @@ -626,7 +626,7 @@ uint8_t unicode_utf8_to_byte(const std::string & utf8) { return map.at(utf8); } -char32_t unicode_tolower(char32_t cp) { +uint32_t unicode_tolower(uint32_t cp) { auto it = unicode_map_lowercase.find(cp); return it == unicode_map_lowercase.end() ? cp : it->second; } diff --git a/unicode.h b/unicode.h index 7513be4ad..6c488970a 100644 --- a/unicode.h +++ b/unicode.h @@ -58,6 +58,6 @@ codepoint_flags unicode_cpt_flags(const std::string & utf8); std::string unicode_byte_to_utf8(uint8_t byte); uint8_t unicode_utf8_to_byte(const std::string & utf8); -char32_t unicode_tolower(char32_t cp); +uint32_t unicode_tolower(uint32_t cp); std::vector unicode_regex_split(const std::string & text, const std::vector & regex_exprs); From bc6c457fa35f6791e9a2bb61108e7d49e8fc98bd Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 16 Jun 2024 19:16:21 +0300 Subject: [PATCH 06/59] flake.lock: Update (#7951) --- flake.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/flake.lock b/flake.lock index 7272e65fa..5278fb68a 100644 --- a/flake.lock +++ b/flake.lock @@ -20,11 +20,11 @@ }, "nixpkgs": { "locked": { - "lastModified": 1717786204, - "narHash": "sha256-4q0s6m0GUcN7q+Y2DqD27iLvbcd1G50T2lv08kKxkSI=", + "lastModified": 1718318537, + "narHash": "sha256-4Zu0RYRcAY/VWuu6awwq4opuiD//ahpc2aFHg2CWqFY=", "owner": "NixOS", "repo": "nixpkgs", - "rev": "051f920625ab5aabe37c920346e3e69d7d34400e", + "rev": "e9ee548d90ff586a6471b4ae80ae9cfcbceb3420", "type": "github" }, "original": { From 398105ff4373eea385ea8e8625cb417b2ae51134 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 16 Jun 2024 10:51:18 +0200 Subject: [PATCH 07/59] ggml : remove duplicate include of ggml-common.h (ggml/853) Signed-off-by: Daniel Bevenius --- ggml-quants.c | 2 -- 1 file changed, 2 deletions(-) diff --git a/ggml-quants.c b/ggml-quants.c index 84b2f30e5..678adae16 100644 --- a/ggml-quants.c +++ b/ggml-quants.c @@ -4,8 +4,6 @@ #include "ggml-quants.h" #include "ggml-impl.h" -#define GGML_COMMON_IMPL_C -#include "ggml-common.h" #include #include From b5fcf8ef5c29df53cfff60e180b4992a3b2332a6 Mon Sep 17 00:00:00 2001 From: Hong Bo PENG Date: Sun, 16 Jun 2024 16:53:11 +0800 Subject: [PATCH 08/59] ggml : fix and optimize ppc64le (ggml/849) * fix compile issues introduced by loongarch_asx * restore quant changes to merge * fix compile issues introduced by loongarch_asx * further optimize by using vec_msum & vec_sum4s on ppc64le --- ggml-quants.c | 639 ++++++++++++++++++++++---------------------------- 1 file changed, 279 insertions(+), 360 deletions(-) diff --git a/ggml-quants.c b/ggml-quants.c index 678adae16..0b346c11e 100644 --- a/ggml-quants.c +++ b/ggml-quants.c @@ -1076,6 +1076,7 @@ void quantize_row_q8_0(const float * restrict x, void * restrict vy, int64_t k) } vec_xst(vec_pack(vec_pack(vi[0], vi[1]), vec_pack(vi[2], vi[3])), 0, &y[i].qs[0]); vec_xst(vec_pack(vec_pack(vi[4], vi[5]), vec_pack(vi[6], vi[7])), 16, &y[i].qs[0]); + } #elif defined(__loongarch_asx) for (int i = 0; i < nb; i++) { @@ -1435,6 +1436,7 @@ void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k) accv = vec_add(accv, vec_sld(accv, accv, 4)); accv = vec_add(accv, vec_sld(accv, accv, 8)); y[i].s = GGML_FP32_TO_FP16(d * vec_extract(accv, 0)); + } #elif defined(__loongarch_asx) for (int i = 0; i < nb; i++) { @@ -4111,12 +4113,13 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed int v0 = vec_splats((int32_t)0); const vector unsigned char v4 = vec_splats((unsigned char)0x4); const vector signed char v8 = vec_splats((signed char)0x8); vector float vsumf0 = vec_splats(0.0f); -#pragma GCC unroll 4 +#pragma GCC unroll 8 for (int i = 0; i < nb; i++) { __builtin_prefetch(x[i].qs, 0, 1); __builtin_prefetch(y[i].qs, 0, 1); @@ -4138,9 +4141,10 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0)); vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1)); - qv0 = vec_add(qv0, qv1); + vector signed int vsumi0 = v0; - vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0)); + vsumi0 = vec_sum4s(qv0, vsumi0); + vsumi0 = vec_sum4s(qv1, vsumi0); vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); } @@ -4514,6 +4518,7 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed int v0 = vec_splats((int32_t)0); const vector unsigned char v4 = vec_splats((unsigned char)0x4); vector float vsumf0 = vec_splats(0.0f); @@ -4535,15 +4540,13 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r vector signed char q8y0 = vec_xl( 0, y[i].qs); vector signed char q8y1 = vec_xl(16, y[i].qs); - vector signed char q4x0 = vec_and(qxs, lowMask); - vector signed char q4x1 = vec_sr(qxs, v4); + vector unsigned char q4x0 = (vector unsigned char)vec_and(qxs, lowMask); + vector unsigned char q4x1 = (vector unsigned char)vec_sr(qxs, v4); - vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0)); - vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1)); + vector signed int vsumi0 = v0; - qv0 = vec_add(qv0, qv1); - - vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0)); + vsumi0 = vec_msum(q8y0, q4x0, vsumi0); + vsumi0 = vec_msum(q8y1, q4x1, vsumi0); vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); } @@ -5245,6 +5248,7 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed int v0 = vec_splats((int32_t)0); const vector unsigned char v4 = vec_splats((unsigned char)0x4); vector float vsumf0 = vec_splats(0.0f); @@ -5270,18 +5274,16 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs); - vector signed char q5x0 = vec_or(vec_and(qxs, lowMask), qh0); - vector signed char q5x1 = vec_or(vec_sr(qxs, v4), qh1); + vector unsigned char q5x0 = (vector unsigned char)vec_or(vec_and(qxs, lowMask), qh0); + vector unsigned char q5x1 = (vector unsigned char)vec_or(vec_sr(qxs, v4), qh1); vector signed char q8y0 = vec_xl( 0, y[i].qs); vector signed char q8y1 = vec_xl( 16, y[i].qs); - vector signed short qv0 = vec_add(vec_mule(q5x0, q8y0), vec_mulo(q5x0, q8y0)); - vector signed short qv1 = vec_add(vec_mule(q5x1, q8y1), vec_mulo(q5x1, q8y1)); + vector signed int vsumi0 = v0; - qv0 = vec_add(qv0, qv1); - - vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0)); + vsumi0 = vec_msum(q8y0, q5x0, vsumi0); + vsumi0 = vec_msum(q8y1, q5x1, vsumi0); vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); } @@ -5521,9 +5523,10 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r *s = sumf; #elif defined(__POWER9_VECTOR__) + const vector signed int v0 = vec_splats((int32_t)0); vector float vsumf0 = vec_splats(0.0f); -#pragma GCC unroll 4 +#pragma GCC unroll 8 for (int i = 0; i < nb; i++) { __builtin_prefetch(x[i].qs, 0, 1); __builtin_prefetch(y[i].qs, 0, 1); @@ -5542,13 +5545,13 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r vector signed short qv2 = vec_mule(q8x1, q8y1); vector signed short qv3 = vec_mulo(q8x1, q8y1); - vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackh(qv1)); - vector signed int vsumi1 = vec_add(vec_unpackl(qv0), vec_unpackl(qv1)); - vector signed int vsumi2 = vec_add(vec_unpackh(qv2), vec_unpackh(qv3)); - vector signed int vsumi3 = vec_add(vec_unpackl(qv2), vec_unpackl(qv3)); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; - vsumi0 = vec_add(vsumi0, vsumi2); - vsumi1 = vec_add(vsumi1, vsumi3); + vsumi0 = vec_sum4s(qv0, vsumi0); + vsumi1 = vec_sum4s(qv1, vsumi1); + vsumi0 = vec_sum4s(qv2, vsumi0); + vsumi1 = vec_sum4s(qv3, vsumi1); vsumi0 = vec_add(vsumi0, vsumi1); @@ -5936,6 +5939,7 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0x3); const vector signed char lowScaleMask = vec_splats((signed char)0xF); + const vector int v0 = vec_splats((int32_t)0); const vector unsigned char v2 = vec_splats((unsigned char)0x2); const vector unsigned char v6 = vec_splats((unsigned char)0x6); const vector unsigned char v4 = vec_splats((unsigned char)0x4); @@ -5973,15 +5977,17 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2); vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; + vector signed int vsumi4 = v0; + vector signed int vsumi5 = v0; + vector signed int vsumi6 = v0; + vector signed int vsumi7 = v0; + const uint8_t * restrict q2 = x[i].qs; + const int8_t * restrict q8 = y[i].qs; for (int j = 0; j < QK_K/128; ++j) { __builtin_prefetch(q2, 0, 1); @@ -5991,14 +5997,14 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char qxs1 = (vector signed char)vec_xl(16, q2); q2 += 32; - vector signed char q2x00 = vec_and(qxs0, lowMask); - vector signed char q2x01 = vec_and(vec_sr(qxs0, v2), lowMask); - vector signed char q2x02 = vec_and(vec_sr(qxs0, v4), lowMask); - vector signed char q2x03 = vec_and(vec_sr(qxs0, v6), lowMask); - vector signed char q2x10 = vec_and(qxs1, lowMask); - vector signed char q2x11 = vec_and(vec_sr(qxs1, v2), lowMask); - vector signed char q2x12 = vec_and(vec_sr(qxs1, v4), lowMask); - vector signed char q2x13 = vec_and(vec_sr(qxs1, v6), lowMask); + vector unsigned char q2x00 = (vector unsigned char)vec_and(qxs0, lowMask); + vector unsigned char q2x01 = (vector unsigned char)vec_and(vec_sr(qxs0, v2), lowMask); + vector unsigned char q2x02 = (vector unsigned char)vec_and(vec_sr(qxs0, v4), lowMask); + vector unsigned char q2x03 = (vector unsigned char)vec_and(vec_sr(qxs0, v6), lowMask); + vector unsigned char q2x10 = (vector unsigned char)vec_and(qxs1, lowMask); + vector unsigned char q2x11 = (vector unsigned char)vec_and(vec_sr(qxs1, v2), lowMask); + vector unsigned char q2x12 = (vector unsigned char)vec_and(vec_sr(qxs1, v4), lowMask); + vector unsigned char q2x13 = (vector unsigned char)vec_and(vec_sr(qxs1, v6), lowMask); vector signed char q8y00 = vec_xl( 0, q8); vector signed char q8y10 = vec_xl( 16, q8); @@ -6010,45 +6016,36 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char q8y13 = vec_xl(112, q8); q8 += 128; - vector signed short qv0 = vec_add(vec_mule(q2x00, q8y00), vec_mulo(q2x00, q8y00)); - vector signed short qv1 = vec_add(vec_mule(q2x01, q8y01), vec_mulo(q2x01, q8y01)); - vector signed short qv2 = vec_add(vec_mule(q2x02, q8y02), vec_mulo(q2x02, q8y02)); - vector signed short qv3 = vec_add(vec_mule(q2x03, q8y03), vec_mulo(q2x03, q8y03)); - vector signed short qv4 = vec_add(vec_mule(q2x10, q8y10), vec_mulo(q2x10, q8y10)); - vector signed short qv5 = vec_add(vec_mule(q2x11, q8y11), vec_mulo(q2x11, q8y11)); - vector signed short qv6 = vec_add(vec_mule(q2x12, q8y12), vec_mulo(q2x12, q8y12)); - vector signed short qv7 = vec_add(vec_mule(q2x13, q8y13), vec_mulo(q2x13, q8y13)); + vector signed int qv0 = vec_msum(q8y00, q2x00, v0); + vector signed int qv1 = vec_msum(q8y01, q2x01, v0); + vector signed int qv2 = vec_msum(q8y02, q2x02, v0); + vector signed int qv3 = vec_msum(q8y03, q2x03, v0); + vector signed int qv4 = vec_msum(q8y10, q2x10, v0); + vector signed int qv5 = vec_msum(q8y11, q2x11, v0); + vector signed int qv6 = vec_msum(q8y12, q2x12, v0); + vector signed int qv7 = vec_msum(q8y13, q2x13, v0); - vector signed short vscales_h = vec_unpackh(vscales); - vector signed short vs0 = vec_splat(vscales_h, 0); - vector signed short vs1 = vec_splat(vscales_h, 1); - vector signed short vs2 = vec_splat(vscales_h, 2); - vector signed short vs3 = vec_splat(vscales_h, 3); - vector signed short vs4 = vec_splat(vscales_h, 4); - vector signed short vs5 = vec_splat(vscales_h, 5); - vector signed short vs6 = vec_splat(vscales_h, 6); - vector signed short vs7 = vec_splat(vscales_h, 7); + vector signed short vscales_07 = vec_unpackh(vscales); + vector signed int vscales_03 = vec_unpackh(vscales_07); + vector signed int vscales_47 = vec_unpackl(vscales_07); + vector signed int vs0 = vec_splat(vscales_03, 0); + vector signed int vs1 = vec_splat(vscales_03, 1); + vector signed int vs2 = vec_splat(vscales_03, 2); + vector signed int vs3 = vec_splat(vscales_03, 3); + vector signed int vs4 = vec_splat(vscales_47, 0); + vector signed int vs5 = vec_splat(vscales_47, 1); + vector signed int vs6 = vec_splat(vscales_47, 2); + vector signed int vs7 = vec_splat(vscales_47, 3); vscales = vec_sld(vscales, vscales, 8); - qv0 = vec_mul(qv0, vs0); - qv1 = vec_mul(qv1, vs2); - qv2 = vec_mul(qv2, vs4); - qv3 = vec_mul(qv3, vs6); - - qv0 = vec_madd(qv4, vs1, qv0); - qv1 = vec_madd(qv5, vs3, qv1); - qv2 = vec_madd(qv6, vs5, qv2); - qv3 = vec_madd(qv7, vs7, qv3); - - vsumi0 = vec_add(vec_unpackh(qv0), vsumi0); - vsumi1 = vec_add(vec_unpackh(qv1), vsumi1); - vsumi2 = vec_add(vec_unpackh(qv2), vsumi2); - vsumi3 = vec_add(vec_unpackh(qv3), vsumi3); - - vsumi4 = vec_add(vec_unpackl(qv0), vsumi4); - vsumi5 = vec_add(vec_unpackl(qv1), vsumi5); - vsumi6 = vec_add(vec_unpackl(qv2), vsumi6); - vsumi7 = vec_add(vec_unpackl(qv3), vsumi7); + vsumi0 = vec_add(vec_mul(qv0, vs0), vsumi0); + vsumi1 = vec_add(vec_mul(qv1, vs2), vsumi1); + vsumi2 = vec_add(vec_mul(qv2, vs4), vsumi2); + vsumi3 = vec_add(vec_mul(qv3, vs6), vsumi3); + vsumi4 = vec_add(vec_mul(qv4, vs1), vsumi4); + vsumi5 = vec_add(vec_mul(qv5, vs3), vsumi5); + vsumi6 = vec_add(vec_mul(qv6, vs5), vsumi6); + vsumi7 = vec_add(vec_mul(qv7, vs7), vsumi7); } vsumi0 = vec_add(vsumi0, vsumi4); @@ -6639,6 +6636,9 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0x3); + const vector signed char lowMask1 = vec_splats((int8_t)0xf); + const vector signed char lowMask2 = vec_splats((int8_t)0x30); + const vector int v0 = vec_splats((int32_t)0); const vector signed char v1 = vec_splats((signed char)0x1); const vector unsigned char v2 = vec_splats((unsigned char)0x2); const vector unsigned char v3 = vec_splats((unsigned char)0x3); @@ -6656,30 +6656,33 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - uint32_t aux[3]; - uint32_t utmp[4]; + UNUSED(kmask1); + UNUSED(kmask2); - memcpy(aux, x[i].scales, 12); - utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4); - utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4); - utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4); - utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4); + vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8); + vector signed char u1 = vec_and(u0, lowMask1); + vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4); + vector signed char u3 = (vector signed char)vec_mergeh((vector signed int)u2, (vector signed int)vec_sr(u2, v2)); + vector signed char u30 = vec_sl(vec_and(u3, lowMask), v4); + vector signed char u31 = vec_and(u3, lowMask2); - vector signed char vscales = (vector signed char)vec_xl( 0, utmp); + u1 = vec_or(u1, u30); + u2 = vec_or(vec_sr(u0, v4), u31); + + vector signed char vscales = (vector signed char)vec_mergeh((vector signed long long)u1, (vector signed long long)u2); vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].hmask); vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].hmask); vscales = vec_sub(vscales, off); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); - + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; + vector signed int vsumi4 = v0; + vector signed int vsumi5 = v0; + vector signed int vsumi6 = v0; + vector signed int vsumi7 = v0; const uint8_t * restrict q3 = x[i].qs; const int8_t * restrict q8 = y[i].qs; @@ -6753,23 +6756,14 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed short qv12 = vec_add(vec_mule(q3x12, q8y12), vec_mulo(q3x12, q8y12)); vector signed short qv13 = vec_add(vec_mule(q3x13, q8y13), vec_mulo(q3x13, q8y13)); - vector signed int vsum0 = vec_add(vec_mule(qv00, vs0), vec_mulo(qv00, vs0)); - vector signed int vsum1 = vec_add(vec_mule(qv01, vs2), vec_mulo(qv01, vs2)); - vector signed int vsum2 = vec_add(vec_mule(qv02, vs4), vec_mulo(qv02, vs4)); - vector signed int vsum3 = vec_add(vec_mule(qv03, vs6), vec_mulo(qv03, vs6)); - vector signed int vsum4 = vec_add(vec_mule(qv10, vs1), vec_mulo(qv10, vs1)); - vector signed int vsum5 = vec_add(vec_mule(qv11, vs3), vec_mulo(qv11, vs3)); - vector signed int vsum6 = vec_add(vec_mule(qv12, vs5), vec_mulo(qv12, vs5)); - vector signed int vsum7 = vec_add(vec_mule(qv13, vs7), vec_mulo(qv13, vs7)); - - vsumi0 = vec_add(vsum0, vsumi0); - vsumi1 = vec_add(vsum1, vsumi1); - vsumi2 = vec_add(vsum2, vsumi2); - vsumi3 = vec_add(vsum3, vsumi3); - vsumi4 = vec_add(vsum4, vsumi4); - vsumi5 = vec_add(vsum5, vsumi5); - vsumi6 = vec_add(vsum6, vsumi6); - vsumi7 = vec_add(vsum7, vsumi7); + vsumi0 = vec_msum(qv00, vs0, vsumi0); + vsumi1 = vec_msum(qv01, vs2, vsumi1); + vsumi2 = vec_msum(qv02, vs4, vsumi2); + vsumi3 = vec_msum(qv03, vs6, vsumi3); + vsumi4 = vec_msum(qv10, vs1, vsumi4); + vsumi5 = vec_msum(qv11, vs3, vsumi5); + vsumi6 = vec_msum(qv12, vs5, vsumi6); + vsumi7 = vec_msum(qv13, vs7, vsumi7); } vsumi0 = vec_add(vsumi0, vsumi4); @@ -7268,6 +7262,10 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed char lowMask1 = vec_splats((int8_t)0x3f); + const vector signed char lowMask2 = vec_splats((int8_t)0x30); + const vector int v0 = vec_splats((int32_t)0); + const vector unsigned char v2 = vec_splats((uint8_t)2); const vector unsigned char v4 = vec_splats((unsigned char)0x4); vector float vsumf0 = vec_splats(0.0f); @@ -7286,15 +7284,24 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed short q8ysums0 = vec_xl( 0, y[i].bsums); vector signed short q8ysums1 = vec_xl(16, y[i].bsums); - memcpy(utmp, x[i].scales, 12); + UNUSED(kmask1); + UNUSED(kmask2); + UNUSED(kmask3); + UNUSED(utmp); - utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4); - const uint32_t uaux = utmp[1] & kmask1; - utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4); - utmp[2] = uaux; - utmp[0] &= kmask1; + vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8); + vector signed char u1 = vec_and(vec_sr(u0, v2), lowMask2); + vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4); + vector signed char u3 = vec_sr(u2, v4); + + vector signed char u30 = u1; + vector signed char u31 = (vector signed char)vec_mergeh((vector signed int)vec_and(u2, lowMask), (vector signed int)u3); + + u1 = vec_and(u0, lowMask1); + u2 = vec_or(u30, u31); + + vector signed char utmps = (vector signed char)vec_mergeh((vector signed int)u1, (vector signed int)u2); - vector signed char utmps = (vector signed char)vec_xl( 0, utmp); vector signed short vscales = vec_unpackh(utmps); vector signed short q4xmins = vec_unpackl(utmps); vector signed short q4xmins0 = vec_mergeh(q4xmins, q4xmins); @@ -7310,14 +7317,10 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2); vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint8_t * restrict q4 = x[i].qs; const int8_t * restrict q8 = y[i].qs; @@ -7332,14 +7335,14 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char qxs3 = (vector signed char)vec_xl(48, q4); q4 += 64; - vector signed char q4x00 = vec_and(qxs0, lowMask); - vector signed char q4x01 = vec_sr(qxs0, v4); - vector signed char q4x10 = vec_and(qxs1, lowMask); - vector signed char q4x11 = vec_sr(qxs1, v4); - vector signed char q4x20 = vec_and(qxs2, lowMask); - vector signed char q4x21 = vec_sr(qxs2, v4); - vector signed char q4x30 = vec_and(qxs3, lowMask); - vector signed char q4x31 = vec_sr(qxs3, v4); + vector unsigned char q4x00 = (vector unsigned char)vec_and(qxs0, lowMask); + vector unsigned char q4x01 = (vector unsigned char)vec_sr(qxs0, v4); + vector unsigned char q4x10 = (vector unsigned char)vec_and(qxs1, lowMask); + vector unsigned char q4x11 = (vector unsigned char)vec_sr(qxs1, v4); + vector unsigned char q4x20 = (vector unsigned char)vec_and(qxs2, lowMask); + vector unsigned char q4x21 = (vector unsigned char)vec_sr(qxs2, v4); + vector unsigned char q4x30 = (vector unsigned char)vec_and(qxs3, lowMask); + vector unsigned char q4x31 = (vector unsigned char)vec_sr(qxs3, v4); vector signed char q8y00 = vec_xl( 0, q8); vector signed char q8y10 = vec_xl( 16, q8); @@ -7351,41 +7354,33 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char q8y31 = vec_xl(112, q8); q8 += 128; - vector signed short qv00 = vec_add(vec_mule(q4x00, q8y00), vec_mulo(q4x00, q8y00)); - vector signed short qv01 = vec_add(vec_mule(q4x01, q8y01), vec_mulo(q4x01, q8y01)); - vector signed short qv10 = vec_add(vec_mule(q4x10, q8y10), vec_mulo(q4x10, q8y10)); - vector signed short qv11 = vec_add(vec_mule(q4x11, q8y11), vec_mulo(q4x11, q8y11)); - vector signed short qv20 = vec_add(vec_mule(q4x20, q8y20), vec_mulo(q4x20, q8y20)); - vector signed short qv21 = vec_add(vec_mule(q4x21, q8y21), vec_mulo(q4x21, q8y21)); - vector signed short qv30 = vec_add(vec_mule(q4x30, q8y30), vec_mulo(q4x30, q8y30)); - vector signed short qv31 = vec_add(vec_mule(q4x31, q8y31), vec_mulo(q4x31, q8y31)); + vector signed int qv00 = vec_msum(q8y00, q4x00, v0); + vector signed int qv01 = vec_msum(q8y01, q4x01, v0); + vector signed int qv10 = vec_msum(q8y10, q4x10, v0); + vector signed int qv11 = vec_msum(q8y11, q4x11, v0); + vector signed int qv20 = vec_msum(q8y20, q4x20, v0); + vector signed int qv21 = vec_msum(q8y21, q4x21, v0); + vector signed int qv30 = vec_msum(q8y30, q4x30, v0); + vector signed int qv31 = vec_msum(q8y31, q4x31, v0); - vector signed short vs0 = vec_splat(vscales, 0); - vector signed short vs1 = vec_splat(vscales, 1); - vector signed short vs2 = vec_splat(vscales, 2); - vector signed short vs3 = vec_splat(vscales, 3); + vector signed int vscales_h = vec_unpackh(vscales); + vector signed int vs0 = vec_splat(vscales_h, 0); + vector signed int vs1 = vec_splat(vscales_h, 1); + vector signed int vs2 = vec_splat(vscales_h, 2); + vector signed int vs3 = vec_splat(vscales_h, 3); vscales = vec_sld(vscales, vscales, 8); - qv00 = vec_add(qv00, qv10); - qv10 = vec_add(qv01, qv11); - qv20 = vec_add(qv20, qv30); - qv30 = vec_add(qv21, qv31); + vsumi0 = vec_add(vec_mul(qv00, vs0), vsumi0); + vsumi1 = vec_add(vec_mul(qv01, vs1), vsumi1); + vsumi2 = vec_add(vec_mul(qv20, vs2), vsumi2); + vsumi3 = vec_add(vec_mul(qv21, vs3), vsumi3); - vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0); - vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1); - vsumi2 = vec_add(vec_mule(qv10, vs1), vsumi2); - vsumi3 = vec_add(vec_mulo(qv10, vs1), vsumi3); - vsumi4 = vec_add(vec_mule(qv20, vs2), vsumi4); - vsumi5 = vec_add(vec_mulo(qv20, vs2), vsumi5); - vsumi6 = vec_add(vec_mule(qv30, vs3), vsumi6); - vsumi7 = vec_add(vec_mulo(qv30, vs3), vsumi7); + vsumi0 = vec_add(vec_mul(qv10, vs0), vsumi0); + vsumi1 = vec_add(vec_mul(qv11, vs1), vsumi1); + vsumi2 = vec_add(vec_mul(qv30, vs2), vsumi2); + vsumi3 = vec_add(vec_mul(qv31, vs3), vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -7887,6 +7882,9 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed char lowMask1 = vec_splats((int8_t)0x3f); + const vector signed char lowMask2 = vec_splats((int8_t)0x30); + const vector int v0 = vec_splats((int32_t)0); const vector unsigned char v1 = vec_splats((unsigned char)0x1); const vector unsigned char v2 = vec_splats((unsigned char)0x2); const vector unsigned char v3 = vec_splats((unsigned char)0x3); @@ -7905,18 +7903,27 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].dmin)); vector float vdmin = vec_mul(vxmin, vyd); - memcpy(utmp, x[i].scales, 12); + UNUSED(kmask1); + UNUSED(kmask2); + UNUSED(kmask3); + UNUSED(utmp); - utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4); - const uint32_t uaux = utmp[1] & kmask1; - utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4); - utmp[2] = uaux; - utmp[0] &= kmask1; + vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8); + vector signed char u1 = vec_and(vec_sr(u0, v2), lowMask2); + vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4); + vector signed char u3 = vec_sr(u2, v4); + + vector signed char u30 = u1; + vector signed char u31 = (vector signed char)vec_mergeh((vector signed int)vec_and(u2, lowMask), (vector signed int)u3); + + u1 = vec_and(u0, lowMask1); + u2 = vec_or(u30, u31); + + vector signed char utmps = (vector signed char)vec_mergeh((vector signed int)u1, (vector signed int)u2); vector signed short q8ysums0 = vec_xl( 0, y[i].bsums); vector signed short q8ysums1 = vec_xl(16, y[i].bsums); - vector signed char utmps = (vector signed char)vec_xl( 0, utmp); vector signed short vscales = vec_unpackh(utmps); vector signed short q5xmins = vec_unpackl(utmps); @@ -7936,10 +7943,10 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].qh); vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].qh); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint8_t * restrict q5 = x[i].qs; const int8_t * restrict q8 = y[i].qs; @@ -7964,10 +7971,10 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r qxhs0 = vec_sr(qxhs0, v2); qxhs1 = vec_sr(qxhs1, v2); - vector signed char q5x00 = vec_or(q5h00, qxs00); - vector signed char q5x01 = vec_or(q5h01, qxs01); - vector signed char q5x10 = vec_or(q5h10, qxs10); - vector signed char q5x11 = vec_or(q5h11, qxs11); + vector unsigned char q5x00 = (vector unsigned char)vec_or(q5h00, qxs00); + vector unsigned char q5x01 = (vector unsigned char)vec_or(q5h01, qxs01); + vector unsigned char q5x10 = (vector unsigned char)vec_or(q5h10, qxs10); + vector unsigned char q5x11 = (vector unsigned char)vec_or(q5h11, qxs11); vector signed char q8y00 = vec_xl( 0, q8); vector signed char q8y10 = vec_xl(16, q8); @@ -7975,22 +7982,20 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed char q8y11 = vec_xl(48, q8); q8 += 64; - vector signed short qv00 = vec_add(vec_mule(q5x00, q8y00), vec_mulo(q5x00, q8y00)); - vector signed short qv01 = vec_add(vec_mule(q5x01, q8y01), vec_mulo(q5x01, q8y01)); - vector signed short qv10 = vec_add(vec_mule(q5x10, q8y10), vec_mulo(q5x10, q8y10)); - vector signed short qv11 = vec_add(vec_mule(q5x11, q8y11), vec_mulo(q5x11, q8y11)); + vector signed int qv00 = vec_msum(q8y00, q5x00, v0); + vector signed int qv01 = vec_msum(q8y01, q5x01, v0); + vector signed int qv10 = vec_msum(q8y10, q5x10, v0); + vector signed int qv11 = vec_msum(q8y11, q5x11, v0); - vector signed short vs0 = vec_splat(vscales, 0); - vector signed short vs1 = vec_splat(vscales, 1); + vector signed int vscales_h = vec_unpackh(vscales); + vector signed int vs0 = vec_splat(vscales_h, 0); + vector signed int vs1 = vec_splat(vscales_h, 1); vscales = vec_sld(vscales, vscales, 12); - qv00 = vec_add(qv00, qv10); - qv01 = vec_add(qv01, qv11); - - vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0); - vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1); - vsumi2 = vec_add(vec_mule(qv01, vs1), vsumi2); - vsumi3 = vec_add(vec_mulo(qv01, vs1), vsumi3); + vsumi0 = vec_add(vec_mul(qv00, vs0), vsumi0); + vsumi1 = vec_add(vec_mul(qv10, vs0), vsumi1); + vsumi2 = vec_add(vec_mul(qv01, vs1), vsumi2); + vsumi3 = vec_add(vec_mul(qv11, vs1), vsumi3); } vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); @@ -8551,6 +8556,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector int v0 = vec_splats((int32_t)0); const vector unsigned char v2 = vec_splats((unsigned char)0x2); const vector unsigned char v3 = vec_splats((unsigned char)0x3); const vector unsigned char v4 = vec_splats((unsigned char)0x4); @@ -8567,14 +8573,14 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; + vector signed int vsumi4 = v0; + vector signed int vsumi5 = v0; + vector signed int vsumi6 = v0; + vector signed int vsumi7 = v0; const uint8_t * restrict q6 = x[i].ql; const uint8_t * restrict qh = x[i].qh; @@ -8654,23 +8660,14 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r vector signed short vs6 = vec_splat(vscales, 6); vector signed short vs7 = vec_splat(vscales, 7); - vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0); - vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1); - vsumi2 = vec_add(vec_mule(qv01, vs4), vsumi2); - vsumi3 = vec_add(vec_mulo(qv01, vs4), vsumi3); - vsumi4 = vec_add(vec_mule(qv10, vs1), vsumi4); - vsumi5 = vec_add(vec_mulo(qv10, vs1), vsumi5); - vsumi6 = vec_add(vec_mule(qv11, vs5), vsumi6); - vsumi7 = vec_add(vec_mulo(qv11, vs5), vsumi7); - - vsumi0 = vec_add(vec_mule(qv20, vs2), vsumi0); - vsumi1 = vec_add(vec_mulo(qv20, vs2), vsumi1); - vsumi2 = vec_add(vec_mule(qv21, vs6), vsumi2); - vsumi3 = vec_add(vec_mulo(qv21, vs6), vsumi3); - vsumi4 = vec_add(vec_mule(qv30, vs3), vsumi4); - vsumi5 = vec_add(vec_mulo(qv30, vs3), vsumi5); - vsumi6 = vec_add(vec_mule(qv31, vs7), vsumi6); - vsumi7 = vec_add(vec_mulo(qv31, vs7), vsumi7); + vsumi0 = vec_msum(qv00, vs0, vsumi0); + vsumi1 = vec_msum(qv01, vs4, vsumi1); + vsumi2 = vec_msum(qv10, vs1, vsumi2); + vsumi3 = vec_msum(qv11, vs5, vsumi3); + vsumi4 = vec_msum(qv20, vs2, vsumi4); + vsumi5 = vec_msum(qv21, vs6, vsumi5); + vsumi6 = vec_msum(qv30, vs3, vsumi6); + vsumi7 = vec_msum(qv31, vs7, vsumi7); } vsumi0 = vec_add(vsumi0, vsumi4); @@ -8951,6 +8948,7 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void *s = 0.125f * hsum_float_8(accumf); #elif defined(__POWER9_VECTOR__) + const vector int v0 = vec_splats((int32_t)0); vector float vsumf0 = vec_splats(0.0f); vector float vsumf1 = vec_splats(0.0f); vector float vsumf2 = vec_splats(0.0f); @@ -8963,14 +8961,10 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint16_t * restrict q2 = x[i].qs; const int8_t * restrict q8 = y[i].qs; @@ -9017,21 +9011,12 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void vector signed short vscales01 = vec_splats((int16_t)(2*ls0+1)); vector signed short vscales23 = vec_splats((int16_t)(2*ls1+1)); - vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7); + vsumi0 = vec_msum(qv0, vscales01, vsumi0); + vsumi1 = vec_msum(qv1, vscales01, vsumi1); + vsumi2 = vec_msum(qv2, vscales23, vsumi2); + vsumi3 = vec_msum(qv3, vscales23, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -9423,6 +9408,7 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * *s = 0.125f * hsum_float_8(accumf); #elif defined(__POWER9_VECTOR__) + const vector int v0 = vec_splats((int32_t)0); vector float vsumf0 = vec_splats(0.0f); vector float vsumf1 = vec_splats(0.0f); vector float vsumf2 = vec_splats(0.0f); @@ -9435,14 +9421,10 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint16_t * restrict q2 = x[i].qs; const uint8_t * restrict sc = x[i].scales; @@ -9490,21 +9472,12 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1)); vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1)); - vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7); + vsumi0 = vec_msum(qv0, vscales0, vsumi0); + vsumi1 = vec_msum(qv1, vscales1, vsumi1); + vsumi2 = vec_msum(qv2, vscales2, vsumi2); + vsumi3 = vec_msum(qv3, vscales3, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -9727,6 +9700,8 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void * static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,}; + const vector int v0 = vec_splats((int32_t)0); + vector float vsumf0 = vec_splats(0.0f); vector float vsumf1 = vec_splats(0.0f); vector float vsumf2 = vec_splats(0.0f); @@ -9741,14 +9716,10 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void * vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint8_t * restrict q2 = x[i].qs; const uint8_t * restrict qh = x[i].qh; @@ -9808,21 +9779,12 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void * vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1)); vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1)); - vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7); + vsumi0 = vec_msum(qv0, vscales0, vsumi0); + vsumi1 = vec_msum(qv1, vscales1, vsumi1); + vsumi2 = vec_msum(qv2, vscales2, vsumi2); + vsumi3 = vec_msum(qv3, vscales3, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -10060,6 +10022,8 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void #elif defined(__POWER9_VECTOR__) const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + const vector int v0 = vec_splats((int32_t)0); + vector float vsumf0 = vec_splats(0.0f); vector float vsumf1 = vec_splats(0.0f); vector float vsumf2 = vec_splats(0.0f); @@ -10070,14 +10034,10 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void vector float vyd = vec_splats(y[i].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; const uint8_t * restrict q3 = x[i].qs; const uint32_t * restrict signs = (const uint32_t *)(x[i].qs + QK_K/4); @@ -10122,21 +10082,12 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1)); vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1)); - vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7); + vsumi0 = vec_msum(qv0, vscales01, vsumi0); + vsumi1 = vec_msum(qv1, vscales01, vsumi1); + vsumi2 = vec_msum(qv2, vscales23, vsumi2); + vsumi3 = vec_msum(qv3, vscales23, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -10426,6 +10377,8 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,}; + const vector int v0 = vec_splats((int32_t)0); + vector float vsumf0 = vec_splats(0.0f); vector float vsumf1 = vec_splats(0.0f); vector float vsumf2 = vec_splats(0.0f); @@ -10446,14 +10399,10 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * const uint8_t * restrict sc = x[i].scales; const int8_t * restrict q8 = y[i].qs; - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; for (int j = 0; j < QK_K/32; j += 2) { __builtin_prefetch(q3, 0, 1); @@ -10507,21 +10456,12 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1)); vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1)); - vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7); + vsumi0 = vec_msum(qv0, vscales01, vsumi0); + vsumi1 = vec_msum(qv1, vscales01, vsumi1); + vsumi2 = vec_msum(qv2, vscales23, vsumi2); + vsumi3 = vec_msum(qv3, vscales23, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -10802,10 +10742,6 @@ void ggml_vec_dot_iq1_s_q8_K (int n, float * restrict s, size_t bs, const void vector signed int vsumi1 = vec_splats((int32_t)0); vector signed int vsumi2 = vec_splats((int32_t)0); vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); vector signed int vsumi8 = vec_splats((int32_t)0); const uint8_t * restrict q1 = x[i].qs; @@ -10847,14 +10783,10 @@ void ggml_vec_dot_iq1_s_q8_K (int n, float * restrict s, size_t bs, const void vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1)); vector signed short vscales = vec_sld(vscales23, vscales01, 8); - vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7); + vsumi0 = vec_msum(qv0, vscales01, vsumi0); + vsumi1 = vec_msum(qv1, vscales01, vsumi1); + vsumi2 = vec_msum(qv2, vscales23, vsumi2); + vsumi3 = vec_msum(qv3, vscales23, vsumi3); vector signed short q8ysums = vec_xl_len(qs, 8); qs += 4; @@ -10869,11 +10801,6 @@ void ggml_vec_dot_iq1_s_q8_K (int n, float * restrict s, size_t bs, const void vsumi8 = vec_add(vec_mule(q8ysum, vscales), vsumi8); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); @@ -11267,6 +11194,7 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void * #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector signed int v0 = vec_splats((int32_t)0); const vector unsigned char v4 = vec_splats((unsigned char)0x4); vector float vsumf0 = vec_splats(0.0f); @@ -11297,8 +11225,11 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void * vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0)); vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1)); - vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0)); - vector signed int vsumi1 = vec_add(vec_unpackh(qv1), vec_unpackl(qv1)); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + + vsumi0 = vec_sum4s(qv0, vsumi0); + vsumi1 = vec_sum4s(qv1, vsumi1); vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); @@ -11453,6 +11384,7 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void * #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); + const vector int v0 = vec_splats((int32_t)0); const vector unsigned char v4 = vec_splats((unsigned char)0x4); vector float vsumf0 = vec_splats(0.0f); @@ -11468,14 +11400,10 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void * vector float vyd = vec_splats(y[ibl].d); vector float vd = vec_mul(vxd, vyd); - vector signed int vsumi0 = vec_splats((int32_t)0); - vector signed int vsumi1 = vec_splats((int32_t)0); - vector signed int vsumi2 = vec_splats((int32_t)0); - vector signed int vsumi3 = vec_splats((int32_t)0); - vector signed int vsumi4 = vec_splats((int32_t)0); - vector signed int vsumi5 = vec_splats((int32_t)0); - vector signed int vsumi6 = vec_splats((int32_t)0); - vector signed int vsumi7 = vec_splats((int32_t)0); + vector signed int vsumi0 = v0; + vector signed int vsumi1 = v0; + vector signed int vsumi2 = v0; + vector signed int vsumi3 = v0; uint16_t h = x[ibl].scales_h; @@ -11520,21 +11448,12 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void * vector signed short vscales01 = vec_splats((int16_t)ls0); vector signed short vscales23 = vec_splats((int16_t)ls1); - vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0); - vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1); - vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2); - vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3); - vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4); - vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5); - vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6); - vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7); + vsumi0 = vec_msum(qv0, vscales01, vsumi0); + vsumi1 = vec_msum(qv1, vscales01, vsumi1); + vsumi2 = vec_msum(qv2, vscales23, vsumi2); + vsumi3 = vec_msum(qv3, vscales23, vsumi3); } - vsumi0 = vec_add(vsumi0, vsumi4); - vsumi1 = vec_add(vsumi1, vsumi5); - vsumi2 = vec_add(vsumi2, vsumi6); - vsumi3 = vec_add(vsumi3, vsumi7); - vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0); vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1); vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2); From 19b7a836f6658e18e973af532a5cc6ad6b3a27f8 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 11 Jun 2024 17:39:01 +0300 Subject: [PATCH 09/59] cuda : fix bounds check for src0 rows in MMVQ kernel (whisper/2231) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * cuda : fix bounds check for src0 rows in MMVQ kernel * Update ggml-cuda/mmvq.cu Co-authored-by: Johannes Gäßler --------- Co-authored-by: Johannes Gäßler --- ggml-cuda/mmvq.cu | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-cuda/mmvq.cu b/ggml-cuda/mmvq.cu index 5f056e91e..e8d157169 100644 --- a/ggml-cuda/mmvq.cu +++ b/ggml-cuda/mmvq.cu @@ -117,7 +117,7 @@ static __global__ void mul_mat_vec_q( tmp[j][i] = warp_reduce_sum(tmp[j][i]); } - if (threadIdx.x < rows_per_cuda_block) { + if (threadIdx.x < rows_per_cuda_block && (rows_per_cuda_block == 1 || row0 + threadIdx.x < nrows_dst)) { dst[j*nrows_dst + row0 + threadIdx.x] = tmp[j][threadIdx.x]; } } From 43b35e38ba371f9a7faa6dca4c5d1e8f698ffd87 Mon Sep 17 00:00:00 2001 From: Calvin Laurenson Date: Sun, 16 Jun 2024 15:23:04 -0700 Subject: [PATCH 10/59] Add support for sqrt on CUDA (#7953) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * cuda sqrt support * enable cuda in pca * fix comments in pca * add test * add sqrt to ggml_backend_cuda_supports_op * fix test * new line * Use F32 sqrtf instead of F64 sqrt Co-authored-by: Johannes Gäßler --------- Co-authored-by: Johannes Gäßler --- examples/cvector-generator/pca.hpp | 16 ++++++++-------- ggml-cuda.cu | 4 ++++ ggml-cuda/unary.cu | 28 ++++++++++++++++++++++++++++ ggml-cuda/unary.cuh | 3 +++ tests/test-backend-ops.cpp | 28 ++++++++++++++++++++++++++++ 5 files changed, 71 insertions(+), 8 deletions(-) diff --git a/examples/cvector-generator/pca.hpp b/examples/cvector-generator/pca.hpp index 8b95cec37..36eadaac2 100644 --- a/examples/cvector-generator/pca.hpp +++ b/examples/cvector-generator/pca.hpp @@ -64,15 +64,15 @@ struct pca_model { struct ggml_tensor * dev_eigenvector; pca_model(struct ggml_tensor * t_input) { -// TODO: enable GPU support when support for GGML_OP_SQRT is added -// #ifdef GGML_USE_CUDA -// fprintf(stderr, "%s: using CUDA backend\n", __func__); -// backend = ggml_backend_cuda_init(0); // init device 0 -// if (!backend) { -// fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__); -// } -// #endif +#ifdef GGML_USE_CUDA + fprintf(stderr, "%s: using CUDA backend\n", __func__); + backend = ggml_backend_cuda_init(0); // init device 0 + if (!backend) { + fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__); + } +#endif +// TODO: enable Metal support when support for GGML_OP_SQRT is added // #ifdef GGML_USE_METAL // fprintf(stderr, "%s: using Metal backend\n", __func__); // backend = ggml_backend_metal_init(); diff --git a/ggml-cuda.cu b/ggml-cuda.cu index 593fa4cda..b8298ab20 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -2267,6 +2267,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg case GGML_OP_SQR: ggml_cuda_op_sqr(ctx, dst); break; + case GGML_OP_SQRT: + ggml_cuda_op_sqrt(ctx, dst); + break; case GGML_OP_CLAMP: ggml_cuda_op_clamp(ctx, dst); break; @@ -2830,6 +2833,7 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons case GGML_OP_RMS_NORM: case GGML_OP_SCALE: case GGML_OP_SQR: + case GGML_OP_SQRT: case GGML_OP_CLAMP: case GGML_OP_CONT: case GGML_OP_DIAG_MASK_INF: diff --git a/ggml-cuda/unary.cu b/ggml-cuda/unary.cu index a5ff96320..f9e208011 100644 --- a/ggml-cuda/unary.cu +++ b/ggml-cuda/unary.cu @@ -92,6 +92,15 @@ static __global__ void sqr_f32(const float * x, float * dst, const int k) { dst[i] = x[i] * x[i]; } +static __global__ void sqrt_f32(const float * x, float * dst, const int k) { + const int i = blockDim.x*blockIdx.x + threadIdx.x; + + if (i >= k) { + return; + } + dst[i] = sqrtf(x[i]); +} + static void gelu_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { const int num_blocks = (k + CUDA_GELU_BLOCK_SIZE - 1) / CUDA_GELU_BLOCK_SIZE; gelu_f32<<>>(x, dst, k); @@ -142,6 +151,11 @@ static void sqr_f32_cuda(const float * x, float * dst, const int k, cudaStream_t sqr_f32<<>>(x, dst, k); } +static void sqrt_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) { + const int num_blocks = (k + CUDA_SQRT_BLOCK_SIZE - 1) / CUDA_SQRT_BLOCK_SIZE; + sqrt_f32<<>>(x, dst, k); +} + void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; const float * src0_d = (const float *)src0->data; @@ -284,3 +298,17 @@ void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { sqr_f32_cuda(src0_d, dst_d, ggml_nelements(src0), stream); } + +void ggml_cuda_op_sqrt(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { + const ggml_tensor * src0 = dst->src[0]; + const float * src0_d = (const float *)src0->data; + float * dst_d = (float *)dst->data; + cudaStream_t stream = ctx.stream(); + + GGML_ASSERT(ggml_is_contiguous(src0)); + + GGML_ASSERT(src0->type == GGML_TYPE_F32); + GGML_ASSERT( dst->type == GGML_TYPE_F32); + + sqrt_f32_cuda(src0_d, dst_d, ggml_nelements(src0), stream); +} diff --git a/ggml-cuda/unary.cuh b/ggml-cuda/unary.cuh index a1d07c04f..4cfb0479e 100644 --- a/ggml-cuda/unary.cuh +++ b/ggml-cuda/unary.cuh @@ -8,6 +8,7 @@ #define CUDA_HARDSIGMOID_BLOCK_SIZE 256 #define CUDA_HARDSWISH_BLOCK_SIZE 256 #define CUDA_SQR_BLOCK_SIZE 256 +#define CUDA_SQRT_BLOCK_SIZE 256 void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); @@ -28,3 +29,5 @@ void ggml_cuda_op_hardswish(ggml_backend_cuda_context & ctx, ggml_tensor * dst); void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst); + +void ggml_cuda_op_sqrt(ggml_backend_cuda_context & ctx, ggml_tensor * dst); diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 2b48e623e..7c504e937 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -1063,6 +1063,33 @@ struct test_sqr : public test_case { } }; +// GGML_OP_SQRT +struct test_sqrt : public test_case { + const ggml_type type; + const std::array ne; + + std::string vars() override { + return VARS_TO_STR2(type, ne); + } + + test_sqrt(ggml_type type = GGML_TYPE_F32, + std::array ne = {10, 10, 10, 10}) + : type(type), ne(ne) {} + + ggml_tensor * build_graph(ggml_context * ctx) override { + ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data()); + ggml_tensor * out = ggml_sqrt(ctx, a); + return out; + } + + void initialize_tensors(ggml_context * ctx) override { + // fill with positive values + for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + init_tensor_uniform(t, 0.0f, 100.0f); + } + } +}; + // GGML_OP_CLAMP struct test_clamp : public test_case { const ggml_type type; @@ -2200,6 +2227,7 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op } test_cases.emplace_back(new test_sqr()); + test_cases.emplace_back(new test_sqrt()); test_cases.emplace_back(new test_clamp()); test_cases.emplace_back(new test_diag_mask_inf(GGML_TYPE_F32, {10, 10, 1, 1}, 5)); From df68d4fa5dc929217d3e64d673e099d7a417b206 Mon Sep 17 00:00:00 2001 From: Neo Zhang Date: Mon, 17 Jun 2024 11:17:07 +0800 Subject: [PATCH 11/59] [SYCL] Update README-sycl.md for Chapter "Recommended release" and "News" (#7946) * Update README-sycl.md * Update README-sycl.md * Update README-sycl.md * Update README-sycl.md --- README-sycl.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/README-sycl.md b/README-sycl.md index 93b623daf..bd1984706 100644 --- a/README-sycl.md +++ b/README-sycl.md @@ -1,6 +1,7 @@ # llama.cpp for SYCL - [Background](#background) +- [Recommended Release](#recommended-release) - [News](#news) - [OS](#os) - [Hardware](#hardware) @@ -31,8 +32,23 @@ When targeting **Intel CPU**, it is recommended to use llama.cpp for [Intel oneM It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose. +## Recommended Release + +The SYCL backend would be broken by some PRs due to no online CI. + +The following release is verified with good quality: + +|Commit ID|Tag|Release|Verified Platform| +|-|-|-|-| +|fb76ec31a9914b7761c1727303ab30380fd4f05c|b3038 |[llama-b3038-bin-win-sycl-x64.zip](https://github.com/ggerganov/llama.cpp/releases/download/b3038/llama-b3038-bin-win-sycl-x64.zip) |Arc770/Linux/oneAPI 2024.1
MTL Arc GPU/Windows 11/oneAPI 2024.1| + + ## News +- 2024.5 + - Performance is increased: 34 -> 37 tokens/s of llama-2-7b.Q4_0 on Arc770. + - Arch Linux is verified successfully. + - 2024.4 - Support data types: GGML_TYPE_IQ4_NL, GGML_TYPE_IQ4_XS, GGML_TYPE_IQ3_XXS, GGML_TYPE_IQ3_S, GGML_TYPE_IQ2_XXS, GGML_TYPE_IQ2_XS, GGML_TYPE_IQ2_S, GGML_TYPE_IQ1_S, GGML_TYPE_IQ1_M. From 006167aaf6b6aaa4daa52961035f7460af19f469 Mon Sep 17 00:00:00 2001 From: Brian Date: Mon, 17 Jun 2024 15:25:20 +1000 Subject: [PATCH 12/59] gguf-dump.py: add --markdown dump output (#7853) * gguf-dump.py: add --markdown dump output * gguf-dump.py: Add toc * gguf-dump.py: use standard tensor name lookup. Also add tensor ID field * gguf-dump.py: Add tensor overview count * gguf-dump.py: fix array preview * gguf-dump.py: markdownTableWithAlignmentSupport() added * Add type hints and spacing Co-authored-by: compilade * gguf-dump.py: prettyfy dimention * gguf-dump: right align element count * gguf-dump.py: element count autosizing * Apply suggestions from code review Co-authored-by: compilade --------- Co-authored-by: compilade --- gguf-py/scripts/gguf-dump.py | 264 ++++++++++++++++++++++++++++++++++- 1 file changed, 262 insertions(+), 2 deletions(-) diff --git a/gguf-py/scripts/gguf-dump.py b/gguf-py/scripts/gguf-dump.py index 1a37a7b91..92d14d6cd 100755 --- a/gguf-py/scripts/gguf-dump.py +++ b/gguf-py/scripts/gguf-dump.py @@ -14,7 +14,7 @@ import numpy as np if "NO_LOCAL_GGUF" not in os.environ and (Path(__file__).parent.parent.parent / 'gguf-py').exists(): sys.path.insert(0, str(Path(__file__).parent.parent)) -from gguf import GGUFReader, GGUFValueType # noqa: E402 +from gguf import GGUFReader, GGUFValueType, ReaderTensor # noqa: E402 logger = logging.getLogger("gguf-dump") @@ -101,25 +101,285 @@ def dump_metadata_json(reader: GGUFReader, args: argparse.Namespace) -> None: json.dump(result, sys.stdout) +def markdown_table_with_alignment_support(header_map: list[dict[str, str]], data: list[dict[str, Any]]): + # JSON to Markdown table formatting: https://stackoverflow.com/a/72983854/2850957 + + # Alignment Utility Function + def strAlign(padding: int, alignMode: str | None, strVal: str): + if alignMode == 'center': + return strVal.center(padding) + elif alignMode == 'right': + return strVal.rjust(padding - 1) + ' ' + elif alignMode == 'left': + return ' ' + strVal.ljust(padding - 1) + else: # default left + return ' ' + strVal.ljust(padding - 1) + + def dashAlign(padding: int, alignMode: str | None): + if alignMode == 'center': + return ':' + '-' * (padding - 2) + ':' + elif alignMode == 'right': + return '-' * (padding - 1) + ':' + elif alignMode == 'left': + return ':' + '-' * (padding - 1) + else: # default left + return '-' * (padding) + + # Calculate Padding For Each Column Based On Header and Data Length + rowsPadding = {} + for index, columnEntry in enumerate(header_map): + padCount = max([len(str(v)) for d in data for k, v in d.items() if k == columnEntry['key_name']], default=0) + 2 + headerPadCount = len(columnEntry['header_name']) + 2 + rowsPadding[index] = headerPadCount if padCount <= headerPadCount else padCount + + # Render Markdown Header + rows = [] + rows.append('|'.join(strAlign(rowsPadding[index], columnEntry.get('align'), str(columnEntry['header_name'])) for index, columnEntry in enumerate(header_map))) + rows.append('|'.join(dashAlign(rowsPadding[index], columnEntry.get('align')) for index, columnEntry in enumerate(header_map))) + + # Render Tabular Data + for item in data: + rows.append('|'.join(strAlign(rowsPadding[index], columnEntry.get('align'), str(item[columnEntry['key_name']])) for index, columnEntry in enumerate(header_map))) + + # Convert Tabular String Rows Into String + tableString = "" + for row in rows: + tableString += f'|{row}|\n' + + return tableString + + +def element_count_rounded_notation(count: int) -> str: + if count > 1e15 : + # Quadrillion + scaled_amount = count * 1e-15 + scale_suffix = "Q" + elif count > 1e12 : + # Trillions + scaled_amount = count * 1e-12 + scale_suffix = "T" + elif count > 1e9 : + # Billions + scaled_amount = count * 1e-9 + scale_suffix = "B" + elif count > 1e6 : + # Millions + scaled_amount = count * 1e-6 + scale_suffix = "M" + elif count > 1e3 : + # Thousands + scaled_amount = count * 1e-3 + scale_suffix = "K" + else: + # Under Thousands + scaled_amount = count + scale_suffix = "" + return f"{'~' if count > 1e3 else ''}{round(scaled_amount)}{scale_suffix}" + + +def translate_tensor_name(name): + words = name.split(".") + + # Source: https://github.com/ggerganov/ggml/blob/master/docs/gguf.md#standardized-tensor-names + abbreviation_dictionary = { + 'token_embd': 'Token embedding', + 'pos_embd': 'Position embedding', + 'output_norm': 'Output normalization', + 'output': 'Output', + 'attn_norm': 'Attention normalization', + 'attn_norm_2': 'Attention normalization', + 'attn_qkv': 'Attention query-key-value', + 'attn_q': 'Attention query', + 'attn_k': 'Attention key', + 'attn_v': 'Attention value', + 'attn_output': 'Attention output', + 'ffn_norm': 'Feed-forward network normalization', + 'ffn_up': 'Feed-forward network "up"', + 'ffn_gate': 'Feed-forward network "gate"', + 'ffn_down': 'Feed-forward network "down"', + 'ffn_gate_inp': 'Expert-routing layer for the Feed-forward network in Mixture of Expert models', + 'ffn_gate_exp': 'Feed-forward network "gate" layer per expert in Mixture of Expert models', + 'ffn_down_exp': 'Feed-forward network "down" layer per expert in Mixture of Expert models', + 'ffn_up_exp': 'Feed-forward network "up" layer per expert in Mixture of Expert models', + 'ssm_in': 'State space model input projections', + 'ssm_conv1d': 'State space model rolling/shift', + 'ssm_x': 'State space model selective parametrization', + 'ssm_a': 'State space model state compression', + 'ssm_d': 'State space model skip connection', + 'ssm_dt': 'State space model time step', + 'ssm_out': 'State space model output projection', + 'blk': 'Block' + } + + expanded_words = [] + for word in words: + word_norm = word.strip().lower() + if word_norm in abbreviation_dictionary: + expanded_words.append(abbreviation_dictionary[word_norm].title()) + else: + expanded_words.append(word.title()) + + return ' '.join(expanded_words) + + +def dump_markdown_metadata(reader: GGUFReader, args: argparse.Namespace) -> None: + host_endian, file_endian = get_file_host_endian(reader) + markdown_content = "" + markdown_content += f'# {args.model} - GGUF Internal File Dump\n\n' + markdown_content += f'- Endian: {file_endian} endian\n' + markdown_content += '\n' + markdown_content += '## Key Value Metadata Store\n\n' + markdown_content += f'There are {len(reader.fields)} key-value pairs in this file\n' + markdown_content += '\n' + + kv_dump_table: list[dict[str, str | int]] = [] + for n, field in enumerate(reader.fields.values(), 1): + if not field.types: + pretty_type = 'N/A' + elif field.types[0] == GGUFValueType.ARRAY: + nest_count = len(field.types) - 1 + pretty_type = '[' * nest_count + str(field.types[-1].name) + ']' * nest_count + else: + pretty_type = str(field.types[-1].name) + + total_elements = len(field.data) + value = "" + if len(field.types) == 1: + curr_type = field.types[0] + if curr_type == GGUFValueType.STRING: + value = repr(str(bytes(field.parts[-1]), encoding='utf-8')[:60]) + elif curr_type in reader.gguf_scalar_to_np: + value = str(field.parts[-1][0]) + else: + if field.types[0] == GGUFValueType.ARRAY: + curr_type = field.types[1] + if curr_type == GGUFValueType.STRING: + render_element = min(5, total_elements) + for element_pos in range(render_element): + value += repr(str(bytes(field.parts[-1 - element_pos]), encoding='utf-8')[:5]) + (", " if total_elements > 1 else "") + elif curr_type in reader.gguf_scalar_to_np: + render_element = min(7, total_elements) + for element_pos in range(render_element): + value += str(field.parts[-1 - element_pos][0]) + (", " if total_elements > 1 else "") + value = f'[ {value}{" ..." if total_elements > 1 else ""} ]' + kv_dump_table.append({"n":n, "pretty_type":pretty_type, "total_elements":total_elements, "field_name":field.name, "value":value}) + + kv_dump_table_header_map = [ + {'key_name':'n', 'header_name':'POS', 'align':'right'}, + {'key_name':'pretty_type', 'header_name':'TYPE', 'align':'left'}, + {'key_name':'total_elements', 'header_name':'Count', 'align':'right'}, + {'key_name':'field_name', 'header_name':'Key', 'align':'left'}, + {'key_name':'value', 'header_name':'Value', 'align':'left'}, + ] + + markdown_content += markdown_table_with_alignment_support(kv_dump_table_header_map, kv_dump_table) + + markdown_content += "\n" + + if not args.no_tensors: + # Group tensors by their prefix and maintain order + tensor_prefix_order: list[str] = [] + tensor_name_to_key: dict[str, int] = {} + tensor_groups: dict[str, list[ReaderTensor]] = {} + total_elements = sum(tensor.n_elements for tensor in reader.tensors) + + # Parsing Tensors Record + for key, tensor in enumerate(reader.tensors): + tensor_components = tensor.name.split('.') + + # Classify Tensor Group + tensor_group_name = "base" + if tensor_components[0] == 'blk': + tensor_group_name = f"{tensor_components[0]}.{tensor_components[1]}" + + # Check if new Tensor Group + if tensor_group_name not in tensor_groups: + tensor_groups[tensor_group_name] = [] + tensor_prefix_order.append(tensor_group_name) + + # Record Tensor and Tensor Position + tensor_groups[tensor_group_name].append(tensor) + tensor_name_to_key[tensor.name] = key + + # Tensors Mapping Dump + markdown_content += f'## Tensors Overview {element_count_rounded_notation(total_elements)} Elements\n\n' + markdown_content += f'Total number of elements in all tensors: {total_elements} Elements\n' + markdown_content += '\n' + + for group in tensor_prefix_order: + tensors = tensor_groups[group] + group_elements = sum(tensor.n_elements for tensor in tensors) + markdown_content += f"- [{translate_tensor_name(group)} Tensor Group - {element_count_rounded_notation(group_elements)} Elements](#{group.replace('.', '_')})\n" + + markdown_content += "\n" + + for group in tensor_prefix_order: + tensors = tensor_groups[group] + group_elements = sum(tensor.n_elements for tensor in tensors) + group_percentage = group_elements / total_elements * 100 + markdown_content += f"### {translate_tensor_name(group)} Tensor Group : {element_count_rounded_notation(group_elements)} Elements\n\n" + + # Precalculate column sizing for visual consistency + prettify_element_est_count_size: int = 1 + prettify_element_count_size: int = 1 + prettify_dimension_max_widths: dict[int, int] = {} + for tensor in tensors: + prettify_element_est_count_size = max(prettify_element_est_count_size, len(str(element_count_rounded_notation(tensor.n_elements)))) + prettify_element_count_size = max(prettify_element_count_size, len(str(tensor.n_elements))) + for i, dimension_size in enumerate(list(tensor.shape) + [1] * (4 - len(tensor.shape))): + prettify_dimension_max_widths[i] = max(prettify_dimension_max_widths.get(i,1), len(str(dimension_size))) + + # Generate Tensor Layer Table Content + tensor_dump_table: list[dict[str, str | int]] = [] + for tensor in tensors: + human_friendly_name = translate_tensor_name(tensor.name.replace(".weight", ".(W)").replace(".bias", ".(B)")) + pretty_dimension = ' x '.join(f'{str(d):>{prettify_dimension_max_widths[i]}}' for i, d in enumerate(list(tensor.shape) + [1] * (4 - len(tensor.shape)))) + element_count_est = f"({element_count_rounded_notation(tensor.n_elements):>{prettify_element_est_count_size}})" + element_count_string = f"{element_count_est} {tensor.n_elements:>{prettify_element_count_size}}" + type_name_string = f"{tensor.tensor_type.name}" + tensor_dump_table.append({"t_id":tensor_name_to_key[tensor.name], "layer_name":tensor.name, "human_layer_name":human_friendly_name, "element_count":element_count_string, "pretty_dimension":pretty_dimension, "tensor_type":type_name_string}) + + tensor_dump_table_header_map = [ + {'key_name':'t_id', 'header_name':'T_ID', 'align':'right'}, + {'key_name':'layer_name', 'header_name':'Tensor Layer Name', 'align':'left'}, + {'key_name':'human_layer_name', 'header_name':'Human Friendly Tensor Layer Name', 'align':'left'}, + {'key_name':'element_count', 'header_name':'Elements', 'align':'left'}, + {'key_name':'pretty_dimension', 'header_name':'Shape', 'align':'left'}, + {'key_name':'tensor_type', 'header_name':'Type', 'align':'left'}, + ] + + markdown_content += markdown_table_with_alignment_support(tensor_dump_table_header_map, tensor_dump_table) + + markdown_content += "\n" + markdown_content += f"- Total elements in {group}: ({element_count_rounded_notation(group_elements):>4}) {group_elements}\n" + markdown_content += f"- Percentage of total elements: {group_percentage:.2f}%\n" + markdown_content += "\n\n" + + print(markdown_content) # noqa: NP100 + + def main() -> None: parser = argparse.ArgumentParser(description="Dump GGUF file metadata") parser.add_argument("model", type=str, help="GGUF format model filename") parser.add_argument("--no-tensors", action="store_true", help="Don't dump tensor metadata") parser.add_argument("--json", action="store_true", help="Produce JSON output") parser.add_argument("--json-array", action="store_true", help="Include full array values in JSON output (long)") + parser.add_argument("--markdown", action="store_true", help="Produce markdown output") parser.add_argument("--verbose", action="store_true", help="increase output verbosity") args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"]) logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO) - if not args.json: + if not args.json and not args.markdown: logger.info(f'* Loading: {args.model}') reader = GGUFReader(args.model, 'r') if args.json: dump_metadata_json(reader, args) + elif args.markdown: + dump_markdown_metadata(reader, args) else: dump_metadata(reader, args) From 21be9cab94e0b5b53cb6edeeebf8c8c799baad03 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 17 Jun 2024 11:09:20 +0300 Subject: [PATCH 13/59] rpc : fix load/store misaligned addresses (#7948) --- ggml-rpc.cpp | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/ggml-rpc.cpp b/ggml-rpc.cpp index 22d9524b8..b01ad2674 100644 --- a/ggml-rpc.cpp +++ b/ggml-rpc.cpp @@ -73,9 +73,13 @@ struct rpc_tensor { uint64_t view_offs; uint64_t data; char name[GGML_MAX_NAME]; + + char padding[4]; }; #pragma pack(pop) +static_assert(sizeof(rpc_tensor) % 8 == 0, "rpc_tensor size must be multiple of 8"); + // RPC commands enum rpc_cmd { ALLOC_BUFFER = 0, @@ -599,9 +603,8 @@ static void serialize_graph(const ggml_cgraph * cgraph, std::vector & o int output_size = sizeof(uint32_t) + n_nodes * sizeof(uint64_t) + sizeof(uint32_t) + n_tensors * sizeof(rpc_tensor); output.resize(output_size, 0); memcpy(output.data(), &n_nodes, sizeof(n_nodes)); - uint64_t * out_nodes = (uint64_t *)(output.data() + sizeof(n_nodes)); for (uint32_t i = 0; i < n_nodes; i++) { - out_nodes[i] = reinterpret_cast(cgraph->nodes[i]); + memcpy(output.data() + sizeof(n_nodes) + i * sizeof(uint64_t), &cgraph->nodes[i], sizeof(uint64_t)); } uint32_t * out_ntensors = (uint32_t *)(output.data() + sizeof(n_nodes) + n_nodes * sizeof(uint64_t)); *out_ntensors = n_tensors; @@ -1036,7 +1039,9 @@ bool rpc_server::graph_compute(const std::vector & input, std::vector tensor_map; for (uint32_t i = 0; i < n_nodes; i++) { - graph->nodes[i] = create_node(nodes[i], ctx, tensor_ptrs, tensor_map); + int64_t id; + memcpy(&id, &nodes[i], sizeof(id)); + graph->nodes[i] = create_node(id, ctx, tensor_ptrs, tensor_map); } ggml_status status = ggml_backend_graph_compute(backend, graph); // output serialization format: | status (1 byte) | From 6a2f0b3474d479bda4ac2ee7cfd5dcdcf0be1f79 Mon Sep 17 00:00:00 2001 From: Markus Tavenrath Date: Mon, 17 Jun 2024 16:10:15 +0200 Subject: [PATCH 14/59] Implement non-mapped async IO for CUDA on Windows. (#7896) * Implement non-mapped async IO for CUDA on Windows. On a fast Gen5 NVMe drive this change improves model load time by >3x while it should be the same (or slightly faster) on any other drive. * Free resources except for backend. * Change assertions to exceptions in llama_file, find correct cuda backend to create CUDA resources and respect the use_mmap flag again for CUDA. * Apply suggestions from code review Co-authored-by: slaren * Fix editorconfig and unused variable * Fix issues with Windows build --------- Co-authored-by: slaren --- llama.cpp | 216 ++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 208 insertions(+), 8 deletions(-) diff --git a/llama.cpp b/llama.cpp index bd4f8ec18..b324807f8 100644 --- a/llama.cpp +++ b/llama.cpp @@ -1278,6 +1278,126 @@ struct no_init { }; struct llama_file { + +#if defined(_WIN32) + // use FILE * so we don't have to re-open the file to mmap + FILE * fp; + HANDLE fp_win32; + size_t size; + +private: + std::string GetErrorMessageWin32(DWORD error_code) const { + std::string ret; + LPSTR lpMsgBuf = NULL; + DWORD bufLen = FormatMessageA(FORMAT_MESSAGE_ALLOCATE_BUFFER | FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_IGNORE_INSERTS, + NULL, error_code, MAKELANGID(LANG_NEUTRAL, SUBLANG_DEFAULT), (LPSTR)&lpMsgBuf, 0, NULL); + if (!bufLen) { + ret = format("Win32 error code: %s", error_code); + } else { + ret = lpMsgBuf; + LocalFree(lpMsgBuf); + } + + return ret; + } + +public: + + llama_file(const char * fname, const char * mode) { + fp = ggml_fopen(fname, mode); + if (fp == NULL) { + throw std::runtime_error(format("failed to open %s: %s", fname, strerror(errno))); + } + fp_win32 = (HANDLE) _get_osfhandle(_fileno(fp)); + seek(0, SEEK_END); + size = tell(); + seek(0, SEEK_SET); + } + + size_t tell() const { + // SetFilePointerEx returns the current position when seeking relative 0 bytes + LARGE_INTEGER li; + li.QuadPart = 0; + BOOL ret = SetFilePointerEx(fp_win32, li, &li, FILE_CURRENT); + if (!ret) { + throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str())); + } + + return li.QuadPart; + } + + void seek(size_t offset, int whence) const { + // no need to convert SEEK_* to FILE_*. The enums are the same. + // Still, keep static asserts to avoid failures in the future. + static_assert(SEEK_SET == FILE_BEGIN, "SEEK_SET != FILE_BEGIN"); + static_assert(SEEK_CUR == FILE_CURRENT, "SEEK_CUR != FILE_CURRENT"); + static_assert(SEEK_END == FILE_END, "SEEK_END != FILE_END"); + + LARGE_INTEGER li; + li.QuadPart = offset; + BOOL ret = SetFilePointerEx(fp_win32, li, NULL, whence); + if (!ret) { + throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str())); + } + } + + void read_raw(void * ptr, size_t len) const { + // On Win32 ReadFile is significant faster than fread which is again significant faster than std::fstream. Thus + // use the Win32 API to do file io instead of the C/C++ library functions. + + // There are conditions under which ReadFile cannot read chunks >64MB. + // Thus split the operation into smaller chunks if len exceeds this limit. + size_t bytes_read = 0; + while (bytes_read < len) { + size_t chunk_size = std::min(len - bytes_read, 64*1024*1024); + DWORD chunk_read = 0; + BOOL result = ReadFile(fp_win32, reinterpret_cast(ptr) + bytes_read, chunk_size, &chunk_read, NULL); + if (!result) { + throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str())); + } + if (chunk_read < chunk_size || chunk_read == 0) { + throw std::runtime_error("unexpectedly reached end of file"); + } + + bytes_read += chunk_read; + } ; + } + + uint32_t read_u32() const { + uint32_t val; + read_raw(&val, sizeof(val)); + return val; + } + + void write_raw(const void * ptr, size_t len) const { + // There are conditions under which WriteFile cannot write chunks >64MB. + // Thus split the operation into smaller chunks if len exceeds this limit. + size_t bytes_written = 0; + while (bytes_written < len) { + size_t chunk_size = std::min(len - bytes_written, 64*1024*1024); + DWORD chunk_written = 0; + BOOL result = WriteFile(fp_win32, reinterpret_cast(ptr) + bytes_written, chunk_size, &chunk_written, NULL); + if (!result) { + throw std::runtime_error(format("write error: %s", GetErrorMessageWin32(GetLastError()).c_str())); + } + if (chunk_written < chunk_size || chunk_written == 0) { + throw std::runtime_error("unexpectedly failed to write bytes"); + } + + bytes_written += chunk_written; + } + } + + void write_u32(std::uint32_t val) const { + write_raw(&val, sizeof(val)); + } + + ~llama_file() { + if (fp) { + std::fclose(fp); + } + } +#else // use FILE * so we don't have to re-open the file to mmap FILE * fp; size_t size; @@ -1298,7 +1418,10 @@ struct llama_file { #else long ret = std::ftell(fp); #endif - GGML_ASSERT(ret != -1); // this really shouldn't fail + if (ret == -1) { + throw std::runtime_error(format("ftell error: %s", strerror(errno))); + } + return (size_t) ret; } @@ -1308,7 +1431,9 @@ struct llama_file { #else int ret = std::fseek(fp, (long) offset, whence); #endif - GGML_ASSERT(ret == 0); // same + if (ret != 0) { + throw std::runtime_error(format("seek error: %s", strerror(errno))); + } } void read_raw(void * ptr, size_t len) const { @@ -1351,6 +1476,7 @@ struct llama_file { std::fclose(fp); } } +#endif }; using llama_files = std::vector>; @@ -3721,6 +3847,44 @@ struct llama_model_loader { std::vector> read_buf; std::vector>> validation_result; +#if defined(GGML_USE_CUDA) + // 4 staging buffers for async uploads, each sized 1MB seems to be a good default for single NVMe drives. + // NVMe raid configurations might require more / larger buffers. + constexpr size_t num_buffers = 4; + constexpr size_t buffer_size = 1 * 1024 * 1024; // 1MB + + std::vector host_buffers; + std::vector host_ptrs; + std::vector events; + size_t buffer_idx = 0; // buffer to use for async loads + + ggml_backend_t cuda_backend = nullptr; + if (!use_mmap && !check_tensors) { + // When not using mmaped io use async uploads from pinned memory to GPU memory. + // First determine if the CUDA backend is active, and if so, determine the device ID. + ggml_backend_buffer_t buf = bufs_mmap.count(0) ? bufs_mmap.at(0) : nullptr; + if (buf) { + ggml_backend_buffer_type_t buffer_type = ggml_backend_buffer_get_type(buf); + for (int i = 0; i < ggml_backend_cuda_get_device_count(); ++i) { + auto * cuda_buffer_type = ggml_backend_cuda_buffer_type(i); + if (buffer_type == cuda_buffer_type) { + cuda_backend = ggml_backend_cuda_init(i); + break; + } + } + } + + // If the cuda backend is active create pinned memory buffers and events for synchronisation. + if (cuda_backend) { + for (size_t idx = 0; idx < num_buffers; ++idx) { + host_buffers.emplace_back(ggml_backend_buft_alloc_buffer(llama_default_buffer_type_cpu(true), buffer_size)); + host_ptrs.emplace_back(ggml_backend_buffer_get_base(host_buffers[idx])); + events.emplace_back(ggml_backend_event_new(cuda_backend)); + } + } + } +#endif + for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur != NULL; cur = ggml_get_next_tensor(ctx, cur)) { const auto * weight = get_weight(ggml_get_name(cur)); if (weight == nullptr) { @@ -3776,12 +3940,36 @@ struct llama_model_loader { })); } } else { - read_buf.resize(n_size); - file->seek(weight->offs, SEEK_SET); - file->read_raw(read_buf.data(), n_size); - ggml_backend_tensor_set(cur, read_buf.data(), 0, n_size); - if (check_tensors && !ggml_validate_row_data(cur->type, read_buf.data(), n_size)) { - throw std::runtime_error(format("tensor '%s' has invalid data", ggml_get_name(cur))); +#if defined(GGML_USE_CUDA) + // If cuda_backend is valid load the tensor in chunks to pinned memory and upload the buffers asynchronously to the GPU. + if (cuda_backend) { + file->seek(weight->offs, SEEK_SET); + + size_t bytes_read = 0; + + while (bytes_read < n_size) { + size_t read_iteration = std::min(buffer_size, n_size - bytes_read); + + ggml_backend_event_synchronize(events[buffer_idx]); + file->read_raw(host_ptrs[buffer_idx], read_iteration); + ggml_backend_tensor_set_async(cuda_backend, cur, host_ptrs[buffer_idx], bytes_read, read_iteration); + ggml_backend_event_record(events[buffer_idx]); + + bytes_read += read_iteration; + ++buffer_idx; + buffer_idx %= num_buffers; + } + } + else +#endif + { + read_buf.resize(n_size); + file->seek(weight->offs, SEEK_SET); + file->read_raw(read_buf.data(), n_size); + ggml_backend_tensor_set(cur, read_buf.data(), 0, n_size); + if (check_tensors && !ggml_validate_row_data(cur->type, read_buf.data(), n_size)) { + throw std::runtime_error(format("tensor '%s' has invalid data", ggml_get_name(cur))); + } } } } @@ -3789,6 +3977,18 @@ struct llama_model_loader { size_done += n_size; } +#if defined(GGML_USE_CUDA) + // free temporary resources used for async cuda uploads + if (cuda_backend) { + for (size_t idx = 0; idx < num_buffers;++idx) { + ggml_backend_event_synchronize(events[idx]); + ggml_backend_event_free(events[idx]); + ggml_backend_buffer_free(host_buffers[idx]); + } + ggml_backend_free(cuda_backend); + } +#endif + // check validation results bool validation_failed = false; for (auto & future : validation_result) { From c637fcd34d135a9ff4f97d3a53ad03a910a4a31f Mon Sep 17 00:00:00 2001 From: Frank Mai Date: Mon, 17 Jun 2024 22:11:08 +0800 Subject: [PATCH 15/59] fix: divide 0 exception in mamba (#7932) Signed-off-by: thxCode --- llama.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama.cpp b/llama.cpp index b324807f8..dd7020dc0 100644 --- a/llama.cpp +++ b/llama.cpp @@ -5383,7 +5383,7 @@ static bool llm_load_tensors( // create tensors for the weights { const int64_t n_embd = hparams.n_embd; - const int64_t n_embd_head = n_embd / hparams.n_head; + const int64_t n_embd_head = (hparams.n_head == 0) ? 0 : n_embd / hparams.n_head; const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(); const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa(); const int64_t n_embd_gqa = n_embd_v_gqa; From 99052cd227c7182fcf53343d2e7d33bfa180a9cf Mon Sep 17 00:00:00 2001 From: slaren Date: Mon, 17 Jun 2024 16:51:42 +0200 Subject: [PATCH 16/59] sched : offload_op also requires supports_op (#7977) --- ggml-backend.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-backend.c b/ggml-backend.c index 2bec7bea3..26dce7f72 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -1172,7 +1172,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st // check if a backend with higher prio wants to offload the op if (src_backend_id == sched->n_backends - 1) { for (int b = 0; b < src_backend_id; b++) { - if (ggml_backend_offload_op(sched->backends[b], tensor)) { + if (ggml_backend_supports_op(sched->backends[b], tensor) && ggml_backend_offload_op(sched->backends[b], tensor)) { SET_CAUSE(tensor, "1.off"); return b; } From b473e95084c286780165568cf0f385f21141d68d Mon Sep 17 00:00:00 2001 From: Bryan Honof Date: Mon, 17 Jun 2024 17:37:55 +0200 Subject: [PATCH 17/59] Add Nix and Flox install instructions (#7899) --- README.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/README.md b/README.md index fd75a64ba..54859946d 100644 --- a/README.md +++ b/README.md @@ -387,6 +387,30 @@ brew install llama.cpp ``` The formula is automatically updated with new `llama.cpp` releases. More info: https://github.com/ggerganov/llama.cpp/discussions/7668 +### Nix + +On Mac and Linux, the Nix package manager can be used via +``` +nix profile install nixpkgs#llama-cpp +``` +For flake enabled installs. + +Or +``` +nix-env --file '' --install --attr llama-cpp +``` +For non-flake enabled installs. + +This expression is automatically updated within the [nixpkgs repo](https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/by-name/ll/llama-cpp/package.nix#L164). + +#### Flox + +On Mac and Linux, Flox can be used to install llama.cpp within a Flox environment via +``` +flox install llama-cpp +``` +Flox follows the nixpkgs build of llama.cpp. + ### Metal Build On MacOS, Metal is enabled by default. Using Metal makes the computation run on the GPU. From 7c26775adb579e92b59c82e8084c07a1d0f75e9c Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 17 Jun 2024 19:40:01 +0300 Subject: [PATCH 18/59] llama : disable FA if KV head size do not match (#7982) --- llama.cpp | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/llama.cpp b/llama.cpp index dd7020dc0..619487515 100644 --- a/llama.cpp +++ b/llama.cpp @@ -16260,6 +16260,11 @@ struct llama_context * llama_new_context_with_model( params.flash_attn = false; } + if (params.flash_attn && model->hparams.n_embd_head_k != model->hparams.n_embd_head_v) { + LLAMA_LOG_WARN("%s: flash_attn requires n_embd_head_k == n_embd_head_v - forcing off\n", __func__); + params.flash_attn = false; + } + if (params.type_v != GGML_TYPE_F16 && !params.flash_attn) { LLAMA_LOG_ERROR("%s: V cache quantization requires flash_attn\n", __func__); return nullptr; From 5b6da187508f49a9fa9d95fa22ae804a0780d256 Mon Sep 17 00:00:00 2001 From: Srihari-mcw <96763064+Srihari-mcw@users.noreply.github.com> Date: Mon, 17 Jun 2024 23:53:17 +0530 Subject: [PATCH 19/59] Make updates to type cast based on compiler instead of OS (#7851) --- ggml-impl.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-impl.h b/ggml-impl.h index 5e77471f3..1d2336190 100644 --- a/ggml-impl.h +++ b/ggml-impl.h @@ -17,7 +17,7 @@ #define MIN(a, b) ((a) < (b) ? (a) : (b)) #define MAX(a, b) ((a) > (b) ? (a) : (b)) -#if defined(_WIN32) +#if defined(_MSC_VER) #define m512bh(p) p #define m512i(p) p From a94e6ff8774b7c9f950d9545baf0ce35e8d1ed2f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C8=98tefan-Gabriel=20Muscalu?= Date: Mon, 17 Jun 2024 22:08:46 +0300 Subject: [PATCH 20/59] update: support Qwen2-57B-A14B (#7835) * update: convert-hf-to-gguf.py to support Qwen2-57B-A14B * fix: QWEN2MOE support for expert_feed_forward_length previously, expert ff was taken from n_ff (intermediate size) but it is now properly taken from LLM_KV_EXPERT_FEED_FORWARD_LENGTH n_ff_exp and n_ff_shared_exp are now properly calculated * update: convert-hf-to-gguf.py cleanup for Qwen2MoeForCausalLM * fix: QWEN2MOE support for expert_feed_forward_length previously, expert ff was taken from n_ff (intermediate size) but it is now properly taken from LLM_KV_EXPERT_FEED_FORWARD_LENGTH n_ff_exp and n_ff_shexp are now properly calculated --- convert-hf-to-gguf.py | 6 +++++ gguf-py/gguf/constants.py | 31 +++++++++++----------- gguf-py/gguf/gguf_writer.py | 3 +++ llama.cpp | 51 +++++++++++++++++++++++-------------- 4 files changed, 57 insertions(+), 34 deletions(-) diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py index 55ce502db..a6751cc80 100755 --- a/convert-hf-to-gguf.py +++ b/convert-hf-to-gguf.py @@ -1632,6 +1632,12 @@ class Qwen2MoeModel(Model): super().set_gguf_parameters() if (n_experts := self.hparams.get("num_experts")) is not None: self.gguf_writer.add_expert_count(n_experts) + if (moe_intermediate_size := self.hparams.get("moe_intermediate_size")) is not None: + self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size) + logger.info(f"gguf: expert feed forward length = {moe_intermediate_size}") + if (shared_expert_intermediate_size := self.hparams.get('shared_expert_intermediate_size')) is not None: + self.gguf_writer.add_expert_shared_feed_forward_length(shared_expert_intermediate_size) + logger.info(f"gguf: expert shared feed forward length = {shared_expert_intermediate_size}") _experts: list[dict[str, Tensor]] | None = None diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py index 8908585cc..fb20cfabb 100644 --- a/gguf-py/gguf/constants.py +++ b/gguf-py/gguf/constants.py @@ -33,21 +33,22 @@ class Keys: FILE_TYPE = "general.file_type" class LLM: - VOCAB_SIZE = "{arch}.vocab_size" - CONTEXT_LENGTH = "{arch}.context_length" - EMBEDDING_LENGTH = "{arch}.embedding_length" - BLOCK_COUNT = "{arch}.block_count" - LEADING_DENSE_BLOCK_COUNT = "{arch}.leading_dense_block_count" - FEED_FORWARD_LENGTH = "{arch}.feed_forward_length" - EXPERT_FEED_FORWARD_LENGTH = "{arch}.expert_feed_forward_length" - USE_PARALLEL_RESIDUAL = "{arch}.use_parallel_residual" - TENSOR_DATA_LAYOUT = "{arch}.tensor_data_layout" - EXPERT_COUNT = "{arch}.expert_count" - EXPERT_USED_COUNT = "{arch}.expert_used_count" - EXPERT_SHARED_COUNT = "{arch}.expert_shared_count" - EXPERT_WEIGHTS_SCALE = "{arch}.expert_weights_scale" - POOLING_TYPE = "{arch}.pooling_type" - LOGIT_SCALE = "{arch}.logit_scale" + VOCAB_SIZE = "{arch}.vocab_size" + CONTEXT_LENGTH = "{arch}.context_length" + EMBEDDING_LENGTH = "{arch}.embedding_length" + BLOCK_COUNT = "{arch}.block_count" + LEADING_DENSE_BLOCK_COUNT = "{arch}.leading_dense_block_count" + FEED_FORWARD_LENGTH = "{arch}.feed_forward_length" + EXPERT_FEED_FORWARD_LENGTH = "{arch}.expert_feed_forward_length" + EXPERT_SHARED_FEED_FORWARD_LENGTH = "{arch}.expert_shared_feed_forward_length" + USE_PARALLEL_RESIDUAL = "{arch}.use_parallel_residual" + TENSOR_DATA_LAYOUT = "{arch}.tensor_data_layout" + EXPERT_COUNT = "{arch}.expert_count" + EXPERT_USED_COUNT = "{arch}.expert_used_count" + EXPERT_SHARED_COUNT = "{arch}.expert_shared_count" + EXPERT_WEIGHTS_SCALE = "{arch}.expert_weights_scale" + POOLING_TYPE = "{arch}.pooling_type" + LOGIT_SCALE = "{arch}.logit_scale" class Attention: HEAD_COUNT = "{arch}.attention.head_count" diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py index ed56abfb3..a697f657b 100644 --- a/gguf-py/gguf/gguf_writer.py +++ b/gguf-py/gguf/gguf_writer.py @@ -394,6 +394,9 @@ class GGUFWriter: def add_expert_feed_forward_length(self, length: int) -> None: self.add_uint32(Keys.LLM.EXPERT_FEED_FORWARD_LENGTH.format(arch=self.arch), length) + def add_expert_shared_feed_forward_length(self, length: int) -> None: + self.add_uint32(Keys.LLM.EXPERT_SHARED_FEED_FORWARD_LENGTH.format(arch=self.arch), length) + def add_parallel_residual(self, use: bool) -> None: self.add_bool(Keys.LLM.USE_PARALLEL_RESIDUAL.format(arch=self.arch), use) diff --git a/llama.cpp b/llama.cpp index 619487515..e06c851ad 100644 --- a/llama.cpp +++ b/llama.cpp @@ -286,6 +286,7 @@ enum llm_kv { LLM_KV_LEADING_DENSE_BLOCK_COUNT, LLM_KV_FEED_FORWARD_LENGTH, LLM_KV_EXPERT_FEED_FORWARD_LENGTH, + LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, LLM_KV_USE_PARALLEL_RESIDUAL, LLM_KV_TENSOR_DATA_LAYOUT, LLM_KV_EXPERT_COUNT, @@ -364,21 +365,22 @@ static const std::map LLM_KV_NAMES = { { LLM_KV_GENERAL_SOURCE_URL, "general.source.url" }, { LLM_KV_GENERAL_SOURCE_HF_REPO, "general.source.huggingface.repository" }, - { LLM_KV_VOCAB_SIZE, "%s.vocab_size" }, - { LLM_KV_CONTEXT_LENGTH, "%s.context_length" }, - { LLM_KV_EMBEDDING_LENGTH, "%s.embedding_length" }, - { LLM_KV_BLOCK_COUNT, "%s.block_count" }, - { LLM_KV_LEADING_DENSE_BLOCK_COUNT, "%s.leading_dense_block_count" }, - { LLM_KV_FEED_FORWARD_LENGTH, "%s.feed_forward_length" }, - { LLM_KV_EXPERT_FEED_FORWARD_LENGTH, "%s.expert_feed_forward_length" }, - { LLM_KV_USE_PARALLEL_RESIDUAL, "%s.use_parallel_residual" }, - { LLM_KV_TENSOR_DATA_LAYOUT, "%s.tensor_data_layout" }, - { LLM_KV_EXPERT_COUNT, "%s.expert_count" }, - { LLM_KV_EXPERT_USED_COUNT, "%s.expert_used_count" }, - { LLM_KV_EXPERT_SHARED_COUNT, "%s.expert_shared_count" }, - { LLM_KV_EXPERT_WEIGHTS_SCALE, "%s.expert_weights_scale" }, - { LLM_KV_POOLING_TYPE , "%s.pooling_type" }, - { LLM_KV_LOGIT_SCALE, "%s.logit_scale" }, + { LLM_KV_VOCAB_SIZE, "%s.vocab_size" }, + { LLM_KV_CONTEXT_LENGTH, "%s.context_length" }, + { LLM_KV_EMBEDDING_LENGTH, "%s.embedding_length" }, + { LLM_KV_BLOCK_COUNT, "%s.block_count" }, + { LLM_KV_LEADING_DENSE_BLOCK_COUNT, "%s.leading_dense_block_count" }, + { LLM_KV_FEED_FORWARD_LENGTH, "%s.feed_forward_length" }, + { LLM_KV_EXPERT_FEED_FORWARD_LENGTH, "%s.expert_feed_forward_length" }, + { LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, "%s.expert_shared_feed_forward_length" }, + { LLM_KV_USE_PARALLEL_RESIDUAL, "%s.use_parallel_residual" }, + { LLM_KV_TENSOR_DATA_LAYOUT, "%s.tensor_data_layout" }, + { LLM_KV_EXPERT_COUNT, "%s.expert_count" }, + { LLM_KV_EXPERT_USED_COUNT, "%s.expert_used_count" }, + { LLM_KV_EXPERT_SHARED_COUNT, "%s.expert_shared_count" }, + { LLM_KV_EXPERT_WEIGHTS_SCALE, "%s.expert_weights_scale" }, + { LLM_KV_POOLING_TYPE , "%s.pooling_type" }, + { LLM_KV_LOGIT_SCALE, "%s.logit_scale" }, { LLM_KV_ATTENTION_HEAD_COUNT, "%s.attention.head_count" }, { LLM_KV_ATTENTION_HEAD_COUNT_KV, "%s.attention.head_count_kv" }, @@ -1970,6 +1972,7 @@ struct llama_hparams { uint32_t n_lora_q = 0; uint32_t n_lora_kv = 0; uint32_t n_ff_exp = 0; + uint32_t n_ff_shexp = 0; uint32_t n_expert_shared = 0; float expert_weights_scale = 0.0; @@ -2018,6 +2021,7 @@ struct llama_hparams { if (this->n_lora_q != other.n_lora_q) return true; if (this->n_lora_kv != other.n_lora_kv) return true; if (this->n_ff_exp != other.n_ff_exp) return true; + if (this->n_ff_shexp != other.n_ff_shexp) return true; if (this->n_expert_shared != other.n_expert_shared) return true; if (this->rope_finetuned != other.rope_finetuned) return true; @@ -4455,6 +4459,9 @@ static void llm_load_hparams( } break; case LLM_ARCH_QWEN2MOE: { + ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false); + ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false); + ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps); switch (hparams.n_layer) { case 24: model.type = e_model::MODEL_A2_7B; break; @@ -5240,6 +5247,11 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) { LLAMA_LOG_INFO("%s: expert_weights_scale = %.1f\n", __func__, hparams.expert_weights_scale); LLAMA_LOG_INFO("%s: rope_yarn_log_mul = %.4f\n", __func__, hparams.rope_yarn_log_mul); } + + if (model.arch == LLM_ARCH_QWEN2MOE) { + LLAMA_LOG_INFO("%s: n_ff_exp = %d\n", __func__, hparams.n_ff_exp); + LLAMA_LOG_INFO("%s: n_ff_shexp = %d\n", __func__, hparams.n_ff_shexp); + } } // Returns false if cancelled by progress_callback @@ -6026,16 +6038,17 @@ static bool llm_load_tensors( GGML_ASSERT(hparams.n_expert_used > 0); // MoE branch - auto n_ff_exp = n_ff / hparams.n_expert_used; + auto n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / hparams.n_expert_used; layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}); layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}); layer.ffn_up_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert}); // Shared expert branch + auto n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff; layer.ffn_gate_inp_shexp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd}); - layer.ffn_gate_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff}); - layer.ffn_down_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff, n_embd}); - layer.ffn_up_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff}); + layer.ffn_gate_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}); + layer.ffn_down_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}); + layer.ffn_up_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), {n_embd, n_ff_shexp}); } } break; case LLM_ARCH_PHI2: From e6ecc2be470e3c5c6c5c9d8b90aa83a1f7725084 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 18 Jun 2024 09:37:20 +0300 Subject: [PATCH 21/59] whisper : use ggml_backend_sched (whisper/2239) * whisper : use ggml_backend_sched (wip) * use sched in whisper_allocr * whisper : single backend in whisper_context * whisper : remove whisper_state->backends_used * whisper : remove whisper_context->backend * whisper : reset scheduler after init * whisper : fix external encoder (e.g. CoreML) * whisper : cleanup * whisper : handle null GPU buffer types + fix sycl --------- Co-authored-by: slaren --- ggml-backend.c | 15 +++++++++++++-- ggml-backend.h | 3 +++ 2 files changed, 16 insertions(+), 2 deletions(-) diff --git a/ggml-backend.c b/ggml-backend.c index 26dce7f72..13c71c310 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -1706,14 +1706,16 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg static bool ggml_backend_sched_alloc_splits(ggml_backend_sched_t sched) { bool backend_ids_changed = false; for (int i = 0; i < sched->graph->n_nodes; i++) { - if (sched->node_backend_ids[i] != sched->prev_node_backend_ids[i]) { + if (sched->node_backend_ids[i] != sched->prev_node_backend_ids[i] && + sched->bufts[sched->node_backend_ids[i]] != sched->bufts[sched->prev_node_backend_ids[i]]) { backend_ids_changed = true; break; } } if (!backend_ids_changed) { for (int i = 0; i < sched->graph->n_leafs; i++) { - if (sched->leaf_backend_ids[i] != sched->prev_leaf_backend_ids[i]) { + if (sched->leaf_backend_ids[i] != sched->prev_leaf_backend_ids[i] && + sched->bufts[sched->leaf_backend_ids[i]] != sched->bufts[sched->prev_leaf_backend_ids[i]]) { backend_ids_changed = true; break; } @@ -1977,6 +1979,15 @@ int ggml_backend_sched_get_n_copies(ggml_backend_sched_t sched) { return sched->n_copies; } +int ggml_backend_sched_get_n_backends(ggml_backend_sched_t sched) { + return sched->n_backends; +} + +ggml_backend_t ggml_backend_sched_get_backend(ggml_backend_sched_t sched, int i) { + GGML_ASSERT(i >= 0 && i < sched->n_backends); + return sched->backends[i]; +} + size_t ggml_backend_sched_get_buffer_size(ggml_backend_sched_t sched, ggml_backend_t backend) { int backend_index = ggml_backend_sched_backend_id(sched, backend); GGML_ASSERT(backend_index >= 0 && backend_index < sched->n_backends); diff --git a/ggml-backend.h b/ggml-backend.h index 47fd81475..4a38eeb5c 100644 --- a/ggml-backend.h +++ b/ggml-backend.h @@ -182,6 +182,9 @@ extern "C" { // Initialize backend buffers from a measure graph GGML_API bool ggml_backend_sched_reserve(ggml_backend_sched_t sched, struct ggml_cgraph * measure_graph); + GGML_API int ggml_backend_sched_get_n_backends(ggml_backend_sched_t sched); + GGML_API ggml_backend_t ggml_backend_sched_get_backend(ggml_backend_sched_t sched, int i); + // Get the number of splits of the last graph GGML_API int ggml_backend_sched_get_n_splits(ggml_backend_sched_t sched); GGML_API int ggml_backend_sched_get_n_copies(ggml_backend_sched_t sched); From 5326bcceeb7dd34f16d0fe61b134d1e074a8e65d Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 18 Jun 2024 09:50:45 +0300 Subject: [PATCH 22/59] ggml : sync --- scripts/sync-ggml.last | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index 5042f82ae..b6c57ec5e 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -2aae01fd9b8f9399f343cf18f46f38996ef52e2c +5653a195935ea3ac54652644c9daf154dbc1571b From 1193778105c9a81bd38f72c61aaafbaf85dc9c04 Mon Sep 17 00:00:00 2001 From: Abheek Gulati Date: Mon, 17 Jun 2024 23:57:41 -0700 Subject: [PATCH 23/59] readme : update UI list (#7943) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 54859946d..40793c8ea 100644 --- a/README.md +++ b/README.md @@ -209,6 +209,7 @@ Unless otherwise noted these projects are open-source with permissive licensing: - [eva](https://github.com/ylsdamxssjxxdd/eva) (MIT) - [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT) - [AIKit](https://github.com/sozercan/aikit) (MIT) +- [LARS - The LLM & Advanced Referencing Solution](https://github.com/abgulati/LARS) (AGPL) *(to have a project listed here, it should clearly state that it depends on `llama.cpp`)* From b96f9afb0d58b003ac8d1d0c94cd99393a3bc437 Mon Sep 17 00:00:00 2001 From: Frank Mai Date: Tue, 18 Jun 2024 15:11:40 +0800 Subject: [PATCH 24/59] chore: clean useless beam search param (#7985) Signed-off-by: thxCode --- common/common.h | 1 - 1 file changed, 1 deletion(-) diff --git a/common/common.h b/common/common.h index 58ed72f43..9a1dc4a2f 100644 --- a/common/common.h +++ b/common/common.h @@ -73,7 +73,6 @@ struct gpt_params { int32_t n_gpu_layers_draft = -1; // number of layers to store in VRAM for the draft model (-1 - use default) int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors float tensor_split[128] = {0}; // how split tensors should be distributed across GPUs - int32_t n_beams = 0; // if non-zero then use beam search of given width. int32_t grp_attn_n = 1; // group-attention factor int32_t grp_attn_w = 512; // group-attention width int32_t n_print = -1; // print token count every n tokens (-1 = disabled) From 61665277afde2add00c0d387acb94ed5feb95917 Mon Sep 17 00:00:00 2001 From: Ulrich Drepper Date: Tue, 18 Jun 2024 14:00:14 +0200 Subject: [PATCH 25/59] Allow compiling with CUDA without CUDA runtime installed (#7989) On hosts which are not prepared/dedicated to execute code using CUDA it is still possible to compile llama.cpp with CUDA support by just installing the development packages. Missing are the runtime libraries like /usr/lib64/libcuda.so* and currently the link step will fail. The development environment is prepared for such situations. There are stub libraries for all the CUDA libraries available in the $(CUDA_PATH)/lib64/stubs directory. Adding this directory to the end of the search path will not change anything for environments which currently work fine but will enable compiling llama.cpp also in case the runtime code is not available. --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index f94ee3933..dddf647cd 100644 --- a/Makefile +++ b/Makefile @@ -507,7 +507,7 @@ ifdef LLAMA_CUDA CUDA_PATH ?= /usr/local/cuda endif MK_CPPFLAGS += -DGGML_USE_CUDA -I$(CUDA_PATH)/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include -DGGML_CUDA_USE_GRAPHS - MK_LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L$(CUDA_PATH)/lib64 -L/usr/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L/usr/lib/wsl/lib + MK_LDFLAGS += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L$(CUDA_PATH)/lib64 -L/usr/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L$(CUDA_PATH)/lib64/stubs -L/usr/lib/wsl/lib OBJS += ggml-cuda.o OBJS += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu)) OBJS += $(OBJS_CUDA_TEMP_INST) From 84f6de17f6a8602e7ff7f7c7bda36a73f510a2dd Mon Sep 17 00:00:00 2001 From: jojorne Date: Tue, 18 Jun 2024 09:18:32 -0300 Subject: [PATCH 26/59] Fix no gcc pragma on Windows (#7751) --- sgemm.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/sgemm.cpp b/sgemm.cpp index 40ba9d7e9..bbe263ddd 100644 --- a/sgemm.cpp +++ b/sgemm.cpp @@ -43,8 +43,10 @@ // [1] J. Tunney, ‘LLaMA Now Goes Faster on CPUs’, Mar. 2024. [Online]. // Available: https://justine.lol/matmul/. [Accessed: 29-Mar-2024]. +#if defined(__GNUC__) #pragma GCC diagnostic ignored "-Wpedantic" #pragma GCC diagnostic ignored "-Wignored-attributes" +#endif #include "sgemm.h" #include "ggml-impl.h" From 91c188d6c296bd3384f2a02a83b71187aa3d18b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= Date: Tue, 18 Jun 2024 14:19:45 +0200 Subject: [PATCH 27/59] Only use FIM middle token if it exists (#7648) * Only use FIM middle if it exists * Only use FIM middle if it exists --- examples/infill/infill.cpp | 13 +++++++++++-- examples/server/server.cpp | 7 ++++++- 2 files changed, 17 insertions(+), 3 deletions(-) diff --git a/examples/infill/infill.cpp b/examples/infill/infill.cpp index 0e4ec79c6..3e82e4a81 100644 --- a/examples/infill/infill.cpp +++ b/examples/infill/infill.cpp @@ -223,7 +223,11 @@ int main(int argc, char ** argv) { inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model)); embd_inp = inp_pfx; embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end()); - embd_inp.push_back(llama_token_middle(model)); + + const llama_token middle_token = llama_token_middle(model); + if (middle_token >= 0) { + embd_inp.push_back(middle_token); + } LOG("prefix: \"%s\"\n", log_tostr(params.input_prefix)); LOG("suffix: \"%s\"\n", log_tostr(params.input_suffix)); @@ -528,7 +532,12 @@ int main(int argc, char ** argv) { inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model)); embd_inp = inp_pfx; embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end()); - embd_inp.push_back(llama_token_middle(model)); + + const llama_token middle_token = llama_token_middle(model); + if (middle_token >= 0) { + embd_inp.push_back(middle_token); + } + embd.clear(); n_remain = params.n_predict; n_past = 0; diff --git a/examples/server/server.cpp b/examples/server/server.cpp index 919078f2b..ec59307b2 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -2038,7 +2038,12 @@ struct server_context { prefix_tokens.insert(prefix_tokens.begin(), llama_token_bos(model)); // always add BOS prefix_tokens.insert(prefix_tokens.end(), llama_token_suffix(model)); prefix_tokens.insert(prefix_tokens.end(), suffix_tokens.begin(), suffix_tokens.end()); - prefix_tokens.push_back(llama_token_middle(model)); + + const llama_token middle_token = llama_token_middle(model); + if (middle_token >= 0) { + prefix_tokens.push_back(middle_token); + } + prompt_tokens = prefix_tokens; } else { prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt From 37bef8943312d91183ff06d8f1214082a17344a5 Mon Sep 17 00:00:00 2001 From: jaime-m-p <167997752+jaime-m-p@users.noreply.github.com> Date: Tue, 18 Jun 2024 18:40:52 +0200 Subject: [PATCH 28/59] tokenizer : BPE fixes (#7530) * Random test: add_bos_token, add_eos_token * Random test: add BPE models for testing * Custom regex split fails with codepoint 0 * Fix falcon punctuation regex * Refactor llm_tokenizer_bpe: move code to constructor * Move 'add_special_bos/eos' logic to llm_tokenizer_bpe * Move tokenizer flags to vocab structure. * Default values for special_add_bos/eos * Build vocab.special_tokens_cache using vocab token types * Generalize 'jina-v2' per token attributes * Fix unicode whitespaces (deepseek-coder, deepseek-llm) * Skip missing byte tokens (falcon) * Better unicode data generation * Replace char32_t with uint32_t --- llama.cpp | 309 +++--- scripts/gen-unicode-data.py | 176 ++-- tests/test-tokenizer-random.py | 170 +++- unicode-data.cpp | 1652 ++++++++++++++++---------------- unicode.cpp | 29 +- 5 files changed, 1283 insertions(+), 1053 deletions(-) diff --git a/llama.cpp b/llama.cpp index e06c851ad..8818c6928 100644 --- a/llama.cpp +++ b/llama.cpp @@ -2310,16 +2310,17 @@ struct llama_vocab { id special_cls_id = -1; id special_mask_id = -1; - int special_add_bos = -1; // -1 unknown, 1 add, 0 don't add. - int special_add_eos = -1; // -1 unknown, 1 add, 0 don't add. - id linefeed_id = 13; id special_prefix_id = -1; id special_suffix_id = -1; id special_middle_id = -1; id special_eot_id = -1; // TODO: move above after "eos_id", and here add "file separator" token - bool add_space_prefix = true; + // tokenizer flags + bool tokenizer_add_space_prefix = true; + bool tokenizer_add_bos = false; + bool tokenizer_add_eos = false; + bool tokenizer_ignore_merges = false; int find_bpe_rank(const std::string & token_left, const std::string & token_right) const { GGML_ASSERT(token_left.find(' ') == std::string::npos); @@ -4770,7 +4771,7 @@ static void llm_load_vocab( const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str()); if (add_space_prefix_keyidx != -1) { - vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx); + vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx); } // The default value of add_space_prefix is true. } else if (tokenizer_model == "bert") { vocab.type = LLAMA_VOCAB_TYPE_WPM; @@ -4783,13 +4784,13 @@ static void llm_load_vocab( vocab.special_pad_id = 0; vocab.special_cls_id = 101; vocab.special_mask_id = 103; - vocab.add_space_prefix = false; + vocab.tokenizer_add_space_prefix = false; } else if (tokenizer_model == "gpt2") { vocab.type = LLAMA_VOCAB_TYPE_BPE; const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str()); if (add_space_prefix_keyidx != -1) { - vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx); + vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx); } // read bpe merges and populate bpe ranks @@ -4847,6 +4848,8 @@ static void llm_load_vocab( tokenizer_pre == "llama-v3" || tokenizer_pre == "llama-bpe") { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_LLAMA3; + vocab.tokenizer_ignore_merges = true; + vocab.tokenizer_add_bos = true; } else if ( tokenizer_pre == "deepseek-llm") { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM; @@ -4897,6 +4900,14 @@ static void llm_load_vocab( } else { throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str())); } + } else if (vocab.type == LLAMA_VOCAB_TYPE_SPM) { + vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT; + vocab.tokenizer_add_bos = true; + vocab.tokenizer_add_eos = false; + } else if (vocab.type == LLAMA_VOCAB_TYPE_WPM) { + vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT; + vocab.tokenizer_add_bos = true; + vocab.tokenizer_add_eos = false; } else { vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT; } @@ -5041,10 +5052,10 @@ static void llm_load_vocab( bool temp = true; if (ml.get_key(LLM_KV_TOKENIZER_ADD_BOS, temp, false)) { - vocab.special_add_bos = int(temp); + vocab.tokenizer_add_bos = temp; } if (ml.get_key(LLM_KV_TOKENIZER_ADD_EOS, temp, false)) { - vocab.special_add_eos = int(temp); + vocab.tokenizer_add_eos = temp; } } @@ -5144,7 +5155,7 @@ static void llm_load_vocab( ); // set attributes by model/tokenizer name - if (_contains_any(tokenizer_pre, {"jina-v2-es", "jina-v2-de"})) { + if (_contains_any(tokenizer_pre, {"jina-v2-de", "jina-v2-es", "jina-v2-code"})) { _set_token_attr("", LLAMA_TOKEN_ATTR_LSTRIP, true); } else if (_contains_any(model_name, {"phi-3", "phi3"})) { for (auto id : vocab.cache_special_tokens) { @@ -13158,112 +13169,142 @@ struct llm_bigram_bpe { }; struct llm_tokenizer_bpe { - llm_tokenizer_bpe(const llama_vocab & vocab): vocab(vocab) {} + llm_tokenizer_bpe(const llama_vocab & vocab): vocab(vocab) { + GGML_ASSERT(vocab.type == LLAMA_VOCAB_TYPE_BPE); + switch (vocab.type_pre) { + case LLAMA_VOCAB_PRE_TYPE_LLAMA3: + regex_exprs = { + // original regex from tokenizer.json + //"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", + + // adapted: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2080233989 + "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_DBRX: + case LLAMA_VOCAB_PRE_TYPE_SMAUG: + regex_exprs = { + // same as llama3 + "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM: + regex_exprs = { + "[\r\n]", + "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ𐐀-𐑏𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+", + "\\s?[!-/:-~！-／：-～‘-‟　-。]+", + "\\s+$", + "[一-龥ࠀ-一가-퟿]+", + "\\p{N}+", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER: + regex_exprs = { + "[\r\n]", + "\\s?\\p{L}+", + "\\s?\\p{P}+", + "[一-龥ࠀ-一가-퟿]+", + "\\p{N}", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_FALCON: + regex_exprs = { + "[\\p{P}\\$\\+<=>\\^~\\|`]+", + "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", + "[0-9][0-9][0-9]", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_MPT: + // TODO: MPT pre-tokenization regexes are unknown + // the following are close, but not exact. run the following: + // ./bin/test-tokenizer-0 ../models/ggml-vocab-mpt.gguf + GGML_ASSERT("MPT pre-tokenization regexes are unknown - fixes needed"); + regex_exprs = { + "\\s?\\p{L}+", + "\\s?\\p{P}+", + "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_STARCODER: + case LLAMA_VOCAB_PRE_TYPE_REFACT: + case LLAMA_VOCAB_PRE_TYPE_COMMAND_R: + regex_exprs = { + "\\p{N}", + "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_GPT2: + case LLAMA_VOCAB_PRE_TYPE_OLMO: + regex_exprs = { + "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_STABLELM2: + case LLAMA_VOCAB_PRE_TYPE_QWEN2: + regex_exprs = { + // original regex from tokenizer.json + // "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" + "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", + }; + break; + case LLAMA_VOCAB_PRE_TYPE_PORO: + regex_exprs = { + " ?[^(\\s|.,!?…。，、।۔،)]+", + }; + break; + default: + // default regex for BPE tokenization pre-processing + regex_exprs = { + "[\\p{P}\\$\\+<=>\\^~\\|]+", + "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", + "\\p{N}+", + "[0-9][0-9][0-9]", + }; + break; + } + } + + void append(const llama_vocab::id token_id, std::vector & output) const { + output.push_back(token_id); + } + + bool append_bos(std::vector & output) const { + if (vocab.tokenizer_add_bos) { + GGML_ASSERT(vocab.special_bos_id != -1); + output.push_back(vocab.special_bos_id); + return true; + } + return false; + } + + bool append_eos(std::vector & output) const { + if (vocab.tokenizer_add_eos) { + GGML_ASSERT(vocab.special_eos_id != -1); + output.push_back(vocab.special_eos_id); + return true; + } + return false; + } + + void check_double_bos_eos(const std::vector & output) const { + if (vocab.tokenizer_add_bos && output.size() >= 2 && output[1] == vocab.special_bos_id) { + LLAMA_LOG_WARN( + "%s: Added a BOS token to the prompt as specified by the model but the prompt " + "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. " + "Are you sure this is what you want?\n", __FUNCTION__); + } + if (vocab.tokenizer_add_eos && output.size() >= 2 && *(output.end()-2) == vocab.special_eos_id) { + LLAMA_LOG_WARN( + "%s: Added a EOS token to the prompt as specified by the model but the prompt " + "also ends with a EOS token. So now the final prompt ends with 2 EOS tokens. " + "Are you sure this is what you want?\n", __FUNCTION__); + } + } void tokenize(const std::string & text, std::vector & output) { int final_prev_index = -1; - bool ignore_merges = false; - std::vector word_collection; - switch (vocab.type) { - case LLAMA_VOCAB_TYPE_BPE: - switch (vocab.type_pre) { - case LLAMA_VOCAB_PRE_TYPE_LLAMA3: - ignore_merges = true; - word_collection = unicode_regex_split(text, { - // original regex from tokenizer.json - //"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", - - // adapted: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2080233989 - "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_DBRX: - case LLAMA_VOCAB_PRE_TYPE_SMAUG: - word_collection = unicode_regex_split(text, { - // same as llama3 - "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM: - word_collection = unicode_regex_split(text, { - "[\r\n]", - "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ𐐀-𐑏𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+", - "\\s?[!-/:-~！-／：-～‘-‟　-。]+", - "\\s+$", - "[一-龥ࠀ-一가-퟿]+", - "\\p{N}+", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER: - word_collection = unicode_regex_split(text, { - "[\r\n]", - "\\s?\\p{L}+", - "\\s?\\p{P}+", - "[一-龥ࠀ-一가-퟿]+", - "\\p{N}", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_FALCON: - word_collection = unicode_regex_split(text, { - "[\\p{P}\\$\\+<=>\\^~\\|]+", - "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", - "[0-9][0-9][0-9]", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_MPT: - // TODO: MPT pre-tokenization regexes are unknown - // the following are close, but not exact. run the following: - // ./bin/test-tokenizer-0 ../models/ggml-vocab-mpt.gguf - GGML_ASSERT("MPT pre-tokenization regexes are unknown - fixes needed"); - word_collection = unicode_regex_split(text, { - "\\s?\\p{L}+", - "\\s?\\p{P}+", - "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_STARCODER: - case LLAMA_VOCAB_PRE_TYPE_REFACT: - case LLAMA_VOCAB_PRE_TYPE_COMMAND_R: - word_collection = unicode_regex_split(text, { - "\\p{N}", - "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_GPT2: - case LLAMA_VOCAB_PRE_TYPE_OLMO: - word_collection = unicode_regex_split(text, { - "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_STABLELM2: - case LLAMA_VOCAB_PRE_TYPE_QWEN2: - word_collection = unicode_regex_split(text, { - // original regex from tokenizer.json - // "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" - "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", - }); - break; - case LLAMA_VOCAB_PRE_TYPE_PORO: - word_collection = unicode_regex_split(text, { - " ?[^(\\s|.,!?…。，、।۔،)]+", - }); - break; - default: - // default regex for BPE tokenization pre-processing - word_collection = unicode_regex_split(text, { - "[\\p{P}\\$\\+<=>\\^~\\|]+", - "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)", - "\\p{N}+", - "[0-9][0-9][0-9]", - }); - break; - } - break; - default: - GGML_ASSERT(false); - break; - } + const auto word_collection = unicode_regex_split(text, regex_exprs); symbols_final.clear(); @@ -13274,7 +13315,7 @@ struct llm_tokenizer_bpe { int index = 0; size_t offset = 0; - if (ignore_merges && vocab.token_to_id.find(word) != vocab.token_to_id.end()) { + if (vocab.tokenizer_ignore_merges && vocab.token_to_id.find(word) != vocab.token_to_id.end()) { symbols.emplace_back(llm_symbol{-1, -1, word.c_str(), word.size()}); offset = word.size(); } @@ -13355,10 +13396,9 @@ struct llm_tokenizer_bpe { for (auto j = str.begin(); j != str.end(); ++j) { std::string byte_str(1, *j); auto token_multibyte = vocab.token_to_id.find(byte_str); - if (token_multibyte == vocab.token_to_id.end()) { - throw std::runtime_error("ERROR: byte not found in vocab"); + if (token_multibyte != vocab.token_to_id.end()) { + output.push_back(token_multibyte->second); } - output.push_back((*token_multibyte).second); } } else { output.push_back((*token).second); @@ -13397,6 +13437,8 @@ private: const llama_vocab & vocab; + std::vector regex_exprs; + std::vector symbols; std::vector symbols_final; @@ -13677,7 +13719,7 @@ static std::vector llama_tokenize_internal(const llama_vocab & bool is_prev_special = false; - if (add_special && vocab.special_add_bos != 0) { + if (add_special && vocab.tokenizer_add_bos) { GGML_ASSERT(vocab.special_bos_id != -1); output.push_back(vocab.special_bos_id); is_prev_special = true; @@ -13687,7 +13729,7 @@ static std::vector llama_tokenize_internal(const llama_vocab & if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) { auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length); - if (vocab.add_space_prefix) { + if (vocab.tokenizer_add_space_prefix) { if (!output.size() || is_prev_special) { // prefix with space if first token raw_text = " " + raw_text; } @@ -13705,23 +13747,24 @@ static std::vector llama_tokenize_internal(const llama_vocab & } } - if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) { + if (add_special && vocab.tokenizer_add_bos && output.size() >= 2 && output[1] == vocab.special_bos_id) { LLAMA_LOG_WARN( "%s: Added a BOS token to the prompt as specified by the model but the prompt " "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. " "Are you sure this is what you want?\n", __FUNCTION__); } - if (add_special && vocab.special_add_eos == 1) { + if (add_special && vocab.tokenizer_add_eos) { GGML_ASSERT(vocab.special_eos_id != -1); output.push_back(vocab.special_eos_id); } } break; case LLAMA_VOCAB_TYPE_BPE: { - if (add_special && vocab.special_add_bos != 0) { - GGML_ASSERT(vocab.special_bos_id != -1); - output.push_back(vocab.special_bos_id); + llm_tokenizer_bpe tokenizer(vocab); + + if (add_special) { + tokenizer.append_bos(output); } for (const auto & fragment : fragment_buffer) { @@ -13731,23 +13774,15 @@ static std::vector llama_tokenize_internal(const llama_vocab & #ifdef PRETOKENIZERDEBUG LLAMA_LOG_WARN("TT: (%ld %ld %ld) '%s'\n", raw_text.length(), fragment.offset, fragment.length, raw_text.c_str()); #endif - llm_tokenizer_bpe tokenizer(vocab); tokenizer.tokenize(raw_text, output); } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN) - output.push_back(fragment.token); + tokenizer.append(fragment.token, output); } } - if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) { - LLAMA_LOG_WARN( - "%s: Added a BOS token to the prompt as specified by the model but the prompt " - "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. " - "Are you sure this is what you want?\n", __FUNCTION__); - } - - if (add_special && vocab.special_add_eos == 1) { - GGML_ASSERT(vocab.special_add_eos != -1); - output.push_back(vocab.special_eos_id); + if (add_special) { + tokenizer.append_eos(output); + tokenizer.check_double_bos_eos(output); } } break; case LLAMA_VOCAB_TYPE_WPM: @@ -18320,11 +18355,11 @@ llama_token llama_token_nl(const struct llama_model * model) { } int32_t llama_add_bos_token(const struct llama_model * model) { - return model->vocab.special_add_bos; + return model->vocab.tokenizer_add_bos; } int32_t llama_add_eos_token(const struct llama_model * model) { - return model->vocab.special_add_eos; + return model->vocab.tokenizer_add_eos; } llama_token llama_token_prefix(const struct llama_model * model) { diff --git a/scripts/gen-unicode-data.py b/scripts/gen-unicode-data.py index 744873c2a..890e4d7c2 100644 --- a/scripts/gen-unicode-data.py +++ b/scripts/gen-unicode-data.py @@ -1,83 +1,143 @@ -import regex -import ctypes +import array import unicodedata - - -class CoodepointFlags (ctypes.Structure): - _fields_ = [ # see definition in unicode.h - ("is_undefined", ctypes.c_uint16, 1), - ("is_number", ctypes.c_uint16, 1), # regex: \p{N} - ("is_letter", ctypes.c_uint16, 1), # regex: \p{L} - ("is_separator", ctypes.c_uint16, 1), # regex: \p{Z} - ("is_accent_mark", ctypes.c_uint16, 1), # regex: \p{M} - ("is_punctuation", ctypes.c_uint16, 1), # regex: \p{P} - ("is_symbol", ctypes.c_uint16, 1), # regex: \p{S} - ("is_control", ctypes.c_uint16, 1), # regex: \p{C} - ] - - -assert (ctypes.sizeof(CoodepointFlags) == 2) +import requests MAX_CODEPOINTS = 0x110000 -regex_number = regex.compile(r'\p{N}') -regex_letter = regex.compile(r'\p{L}') -regex_separator = regex.compile(r'\p{Z}') -regex_accent_mark = regex.compile(r'\p{M}') -regex_punctuation = regex.compile(r'\p{P}') -regex_symbol = regex.compile(r'\p{S}') -regex_control = regex.compile(r'\p{C}') -regex_whitespace = regex.compile(r'\s') +UNICODE_DATA_URL = "https://www.unicode.org/Public/UCD/latest/ucd/UnicodeData.txt" -codepoint_flags = (CoodepointFlags * MAX_CODEPOINTS)() + +# see https://www.unicode.org/L2/L1999/UnicodeData.html +def unicode_data_iter(): + res = requests.get(UNICODE_DATA_URL) + res.raise_for_status() + data = res.content.decode() + + prev = [] + + for line in data.splitlines(): + # ej: 0000;;Cc;0;BN;;;;;N;NULL;;;; + line = line.split(";") + + cpt = int(line[0], base=16) + assert cpt < MAX_CODEPOINTS + + cpt_lower = int(line[-2] or "0", base=16) + assert cpt_lower < MAX_CODEPOINTS + + cpt_upper = int(line[-3] or "0", base=16) + assert cpt_upper < MAX_CODEPOINTS + + categ = line[2].strip() + assert len(categ) == 2 + + bidir = line[4].strip() + assert len(categ) == 2 + + name = line[1] + if name.endswith(", First>"): + prev = (cpt, cpt_lower, cpt_upper, categ, bidir) + continue + if name.endswith(", Last>"): + assert prev[1:] == (0, 0, categ, bidir) + for c in range(prev[0], cpt): + yield (c, cpt_lower, cpt_upper, categ, bidir) + + yield (cpt, cpt_lower, cpt_upper, categ, bidir) + + +# see definition in unicode.h +CODEPOINT_FLAG_UNDEFINED = 0x0001 # +CODEPOINT_FLAG_NUMBER = 0x0002 # \p{N} +CODEPOINT_FLAG_LETTER = 0x0004 # \p{L} +CODEPOINT_FLAG_SEPARATOR = 0x0008 # \p{Z} +CODEPOINT_FLAG_MARK = 0x0010 # \p{M} +CODEPOINT_FLAG_PUNCTUATION = 0x0020 # \p{P} +CODEPOINT_FLAG_SYMBOL = 0x0040 # \p{S} +CODEPOINT_FLAG_CONTROL = 0x0080 # \p{C} + +UNICODE_CATEGORY_TO_FLAG = { + "Cn": CODEPOINT_FLAG_UNDEFINED, # Undefined + "Cc": CODEPOINT_FLAG_CONTROL, # Control + "Cf": CODEPOINT_FLAG_CONTROL, # Format + "Co": CODEPOINT_FLAG_CONTROL, # Private Use + "Cs": CODEPOINT_FLAG_CONTROL, # Surrrogate + "Ll": CODEPOINT_FLAG_LETTER, # Lowercase Letter + "Lm": CODEPOINT_FLAG_LETTER, # Modifier Letter + "Lo": CODEPOINT_FLAG_LETTER, # Other Letter + "Lt": CODEPOINT_FLAG_LETTER, # Titlecase Letter + "Lu": CODEPOINT_FLAG_LETTER, # Uppercase Letter + "L&": CODEPOINT_FLAG_LETTER, # Cased Letter + "Mc": CODEPOINT_FLAG_MARK, # Spacing Mark + "Me": CODEPOINT_FLAG_MARK, # Enclosing Mark + "Mn": CODEPOINT_FLAG_MARK, # Nonspacing Mark + "Nd": CODEPOINT_FLAG_NUMBER, # Decimal Number + "Nl": CODEPOINT_FLAG_NUMBER, # Letter Number + "No": CODEPOINT_FLAG_NUMBER, # Other Number + "Pc": CODEPOINT_FLAG_PUNCTUATION, # Connector Punctuation + "Pd": CODEPOINT_FLAG_PUNCTUATION, # Dash Punctuation + "Pe": CODEPOINT_FLAG_PUNCTUATION, # Close Punctuation + "Pf": CODEPOINT_FLAG_PUNCTUATION, # Final Punctuation + "Pi": CODEPOINT_FLAG_PUNCTUATION, # Initial Punctuation + "Po": CODEPOINT_FLAG_PUNCTUATION, # Other Punctuation + "Ps": CODEPOINT_FLAG_PUNCTUATION, # Open Punctuation + "Sc": CODEPOINT_FLAG_SYMBOL, # Currency Symbol + "Sk": CODEPOINT_FLAG_SYMBOL, # Modifier Symbol + "Sm": CODEPOINT_FLAG_SYMBOL, # Math Symbol + "So": CODEPOINT_FLAG_SYMBOL, # Other Symbol + "Zl": CODEPOINT_FLAG_SEPARATOR, # Line Separator + "Zp": CODEPOINT_FLAG_SEPARATOR, # Paragraph Separator + "Zs": CODEPOINT_FLAG_SEPARATOR, # Space Separator +} + + +codepoint_flags = array.array('H', [CODEPOINT_FLAG_UNDEFINED]) * MAX_CODEPOINTS table_whitespace = [] table_lowercase = [] table_uppercase = [] table_nfd = [] -for codepoint in range(MAX_CODEPOINTS): +for (cpt, cpt_lower, cpt_upper, categ, bidir) in unicode_data_iter(): # convert codepoint to unicode character - char = chr(codepoint) + char = chr(cpt) - # regex categories - flags = codepoint_flags[codepoint] - flags.is_number = bool(regex_number.match(char)) - flags.is_letter = bool(regex_letter.match(char)) - flags.is_separator = bool(regex_separator.match(char)) - flags.is_accent_mark = bool(regex_accent_mark.match(char)) - flags.is_punctuation = bool(regex_punctuation.match(char)) - flags.is_symbol = bool(regex_symbol.match(char)) - flags.is_control = bool(regex_control.match(char)) - flags.is_undefined = bytes(flags)[0] == 0 - assert (not flags.is_undefined) - - # whitespaces - if bool(regex_whitespace.match(char)): - table_whitespace.append(codepoint) + # codepoint category flags + codepoint_flags[cpt] = UNICODE_CATEGORY_TO_FLAG[categ] # lowercase conversion - lower = ord(char.lower()[0]) - if codepoint != lower: - table_lowercase.append((codepoint, lower)) + if cpt_lower: + table_lowercase.append((cpt, cpt_lower)) # uppercase conversion - upper = ord(char.upper()[0]) - if codepoint != upper: - table_uppercase.append((codepoint, upper)) + if cpt_upper: + table_uppercase.append((cpt, cpt_upper)) # NFD normalization norm = ord(unicodedata.normalize('NFD', char)[0]) - if codepoint != norm: - table_nfd.append((codepoint, norm)) + if cpt != norm: + table_nfd.append((cpt, norm)) + + +# whitespaces, see "" https://www.unicode.org/Public/UCD/latest/ucd/PropList.txt +table_whitespace.extend(range(0x0009, 0x000D + 1)) +table_whitespace.extend(range(0x2000, 0x200A + 1)) +table_whitespace.extend([0x0020, 0x0085, 0x00A0, 0x1680, 0x2028, 0x2029, 0x202F, 0x205F, 0x3000]) + + +# sort by codepoint +table_whitespace.sort() +table_lowercase.sort() +table_uppercase.sort() +table_nfd.sort() # group ranges with same flags ranges_flags = [(0, codepoint_flags[0])] # start, flags for codepoint, flags in enumerate(codepoint_flags): - if bytes(flags) != bytes(ranges_flags[-1][1]): + if flags != ranges_flags[-1][1]: ranges_flags.append((codepoint, flags)) -ranges_flags.append((MAX_CODEPOINTS, CoodepointFlags())) +ranges_flags.append((MAX_CODEPOINTS, 0x0000)) # group ranges with same nfd @@ -90,8 +150,8 @@ for codepoint, norm in table_nfd: ranges_nfd[-1] = (start, codepoint, norm) -# Generate 'unicode-data.cpp' - +# Generate 'unicode-data.cpp': +# python ./scripts//gen-unicode-data.py > unicode-data.cpp def out(line=""): print(line, end='\n') # noqa @@ -110,12 +170,12 @@ out("""\ out("const std::vector> unicode_ranges_flags = { // start, flags // last=next_start-1") for codepoint, flags in ranges_flags: - flags = int.from_bytes(bytes(flags), "little") out("{0x%06X, 0x%04X}," % (codepoint, flags)) out("};\n") out("const std::unordered_set unicode_set_whitespace = {") -out(", ".join("0x%06X" % cpt for cpt in table_whitespace)) +for codepoint in table_whitespace: + out("0x%06X," % codepoint) out("};\n") out("const std::unordered_map unicode_map_lowercase = {") diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py index 52f589511..a07c52fb3 100644 --- a/tests/test-tokenizer-random.py +++ b/tests/test-tokenizer-random.py @@ -11,13 +11,15 @@ import logging import argparse import subprocess import random +import unicodedata from typing import Callable, Iterator import cffi from transformers import AutoTokenizer -logger = logging.getLogger("test-tokenizer-random-bpe") + +logger = logging.getLogger("test-tokenizer-random") class LibLlama: @@ -155,9 +157,14 @@ def generator_custom_text_edge_cases() -> Iterator[str]: 'Cửa Việt', # llama-3, ignore_merges = true 'a', # Phi-3 fail '<|endoftext|>', # Phi-3 fail - 'a\na', # TODO: Bert fail - 'a b', # rstrip phi-3 - 'a b', # lstrip jina-v2 + 'a\na', # bert fail + '"`', # falcon + ' \u2e4e', # falcon + 'a\xa0\xa0\x00b', # jina-v2-es + 'one ', # jina-v2-es lstrip=true + 'a b', # rstrip phi-3 + 'a b', # lstrip jina-v2 + '\xa0aC', # deepseek ] @@ -189,17 +196,23 @@ def generator_random_added_tokens(tokenizer, iterations=100) -> Iterator[str]: for m in range(iterations): rand.seed(m) words = rand.choices(all_tokens, k=500) - if words[0] == tokenizer.bos_token: # skip spam warning of double BOS + if words and words[0] == tokenizer.bos_token: # skip spam warning of double BOS while len(words) > 1 and words[1] == tokenizer.bos_token: # leave one starting BOS words.pop(0) if tokenizer.add_bos_token: # drop all starting BOS words.pop(0) + if words and words[-1] == tokenizer.eos_token: # skip spam warning of double EOS + while len(words) > 1 and words[-2] == tokenizer.eos_token: # leave one trailing EOS + words.pop(-1) + if tokenizer.add_bos_token: # drop all trailing EOS + words.pop(-1) yield "".join(words) def generator_random_chars(iterations=100) -> Iterator[str]: """Brute force random text with simple characters""" + NUM_WORDS = 400 WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5) CHARS = list(sorted(set(""" ABCDEFGHIJKLMNOPQRSTUVWXYZ @@ -213,12 +226,50 @@ def generator_random_chars(iterations=100) -> Iterator[str]: for m in range(iterations): rand.seed(m) text = [] - num_words = rand.randint(300, 400) - for i in range(num_words): + for _ in range(NUM_WORDS): k = rand.randint(1, 7) word = rand.choices(CHARS, k=k) - space = rand.choice(WHITESPACES) - text.append("".join(word) + space) + word.append(rand.choice(WHITESPACES)) + text.append("".join(word)) + yield "".join(text) + + +def generator_unicodes() -> Iterator[str]: + """Iterate unicode characters""" + + MAX_CODEPOINTS = 0x30000 # 0x110000 + + def _valid(cpt): + if cpt >= 0x30000: # unassigned and supplement­ary + return False + if 0x00D800 <= cpt <= 0x00F8FF: # Surrogates + return False + if unicodedata.category(chr(cpt)) == "Cn": + return False + return True + + characters = [chr(cpt) for cpt in range(1, MAX_CODEPOINTS) if _valid(cpt)] + + yield from characters + + +def generator_random_unicodes(iterations=100) -> Iterator[str]: + """Brute force random text with unicode characters""" + + NUM_WORDS = 200 + WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5) + + characters = list(generator_unicodes()) + + rand = random.Random() + for m in range(iterations): + rand.seed(m) + text = [] + for _ in range(NUM_WORDS): + k = rand.randint(1, 7) + word = rand.choices(characters, k=k) + word.append(rand.choice(WHITESPACES)) + text.append("".join(word)) yield "".join(text) @@ -256,25 +307,7 @@ def generator_random_vocab_words(vocab: list[str], iterations=100) -> Iterator[s yield "".join(text) -def generator_random_bytes(iterations=100) -> Iterator[str]: - """Brute force random bytes""" - - WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5) - - rand = random.Random() - for m in range(iterations): - rand.seed(m) - text = [] - num_words = rand.randint(300, 400) - for i in range(num_words): - k = rand.randint(1, 8) - word = [chr(r) for r in rand.randbytes(k) if r] - word.append(rand.choice(WHITESPACES)) - text.append("".join(word)) - yield "".join(text) - - -def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, generator: Iterator[str]): +def compare_tokenizers(func_tokenize1: Callable, func_tokenize2: Callable, generator: Iterator[str]): def find_first_mismatch(ids1: list[int], ids2: list[int]): for i, (a, b) in enumerate(zip(ids1, ids2)): @@ -284,20 +317,34 @@ def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, g return -1 return min(len(ids1), len(ids2)) - t0 = time.perf_counter() + t_tokenizer1 = 0 + t_tokenizer2 = 0 + t_start = time.perf_counter() + num_errors = 10 + logger.info("%s: %s" % (generator.__name__, "ini")) for text in generator: + # print(repr(text), hex(ord(text[0])), text.encode()) + t0 = time.perf_counter() ids1 = func_tokenize1(text) + t1 = time.perf_counter() ids2 = func_tokenize2(text) + t2 = time.perf_counter() + t_tokenizer1 += t1 - t0 + t_tokenizer2 += t2 - t1 if ids1 != ids2: i = find_first_mismatch(ids1, ids2) ids1 = list(ids1)[max(0, i - 2) : i + 5 + 1] ids2 = list(ids2)[max(0, i - 2) : i + 5 + 1] - logger.info(" TokenIDs: " + str(ids1)) - logger.info(" Expected: " + str(ids2)) - raise Exception() - t1 = time.perf_counter() - logger.info("%s: end, time: %.3f secs" % (generator.__name__, t1 - t0)) + logger.error(" TokenIDs: " + str(ids1)) + logger.error(" Expected: " + str(ids2)) + # raise Exception() + num_errors += 1 + if num_errors > 10: + break + + t_total = time.perf_counter() - t_start + logger.info("%s: end, tok1: %.3f tok2: %.3f total: %.3f" % (generator.__name__, t_tokenizer1, t_tokenizer2, t_total)) def main(argv: list[str] = None): @@ -307,7 +354,8 @@ def main(argv: list[str] = None): parser.add_argument("--verbose", action="store_true", help="increase output verbosity") args = parser.parse_args(argv) - logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO) + logging.basicConfig(level = logging.DEBUG if args.verbose else logging.INFO) + logger.info(f"VOCABFILE: '{args.vocab_file}'") model = LibLlamaModel(LibLlama(), args.vocab_file, mparams=dict(vocab_only=True), cparams=dict(n_ctx=4096)) tokenizer = AutoTokenizer.from_pretrained(args.dir_tokenizer) @@ -321,18 +369,22 @@ def main(argv: list[str] = None): ids = func_tokenize2("a") assert 1 <= len(ids) <= 3 add_bos_token = len(ids) > 1 and tokenizer.bos_token_id == ids[0] + add_eos_token = len(ids) > 1 and tokenizer.eos_token_id == ids[-1] tokenizer.add_bos_token = getattr(tokenizer, "add_bos_token", add_bos_token) + tokenizer.add_eos_token = getattr(tokenizer, "add_eos_token", add_eos_token) vocab = list(sorted(tokenizer.batch_decode(list(tokenizer.get_vocab().values()), skip_special_tokens=True))) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text()) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases()) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_vocab_words(vocab)) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer)) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000)) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_chars(10_000)) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000)) - test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000)) - # test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_bytes(10_000)) # FAIL + + compare_tokenizers(func_tokenize1, func_tokenize2, generator_custom_text()) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases()) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_unicodes()) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_vocab_words(vocab)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_chars(10_000)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_unicodes(10_000)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000)) + compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000)) model.free() @@ -340,20 +392,40 @@ def main(argv: list[str] = None): if __name__ == "__main__": # main() + logging.basicConfig( + level = logging.DEBUG, + format = "%(asctime)s.%(msecs)03d %(name)s %(levelname)s %(message)s", + datefmt = "%Y-%m-%d %H:%M:%S", + filename = logger.name + ".log", + filemode = "a" + ) + path_tokenizers = "./models/tokenizers/" path_vocab_format = "./models/ggml-vocab-%s.gguf" # import os # tokenizers = os.listdir(path_tokenizers) tokenizers = [ - "llama-spm", # SPM - "phi-3", # SPM - "jina-v2-en", # WPM - "bert-bge", # WPM + # "llama-spm", # SPM + # "phi-3", # SPM + # "bert-bge", # WPM + # "jina-v2-en", # WPM + "gpt-2", # BPE + "llama-bpe", # BPE + "falcon", # BPE + "starcoder", # BPE + "jina-v2-es", # BPE + "jina-v2-de", # BPE + "jina-v2-code", # BPE + "smaug-bpe", # BPE + "phi-2", # BPE + "deepseek-coder", # BPE + "deepseek-llm", # BPE ] for tokenizer in tokenizers: - print("\n" + "=" * 50 + "\n" + tokenizer + "\n") # noqa + logger.info("=" * 50) + logger.info(f"TOKENIZER: '{tokenizer}'") vocab_file = path_vocab_format % tokenizer dir_tokenizer = path_tokenizers + "/" + tokenizer main([vocab_file, dir_tokenizer, "--verbose"]) diff --git a/unicode-data.cpp b/unicode-data.cpp index d7c1c898d..4a939898b 100644 --- a/unicode-data.cpp +++ b/unicode-data.cpp @@ -68,36 +68,36 @@ const std::vector> unicode_ranges_flags = { // st {0x000370, 0x0004}, {0x000375, 0x0040}, {0x000376, 0x0004}, -{0x000378, 0x0080}, +{0x000378, 0x0001}, {0x00037A, 0x0004}, {0x00037E, 0x0020}, {0x00037F, 0x0004}, -{0x000380, 0x0080}, +{0x000380, 0x0001}, {0x000384, 0x0040}, {0x000386, 0x0004}, {0x000387, 0x0020}, {0x000388, 0x0004}, -{0x00038B, 0x0080}, +{0x00038B, 0x0001}, {0x00038C, 0x0004}, -{0x00038D, 0x0080}, +{0x00038D, 0x0001}, {0x00038E, 0x0004}, -{0x0003A2, 0x0080}, +{0x0003A2, 0x0001}, {0x0003A3, 0x0004}, {0x0003F6, 0x0040}, {0x0003F7, 0x0004}, {0x000482, 0x0040}, {0x000483, 0x0010}, {0x00048A, 0x0004}, -{0x000530, 0x0080}, +{0x000530, 0x0001}, {0x000531, 0x0004}, -{0x000557, 0x0080}, +{0x000557, 0x0001}, {0x000559, 0x0004}, {0x00055A, 0x0020}, {0x000560, 0x0004}, {0x000589, 0x0020}, -{0x00058B, 0x0080}, +{0x00058B, 0x0001}, {0x00058D, 0x0040}, -{0x000590, 0x0080}, +{0x000590, 0x0001}, {0x000591, 0x0010}, {0x0005BE, 0x0020}, {0x0005BF, 0x0010}, @@ -107,12 +107,13 @@ const std::vector> unicode_ranges_flags = { // st {0x0005C4, 0x0010}, {0x0005C6, 0x0020}, {0x0005C7, 0x0010}, -{0x0005C8, 0x0080}, +{0x0005C8, 0x0001}, {0x0005D0, 0x0004}, -{0x0005EB, 0x0080}, +{0x0005EB, 0x0001}, {0x0005EF, 0x0004}, {0x0005F3, 0x0020}, -{0x0005F5, 0x0080}, +{0x0005F5, 0x0001}, +{0x000600, 0x0080}, {0x000606, 0x0040}, {0x000609, 0x0020}, {0x00060B, 0x0040}, @@ -145,16 +146,17 @@ const std::vector> unicode_ranges_flags = { // st {0x0006FD, 0x0040}, {0x0006FF, 0x0004}, {0x000700, 0x0020}, -{0x00070E, 0x0080}, +{0x00070E, 0x0001}, +{0x00070F, 0x0080}, {0x000710, 0x0004}, {0x000711, 0x0010}, {0x000712, 0x0004}, {0x000730, 0x0010}, -{0x00074B, 0x0080}, +{0x00074B, 0x0001}, {0x00074D, 0x0004}, {0x0007A6, 0x0010}, {0x0007B1, 0x0004}, -{0x0007B2, 0x0080}, +{0x0007B2, 0x0001}, {0x0007C0, 0x0002}, {0x0007CA, 0x0004}, {0x0007EB, 0x0010}, @@ -162,7 +164,7 @@ const std::vector> unicode_ranges_flags = { // st {0x0007F6, 0x0040}, {0x0007F7, 0x0020}, {0x0007FA, 0x0004}, -{0x0007FB, 0x0080}, +{0x0007FB, 0x0001}, {0x0007FD, 0x0010}, {0x0007FE, 0x0040}, {0x000800, 0x0004}, @@ -173,20 +175,22 @@ const std::vector> unicode_ranges_flags = { // st {0x000825, 0x0010}, {0x000828, 0x0004}, {0x000829, 0x0010}, -{0x00082E, 0x0080}, +{0x00082E, 0x0001}, {0x000830, 0x0020}, -{0x00083F, 0x0080}, +{0x00083F, 0x0001}, {0x000840, 0x0004}, {0x000859, 0x0010}, -{0x00085C, 0x0080}, +{0x00085C, 0x0001}, {0x00085E, 0x0020}, -{0x00085F, 0x0080}, +{0x00085F, 0x0001}, {0x000860, 0x0004}, -{0x00086B, 0x0080}, +{0x00086B, 0x0001}, {0x000870, 0x0004}, {0x000888, 0x0040}, {0x000889, 0x0004}, -{0x00088F, 0x0080}, +{0x00088F, 0x0001}, +{0x000890, 0x0080}, +{0x000892, 0x0001}, {0x000898, 0x0010}, {0x0008A0, 0x0004}, {0x0008CA, 0x0010}, @@ -205,35 +209,35 @@ const std::vector> unicode_ranges_flags = { // st {0x000970, 0x0020}, {0x000971, 0x0004}, {0x000981, 0x0010}, -{0x000984, 0x0080}, +{0x000984, 0x0001}, {0x000985, 0x0004}, -{0x00098D, 0x0080}, +{0x00098D, 0x0001}, {0x00098F, 0x0004}, -{0x000991, 0x0080}, +{0x000991, 0x0001}, {0x000993, 0x0004}, -{0x0009A9, 0x0080}, +{0x0009A9, 0x0001}, {0x0009AA, 0x0004}, -{0x0009B1, 0x0080}, +{0x0009B1, 0x0001}, {0x0009B2, 0x0004}, -{0x0009B3, 0x0080}, +{0x0009B3, 0x0001}, {0x0009B6, 0x0004}, -{0x0009BA, 0x0080}, +{0x0009BA, 0x0001}, {0x0009BC, 0x0010}, {0x0009BD, 0x0004}, {0x0009BE, 0x0010}, -{0x0009C5, 0x0080}, +{0x0009C5, 0x0001}, {0x0009C7, 0x0010}, -{0x0009C9, 0x0080}, +{0x0009C9, 0x0001}, {0x0009CB, 0x0010}, {0x0009CE, 0x0004}, -{0x0009CF, 0x0080}, +{0x0009CF, 0x0001}, {0x0009D7, 0x0010}, -{0x0009D8, 0x0080}, +{0x0009D8, 0x0001}, {0x0009DC, 0x0004}, -{0x0009DE, 0x0080}, +{0x0009DE, 0x0001}, {0x0009DF, 0x0004}, {0x0009E2, 0x0010}, -{0x0009E4, 0x0080}, +{0x0009E4, 0x0001}, {0x0009E6, 0x0002}, {0x0009F0, 0x0004}, {0x0009F2, 0x0040}, @@ -242,173 +246,173 @@ const std::vector> unicode_ranges_flags = { // st {0x0009FC, 0x0004}, {0x0009FD, 0x0020}, {0x0009FE, 0x0010}, -{0x0009FF, 0x0080}, +{0x0009FF, 0x0001}, {0x000A01, 0x0010}, -{0x000A04, 0x0080}, +{0x000A04, 0x0001}, {0x000A05, 0x0004}, -{0x000A0B, 0x0080}, +{0x000A0B, 0x0001}, {0x000A0F, 0x0004}, -{0x000A11, 0x0080}, +{0x000A11, 0x0001}, {0x000A13, 0x0004}, -{0x000A29, 0x0080}, +{0x000A29, 0x0001}, {0x000A2A, 0x0004}, -{0x000A31, 0x0080}, +{0x000A31, 0x0001}, {0x000A32, 0x0004}, -{0x000A34, 0x0080}, +{0x000A34, 0x0001}, {0x000A35, 0x0004}, -{0x000A37, 0x0080}, +{0x000A37, 0x0001}, {0x000A38, 0x0004}, -{0x000A3A, 0x0080}, +{0x000A3A, 0x0001}, {0x000A3C, 0x0010}, -{0x000A3D, 0x0080}, +{0x000A3D, 0x0001}, {0x000A3E, 0x0010}, -{0x000A43, 0x0080}, +{0x000A43, 0x0001}, {0x000A47, 0x0010}, -{0x000A49, 0x0080}, +{0x000A49, 0x0001}, {0x000A4B, 0x0010}, -{0x000A4E, 0x0080}, +{0x000A4E, 0x0001}, {0x000A51, 0x0010}, -{0x000A52, 0x0080}, +{0x000A52, 0x0001}, {0x000A59, 0x0004}, -{0x000A5D, 0x0080}, +{0x000A5D, 0x0001}, {0x000A5E, 0x0004}, -{0x000A5F, 0x0080}, +{0x000A5F, 0x0001}, {0x000A66, 0x0002}, {0x000A70, 0x0010}, {0x000A72, 0x0004}, {0x000A75, 0x0010}, {0x000A76, 0x0020}, -{0x000A77, 0x0080}, +{0x000A77, 0x0001}, {0x000A81, 0x0010}, -{0x000A84, 0x0080}, +{0x000A84, 0x0001}, {0x000A85, 0x0004}, -{0x000A8E, 0x0080}, +{0x000A8E, 0x0001}, {0x000A8F, 0x0004}, -{0x000A92, 0x0080}, +{0x000A92, 0x0001}, {0x000A93, 0x0004}, -{0x000AA9, 0x0080}, +{0x000AA9, 0x0001}, {0x000AAA, 0x0004}, -{0x000AB1, 0x0080}, +{0x000AB1, 0x0001}, {0x000AB2, 0x0004}, -{0x000AB4, 0x0080}, +{0x000AB4, 0x0001}, {0x000AB5, 0x0004}, -{0x000ABA, 0x0080}, +{0x000ABA, 0x0001}, {0x000ABC, 0x0010}, {0x000ABD, 0x0004}, {0x000ABE, 0x0010}, -{0x000AC6, 0x0080}, +{0x000AC6, 0x0001}, {0x000AC7, 0x0010}, -{0x000ACA, 0x0080}, +{0x000ACA, 0x0001}, {0x000ACB, 0x0010}, -{0x000ACE, 0x0080}, +{0x000ACE, 0x0001}, {0x000AD0, 0x0004}, -{0x000AD1, 0x0080}, +{0x000AD1, 0x0001}, {0x000AE0, 0x0004}, {0x000AE2, 0x0010}, -{0x000AE4, 0x0080}, +{0x000AE4, 0x0001}, {0x000AE6, 0x0002}, {0x000AF0, 0x0020}, {0x000AF1, 0x0040}, -{0x000AF2, 0x0080}, +{0x000AF2, 0x0001}, {0x000AF9, 0x0004}, {0x000AFA, 0x0010}, -{0x000B00, 0x0080}, +{0x000B00, 0x0001}, {0x000B01, 0x0010}, -{0x000B04, 0x0080}, +{0x000B04, 0x0001}, {0x000B05, 0x0004}, -{0x000B0D, 0x0080}, +{0x000B0D, 0x0001}, {0x000B0F, 0x0004}, -{0x000B11, 0x0080}, +{0x000B11, 0x0001}, {0x000B13, 0x0004}, -{0x000B29, 0x0080}, +{0x000B29, 0x0001}, {0x000B2A, 0x0004}, -{0x000B31, 0x0080}, +{0x000B31, 0x0001}, {0x000B32, 0x0004}, -{0x000B34, 0x0080}, +{0x000B34, 0x0001}, {0x000B35, 0x0004}, -{0x000B3A, 0x0080}, +{0x000B3A, 0x0001}, {0x000B3C, 0x0010}, {0x000B3D, 0x0004}, {0x000B3E, 0x0010}, -{0x000B45, 0x0080}, +{0x000B45, 0x0001}, {0x000B47, 0x0010}, -{0x000B49, 0x0080}, +{0x000B49, 0x0001}, {0x000B4B, 0x0010}, -{0x000B4E, 0x0080}, +{0x000B4E, 0x0001}, {0x000B55, 0x0010}, -{0x000B58, 0x0080}, +{0x000B58, 0x0001}, {0x000B5C, 0x0004}, -{0x000B5E, 0x0080}, +{0x000B5E, 0x0001}, {0x000B5F, 0x0004}, {0x000B62, 0x0010}, -{0x000B64, 0x0080}, +{0x000B64, 0x0001}, {0x000B66, 0x0002}, {0x000B70, 0x0040}, {0x000B71, 0x0004}, {0x000B72, 0x0002}, -{0x000B78, 0x0080}, +{0x000B78, 0x0001}, {0x000B82, 0x0010}, {0x000B83, 0x0004}, -{0x000B84, 0x0080}, +{0x000B84, 0x0001}, {0x000B85, 0x0004}, -{0x000B8B, 0x0080}, +{0x000B8B, 0x0001}, {0x000B8E, 0x0004}, -{0x000B91, 0x0080}, +{0x000B91, 0x0001}, {0x000B92, 0x0004}, -{0x000B96, 0x0080}, +{0x000B96, 0x0001}, {0x000B99, 0x0004}, -{0x000B9B, 0x0080}, +{0x000B9B, 0x0001}, {0x000B9C, 0x0004}, -{0x000B9D, 0x0080}, +{0x000B9D, 0x0001}, {0x000B9E, 0x0004}, -{0x000BA0, 0x0080}, +{0x000BA0, 0x0001}, {0x000BA3, 0x0004}, -{0x000BA5, 0x0080}, +{0x000BA5, 0x0001}, {0x000BA8, 0x0004}, -{0x000BAB, 0x0080}, +{0x000BAB, 0x0001}, {0x000BAE, 0x0004}, -{0x000BBA, 0x0080}, +{0x000BBA, 0x0001}, {0x000BBE, 0x0010}, -{0x000BC3, 0x0080}, +{0x000BC3, 0x0001}, {0x000BC6, 0x0010}, -{0x000BC9, 0x0080}, +{0x000BC9, 0x0001}, {0x000BCA, 0x0010}, -{0x000BCE, 0x0080}, +{0x000BCE, 0x0001}, {0x000BD0, 0x0004}, -{0x000BD1, 0x0080}, +{0x000BD1, 0x0001}, {0x000BD7, 0x0010}, -{0x000BD8, 0x0080}, +{0x000BD8, 0x0001}, {0x000BE6, 0x0002}, {0x000BF3, 0x0040}, -{0x000BFB, 0x0080}, +{0x000BFB, 0x0001}, {0x000C00, 0x0010}, {0x000C05, 0x0004}, -{0x000C0D, 0x0080}, +{0x000C0D, 0x0001}, {0x000C0E, 0x0004}, -{0x000C11, 0x0080}, +{0x000C11, 0x0001}, {0x000C12, 0x0004}, -{0x000C29, 0x0080}, +{0x000C29, 0x0001}, {0x000C2A, 0x0004}, -{0x000C3A, 0x0080}, +{0x000C3A, 0x0001}, {0x000C3C, 0x0010}, {0x000C3D, 0x0004}, {0x000C3E, 0x0010}, -{0x000C45, 0x0080}, +{0x000C45, 0x0001}, {0x000C46, 0x0010}, -{0x000C49, 0x0080}, +{0x000C49, 0x0001}, {0x000C4A, 0x0010}, -{0x000C4E, 0x0080}, +{0x000C4E, 0x0001}, {0x000C55, 0x0010}, -{0x000C57, 0x0080}, +{0x000C57, 0x0001}, {0x000C58, 0x0004}, -{0x000C5B, 0x0080}, +{0x000C5B, 0x0001}, {0x000C5D, 0x0004}, -{0x000C5E, 0x0080}, +{0x000C5E, 0x0001}, {0x000C60, 0x0004}, {0x000C62, 0x0010}, -{0x000C64, 0x0080}, +{0x000C64, 0x0001}, {0x000C66, 0x0002}, -{0x000C70, 0x0080}, +{0x000C70, 0x0001}, {0x000C77, 0x0020}, {0x000C78, 0x0002}, {0x000C7F, 0x0040}, @@ -416,124 +420,124 @@ const std::vector> unicode_ranges_flags = { // st {0x000C81, 0x0010}, {0x000C84, 0x0020}, {0x000C85, 0x0004}, -{0x000C8D, 0x0080}, +{0x000C8D, 0x0001}, {0x000C8E, 0x0004}, -{0x000C91, 0x0080}, +{0x000C91, 0x0001}, {0x000C92, 0x0004}, -{0x000CA9, 0x0080}, +{0x000CA9, 0x0001}, {0x000CAA, 0x0004}, -{0x000CB4, 0x0080}, +{0x000CB4, 0x0001}, {0x000CB5, 0x0004}, -{0x000CBA, 0x0080}, +{0x000CBA, 0x0001}, {0x000CBC, 0x0010}, {0x000CBD, 0x0004}, {0x000CBE, 0x0010}, -{0x000CC5, 0x0080}, +{0x000CC5, 0x0001}, {0x000CC6, 0x0010}, -{0x000CC9, 0x0080}, +{0x000CC9, 0x0001}, {0x000CCA, 0x0010}, -{0x000CCE, 0x0080}, +{0x000CCE, 0x0001}, {0x000CD5, 0x0010}, -{0x000CD7, 0x0080}, +{0x000CD7, 0x0001}, {0x000CDD, 0x0004}, -{0x000CDF, 0x0080}, +{0x000CDF, 0x0001}, {0x000CE0, 0x0004}, {0x000CE2, 0x0010}, -{0x000CE4, 0x0080}, +{0x000CE4, 0x0001}, {0x000CE6, 0x0002}, -{0x000CF0, 0x0080}, +{0x000CF0, 0x0001}, {0x000CF1, 0x0004}, {0x000CF3, 0x0010}, -{0x000CF4, 0x0080}, +{0x000CF4, 0x0001}, {0x000D00, 0x0010}, {0x000D04, 0x0004}, -{0x000D0D, 0x0080}, +{0x000D0D, 0x0001}, {0x000D0E, 0x0004}, -{0x000D11, 0x0080}, +{0x000D11, 0x0001}, {0x000D12, 0x0004}, {0x000D3B, 0x0010}, {0x000D3D, 0x0004}, {0x000D3E, 0x0010}, -{0x000D45, 0x0080}, +{0x000D45, 0x0001}, {0x000D46, 0x0010}, -{0x000D49, 0x0080}, +{0x000D49, 0x0001}, {0x000D4A, 0x0010}, {0x000D4E, 0x0004}, {0x000D4F, 0x0040}, -{0x000D50, 0x0080}, +{0x000D50, 0x0001}, {0x000D54, 0x0004}, {0x000D57, 0x0010}, {0x000D58, 0x0002}, {0x000D5F, 0x0004}, {0x000D62, 0x0010}, -{0x000D64, 0x0080}, +{0x000D64, 0x0001}, {0x000D66, 0x0002}, {0x000D79, 0x0040}, {0x000D7A, 0x0004}, -{0x000D80, 0x0080}, +{0x000D80, 0x0001}, {0x000D81, 0x0010}, -{0x000D84, 0x0080}, +{0x000D84, 0x0001}, {0x000D85, 0x0004}, -{0x000D97, 0x0080}, +{0x000D97, 0x0001}, {0x000D9A, 0x0004}, -{0x000DB2, 0x0080}, +{0x000DB2, 0x0001}, {0x000DB3, 0x0004}, -{0x000DBC, 0x0080}, +{0x000DBC, 0x0001}, {0x000DBD, 0x0004}, -{0x000DBE, 0x0080}, +{0x000DBE, 0x0001}, {0x000DC0, 0x0004}, -{0x000DC7, 0x0080}, +{0x000DC7, 0x0001}, {0x000DCA, 0x0010}, -{0x000DCB, 0x0080}, +{0x000DCB, 0x0001}, {0x000DCF, 0x0010}, -{0x000DD5, 0x0080}, +{0x000DD5, 0x0001}, {0x000DD6, 0x0010}, -{0x000DD7, 0x0080}, +{0x000DD7, 0x0001}, {0x000DD8, 0x0010}, -{0x000DE0, 0x0080}, +{0x000DE0, 0x0001}, {0x000DE6, 0x0002}, -{0x000DF0, 0x0080}, +{0x000DF0, 0x0001}, {0x000DF2, 0x0010}, {0x000DF4, 0x0020}, -{0x000DF5, 0x0080}, +{0x000DF5, 0x0001}, {0x000E01, 0x0004}, {0x000E31, 0x0010}, {0x000E32, 0x0004}, {0x000E34, 0x0010}, -{0x000E3B, 0x0080}, +{0x000E3B, 0x0001}, {0x000E3F, 0x0040}, {0x000E40, 0x0004}, {0x000E47, 0x0010}, {0x000E4F, 0x0020}, {0x000E50, 0x0002}, {0x000E5A, 0x0020}, -{0x000E5C, 0x0080}, +{0x000E5C, 0x0001}, {0x000E81, 0x0004}, -{0x000E83, 0x0080}, +{0x000E83, 0x0001}, {0x000E84, 0x0004}, -{0x000E85, 0x0080}, +{0x000E85, 0x0001}, {0x000E86, 0x0004}, -{0x000E8B, 0x0080}, +{0x000E8B, 0x0001}, {0x000E8C, 0x0004}, -{0x000EA4, 0x0080}, +{0x000EA4, 0x0001}, {0x000EA5, 0x0004}, -{0x000EA6, 0x0080}, +{0x000EA6, 0x0001}, {0x000EA7, 0x0004}, {0x000EB1, 0x0010}, {0x000EB2, 0x0004}, {0x000EB4, 0x0010}, {0x000EBD, 0x0004}, -{0x000EBE, 0x0080}, +{0x000EBE, 0x0001}, {0x000EC0, 0x0004}, -{0x000EC5, 0x0080}, +{0x000EC5, 0x0001}, {0x000EC6, 0x0004}, -{0x000EC7, 0x0080}, +{0x000EC7, 0x0001}, {0x000EC8, 0x0010}, -{0x000ECF, 0x0080}, +{0x000ECF, 0x0001}, {0x000ED0, 0x0002}, -{0x000EDA, 0x0080}, +{0x000EDA, 0x0001}, {0x000EDC, 0x0004}, -{0x000EE0, 0x0080}, +{0x000EE0, 0x0001}, {0x000F00, 0x0004}, {0x000F01, 0x0040}, {0x000F04, 0x0020}, @@ -552,26 +556,26 @@ const std::vector> unicode_ranges_flags = { // st {0x000F3A, 0x0020}, {0x000F3E, 0x0010}, {0x000F40, 0x0004}, -{0x000F48, 0x0080}, +{0x000F48, 0x0001}, {0x000F49, 0x0004}, -{0x000F6D, 0x0080}, +{0x000F6D, 0x0001}, {0x000F71, 0x0010}, {0x000F85, 0x0020}, {0x000F86, 0x0010}, {0x000F88, 0x0004}, {0x000F8D, 0x0010}, -{0x000F98, 0x0080}, +{0x000F98, 0x0001}, {0x000F99, 0x0010}, -{0x000FBD, 0x0080}, +{0x000FBD, 0x0001}, {0x000FBE, 0x0040}, {0x000FC6, 0x0010}, {0x000FC7, 0x0040}, -{0x000FCD, 0x0080}, +{0x000FCD, 0x0001}, {0x000FCE, 0x0040}, {0x000FD0, 0x0020}, {0x000FD5, 0x0040}, {0x000FD9, 0x0020}, -{0x000FDB, 0x0080}, +{0x000FDB, 0x0001}, {0x001000, 0x0004}, {0x00102B, 0x0010}, {0x00103F, 0x0004}, @@ -595,56 +599,56 @@ const std::vector> unicode_ranges_flags = { // st {0x00109A, 0x0010}, {0x00109E, 0x0040}, {0x0010A0, 0x0004}, -{0x0010C6, 0x0080}, +{0x0010C6, 0x0001}, {0x0010C7, 0x0004}, -{0x0010C8, 0x0080}, +{0x0010C8, 0x0001}, {0x0010CD, 0x0004}, -{0x0010CE, 0x0080}, +{0x0010CE, 0x0001}, {0x0010D0, 0x0004}, {0x0010FB, 0x0020}, {0x0010FC, 0x0004}, -{0x001249, 0x0080}, +{0x001249, 0x0001}, {0x00124A, 0x0004}, -{0x00124E, 0x0080}, +{0x00124E, 0x0001}, {0x001250, 0x0004}, -{0x001257, 0x0080}, +{0x001257, 0x0001}, {0x001258, 0x0004}, -{0x001259, 0x0080}, +{0x001259, 0x0001}, {0x00125A, 0x0004}, -{0x00125E, 0x0080}, +{0x00125E, 0x0001}, {0x001260, 0x0004}, -{0x001289, 0x0080}, +{0x001289, 0x0001}, {0x00128A, 0x0004}, -{0x00128E, 0x0080}, +{0x00128E, 0x0001}, {0x001290, 0x0004}, -{0x0012B1, 0x0080}, +{0x0012B1, 0x0001}, {0x0012B2, 0x0004}, -{0x0012B6, 0x0080}, +{0x0012B6, 0x0001}, {0x0012B8, 0x0004}, -{0x0012BF, 0x0080}, +{0x0012BF, 0x0001}, {0x0012C0, 0x0004}, -{0x0012C1, 0x0080}, +{0x0012C1, 0x0001}, {0x0012C2, 0x0004}, -{0x0012C6, 0x0080}, +{0x0012C6, 0x0001}, {0x0012C8, 0x0004}, -{0x0012D7, 0x0080}, +{0x0012D7, 0x0001}, {0x0012D8, 0x0004}, -{0x001311, 0x0080}, +{0x001311, 0x0001}, {0x001312, 0x0004}, -{0x001316, 0x0080}, +{0x001316, 0x0001}, {0x001318, 0x0004}, -{0x00135B, 0x0080}, +{0x00135B, 0x0001}, {0x00135D, 0x0010}, {0x001360, 0x0020}, {0x001369, 0x0002}, -{0x00137D, 0x0080}, +{0x00137D, 0x0001}, {0x001380, 0x0004}, {0x001390, 0x0040}, -{0x00139A, 0x0080}, +{0x00139A, 0x0001}, {0x0013A0, 0x0004}, -{0x0013F6, 0x0080}, +{0x0013F6, 0x0001}, {0x0013F8, 0x0004}, -{0x0013FE, 0x0080}, +{0x0013FE, 0x0001}, {0x001400, 0x0020}, {0x001401, 0x0004}, {0x00166D, 0x0040}, @@ -653,28 +657,28 @@ const std::vector> unicode_ranges_flags = { // st {0x001680, 0x0008}, {0x001681, 0x0004}, {0x00169B, 0x0020}, -{0x00169D, 0x0080}, +{0x00169D, 0x0001}, {0x0016A0, 0x0004}, {0x0016EB, 0x0020}, {0x0016EE, 0x0002}, {0x0016F1, 0x0004}, -{0x0016F9, 0x0080}, +{0x0016F9, 0x0001}, {0x001700, 0x0004}, {0x001712, 0x0010}, -{0x001716, 0x0080}, +{0x001716, 0x0001}, {0x00171F, 0x0004}, {0x001732, 0x0010}, {0x001735, 0x0020}, -{0x001737, 0x0080}, +{0x001737, 0x0001}, {0x001740, 0x0004}, {0x001752, 0x0010}, -{0x001754, 0x0080}, +{0x001754, 0x0001}, {0x001760, 0x0004}, -{0x00176D, 0x0080}, +{0x00176D, 0x0001}, {0x00176E, 0x0004}, -{0x001771, 0x0080}, +{0x001771, 0x0001}, {0x001772, 0x0010}, -{0x001774, 0x0080}, +{0x001774, 0x0001}, {0x001780, 0x0004}, {0x0017B4, 0x0010}, {0x0017D4, 0x0020}, @@ -683,80 +687,80 @@ const std::vector> unicode_ranges_flags = { // st {0x0017DB, 0x0040}, {0x0017DC, 0x0004}, {0x0017DD, 0x0010}, -{0x0017DE, 0x0080}, +{0x0017DE, 0x0001}, {0x0017E0, 0x0002}, -{0x0017EA, 0x0080}, +{0x0017EA, 0x0001}, {0x0017F0, 0x0002}, -{0x0017FA, 0x0080}, +{0x0017FA, 0x0001}, {0x001800, 0x0020}, {0x00180B, 0x0010}, {0x00180E, 0x0080}, {0x00180F, 0x0010}, {0x001810, 0x0002}, -{0x00181A, 0x0080}, +{0x00181A, 0x0001}, {0x001820, 0x0004}, -{0x001879, 0x0080}, +{0x001879, 0x0001}, {0x001880, 0x0004}, {0x001885, 0x0010}, {0x001887, 0x0004}, {0x0018A9, 0x0010}, {0x0018AA, 0x0004}, -{0x0018AB, 0x0080}, +{0x0018AB, 0x0001}, {0x0018B0, 0x0004}, -{0x0018F6, 0x0080}, +{0x0018F6, 0x0001}, {0x001900, 0x0004}, -{0x00191F, 0x0080}, +{0x00191F, 0x0001}, {0x001920, 0x0010}, -{0x00192C, 0x0080}, +{0x00192C, 0x0001}, {0x001930, 0x0010}, -{0x00193C, 0x0080}, +{0x00193C, 0x0001}, {0x001940, 0x0040}, -{0x001941, 0x0080}, +{0x001941, 0x0001}, {0x001944, 0x0020}, {0x001946, 0x0002}, {0x001950, 0x0004}, -{0x00196E, 0x0080}, +{0x00196E, 0x0001}, {0x001970, 0x0004}, -{0x001975, 0x0080}, +{0x001975, 0x0001}, {0x001980, 0x0004}, -{0x0019AC, 0x0080}, +{0x0019AC, 0x0001}, {0x0019B0, 0x0004}, -{0x0019CA, 0x0080}, +{0x0019CA, 0x0001}, {0x0019D0, 0x0002}, -{0x0019DB, 0x0080}, +{0x0019DB, 0x0001}, {0x0019DE, 0x0040}, {0x001A00, 0x0004}, {0x001A17, 0x0010}, -{0x001A1C, 0x0080}, +{0x001A1C, 0x0001}, {0x001A1E, 0x0020}, {0x001A20, 0x0004}, {0x001A55, 0x0010}, -{0x001A5F, 0x0080}, +{0x001A5F, 0x0001}, {0x001A60, 0x0010}, -{0x001A7D, 0x0080}, +{0x001A7D, 0x0001}, {0x001A7F, 0x0010}, {0x001A80, 0x0002}, -{0x001A8A, 0x0080}, +{0x001A8A, 0x0001}, {0x001A90, 0x0002}, -{0x001A9A, 0x0080}, +{0x001A9A, 0x0001}, {0x001AA0, 0x0020}, {0x001AA7, 0x0004}, {0x001AA8, 0x0020}, -{0x001AAE, 0x0080}, +{0x001AAE, 0x0001}, {0x001AB0, 0x0010}, -{0x001ACF, 0x0080}, +{0x001ACF, 0x0001}, {0x001B00, 0x0010}, {0x001B05, 0x0004}, {0x001B34, 0x0010}, {0x001B45, 0x0004}, -{0x001B4D, 0x0080}, +{0x001B4D, 0x0001}, {0x001B50, 0x0002}, {0x001B5A, 0x0020}, {0x001B61, 0x0040}, {0x001B6B, 0x0010}, {0x001B74, 0x0040}, {0x001B7D, 0x0020}, -{0x001B7F, 0x0080}, +{0x001B7F, 0x0001}, {0x001B80, 0x0010}, {0x001B83, 0x0004}, {0x001BA1, 0x0010}, @@ -764,25 +768,25 @@ const std::vector> unicode_ranges_flags = { // st {0x001BB0, 0x0002}, {0x001BBA, 0x0004}, {0x001BE6, 0x0010}, -{0x001BF4, 0x0080}, +{0x001BF4, 0x0001}, {0x001BFC, 0x0020}, {0x001C00, 0x0004}, {0x001C24, 0x0010}, -{0x001C38, 0x0080}, +{0x001C38, 0x0001}, {0x001C3B, 0x0020}, {0x001C40, 0x0002}, -{0x001C4A, 0x0080}, +{0x001C4A, 0x0001}, {0x001C4D, 0x0004}, {0x001C50, 0x0002}, {0x001C5A, 0x0004}, {0x001C7E, 0x0020}, {0x001C80, 0x0004}, -{0x001C89, 0x0080}, +{0x001C89, 0x0001}, {0x001C90, 0x0004}, -{0x001CBB, 0x0080}, +{0x001CBB, 0x0001}, {0x001CBD, 0x0004}, {0x001CC0, 0x0020}, -{0x001CC8, 0x0080}, +{0x001CC8, 0x0001}, {0x001CD0, 0x0010}, {0x001CD3, 0x0020}, {0x001CD4, 0x0010}, @@ -793,50 +797,50 @@ const std::vector> unicode_ranges_flags = { // st {0x001CF5, 0x0004}, {0x001CF7, 0x0010}, {0x001CFA, 0x0004}, -{0x001CFB, 0x0080}, +{0x001CFB, 0x0001}, {0x001D00, 0x0004}, {0x001DC0, 0x0010}, {0x001E00, 0x0004}, -{0x001F16, 0x0080}, +{0x001F16, 0x0001}, {0x001F18, 0x0004}, -{0x001F1E, 0x0080}, +{0x001F1E, 0x0001}, {0x001F20, 0x0004}, -{0x001F46, 0x0080}, +{0x001F46, 0x0001}, {0x001F48, 0x0004}, -{0x001F4E, 0x0080}, +{0x001F4E, 0x0001}, {0x001F50, 0x0004}, -{0x001F58, 0x0080}, +{0x001F58, 0x0001}, {0x001F59, 0x0004}, -{0x001F5A, 0x0080}, +{0x001F5A, 0x0001}, {0x001F5B, 0x0004}, -{0x001F5C, 0x0080}, +{0x001F5C, 0x0001}, {0x001F5D, 0x0004}, -{0x001F5E, 0x0080}, +{0x001F5E, 0x0001}, {0x001F5F, 0x0004}, -{0x001F7E, 0x0080}, +{0x001F7E, 0x0001}, {0x001F80, 0x0004}, -{0x001FB5, 0x0080}, +{0x001FB5, 0x0001}, {0x001FB6, 0x0004}, {0x001FBD, 0x0040}, {0x001FBE, 0x0004}, {0x001FBF, 0x0040}, {0x001FC2, 0x0004}, -{0x001FC5, 0x0080}, +{0x001FC5, 0x0001}, {0x001FC6, 0x0004}, {0x001FCD, 0x0040}, {0x001FD0, 0x0004}, -{0x001FD4, 0x0080}, +{0x001FD4, 0x0001}, {0x001FD6, 0x0004}, -{0x001FDC, 0x0080}, +{0x001FDC, 0x0001}, {0x001FDD, 0x0040}, {0x001FE0, 0x0004}, {0x001FED, 0x0040}, -{0x001FF0, 0x0080}, +{0x001FF0, 0x0001}, {0x001FF2, 0x0004}, -{0x001FF5, 0x0080}, +{0x001FF5, 0x0001}, {0x001FF6, 0x0004}, {0x001FFD, 0x0040}, -{0x001FFF, 0x0080}, +{0x001FFF, 0x0001}, {0x002000, 0x0008}, {0x00200B, 0x0080}, {0x002010, 0x0020}, @@ -850,9 +854,11 @@ const std::vector> unicode_ranges_flags = { // st {0x002053, 0x0020}, {0x00205F, 0x0008}, {0x002060, 0x0080}, +{0x002065, 0x0001}, +{0x002066, 0x0080}, {0x002070, 0x0002}, {0x002071, 0x0004}, -{0x002072, 0x0080}, +{0x002072, 0x0001}, {0x002074, 0x0002}, {0x00207A, 0x0040}, {0x00207D, 0x0020}, @@ -860,13 +866,13 @@ const std::vector> unicode_ranges_flags = { // st {0x002080, 0x0002}, {0x00208A, 0x0040}, {0x00208D, 0x0020}, -{0x00208F, 0x0080}, +{0x00208F, 0x0001}, {0x002090, 0x0004}, -{0x00209D, 0x0080}, +{0x00209D, 0x0001}, {0x0020A0, 0x0040}, -{0x0020C1, 0x0080}, +{0x0020C1, 0x0001}, {0x0020D0, 0x0010}, -{0x0020F1, 0x0080}, +{0x0020F1, 0x0001}, {0x002100, 0x0040}, {0x002102, 0x0004}, {0x002103, 0x0040}, @@ -898,15 +904,15 @@ const std::vector> unicode_ranges_flags = { // st {0x002183, 0x0004}, {0x002185, 0x0002}, {0x00218A, 0x0040}, -{0x00218C, 0x0080}, +{0x00218C, 0x0001}, {0x002190, 0x0040}, {0x002308, 0x0020}, {0x00230C, 0x0040}, {0x002329, 0x0020}, {0x00232B, 0x0040}, -{0x002427, 0x0080}, +{0x002427, 0x0001}, {0x002440, 0x0040}, -{0x00244B, 0x0080}, +{0x00244B, 0x0001}, {0x002460, 0x0002}, {0x00249C, 0x0040}, {0x0024EA, 0x0002}, @@ -924,62 +930,62 @@ const std::vector> unicode_ranges_flags = { // st {0x0029DC, 0x0040}, {0x0029FC, 0x0020}, {0x0029FE, 0x0040}, -{0x002B74, 0x0080}, +{0x002B74, 0x0001}, {0x002B76, 0x0040}, -{0x002B96, 0x0080}, +{0x002B96, 0x0001}, {0x002B97, 0x0040}, {0x002C00, 0x0004}, {0x002CE5, 0x0040}, {0x002CEB, 0x0004}, {0x002CEF, 0x0010}, {0x002CF2, 0x0004}, -{0x002CF4, 0x0080}, +{0x002CF4, 0x0001}, {0x002CF9, 0x0020}, {0x002CFD, 0x0002}, {0x002CFE, 0x0020}, {0x002D00, 0x0004}, -{0x002D26, 0x0080}, +{0x002D26, 0x0001}, {0x002D27, 0x0004}, -{0x002D28, 0x0080}, +{0x002D28, 0x0001}, {0x002D2D, 0x0004}, -{0x002D2E, 0x0080}, +{0x002D2E, 0x0001}, {0x002D30, 0x0004}, -{0x002D68, 0x0080}, +{0x002D68, 0x0001}, {0x002D6F, 0x0004}, {0x002D70, 0x0020}, -{0x002D71, 0x0080}, +{0x002D71, 0x0001}, {0x002D7F, 0x0010}, {0x002D80, 0x0004}, -{0x002D97, 0x0080}, +{0x002D97, 0x0001}, {0x002DA0, 0x0004}, -{0x002DA7, 0x0080}, +{0x002DA7, 0x0001}, {0x002DA8, 0x0004}, -{0x002DAF, 0x0080}, +{0x002DAF, 0x0001}, {0x002DB0, 0x0004}, -{0x002DB7, 0x0080}, +{0x002DB7, 0x0001}, {0x002DB8, 0x0004}, -{0x002DBF, 0x0080}, +{0x002DBF, 0x0001}, {0x002DC0, 0x0004}, -{0x002DC7, 0x0080}, +{0x002DC7, 0x0001}, {0x002DC8, 0x0004}, -{0x002DCF, 0x0080}, +{0x002DCF, 0x0001}, {0x002DD0, 0x0004}, -{0x002DD7, 0x0080}, +{0x002DD7, 0x0001}, {0x002DD8, 0x0004}, -{0x002DDF, 0x0080}, +{0x002DDF, 0x0001}, {0x002DE0, 0x0010}, {0x002E00, 0x0020}, {0x002E2F, 0x0004}, {0x002E30, 0x0020}, {0x002E50, 0x0040}, {0x002E52, 0x0020}, -{0x002E5E, 0x0080}, +{0x002E5E, 0x0001}, {0x002E80, 0x0040}, -{0x002E9A, 0x0080}, +{0x002E9A, 0x0001}, {0x002E9B, 0x0040}, -{0x002EF4, 0x0080}, +{0x002EF4, 0x0001}, {0x002F00, 0x0040}, -{0x002FD6, 0x0080}, +{0x002FD6, 0x0001}, {0x002FF0, 0x0040}, {0x003000, 0x0008}, {0x003001, 0x0020}, @@ -999,9 +1005,9 @@ const std::vector> unicode_ranges_flags = { // st {0x00303B, 0x0004}, {0x00303D, 0x0020}, {0x00303E, 0x0040}, -{0x003040, 0x0080}, +{0x003040, 0x0001}, {0x003041, 0x0004}, -{0x003097, 0x0080}, +{0x003097, 0x0001}, {0x003099, 0x0010}, {0x00309B, 0x0040}, {0x00309D, 0x0004}, @@ -1009,21 +1015,21 @@ const std::vector> unicode_ranges_flags = { // st {0x0030A1, 0x0004}, {0x0030FB, 0x0020}, {0x0030FC, 0x0004}, -{0x003100, 0x0080}, +{0x003100, 0x0001}, {0x003105, 0x0004}, -{0x003130, 0x0080}, +{0x003130, 0x0001}, {0x003131, 0x0004}, -{0x00318F, 0x0080}, +{0x00318F, 0x0001}, {0x003190, 0x0040}, {0x003192, 0x0002}, {0x003196, 0x0040}, {0x0031A0, 0x0004}, {0x0031C0, 0x0040}, -{0x0031E4, 0x0080}, +{0x0031E4, 0x0001}, {0x0031EF, 0x0040}, {0x0031F0, 0x0004}, {0x003200, 0x0040}, -{0x00321F, 0x0080}, +{0x00321F, 0x0001}, {0x003220, 0x0002}, {0x00322A, 0x0040}, {0x003248, 0x0002}, @@ -1037,9 +1043,9 @@ const std::vector> unicode_ranges_flags = { // st {0x003400, 0x0004}, {0x004DC0, 0x0040}, {0x004E00, 0x0004}, -{0x00A48D, 0x0080}, +{0x00A48D, 0x0001}, {0x00A490, 0x0040}, -{0x00A4C7, 0x0080}, +{0x00A4C7, 0x0001}, {0x00A4D0, 0x0004}, {0x00A4FE, 0x0020}, {0x00A500, 0x0004}, @@ -1047,7 +1053,7 @@ const std::vector> unicode_ranges_flags = { // st {0x00A610, 0x0004}, {0x00A620, 0x0002}, {0x00A62A, 0x0004}, -{0x00A62C, 0x0080}, +{0x00A62C, 0x0001}, {0x00A640, 0x0004}, {0x00A66F, 0x0010}, {0x00A673, 0x0020}, @@ -1059,20 +1065,20 @@ const std::vector> unicode_ranges_flags = { // st {0x00A6E6, 0x0002}, {0x00A6F0, 0x0010}, {0x00A6F2, 0x0020}, -{0x00A6F8, 0x0080}, +{0x00A6F8, 0x0001}, {0x00A700, 0x0040}, {0x00A717, 0x0004}, {0x00A720, 0x0040}, {0x00A722, 0x0004}, {0x00A789, 0x0040}, {0x00A78B, 0x0004}, -{0x00A7CB, 0x0080}, +{0x00A7CB, 0x0001}, {0x00A7D0, 0x0004}, -{0x00A7D2, 0x0080}, +{0x00A7D2, 0x0001}, {0x00A7D3, 0x0004}, -{0x00A7D4, 0x0080}, +{0x00A7D4, 0x0001}, {0x00A7D5, 0x0004}, -{0x00A7DA, 0x0080}, +{0x00A7DA, 0x0001}, {0x00A7F2, 0x0004}, {0x00A802, 0x0010}, {0x00A803, 0x0004}, @@ -1083,20 +1089,20 @@ const std::vector> unicode_ranges_flags = { // st {0x00A823, 0x0010}, {0x00A828, 0x0040}, {0x00A82C, 0x0010}, -{0x00A82D, 0x0080}, +{0x00A82D, 0x0001}, {0x00A830, 0x0002}, {0x00A836, 0x0040}, -{0x00A83A, 0x0080}, +{0x00A83A, 0x0001}, {0x00A840, 0x0004}, {0x00A874, 0x0020}, -{0x00A878, 0x0080}, +{0x00A878, 0x0001}, {0x00A880, 0x0010}, {0x00A882, 0x0004}, {0x00A8B4, 0x0010}, -{0x00A8C6, 0x0080}, +{0x00A8C6, 0x0001}, {0x00A8CE, 0x0020}, {0x00A8D0, 0x0002}, -{0x00A8DA, 0x0080}, +{0x00A8DA, 0x0001}, {0x00A8E0, 0x0010}, {0x00A8F2, 0x0004}, {0x00A8F8, 0x0020}, @@ -1110,35 +1116,35 @@ const std::vector> unicode_ranges_flags = { // st {0x00A92E, 0x0020}, {0x00A930, 0x0004}, {0x00A947, 0x0010}, -{0x00A954, 0x0080}, +{0x00A954, 0x0001}, {0x00A95F, 0x0020}, {0x00A960, 0x0004}, -{0x00A97D, 0x0080}, +{0x00A97D, 0x0001}, {0x00A980, 0x0010}, {0x00A984, 0x0004}, {0x00A9B3, 0x0010}, {0x00A9C1, 0x0020}, -{0x00A9CE, 0x0080}, +{0x00A9CE, 0x0001}, {0x00A9CF, 0x0004}, {0x00A9D0, 0x0002}, -{0x00A9DA, 0x0080}, +{0x00A9DA, 0x0001}, {0x00A9DE, 0x0020}, {0x00A9E0, 0x0004}, {0x00A9E5, 0x0010}, {0x00A9E6, 0x0004}, {0x00A9F0, 0x0002}, {0x00A9FA, 0x0004}, -{0x00A9FF, 0x0080}, +{0x00A9FF, 0x0001}, {0x00AA00, 0x0004}, {0x00AA29, 0x0010}, -{0x00AA37, 0x0080}, +{0x00AA37, 0x0001}, {0x00AA40, 0x0004}, {0x00AA43, 0x0010}, {0x00AA44, 0x0004}, {0x00AA4C, 0x0010}, -{0x00AA4E, 0x0080}, +{0x00AA4E, 0x0001}, {0x00AA50, 0x0002}, -{0x00AA5A, 0x0080}, +{0x00AA5A, 0x0001}, {0x00AA5C, 0x0020}, {0x00AA60, 0x0004}, {0x00AA77, 0x0040}, @@ -1155,7 +1161,7 @@ const std::vector> unicode_ranges_flags = { // st {0x00AAC0, 0x0004}, {0x00AAC1, 0x0010}, {0x00AAC2, 0x0004}, -{0x00AAC3, 0x0080}, +{0x00AAC3, 0x0001}, {0x00AADB, 0x0004}, {0x00AADE, 0x0020}, {0x00AAE0, 0x0004}, @@ -1163,90 +1169,93 @@ const std::vector> unicode_ranges_flags = { // st {0x00AAF0, 0x0020}, {0x00AAF2, 0x0004}, {0x00AAF5, 0x0010}, -{0x00AAF7, 0x0080}, +{0x00AAF7, 0x0001}, {0x00AB01, 0x0004}, -{0x00AB07, 0x0080}, +{0x00AB07, 0x0001}, {0x00AB09, 0x0004}, -{0x00AB0F, 0x0080}, +{0x00AB0F, 0x0001}, {0x00AB11, 0x0004}, -{0x00AB17, 0x0080}, +{0x00AB17, 0x0001}, {0x00AB20, 0x0004}, -{0x00AB27, 0x0080}, +{0x00AB27, 0x0001}, {0x00AB28, 0x0004}, -{0x00AB2F, 0x0080}, +{0x00AB2F, 0x0001}, {0x00AB30, 0x0004}, {0x00AB5B, 0x0040}, {0x00AB5C, 0x0004}, {0x00AB6A, 0x0040}, -{0x00AB6C, 0x0080}, +{0x00AB6C, 0x0001}, {0x00AB70, 0x0004}, {0x00ABE3, 0x0010}, {0x00ABEB, 0x0020}, {0x00ABEC, 0x0010}, -{0x00ABEE, 0x0080}, +{0x00ABEE, 0x0001}, {0x00ABF0, 0x0002}, -{0x00ABFA, 0x0080}, +{0x00ABFA, 0x0001}, {0x00AC00, 0x0004}, -{0x00D7A4, 0x0080}, +{0x00D7A4, 0x0001}, {0x00D7B0, 0x0004}, -{0x00D7C7, 0x0080}, +{0x00D7C7, 0x0001}, {0x00D7CB, 0x0004}, -{0x00D7FC, 0x0080}, +{0x00D7FC, 0x0001}, +{0x00D800, 0x0080}, {0x00F900, 0x0004}, -{0x00FA6E, 0x0080}, +{0x00FA6E, 0x0001}, {0x00FA70, 0x0004}, -{0x00FADA, 0x0080}, +{0x00FADA, 0x0001}, {0x00FB00, 0x0004}, -{0x00FB07, 0x0080}, +{0x00FB07, 0x0001}, {0x00FB13, 0x0004}, -{0x00FB18, 0x0080}, +{0x00FB18, 0x0001}, {0x00FB1D, 0x0004}, {0x00FB1E, 0x0010}, {0x00FB1F, 0x0004}, {0x00FB29, 0x0040}, {0x00FB2A, 0x0004}, -{0x00FB37, 0x0080}, +{0x00FB37, 0x0001}, {0x00FB38, 0x0004}, -{0x00FB3D, 0x0080}, +{0x00FB3D, 0x0001}, {0x00FB3E, 0x0004}, -{0x00FB3F, 0x0080}, +{0x00FB3F, 0x0001}, {0x00FB40, 0x0004}, -{0x00FB42, 0x0080}, +{0x00FB42, 0x0001}, {0x00FB43, 0x0004}, -{0x00FB45, 0x0080}, +{0x00FB45, 0x0001}, {0x00FB46, 0x0004}, {0x00FBB2, 0x0040}, -{0x00FBC3, 0x0080}, +{0x00FBC3, 0x0001}, {0x00FBD3, 0x0004}, {0x00FD3E, 0x0020}, {0x00FD40, 0x0040}, {0x00FD50, 0x0004}, -{0x00FD90, 0x0080}, +{0x00FD90, 0x0001}, {0x00FD92, 0x0004}, -{0x00FDC8, 0x0080}, +{0x00FDC8, 0x0001}, {0x00FDCF, 0x0040}, -{0x00FDD0, 0x0080}, +{0x00FDD0, 0x0001}, {0x00FDF0, 0x0004}, {0x00FDFC, 0x0040}, {0x00FE00, 0x0010}, {0x00FE10, 0x0020}, -{0x00FE1A, 0x0080}, +{0x00FE1A, 0x0001}, {0x00FE20, 0x0010}, {0x00FE30, 0x0020}, -{0x00FE53, 0x0080}, +{0x00FE53, 0x0001}, {0x00FE54, 0x0020}, {0x00FE62, 0x0040}, {0x00FE63, 0x0020}, {0x00FE64, 0x0040}, -{0x00FE67, 0x0080}, +{0x00FE67, 0x0001}, {0x00FE68, 0x0020}, {0x00FE69, 0x0040}, {0x00FE6A, 0x0020}, -{0x00FE6C, 0x0080}, +{0x00FE6C, 0x0001}, {0x00FE70, 0x0004}, -{0x00FE75, 0x0080}, +{0x00FE75, 0x0001}, {0x00FE76, 0x0004}, -{0x00FEFD, 0x0080}, +{0x00FEFD, 0x0001}, +{0x00FEFF, 0x0080}, +{0x00FF00, 0x0001}, {0x00FF01, 0x0020}, {0x00FF04, 0x0040}, {0x00FF05, 0x0020}, @@ -1268,260 +1277,261 @@ const std::vector> unicode_ranges_flags = { // st {0x00FF5E, 0x0040}, {0x00FF5F, 0x0020}, {0x00FF66, 0x0004}, -{0x00FFBF, 0x0080}, +{0x00FFBF, 0x0001}, {0x00FFC2, 0x0004}, -{0x00FFC8, 0x0080}, +{0x00FFC8, 0x0001}, {0x00FFCA, 0x0004}, -{0x00FFD0, 0x0080}, +{0x00FFD0, 0x0001}, {0x00FFD2, 0x0004}, -{0x00FFD8, 0x0080}, +{0x00FFD8, 0x0001}, {0x00FFDA, 0x0004}, -{0x00FFDD, 0x0080}, +{0x00FFDD, 0x0001}, {0x00FFE0, 0x0040}, -{0x00FFE7, 0x0080}, +{0x00FFE7, 0x0001}, {0x00FFE8, 0x0040}, -{0x00FFEF, 0x0080}, +{0x00FFEF, 0x0001}, +{0x00FFF9, 0x0080}, {0x00FFFC, 0x0040}, -{0x00FFFE, 0x0080}, +{0x00FFFE, 0x0001}, {0x010000, 0x0004}, -{0x01000C, 0x0080}, +{0x01000C, 0x0001}, {0x01000D, 0x0004}, -{0x010027, 0x0080}, +{0x010027, 0x0001}, {0x010028, 0x0004}, -{0x01003B, 0x0080}, +{0x01003B, 0x0001}, {0x01003C, 0x0004}, -{0x01003E, 0x0080}, +{0x01003E, 0x0001}, {0x01003F, 0x0004}, -{0x01004E, 0x0080}, +{0x01004E, 0x0001}, {0x010050, 0x0004}, -{0x01005E, 0x0080}, +{0x01005E, 0x0001}, {0x010080, 0x0004}, -{0x0100FB, 0x0080}, +{0x0100FB, 0x0001}, {0x010100, 0x0020}, -{0x010103, 0x0080}, +{0x010103, 0x0001}, {0x010107, 0x0002}, -{0x010134, 0x0080}, +{0x010134, 0x0001}, {0x010137, 0x0040}, {0x010140, 0x0002}, {0x010179, 0x0040}, {0x01018A, 0x0002}, {0x01018C, 0x0040}, -{0x01018F, 0x0080}, +{0x01018F, 0x0001}, {0x010190, 0x0040}, -{0x01019D, 0x0080}, +{0x01019D, 0x0001}, {0x0101A0, 0x0040}, -{0x0101A1, 0x0080}, +{0x0101A1, 0x0001}, {0x0101D0, 0x0040}, {0x0101FD, 0x0010}, -{0x0101FE, 0x0080}, +{0x0101FE, 0x0001}, {0x010280, 0x0004}, -{0x01029D, 0x0080}, +{0x01029D, 0x0001}, {0x0102A0, 0x0004}, -{0x0102D1, 0x0080}, +{0x0102D1, 0x0001}, {0x0102E0, 0x0010}, {0x0102E1, 0x0002}, -{0x0102FC, 0x0080}, +{0x0102FC, 0x0001}, {0x010300, 0x0004}, {0x010320, 0x0002}, -{0x010324, 0x0080}, +{0x010324, 0x0001}, {0x01032D, 0x0004}, {0x010341, 0x0002}, {0x010342, 0x0004}, {0x01034A, 0x0002}, -{0x01034B, 0x0080}, +{0x01034B, 0x0001}, {0x010350, 0x0004}, {0x010376, 0x0010}, -{0x01037B, 0x0080}, +{0x01037B, 0x0001}, {0x010380, 0x0004}, -{0x01039E, 0x0080}, +{0x01039E, 0x0001}, {0x01039F, 0x0020}, {0x0103A0, 0x0004}, -{0x0103C4, 0x0080}, +{0x0103C4, 0x0001}, {0x0103C8, 0x0004}, {0x0103D0, 0x0020}, {0x0103D1, 0x0002}, -{0x0103D6, 0x0080}, +{0x0103D6, 0x0001}, {0x010400, 0x0004}, -{0x01049E, 0x0080}, +{0x01049E, 0x0001}, {0x0104A0, 0x0002}, -{0x0104AA, 0x0080}, +{0x0104AA, 0x0001}, {0x0104B0, 0x0004}, -{0x0104D4, 0x0080}, +{0x0104D4, 0x0001}, {0x0104D8, 0x0004}, -{0x0104FC, 0x0080}, +{0x0104FC, 0x0001}, {0x010500, 0x0004}, -{0x010528, 0x0080}, +{0x010528, 0x0001}, {0x010530, 0x0004}, -{0x010564, 0x0080}, +{0x010564, 0x0001}, {0x01056F, 0x0020}, {0x010570, 0x0004}, -{0x01057B, 0x0080}, +{0x01057B, 0x0001}, {0x01057C, 0x0004}, -{0x01058B, 0x0080}, +{0x01058B, 0x0001}, {0x01058C, 0x0004}, -{0x010593, 0x0080}, +{0x010593, 0x0001}, {0x010594, 0x0004}, -{0x010596, 0x0080}, +{0x010596, 0x0001}, {0x010597, 0x0004}, -{0x0105A2, 0x0080}, +{0x0105A2, 0x0001}, {0x0105A3, 0x0004}, -{0x0105B2, 0x0080}, +{0x0105B2, 0x0001}, {0x0105B3, 0x0004}, -{0x0105BA, 0x0080}, +{0x0105BA, 0x0001}, {0x0105BB, 0x0004}, -{0x0105BD, 0x0080}, +{0x0105BD, 0x0001}, {0x010600, 0x0004}, -{0x010737, 0x0080}, +{0x010737, 0x0001}, {0x010740, 0x0004}, -{0x010756, 0x0080}, +{0x010756, 0x0001}, {0x010760, 0x0004}, -{0x010768, 0x0080}, +{0x010768, 0x0001}, {0x010780, 0x0004}, -{0x010786, 0x0080}, +{0x010786, 0x0001}, {0x010787, 0x0004}, -{0x0107B1, 0x0080}, +{0x0107B1, 0x0001}, {0x0107B2, 0x0004}, -{0x0107BB, 0x0080}, +{0x0107BB, 0x0001}, {0x010800, 0x0004}, -{0x010806, 0x0080}, +{0x010806, 0x0001}, {0x010808, 0x0004}, -{0x010809, 0x0080}, +{0x010809, 0x0001}, {0x01080A, 0x0004}, -{0x010836, 0x0080}, +{0x010836, 0x0001}, {0x010837, 0x0004}, -{0x010839, 0x0080}, +{0x010839, 0x0001}, {0x01083C, 0x0004}, -{0x01083D, 0x0080}, +{0x01083D, 0x0001}, {0x01083F, 0x0004}, -{0x010856, 0x0080}, +{0x010856, 0x0001}, {0x010857, 0x0020}, {0x010858, 0x0002}, {0x010860, 0x0004}, {0x010877, 0x0040}, {0x010879, 0x0002}, {0x010880, 0x0004}, -{0x01089F, 0x0080}, +{0x01089F, 0x0001}, {0x0108A7, 0x0002}, -{0x0108B0, 0x0080}, +{0x0108B0, 0x0001}, {0x0108E0, 0x0004}, -{0x0108F3, 0x0080}, +{0x0108F3, 0x0001}, {0x0108F4, 0x0004}, -{0x0108F6, 0x0080}, +{0x0108F6, 0x0001}, {0x0108FB, 0x0002}, {0x010900, 0x0004}, {0x010916, 0x0002}, -{0x01091C, 0x0080}, +{0x01091C, 0x0001}, {0x01091F, 0x0020}, {0x010920, 0x0004}, -{0x01093A, 0x0080}, +{0x01093A, 0x0001}, {0x01093F, 0x0020}, -{0x010940, 0x0080}, +{0x010940, 0x0001}, {0x010980, 0x0004}, -{0x0109B8, 0x0080}, +{0x0109B8, 0x0001}, {0x0109BC, 0x0002}, {0x0109BE, 0x0004}, {0x0109C0, 0x0002}, -{0x0109D0, 0x0080}, +{0x0109D0, 0x0001}, {0x0109D2, 0x0002}, {0x010A00, 0x0004}, {0x010A01, 0x0010}, -{0x010A04, 0x0080}, +{0x010A04, 0x0001}, {0x010A05, 0x0010}, -{0x010A07, 0x0080}, +{0x010A07, 0x0001}, {0x010A0C, 0x0010}, {0x010A10, 0x0004}, -{0x010A14, 0x0080}, +{0x010A14, 0x0001}, {0x010A15, 0x0004}, -{0x010A18, 0x0080}, +{0x010A18, 0x0001}, {0x010A19, 0x0004}, -{0x010A36, 0x0080}, +{0x010A36, 0x0001}, {0x010A38, 0x0010}, -{0x010A3B, 0x0080}, +{0x010A3B, 0x0001}, {0x010A3F, 0x0010}, {0x010A40, 0x0002}, -{0x010A49, 0x0080}, +{0x010A49, 0x0001}, {0x010A50, 0x0020}, -{0x010A59, 0x0080}, +{0x010A59, 0x0001}, {0x010A60, 0x0004}, {0x010A7D, 0x0002}, {0x010A7F, 0x0020}, {0x010A80, 0x0004}, {0x010A9D, 0x0002}, -{0x010AA0, 0x0080}, +{0x010AA0, 0x0001}, {0x010AC0, 0x0004}, {0x010AC8, 0x0040}, {0x010AC9, 0x0004}, {0x010AE5, 0x0010}, -{0x010AE7, 0x0080}, +{0x010AE7, 0x0001}, {0x010AEB, 0x0002}, {0x010AF0, 0x0020}, -{0x010AF7, 0x0080}, +{0x010AF7, 0x0001}, {0x010B00, 0x0004}, -{0x010B36, 0x0080}, +{0x010B36, 0x0001}, {0x010B39, 0x0020}, {0x010B40, 0x0004}, -{0x010B56, 0x0080}, +{0x010B56, 0x0001}, {0x010B58, 0x0002}, {0x010B60, 0x0004}, -{0x010B73, 0x0080}, +{0x010B73, 0x0001}, {0x010B78, 0x0002}, {0x010B80, 0x0004}, -{0x010B92, 0x0080}, +{0x010B92, 0x0001}, {0x010B99, 0x0020}, -{0x010B9D, 0x0080}, +{0x010B9D, 0x0001}, {0x010BA9, 0x0002}, -{0x010BB0, 0x0080}, +{0x010BB0, 0x0001}, {0x010C00, 0x0004}, -{0x010C49, 0x0080}, +{0x010C49, 0x0001}, {0x010C80, 0x0004}, -{0x010CB3, 0x0080}, +{0x010CB3, 0x0001}, {0x010CC0, 0x0004}, -{0x010CF3, 0x0080}, +{0x010CF3, 0x0001}, {0x010CFA, 0x0002}, {0x010D00, 0x0004}, {0x010D24, 0x0010}, -{0x010D28, 0x0080}, +{0x010D28, 0x0001}, {0x010D30, 0x0002}, -{0x010D3A, 0x0080}, +{0x010D3A, 0x0001}, {0x010E60, 0x0002}, -{0x010E7F, 0x0080}, +{0x010E7F, 0x0001}, {0x010E80, 0x0004}, -{0x010EAA, 0x0080}, +{0x010EAA, 0x0001}, {0x010EAB, 0x0010}, {0x010EAD, 0x0020}, -{0x010EAE, 0x0080}, +{0x010EAE, 0x0001}, {0x010EB0, 0x0004}, -{0x010EB2, 0x0080}, +{0x010EB2, 0x0001}, {0x010EFD, 0x0010}, {0x010F00, 0x0004}, {0x010F1D, 0x0002}, {0x010F27, 0x0004}, -{0x010F28, 0x0080}, +{0x010F28, 0x0001}, {0x010F30, 0x0004}, {0x010F46, 0x0010}, {0x010F51, 0x0002}, {0x010F55, 0x0020}, -{0x010F5A, 0x0080}, +{0x010F5A, 0x0001}, {0x010F70, 0x0004}, {0x010F82, 0x0010}, {0x010F86, 0x0020}, -{0x010F8A, 0x0080}, +{0x010F8A, 0x0001}, {0x010FB0, 0x0004}, {0x010FC5, 0x0002}, -{0x010FCC, 0x0080}, +{0x010FCC, 0x0001}, {0x010FE0, 0x0004}, -{0x010FF7, 0x0080}, +{0x010FF7, 0x0001}, {0x011000, 0x0010}, {0x011003, 0x0004}, {0x011038, 0x0010}, {0x011047, 0x0020}, -{0x01104E, 0x0080}, +{0x01104E, 0x0001}, {0x011052, 0x0002}, {0x011070, 0x0010}, {0x011071, 0x0004}, {0x011073, 0x0010}, {0x011075, 0x0004}, -{0x011076, 0x0080}, +{0x011076, 0x0001}, {0x01107F, 0x0010}, {0x011083, 0x0004}, {0x0110B0, 0x0010}, @@ -1529,26 +1539,28 @@ const std::vector> unicode_ranges_flags = { // st {0x0110BD, 0x0080}, {0x0110BE, 0x0020}, {0x0110C2, 0x0010}, -{0x0110C3, 0x0080}, +{0x0110C3, 0x0001}, +{0x0110CD, 0x0080}, +{0x0110CE, 0x0001}, {0x0110D0, 0x0004}, -{0x0110E9, 0x0080}, +{0x0110E9, 0x0001}, {0x0110F0, 0x0002}, -{0x0110FA, 0x0080}, +{0x0110FA, 0x0001}, {0x011100, 0x0010}, {0x011103, 0x0004}, {0x011127, 0x0010}, -{0x011135, 0x0080}, +{0x011135, 0x0001}, {0x011136, 0x0002}, {0x011140, 0x0020}, {0x011144, 0x0004}, {0x011145, 0x0010}, {0x011147, 0x0004}, -{0x011148, 0x0080}, +{0x011148, 0x0001}, {0x011150, 0x0004}, {0x011173, 0x0010}, {0x011174, 0x0020}, {0x011176, 0x0004}, -{0x011177, 0x0080}, +{0x011177, 0x0001}, {0x011180, 0x0010}, {0x011183, 0x0004}, {0x0111B3, 0x0010}, @@ -1562,159 +1574,159 @@ const std::vector> unicode_ranges_flags = { // st {0x0111DB, 0x0020}, {0x0111DC, 0x0004}, {0x0111DD, 0x0020}, -{0x0111E0, 0x0080}, +{0x0111E0, 0x0001}, {0x0111E1, 0x0002}, -{0x0111F5, 0x0080}, +{0x0111F5, 0x0001}, {0x011200, 0x0004}, -{0x011212, 0x0080}, +{0x011212, 0x0001}, {0x011213, 0x0004}, {0x01122C, 0x0010}, {0x011238, 0x0020}, {0x01123E, 0x0010}, {0x01123F, 0x0004}, {0x011241, 0x0010}, -{0x011242, 0x0080}, +{0x011242, 0x0001}, {0x011280, 0x0004}, -{0x011287, 0x0080}, +{0x011287, 0x0001}, {0x011288, 0x0004}, -{0x011289, 0x0080}, +{0x011289, 0x0001}, {0x01128A, 0x0004}, -{0x01128E, 0x0080}, +{0x01128E, 0x0001}, {0x01128F, 0x0004}, -{0x01129E, 0x0080}, +{0x01129E, 0x0001}, {0x01129F, 0x0004}, {0x0112A9, 0x0020}, -{0x0112AA, 0x0080}, +{0x0112AA, 0x0001}, {0x0112B0, 0x0004}, {0x0112DF, 0x0010}, -{0x0112EB, 0x0080}, +{0x0112EB, 0x0001}, {0x0112F0, 0x0002}, -{0x0112FA, 0x0080}, +{0x0112FA, 0x0001}, {0x011300, 0x0010}, -{0x011304, 0x0080}, +{0x011304, 0x0001}, {0x011305, 0x0004}, -{0x01130D, 0x0080}, +{0x01130D, 0x0001}, {0x01130F, 0x0004}, -{0x011311, 0x0080}, +{0x011311, 0x0001}, {0x011313, 0x0004}, -{0x011329, 0x0080}, +{0x011329, 0x0001}, {0x01132A, 0x0004}, -{0x011331, 0x0080}, +{0x011331, 0x0001}, {0x011332, 0x0004}, -{0x011334, 0x0080}, +{0x011334, 0x0001}, {0x011335, 0x0004}, -{0x01133A, 0x0080}, +{0x01133A, 0x0001}, {0x01133B, 0x0010}, {0x01133D, 0x0004}, {0x01133E, 0x0010}, -{0x011345, 0x0080}, +{0x011345, 0x0001}, {0x011347, 0x0010}, -{0x011349, 0x0080}, +{0x011349, 0x0001}, {0x01134B, 0x0010}, -{0x01134E, 0x0080}, +{0x01134E, 0x0001}, {0x011350, 0x0004}, -{0x011351, 0x0080}, +{0x011351, 0x0001}, {0x011357, 0x0010}, -{0x011358, 0x0080}, +{0x011358, 0x0001}, {0x01135D, 0x0004}, {0x011362, 0x0010}, -{0x011364, 0x0080}, +{0x011364, 0x0001}, {0x011366, 0x0010}, -{0x01136D, 0x0080}, +{0x01136D, 0x0001}, {0x011370, 0x0010}, -{0x011375, 0x0080}, +{0x011375, 0x0001}, {0x011400, 0x0004}, {0x011435, 0x0010}, {0x011447, 0x0004}, {0x01144B, 0x0020}, {0x011450, 0x0002}, {0x01145A, 0x0020}, -{0x01145C, 0x0080}, +{0x01145C, 0x0001}, {0x01145D, 0x0020}, {0x01145E, 0x0010}, {0x01145F, 0x0004}, -{0x011462, 0x0080}, +{0x011462, 0x0001}, {0x011480, 0x0004}, {0x0114B0, 0x0010}, {0x0114C4, 0x0004}, {0x0114C6, 0x0020}, {0x0114C7, 0x0004}, -{0x0114C8, 0x0080}, +{0x0114C8, 0x0001}, {0x0114D0, 0x0002}, -{0x0114DA, 0x0080}, +{0x0114DA, 0x0001}, {0x011580, 0x0004}, {0x0115AF, 0x0010}, -{0x0115B6, 0x0080}, +{0x0115B6, 0x0001}, {0x0115B8, 0x0010}, {0x0115C1, 0x0020}, {0x0115D8, 0x0004}, {0x0115DC, 0x0010}, -{0x0115DE, 0x0080}, +{0x0115DE, 0x0001}, {0x011600, 0x0004}, {0x011630, 0x0010}, {0x011641, 0x0020}, {0x011644, 0x0004}, -{0x011645, 0x0080}, +{0x011645, 0x0001}, {0x011650, 0x0002}, -{0x01165A, 0x0080}, +{0x01165A, 0x0001}, {0x011660, 0x0020}, -{0x01166D, 0x0080}, +{0x01166D, 0x0001}, {0x011680, 0x0004}, {0x0116AB, 0x0010}, {0x0116B8, 0x0004}, {0x0116B9, 0x0020}, -{0x0116BA, 0x0080}, +{0x0116BA, 0x0001}, {0x0116C0, 0x0002}, -{0x0116CA, 0x0080}, +{0x0116CA, 0x0001}, {0x011700, 0x0004}, -{0x01171B, 0x0080}, +{0x01171B, 0x0001}, {0x01171D, 0x0010}, -{0x01172C, 0x0080}, +{0x01172C, 0x0001}, {0x011730, 0x0002}, {0x01173C, 0x0020}, {0x01173F, 0x0040}, {0x011740, 0x0004}, -{0x011747, 0x0080}, +{0x011747, 0x0001}, {0x011800, 0x0004}, {0x01182C, 0x0010}, {0x01183B, 0x0020}, -{0x01183C, 0x0080}, +{0x01183C, 0x0001}, {0x0118A0, 0x0004}, {0x0118E0, 0x0002}, -{0x0118F3, 0x0080}, +{0x0118F3, 0x0001}, {0x0118FF, 0x0004}, -{0x011907, 0x0080}, +{0x011907, 0x0001}, {0x011909, 0x0004}, -{0x01190A, 0x0080}, +{0x01190A, 0x0001}, {0x01190C, 0x0004}, -{0x011914, 0x0080}, +{0x011914, 0x0001}, {0x011915, 0x0004}, -{0x011917, 0x0080}, +{0x011917, 0x0001}, {0x011918, 0x0004}, {0x011930, 0x0010}, -{0x011936, 0x0080}, +{0x011936, 0x0001}, {0x011937, 0x0010}, -{0x011939, 0x0080}, +{0x011939, 0x0001}, {0x01193B, 0x0010}, {0x01193F, 0x0004}, {0x011940, 0x0010}, {0x011941, 0x0004}, {0x011942, 0x0010}, {0x011944, 0x0020}, -{0x011947, 0x0080}, +{0x011947, 0x0001}, {0x011950, 0x0002}, -{0x01195A, 0x0080}, +{0x01195A, 0x0001}, {0x0119A0, 0x0004}, -{0x0119A8, 0x0080}, +{0x0119A8, 0x0001}, {0x0119AA, 0x0004}, {0x0119D1, 0x0010}, -{0x0119D8, 0x0080}, +{0x0119D8, 0x0001}, {0x0119DA, 0x0010}, {0x0119E1, 0x0004}, {0x0119E2, 0x0020}, {0x0119E3, 0x0004}, {0x0119E4, 0x0010}, -{0x0119E5, 0x0080}, +{0x0119E5, 0x0001}, {0x011A00, 0x0004}, {0x011A01, 0x0010}, {0x011A0B, 0x0004}, @@ -1723,7 +1735,7 @@ const std::vector> unicode_ranges_flags = { // st {0x011A3B, 0x0010}, {0x011A3F, 0x0020}, {0x011A47, 0x0010}, -{0x011A48, 0x0080}, +{0x011A48, 0x0001}, {0x011A50, 0x0004}, {0x011A51, 0x0010}, {0x011A5C, 0x0004}, @@ -1731,117 +1743,117 @@ const std::vector> unicode_ranges_flags = { // st {0x011A9A, 0x0020}, {0x011A9D, 0x0004}, {0x011A9E, 0x0020}, -{0x011AA3, 0x0080}, +{0x011AA3, 0x0001}, {0x011AB0, 0x0004}, -{0x011AF9, 0x0080}, +{0x011AF9, 0x0001}, {0x011B00, 0x0020}, -{0x011B0A, 0x0080}, +{0x011B0A, 0x0001}, {0x011C00, 0x0004}, -{0x011C09, 0x0080}, +{0x011C09, 0x0001}, {0x011C0A, 0x0004}, {0x011C2F, 0x0010}, -{0x011C37, 0x0080}, +{0x011C37, 0x0001}, {0x011C38, 0x0010}, {0x011C40, 0x0004}, {0x011C41, 0x0020}, -{0x011C46, 0x0080}, +{0x011C46, 0x0001}, {0x011C50, 0x0002}, -{0x011C6D, 0x0080}, +{0x011C6D, 0x0001}, {0x011C70, 0x0020}, {0x011C72, 0x0004}, -{0x011C90, 0x0080}, +{0x011C90, 0x0001}, {0x011C92, 0x0010}, -{0x011CA8, 0x0080}, +{0x011CA8, 0x0001}, {0x011CA9, 0x0010}, -{0x011CB7, 0x0080}, +{0x011CB7, 0x0001}, {0x011D00, 0x0004}, -{0x011D07, 0x0080}, +{0x011D07, 0x0001}, {0x011D08, 0x0004}, -{0x011D0A, 0x0080}, +{0x011D0A, 0x0001}, {0x011D0B, 0x0004}, {0x011D31, 0x0010}, -{0x011D37, 0x0080}, +{0x011D37, 0x0001}, {0x011D3A, 0x0010}, -{0x011D3B, 0x0080}, +{0x011D3B, 0x0001}, {0x011D3C, 0x0010}, -{0x011D3E, 0x0080}, +{0x011D3E, 0x0001}, {0x011D3F, 0x0010}, {0x011D46, 0x0004}, {0x011D47, 0x0010}, -{0x011D48, 0x0080}, +{0x011D48, 0x0001}, {0x011D50, 0x0002}, -{0x011D5A, 0x0080}, +{0x011D5A, 0x0001}, {0x011D60, 0x0004}, -{0x011D66, 0x0080}, +{0x011D66, 0x0001}, {0x011D67, 0x0004}, -{0x011D69, 0x0080}, +{0x011D69, 0x0001}, {0x011D6A, 0x0004}, {0x011D8A, 0x0010}, -{0x011D8F, 0x0080}, +{0x011D8F, 0x0001}, {0x011D90, 0x0010}, -{0x011D92, 0x0080}, +{0x011D92, 0x0001}, {0x011D93, 0x0010}, {0x011D98, 0x0004}, -{0x011D99, 0x0080}, +{0x011D99, 0x0001}, {0x011DA0, 0x0002}, -{0x011DAA, 0x0080}, +{0x011DAA, 0x0001}, {0x011EE0, 0x0004}, {0x011EF3, 0x0010}, {0x011EF7, 0x0020}, -{0x011EF9, 0x0080}, +{0x011EF9, 0x0001}, {0x011F00, 0x0010}, {0x011F02, 0x0004}, {0x011F03, 0x0010}, {0x011F04, 0x0004}, -{0x011F11, 0x0080}, +{0x011F11, 0x0001}, {0x011F12, 0x0004}, {0x011F34, 0x0010}, -{0x011F3B, 0x0080}, +{0x011F3B, 0x0001}, {0x011F3E, 0x0010}, {0x011F43, 0x0020}, {0x011F50, 0x0002}, -{0x011F5A, 0x0080}, +{0x011F5A, 0x0001}, {0x011FB0, 0x0004}, -{0x011FB1, 0x0080}, +{0x011FB1, 0x0001}, {0x011FC0, 0x0002}, {0x011FD5, 0x0040}, -{0x011FF2, 0x0080}, +{0x011FF2, 0x0001}, {0x011FFF, 0x0020}, {0x012000, 0x0004}, -{0x01239A, 0x0080}, +{0x01239A, 0x0001}, {0x012400, 0x0002}, -{0x01246F, 0x0080}, +{0x01246F, 0x0001}, {0x012470, 0x0020}, -{0x012475, 0x0080}, +{0x012475, 0x0001}, {0x012480, 0x0004}, -{0x012544, 0x0080}, +{0x012544, 0x0001}, {0x012F90, 0x0004}, {0x012FF1, 0x0020}, -{0x012FF3, 0x0080}, +{0x012FF3, 0x0001}, {0x013000, 0x0004}, {0x013430, 0x0080}, {0x013440, 0x0010}, {0x013441, 0x0004}, {0x013447, 0x0010}, -{0x013456, 0x0080}, +{0x013456, 0x0001}, {0x014400, 0x0004}, -{0x014647, 0x0080}, +{0x014647, 0x0001}, {0x016800, 0x0004}, -{0x016A39, 0x0080}, +{0x016A39, 0x0001}, {0x016A40, 0x0004}, -{0x016A5F, 0x0080}, +{0x016A5F, 0x0001}, {0x016A60, 0x0002}, -{0x016A6A, 0x0080}, +{0x016A6A, 0x0001}, {0x016A6E, 0x0020}, {0x016A70, 0x0004}, -{0x016ABF, 0x0080}, +{0x016ABF, 0x0001}, {0x016AC0, 0x0002}, -{0x016ACA, 0x0080}, +{0x016ACA, 0x0001}, {0x016AD0, 0x0004}, -{0x016AEE, 0x0080}, +{0x016AEE, 0x0001}, {0x016AF0, 0x0010}, {0x016AF5, 0x0020}, -{0x016AF6, 0x0080}, +{0x016AF6, 0x0001}, {0x016B00, 0x0004}, {0x016B30, 0x0010}, {0x016B37, 0x0020}, @@ -1849,81 +1861,82 @@ const std::vector> unicode_ranges_flags = { // st {0x016B40, 0x0004}, {0x016B44, 0x0020}, {0x016B45, 0x0040}, -{0x016B46, 0x0080}, +{0x016B46, 0x0001}, {0x016B50, 0x0002}, -{0x016B5A, 0x0080}, +{0x016B5A, 0x0001}, {0x016B5B, 0x0002}, -{0x016B62, 0x0080}, +{0x016B62, 0x0001}, {0x016B63, 0x0004}, -{0x016B78, 0x0080}, +{0x016B78, 0x0001}, {0x016B7D, 0x0004}, -{0x016B90, 0x0080}, +{0x016B90, 0x0001}, {0x016E40, 0x0004}, {0x016E80, 0x0002}, {0x016E97, 0x0020}, -{0x016E9B, 0x0080}, +{0x016E9B, 0x0001}, {0x016F00, 0x0004}, -{0x016F4B, 0x0080}, +{0x016F4B, 0x0001}, {0x016F4F, 0x0010}, {0x016F50, 0x0004}, {0x016F51, 0x0010}, -{0x016F88, 0x0080}, +{0x016F88, 0x0001}, {0x016F8F, 0x0010}, {0x016F93, 0x0004}, -{0x016FA0, 0x0080}, +{0x016FA0, 0x0001}, {0x016FE0, 0x0004}, {0x016FE2, 0x0020}, {0x016FE3, 0x0004}, {0x016FE4, 0x0010}, -{0x016FE5, 0x0080}, +{0x016FE5, 0x0001}, {0x016FF0, 0x0010}, -{0x016FF2, 0x0080}, +{0x016FF2, 0x0001}, {0x017000, 0x0004}, -{0x0187F8, 0x0080}, +{0x0187F8, 0x0001}, {0x018800, 0x0004}, -{0x018CD6, 0x0080}, +{0x018CD6, 0x0001}, {0x018D00, 0x0004}, -{0x018D09, 0x0080}, +{0x018D09, 0x0001}, {0x01AFF0, 0x0004}, -{0x01AFF4, 0x0080}, +{0x01AFF4, 0x0001}, {0x01AFF5, 0x0004}, -{0x01AFFC, 0x0080}, +{0x01AFFC, 0x0001}, {0x01AFFD, 0x0004}, -{0x01AFFF, 0x0080}, +{0x01AFFF, 0x0001}, {0x01B000, 0x0004}, -{0x01B123, 0x0080}, +{0x01B123, 0x0001}, {0x01B132, 0x0004}, -{0x01B133, 0x0080}, +{0x01B133, 0x0001}, {0x01B150, 0x0004}, -{0x01B153, 0x0080}, +{0x01B153, 0x0001}, {0x01B155, 0x0004}, -{0x01B156, 0x0080}, +{0x01B156, 0x0001}, {0x01B164, 0x0004}, -{0x01B168, 0x0080}, +{0x01B168, 0x0001}, {0x01B170, 0x0004}, -{0x01B2FC, 0x0080}, +{0x01B2FC, 0x0001}, {0x01BC00, 0x0004}, -{0x01BC6B, 0x0080}, +{0x01BC6B, 0x0001}, {0x01BC70, 0x0004}, -{0x01BC7D, 0x0080}, +{0x01BC7D, 0x0001}, {0x01BC80, 0x0004}, -{0x01BC89, 0x0080}, +{0x01BC89, 0x0001}, {0x01BC90, 0x0004}, -{0x01BC9A, 0x0080}, +{0x01BC9A, 0x0001}, {0x01BC9C, 0x0040}, {0x01BC9D, 0x0010}, {0x01BC9F, 0x0020}, {0x01BCA0, 0x0080}, +{0x01BCA4, 0x0001}, {0x01CF00, 0x0010}, -{0x01CF2E, 0x0080}, +{0x01CF2E, 0x0001}, {0x01CF30, 0x0010}, -{0x01CF47, 0x0080}, +{0x01CF47, 0x0001}, {0x01CF50, 0x0040}, -{0x01CFC4, 0x0080}, +{0x01CFC4, 0x0001}, {0x01D000, 0x0040}, -{0x01D0F6, 0x0080}, +{0x01D0F6, 0x0001}, {0x01D100, 0x0040}, -{0x01D127, 0x0080}, +{0x01D127, 0x0001}, {0x01D129, 0x0040}, {0x01D165, 0x0010}, {0x01D16A, 0x0040}, @@ -1935,57 +1948,57 @@ const std::vector> unicode_ranges_flags = { // st {0x01D18C, 0x0040}, {0x01D1AA, 0x0010}, {0x01D1AE, 0x0040}, -{0x01D1EB, 0x0080}, +{0x01D1EB, 0x0001}, {0x01D200, 0x0040}, {0x01D242, 0x0010}, {0x01D245, 0x0040}, -{0x01D246, 0x0080}, +{0x01D246, 0x0001}, {0x01D2C0, 0x0002}, -{0x01D2D4, 0x0080}, +{0x01D2D4, 0x0001}, {0x01D2E0, 0x0002}, -{0x01D2F4, 0x0080}, +{0x01D2F4, 0x0001}, {0x01D300, 0x0040}, -{0x01D357, 0x0080}, +{0x01D357, 0x0001}, {0x01D360, 0x0002}, -{0x01D379, 0x0080}, +{0x01D379, 0x0001}, {0x01D400, 0x0004}, -{0x01D455, 0x0080}, +{0x01D455, 0x0001}, {0x01D456, 0x0004}, -{0x01D49D, 0x0080}, +{0x01D49D, 0x0001}, {0x01D49E, 0x0004}, -{0x01D4A0, 0x0080}, +{0x01D4A0, 0x0001}, {0x01D4A2, 0x0004}, -{0x01D4A3, 0x0080}, +{0x01D4A3, 0x0001}, {0x01D4A5, 0x0004}, -{0x01D4A7, 0x0080}, +{0x01D4A7, 0x0001}, {0x01D4A9, 0x0004}, -{0x01D4AD, 0x0080}, +{0x01D4AD, 0x0001}, {0x01D4AE, 0x0004}, -{0x01D4BA, 0x0080}, +{0x01D4BA, 0x0001}, {0x01D4BB, 0x0004}, -{0x01D4BC, 0x0080}, +{0x01D4BC, 0x0001}, {0x01D4BD, 0x0004}, -{0x01D4C4, 0x0080}, +{0x01D4C4, 0x0001}, {0x01D4C5, 0x0004}, -{0x01D506, 0x0080}, +{0x01D506, 0x0001}, {0x01D507, 0x0004}, -{0x01D50B, 0x0080}, +{0x01D50B, 0x0001}, {0x01D50D, 0x0004}, -{0x01D515, 0x0080}, +{0x01D515, 0x0001}, {0x01D516, 0x0004}, -{0x01D51D, 0x0080}, +{0x01D51D, 0x0001}, {0x01D51E, 0x0004}, -{0x01D53A, 0x0080}, +{0x01D53A, 0x0001}, {0x01D53B, 0x0004}, -{0x01D53F, 0x0080}, +{0x01D53F, 0x0001}, {0x01D540, 0x0004}, -{0x01D545, 0x0080}, +{0x01D545, 0x0001}, {0x01D546, 0x0004}, -{0x01D547, 0x0080}, +{0x01D547, 0x0001}, {0x01D54A, 0x0004}, -{0x01D551, 0x0080}, +{0x01D551, 0x0001}, {0x01D552, 0x0004}, -{0x01D6A6, 0x0080}, +{0x01D6A6, 0x0001}, {0x01D6A8, 0x0004}, {0x01D6C1, 0x0040}, {0x01D6C2, 0x0004}, @@ -2007,7 +2020,7 @@ const std::vector> unicode_ranges_flags = { // st {0x01D7AA, 0x0004}, {0x01D7C3, 0x0040}, {0x01D7C4, 0x0004}, -{0x01D7CC, 0x0080}, +{0x01D7CC, 0x0001}, {0x01D7CE, 0x0002}, {0x01D800, 0x0040}, {0x01DA00, 0x0010}, @@ -2019,251 +2032,283 @@ const std::vector> unicode_ranges_flags = { // st {0x01DA84, 0x0010}, {0x01DA85, 0x0040}, {0x01DA87, 0x0020}, -{0x01DA8C, 0x0080}, +{0x01DA8C, 0x0001}, {0x01DA9B, 0x0010}, -{0x01DAA0, 0x0080}, +{0x01DAA0, 0x0001}, {0x01DAA1, 0x0010}, -{0x01DAB0, 0x0080}, +{0x01DAB0, 0x0001}, {0x01DF00, 0x0004}, -{0x01DF1F, 0x0080}, +{0x01DF1F, 0x0001}, {0x01DF25, 0x0004}, -{0x01DF2B, 0x0080}, +{0x01DF2B, 0x0001}, {0x01E000, 0x0010}, -{0x01E007, 0x0080}, +{0x01E007, 0x0001}, {0x01E008, 0x0010}, -{0x01E019, 0x0080}, +{0x01E019, 0x0001}, {0x01E01B, 0x0010}, -{0x01E022, 0x0080}, +{0x01E022, 0x0001}, {0x01E023, 0x0010}, -{0x01E025, 0x0080}, +{0x01E025, 0x0001}, {0x01E026, 0x0010}, -{0x01E02B, 0x0080}, +{0x01E02B, 0x0001}, {0x01E030, 0x0004}, -{0x01E06E, 0x0080}, +{0x01E06E, 0x0001}, {0x01E08F, 0x0010}, -{0x01E090, 0x0080}, +{0x01E090, 0x0001}, {0x01E100, 0x0004}, -{0x01E12D, 0x0080}, +{0x01E12D, 0x0001}, {0x01E130, 0x0010}, {0x01E137, 0x0004}, -{0x01E13E, 0x0080}, +{0x01E13E, 0x0001}, {0x01E140, 0x0002}, -{0x01E14A, 0x0080}, +{0x01E14A, 0x0001}, {0x01E14E, 0x0004}, {0x01E14F, 0x0040}, -{0x01E150, 0x0080}, +{0x01E150, 0x0001}, {0x01E290, 0x0004}, {0x01E2AE, 0x0010}, -{0x01E2AF, 0x0080}, +{0x01E2AF, 0x0001}, {0x01E2C0, 0x0004}, {0x01E2EC, 0x0010}, {0x01E2F0, 0x0002}, -{0x01E2FA, 0x0080}, +{0x01E2FA, 0x0001}, {0x01E2FF, 0x0040}, -{0x01E300, 0x0080}, +{0x01E300, 0x0001}, {0x01E4D0, 0x0004}, {0x01E4EC, 0x0010}, {0x01E4F0, 0x0002}, -{0x01E4FA, 0x0080}, +{0x01E4FA, 0x0001}, {0x01E7E0, 0x0004}, -{0x01E7E7, 0x0080}, +{0x01E7E7, 0x0001}, {0x01E7E8, 0x0004}, -{0x01E7EC, 0x0080}, +{0x01E7EC, 0x0001}, {0x01E7ED, 0x0004}, -{0x01E7EF, 0x0080}, +{0x01E7EF, 0x0001}, {0x01E7F0, 0x0004}, -{0x01E7FF, 0x0080}, +{0x01E7FF, 0x0001}, {0x01E800, 0x0004}, -{0x01E8C5, 0x0080}, +{0x01E8C5, 0x0001}, {0x01E8C7, 0x0002}, {0x01E8D0, 0x0010}, -{0x01E8D7, 0x0080}, +{0x01E8D7, 0x0001}, {0x01E900, 0x0004}, {0x01E944, 0x0010}, {0x01E94B, 0x0004}, -{0x01E94C, 0x0080}, +{0x01E94C, 0x0001}, {0x01E950, 0x0002}, -{0x01E95A, 0x0080}, +{0x01E95A, 0x0001}, {0x01E95E, 0x0020}, -{0x01E960, 0x0080}, +{0x01E960, 0x0001}, {0x01EC71, 0x0002}, {0x01ECAC, 0x0040}, {0x01ECAD, 0x0002}, {0x01ECB0, 0x0040}, {0x01ECB1, 0x0002}, -{0x01ECB5, 0x0080}, +{0x01ECB5, 0x0001}, {0x01ED01, 0x0002}, {0x01ED2E, 0x0040}, {0x01ED2F, 0x0002}, -{0x01ED3E, 0x0080}, +{0x01ED3E, 0x0001}, {0x01EE00, 0x0004}, -{0x01EE04, 0x0080}, +{0x01EE04, 0x0001}, {0x01EE05, 0x0004}, -{0x01EE20, 0x0080}, +{0x01EE20, 0x0001}, {0x01EE21, 0x0004}, -{0x01EE23, 0x0080}, +{0x01EE23, 0x0001}, {0x01EE24, 0x0004}, -{0x01EE25, 0x0080}, +{0x01EE25, 0x0001}, {0x01EE27, 0x0004}, -{0x01EE28, 0x0080}, +{0x01EE28, 0x0001}, {0x01EE29, 0x0004}, -{0x01EE33, 0x0080}, +{0x01EE33, 0x0001}, {0x01EE34, 0x0004}, -{0x01EE38, 0x0080}, +{0x01EE38, 0x0001}, {0x01EE39, 0x0004}, -{0x01EE3A, 0x0080}, +{0x01EE3A, 0x0001}, {0x01EE3B, 0x0004}, -{0x01EE3C, 0x0080}, +{0x01EE3C, 0x0001}, {0x01EE42, 0x0004}, -{0x01EE43, 0x0080}, +{0x01EE43, 0x0001}, {0x01EE47, 0x0004}, -{0x01EE48, 0x0080}, +{0x01EE48, 0x0001}, {0x01EE49, 0x0004}, -{0x01EE4A, 0x0080}, +{0x01EE4A, 0x0001}, {0x01EE4B, 0x0004}, -{0x01EE4C, 0x0080}, +{0x01EE4C, 0x0001}, {0x01EE4D, 0x0004}, -{0x01EE50, 0x0080}, +{0x01EE50, 0x0001}, {0x01EE51, 0x0004}, -{0x01EE53, 0x0080}, +{0x01EE53, 0x0001}, {0x01EE54, 0x0004}, -{0x01EE55, 0x0080}, +{0x01EE55, 0x0001}, {0x01EE57, 0x0004}, -{0x01EE58, 0x0080}, +{0x01EE58, 0x0001}, {0x01EE59, 0x0004}, -{0x01EE5A, 0x0080}, +{0x01EE5A, 0x0001}, {0x01EE5B, 0x0004}, -{0x01EE5C, 0x0080}, +{0x01EE5C, 0x0001}, {0x01EE5D, 0x0004}, -{0x01EE5E, 0x0080}, +{0x01EE5E, 0x0001}, {0x01EE5F, 0x0004}, -{0x01EE60, 0x0080}, +{0x01EE60, 0x0001}, {0x01EE61, 0x0004}, -{0x01EE63, 0x0080}, +{0x01EE63, 0x0001}, {0x01EE64, 0x0004}, -{0x01EE65, 0x0080}, +{0x01EE65, 0x0001}, {0x01EE67, 0x0004}, -{0x01EE6B, 0x0080}, +{0x01EE6B, 0x0001}, {0x01EE6C, 0x0004}, -{0x01EE73, 0x0080}, +{0x01EE73, 0x0001}, {0x01EE74, 0x0004}, -{0x01EE78, 0x0080}, +{0x01EE78, 0x0001}, {0x01EE79, 0x0004}, -{0x01EE7D, 0x0080}, +{0x01EE7D, 0x0001}, {0x01EE7E, 0x0004}, -{0x01EE7F, 0x0080}, +{0x01EE7F, 0x0001}, {0x01EE80, 0x0004}, -{0x01EE8A, 0x0080}, +{0x01EE8A, 0x0001}, {0x01EE8B, 0x0004}, -{0x01EE9C, 0x0080}, +{0x01EE9C, 0x0001}, {0x01EEA1, 0x0004}, -{0x01EEA4, 0x0080}, +{0x01EEA4, 0x0001}, {0x01EEA5, 0x0004}, -{0x01EEAA, 0x0080}, +{0x01EEAA, 0x0001}, {0x01EEAB, 0x0004}, -{0x01EEBC, 0x0080}, +{0x01EEBC, 0x0001}, {0x01EEF0, 0x0040}, -{0x01EEF2, 0x0080}, +{0x01EEF2, 0x0001}, {0x01F000, 0x0040}, -{0x01F02C, 0x0080}, +{0x01F02C, 0x0001}, {0x01F030, 0x0040}, -{0x01F094, 0x0080}, +{0x01F094, 0x0001}, {0x01F0A0, 0x0040}, -{0x01F0AF, 0x0080}, +{0x01F0AF, 0x0001}, {0x01F0B1, 0x0040}, -{0x01F0C0, 0x0080}, +{0x01F0C0, 0x0001}, {0x01F0C1, 0x0040}, -{0x01F0D0, 0x0080}, +{0x01F0D0, 0x0001}, {0x01F0D1, 0x0040}, -{0x01F0F6, 0x0080}, +{0x01F0F6, 0x0001}, {0x01F100, 0x0002}, {0x01F10D, 0x0040}, -{0x01F1AE, 0x0080}, +{0x01F1AE, 0x0001}, {0x01F1E6, 0x0040}, -{0x01F203, 0x0080}, +{0x01F203, 0x0001}, {0x01F210, 0x0040}, -{0x01F23C, 0x0080}, +{0x01F23C, 0x0001}, {0x01F240, 0x0040}, -{0x01F249, 0x0080}, +{0x01F249, 0x0001}, {0x01F250, 0x0040}, -{0x01F252, 0x0080}, +{0x01F252, 0x0001}, {0x01F260, 0x0040}, -{0x01F266, 0x0080}, +{0x01F266, 0x0001}, {0x01F300, 0x0040}, -{0x01F6D8, 0x0080}, +{0x01F6D8, 0x0001}, {0x01F6DC, 0x0040}, -{0x01F6ED, 0x0080}, +{0x01F6ED, 0x0001}, {0x01F6F0, 0x0040}, -{0x01F6FD, 0x0080}, +{0x01F6FD, 0x0001}, {0x01F700, 0x0040}, -{0x01F777, 0x0080}, +{0x01F777, 0x0001}, {0x01F77B, 0x0040}, -{0x01F7DA, 0x0080}, +{0x01F7DA, 0x0001}, {0x01F7E0, 0x0040}, -{0x01F7EC, 0x0080}, +{0x01F7EC, 0x0001}, {0x01F7F0, 0x0040}, -{0x01F7F1, 0x0080}, +{0x01F7F1, 0x0001}, {0x01F800, 0x0040}, -{0x01F80C, 0x0080}, +{0x01F80C, 0x0001}, {0x01F810, 0x0040}, -{0x01F848, 0x0080}, +{0x01F848, 0x0001}, {0x01F850, 0x0040}, -{0x01F85A, 0x0080}, +{0x01F85A, 0x0001}, {0x01F860, 0x0040}, -{0x01F888, 0x0080}, +{0x01F888, 0x0001}, {0x01F890, 0x0040}, -{0x01F8AE, 0x0080}, +{0x01F8AE, 0x0001}, {0x01F8B0, 0x0040}, -{0x01F8B2, 0x0080}, +{0x01F8B2, 0x0001}, {0x01F900, 0x0040}, -{0x01FA54, 0x0080}, +{0x01FA54, 0x0001}, {0x01FA60, 0x0040}, -{0x01FA6E, 0x0080}, +{0x01FA6E, 0x0001}, {0x01FA70, 0x0040}, -{0x01FA7D, 0x0080}, +{0x01FA7D, 0x0001}, {0x01FA80, 0x0040}, -{0x01FA89, 0x0080}, +{0x01FA89, 0x0001}, {0x01FA90, 0x0040}, -{0x01FABE, 0x0080}, +{0x01FABE, 0x0001}, {0x01FABF, 0x0040}, -{0x01FAC6, 0x0080}, +{0x01FAC6, 0x0001}, {0x01FACE, 0x0040}, -{0x01FADC, 0x0080}, +{0x01FADC, 0x0001}, {0x01FAE0, 0x0040}, -{0x01FAE9, 0x0080}, +{0x01FAE9, 0x0001}, {0x01FAF0, 0x0040}, -{0x01FAF9, 0x0080}, +{0x01FAF9, 0x0001}, {0x01FB00, 0x0040}, -{0x01FB93, 0x0080}, +{0x01FB93, 0x0001}, {0x01FB94, 0x0040}, -{0x01FBCB, 0x0080}, +{0x01FBCB, 0x0001}, {0x01FBF0, 0x0002}, -{0x01FBFA, 0x0080}, +{0x01FBFA, 0x0001}, {0x020000, 0x0004}, -{0x02A6E0, 0x0080}, +{0x02A6E0, 0x0001}, {0x02A700, 0x0004}, -{0x02B73A, 0x0080}, +{0x02B73A, 0x0001}, {0x02B740, 0x0004}, -{0x02B81E, 0x0080}, +{0x02B81E, 0x0001}, {0x02B820, 0x0004}, -{0x02CEA2, 0x0080}, +{0x02CEA2, 0x0001}, {0x02CEB0, 0x0004}, -{0x02EBE1, 0x0080}, +{0x02EBE1, 0x0001}, {0x02EBF0, 0x0004}, -{0x02EE5E, 0x0080}, +{0x02EE5E, 0x0001}, {0x02F800, 0x0004}, -{0x02FA1E, 0x0080}, +{0x02FA1E, 0x0001}, {0x030000, 0x0004}, -{0x03134B, 0x0080}, +{0x03134B, 0x0001}, {0x031350, 0x0004}, -{0x0323B0, 0x0080}, +{0x0323B0, 0x0001}, +{0x0E0001, 0x0080}, +{0x0E0002, 0x0001}, +{0x0E0020, 0x0080}, +{0x0E0080, 0x0001}, {0x0E0100, 0x0010}, -{0x0E01F0, 0x0080}, +{0x0E01F0, 0x0001}, +{0x0F0000, 0x0080}, +{0x0FFFFE, 0x0001}, +{0x100000, 0x0080}, +{0x10FFFE, 0x0001}, {0x110000, 0x0000}, }; const std::unordered_set unicode_set_whitespace = { -0x000009, 0x00000A, 0x00000B, 0x00000C, 0x00000D, 0x000020, 0x000085, 0x0000A0, 0x001680, 0x002000, 0x002001, 0x002002, 0x002003, 0x002004, 0x002005, 0x002006, 0x002007, 0x002008, 0x002009, 0x00200A, 0x002028, 0x002029, 0x00202F, 0x00205F, 0x003000 +0x000009, +0x00000A, +0x00000B, +0x00000C, +0x00000D, +0x000020, +0x000085, +0x0000A0, +0x001680, +0x002000, +0x002001, +0x002002, +0x002003, +0x002004, +0x002005, +0x002006, +0x002007, +0x002008, +0x002009, +0x00200A, +0x002028, +0x002029, +0x00202F, +0x00205F, +0x003000, }; const std::unordered_map unicode_map_lowercase = { @@ -3222,6 +3267,7 @@ const std::unordered_map unicode_map_lowercase = { {0x002C2C, 0x002C5C}, {0x002C2D, 0x002C5D}, {0x002C2E, 0x002C5E}, +{0x002C2F, 0x002C5F}, {0x002C60, 0x002C61}, {0x002C62, 0x00026B}, {0x002C63, 0x001D7D}, @@ -3402,12 +3448,16 @@ const std::unordered_map unicode_map_lowercase = { {0x00A7BA, 0x00A7BB}, {0x00A7BC, 0x00A7BD}, {0x00A7BE, 0x00A7BF}, +{0x00A7C0, 0x00A7C1}, {0x00A7C2, 0x00A7C3}, {0x00A7C4, 0x00A794}, {0x00A7C5, 0x000282}, {0x00A7C6, 0x001D8E}, {0x00A7C7, 0x00A7C8}, {0x00A7C9, 0x00A7CA}, +{0x00A7D0, 0x00A7D1}, +{0x00A7D6, 0x00A7D7}, +{0x00A7D8, 0x00A7D9}, {0x00A7F5, 0x00A7F6}, {0x00FF21, 0x00FF41}, {0x00FF22, 0x00FF42}, @@ -3511,6 +3561,41 @@ const std::unordered_map unicode_map_lowercase = { {0x0104D1, 0x0104F9}, {0x0104D2, 0x0104FA}, {0x0104D3, 0x0104FB}, +{0x010570, 0x010597}, +{0x010571, 0x010598}, +{0x010572, 0x010599}, +{0x010573, 0x01059A}, +{0x010574, 0x01059B}, +{0x010575, 0x01059C}, +{0x010576, 0x01059D}, +{0x010577, 0x01059E}, +{0x010578, 0x01059F}, +{0x010579, 0x0105A0}, +{0x01057A, 0x0105A1}, +{0x01057C, 0x0105A3}, +{0x01057D, 0x0105A4}, +{0x01057E, 0x0105A5}, +{0x01057F, 0x0105A6}, +{0x010580, 0x0105A7}, +{0x010581, 0x0105A8}, +{0x010582, 0x0105A9}, +{0x010583, 0x0105AA}, +{0x010584, 0x0105AB}, +{0x010585, 0x0105AC}, +{0x010586, 0x0105AD}, +{0x010587, 0x0105AE}, +{0x010588, 0x0105AF}, +{0x010589, 0x0105B0}, +{0x01058A, 0x0105B1}, +{0x01058C, 0x0105B3}, +{0x01058D, 0x0105B4}, +{0x01058E, 0x0105B5}, +{0x01058F, 0x0105B6}, +{0x010590, 0x0105B7}, +{0x010591, 0x0105B8}, +{0x010592, 0x0105B9}, +{0x010594, 0x0105BB}, +{0x010595, 0x0105BC}, {0x010C80, 0x010CC0}, {0x010C81, 0x010CC1}, {0x010C82, 0x010CC2}, @@ -3690,7 +3775,6 @@ const std::unordered_map unicode_map_uppercase = { {0x000079, 0x000059}, {0x00007A, 0x00005A}, {0x0000B5, 0x00039C}, -{0x0000DF, 0x000053}, {0x0000E0, 0x0000C0}, {0x0000E1, 0x0000C1}, {0x0000E2, 0x0000C2}, @@ -3758,7 +3842,6 @@ const std::unordered_map unicode_map_uppercase = { {0x000144, 0x000143}, {0x000146, 0x000145}, {0x000148, 0x000147}, -{0x000149, 0x0002BC}, {0x00014B, 0x00014A}, {0x00014D, 0x00014C}, {0x00014F, 0x00014E}, @@ -3831,7 +3914,6 @@ const std::unordered_map unicode_map_uppercase = { {0x0001EB, 0x0001EA}, {0x0001ED, 0x0001EC}, {0x0001EF, 0x0001EE}, -{0x0001F0, 0x00004A}, {0x0001F2, 0x0001F1}, {0x0001F3, 0x0001F1}, {0x0001F5, 0x0001F4}, @@ -3917,12 +3999,10 @@ const std::unordered_map unicode_map_uppercase = { {0x00037B, 0x0003FD}, {0x00037C, 0x0003FE}, {0x00037D, 0x0003FF}, -{0x000390, 0x000399}, {0x0003AC, 0x000386}, {0x0003AD, 0x000388}, {0x0003AE, 0x000389}, {0x0003AF, 0x00038A}, -{0x0003B0, 0x0003A5}, {0x0003B1, 0x000391}, {0x0003B2, 0x000392}, {0x0003B3, 0x000393}, @@ -4163,7 +4243,6 @@ const std::unordered_map unicode_map_uppercase = { {0x000584, 0x000554}, {0x000585, 0x000555}, {0x000586, 0x000556}, -{0x000587, 0x000535}, {0x0010D0, 0x001C90}, {0x0010D1, 0x001C91}, {0x0010D2, 0x001C92}, @@ -4303,11 +4382,6 @@ const std::unordered_map unicode_map_uppercase = { {0x001E91, 0x001E90}, {0x001E93, 0x001E92}, {0x001E95, 0x001E94}, -{0x001E96, 0x000048}, -{0x001E97, 0x000054}, -{0x001E98, 0x000057}, -{0x001E99, 0x000059}, -{0x001E9A, 0x000041}, {0x001E9B, 0x001E60}, {0x001EA1, 0x001EA0}, {0x001EA3, 0x001EA2}, @@ -4393,13 +4467,9 @@ const std::unordered_map unicode_map_uppercase = { {0x001F43, 0x001F4B}, {0x001F44, 0x001F4C}, {0x001F45, 0x001F4D}, -{0x001F50, 0x0003A5}, {0x001F51, 0x001F59}, -{0x001F52, 0x0003A5}, {0x001F53, 0x001F5B}, -{0x001F54, 0x0003A5}, {0x001F55, 0x001F5D}, -{0x001F56, 0x0003A5}, {0x001F57, 0x001F5F}, {0x001F60, 0x001F68}, {0x001F61, 0x001F69}, @@ -4423,89 +4493,41 @@ const std::unordered_map unicode_map_uppercase = { {0x001F7B, 0x001FEB}, {0x001F7C, 0x001FFA}, {0x001F7D, 0x001FFB}, -{0x001F80, 0x001F08}, -{0x001F81, 0x001F09}, -{0x001F82, 0x001F0A}, -{0x001F83, 0x001F0B}, -{0x001F84, 0x001F0C}, -{0x001F85, 0x001F0D}, -{0x001F86, 0x001F0E}, -{0x001F87, 0x001F0F}, -{0x001F88, 0x001F08}, -{0x001F89, 0x001F09}, -{0x001F8A, 0x001F0A}, -{0x001F8B, 0x001F0B}, -{0x001F8C, 0x001F0C}, -{0x001F8D, 0x001F0D}, -{0x001F8E, 0x001F0E}, -{0x001F8F, 0x001F0F}, -{0x001F90, 0x001F28}, -{0x001F91, 0x001F29}, -{0x001F92, 0x001F2A}, -{0x001F93, 0x001F2B}, -{0x001F94, 0x001F2C}, -{0x001F95, 0x001F2D}, -{0x001F96, 0x001F2E}, -{0x001F97, 0x001F2F}, -{0x001F98, 0x001F28}, -{0x001F99, 0x001F29}, -{0x001F9A, 0x001F2A}, -{0x001F9B, 0x001F2B}, -{0x001F9C, 0x001F2C}, -{0x001F9D, 0x001F2D}, -{0x001F9E, 0x001F2E}, -{0x001F9F, 0x001F2F}, -{0x001FA0, 0x001F68}, -{0x001FA1, 0x001F69}, -{0x001FA2, 0x001F6A}, -{0x001FA3, 0x001F6B}, -{0x001FA4, 0x001F6C}, -{0x001FA5, 0x001F6D}, -{0x001FA6, 0x001F6E}, -{0x001FA7, 0x001F6F}, -{0x001FA8, 0x001F68}, -{0x001FA9, 0x001F69}, -{0x001FAA, 0x001F6A}, -{0x001FAB, 0x001F6B}, -{0x001FAC, 0x001F6C}, -{0x001FAD, 0x001F6D}, -{0x001FAE, 0x001F6E}, -{0x001FAF, 0x001F6F}, +{0x001F80, 0x001F88}, +{0x001F81, 0x001F89}, +{0x001F82, 0x001F8A}, +{0x001F83, 0x001F8B}, +{0x001F84, 0x001F8C}, +{0x001F85, 0x001F8D}, +{0x001F86, 0x001F8E}, +{0x001F87, 0x001F8F}, +{0x001F90, 0x001F98}, +{0x001F91, 0x001F99}, +{0x001F92, 0x001F9A}, +{0x001F93, 0x001F9B}, +{0x001F94, 0x001F9C}, +{0x001F95, 0x001F9D}, +{0x001F96, 0x001F9E}, +{0x001F97, 0x001F9F}, +{0x001FA0, 0x001FA8}, +{0x001FA1, 0x001FA9}, +{0x001FA2, 0x001FAA}, +{0x001FA3, 0x001FAB}, +{0x001FA4, 0x001FAC}, +{0x001FA5, 0x001FAD}, +{0x001FA6, 0x001FAE}, +{0x001FA7, 0x001FAF}, {0x001FB0, 0x001FB8}, {0x001FB1, 0x001FB9}, -{0x001FB2, 0x001FBA}, -{0x001FB3, 0x000391}, -{0x001FB4, 0x000386}, -{0x001FB6, 0x000391}, -{0x001FB7, 0x000391}, -{0x001FBC, 0x000391}, +{0x001FB3, 0x001FBC}, {0x001FBE, 0x000399}, -{0x001FC2, 0x001FCA}, -{0x001FC3, 0x000397}, -{0x001FC4, 0x000389}, -{0x001FC6, 0x000397}, -{0x001FC7, 0x000397}, -{0x001FCC, 0x000397}, +{0x001FC3, 0x001FCC}, {0x001FD0, 0x001FD8}, {0x001FD1, 0x001FD9}, -{0x001FD2, 0x000399}, -{0x001FD3, 0x000399}, -{0x001FD6, 0x000399}, -{0x001FD7, 0x000399}, {0x001FE0, 0x001FE8}, {0x001FE1, 0x001FE9}, -{0x001FE2, 0x0003A5}, -{0x001FE3, 0x0003A5}, -{0x001FE4, 0x0003A1}, {0x001FE5, 0x001FEC}, -{0x001FE6, 0x0003A5}, -{0x001FE7, 0x0003A5}, -{0x001FF2, 0x001FFA}, -{0x001FF3, 0x0003A9}, -{0x001FF4, 0x00038F}, -{0x001FF6, 0x0003A9}, -{0x001FF7, 0x0003A9}, -{0x001FFC, 0x0003A9}, +{0x001FF3, 0x001FFC}, {0x00214E, 0x002132}, {0x002170, 0x002160}, {0x002171, 0x002161}, @@ -4597,6 +4619,7 @@ const std::unordered_map unicode_map_uppercase = { {0x002C5C, 0x002C2C}, {0x002C5D, 0x002C2D}, {0x002C5E, 0x002C2E}, +{0x002C5F, 0x002C2F}, {0x002C61, 0x002C60}, {0x002C65, 0x00023A}, {0x002C66, 0x00023E}, @@ -4800,9 +4823,13 @@ const std::unordered_map unicode_map_uppercase = { {0x00A7BB, 0x00A7BA}, {0x00A7BD, 0x00A7BC}, {0x00A7BF, 0x00A7BE}, +{0x00A7C1, 0x00A7C0}, {0x00A7C3, 0x00A7C2}, {0x00A7C8, 0x00A7C7}, {0x00A7CA, 0x00A7C9}, +{0x00A7D1, 0x00A7D0}, +{0x00A7D7, 0x00A7D6}, +{0x00A7D9, 0x00A7D8}, {0x00A7F6, 0x00A7F5}, {0x00AB53, 0x00A7B3}, {0x00AB70, 0x0013A0}, @@ -4885,18 +4912,6 @@ const std::unordered_map unicode_map_uppercase = { {0x00ABBD, 0x0013ED}, {0x00ABBE, 0x0013EE}, {0x00ABBF, 0x0013EF}, -{0x00FB00, 0x000046}, -{0x00FB01, 0x000046}, -{0x00FB02, 0x000046}, -{0x00FB03, 0x000046}, -{0x00FB04, 0x000046}, -{0x00FB05, 0x000053}, -{0x00FB06, 0x000053}, -{0x00FB13, 0x000544}, -{0x00FB14, 0x000544}, -{0x00FB15, 0x000544}, -{0x00FB16, 0x00054E}, -{0x00FB17, 0x000544}, {0x00FF41, 0x00FF21}, {0x00FF42, 0x00FF22}, {0x00FF43, 0x00FF23}, @@ -4999,6 +5014,41 @@ const std::unordered_map unicode_map_uppercase = { {0x0104F9, 0x0104D1}, {0x0104FA, 0x0104D2}, {0x0104FB, 0x0104D3}, +{0x010597, 0x010570}, +{0x010598, 0x010571}, +{0x010599, 0x010572}, +{0x01059A, 0x010573}, +{0x01059B, 0x010574}, +{0x01059C, 0x010575}, +{0x01059D, 0x010576}, +{0x01059E, 0x010577}, +{0x01059F, 0x010578}, +{0x0105A0, 0x010579}, +{0x0105A1, 0x01057A}, +{0x0105A3, 0x01057C}, +{0x0105A4, 0x01057D}, +{0x0105A5, 0x01057E}, +{0x0105A6, 0x01057F}, +{0x0105A7, 0x010580}, +{0x0105A8, 0x010581}, +{0x0105A9, 0x010582}, +{0x0105AA, 0x010583}, +{0x0105AB, 0x010584}, +{0x0105AC, 0x010585}, +{0x0105AD, 0x010586}, +{0x0105AE, 0x010587}, +{0x0105AF, 0x010588}, +{0x0105B0, 0x010589}, +{0x0105B1, 0x01058A}, +{0x0105B3, 0x01058C}, +{0x0105B4, 0x01058D}, +{0x0105B5, 0x01058E}, +{0x0105B6, 0x01058F}, +{0x0105B7, 0x010590}, +{0x0105B8, 0x010591}, +{0x0105B9, 0x010592}, +{0x0105BB, 0x010594}, +{0x0105BC, 0x010595}, {0x010CC0, 0x010C80}, {0x010CC1, 0x010C81}, {0x010CC2, 0x010C82}, diff --git a/unicode.cpp b/unicode.cpp index 2f8d73832..913c34b9b 100644 --- a/unicode.cpp +++ b/unicode.cpp @@ -226,8 +226,9 @@ static std::vector unicode_regex_split_custom_gpt2(const std::string & t assert(offset_end <= cpts.size()); start = offset_end; + static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF; auto _get_cpt = [&] (const size_t pos) -> uint32_t { - return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0; + return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE; }; auto _get_flags = [&] (const size_t pos) -> codepoint_flags { @@ -309,7 +310,7 @@ static std::vector unicode_regex_split_custom_gpt2(const std::string & t } // regex: \s+(?!\S) - if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) { + if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) { pos += num_whitespaces - 1; _add_token(pos); continue; @@ -344,8 +345,9 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & assert(offset_end <= cpts.size()); start = offset_end; + static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF; auto _get_cpt = [&] (const size_t pos) -> uint32_t { - return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0; + return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE; }; auto _get_flags = [&] (const size_t pos) -> codepoint_flags { @@ -450,7 +452,7 @@ static std::vector unicode_regex_split_custom_llama3(const std::string & } // regex: \s+(?!\S) - if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) { + if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) { pos += num_whitespaces - 1; _add_token(pos); continue; @@ -679,10 +681,14 @@ std::vector unicode_regex_split(const std::string & text, const std continue; } - const int cpt_flag = unicode_cpt_flags(cpts[i]).category_flag(); + const auto flags = unicode_cpt_flags(cpts[i]); - if (k_ucat_cpt.find(cpt_flag) != k_ucat_cpt.end()) { - text_collapsed[i] = k_ucat_cpt.at(cpt_flag); + if (flags.is_whitespace) { + //NOTE: C++ std::regex \s does not mach 0x85, Rust and Python regex does. + //text_collapsed[i] = (char) 0x85; // as whitespace fallback + text_collapsed[i] = (char) 0x0B; // as whitespace fallback + } else if (k_ucat_cpt.find(flags.category_flag()) != k_ucat_cpt.end()) { + text_collapsed[i] = k_ucat_cpt.at(flags.category_flag()); } else { text_collapsed[i] = (char) 0xD0; // fallback } @@ -766,9 +772,16 @@ std::vector unicode_regex_split(const std::string & text, const std bpe_offsets = unicode_regex_split_stl(text_collapsed, regex_expr_collapsed, bpe_offsets); } else { // no unicode category used, we can use std::wregex directly - const std::wstring wtext = unicode_wstring_from_utf8(text); const std::wstring wregex_expr = unicode_wstring_from_utf8(regex_expr); + // std::wregex \s does not mach non-ASCII whitespaces, using 0x0B as fallback + std::wstring wtext(cpts.begin(), cpts.end()); + for (size_t i = 0; i < wtext.size(); ++i) { + if (wtext[i] > 0x7F && unicode_cpt_flags(wtext[i]).is_whitespace) { + wtext[i] = 0x0B; + } + } + //printf("text: %s\n", text.c_str()); //printf("regex_expr: %s\n", regex_expr.c_str()); bpe_offsets = unicode_regex_split_stl(wtext, wregex_expr, bpe_offsets); From 623494a478134432fd2d7ee40135770a3340674f Mon Sep 17 00:00:00 2001 From: "Meng, Hengyu" Date: Wed, 19 Jun 2024 09:11:51 +0800 Subject: [PATCH 29/59] [SYCL] refactor (#6408) * seperate lower precision GEMM from the main files * fix workgroup size hardcode --- ggml-sycl.cpp | 7004 +------------------------------------- ggml-sycl/backend.hpp | 5 + ggml-sycl/convert.cpp | 544 +++ ggml-sycl/convert.hpp | 27 + ggml-sycl/dequantize.hpp | 690 ++++ ggml-sycl/dmmv.cpp | 1022 ++++++ ggml-sycl/dmmv.hpp | 27 + ggml-sycl/mmq.cpp | 3031 +++++++++++++++++ ggml-sycl/mmq.hpp | 33 + ggml-sycl/mmvq.cpp | 1024 ++++++ ggml-sycl/mmvq.hpp | 27 + ggml-sycl/presets.hpp | 2 - ggml-sycl/vecdotq.hpp | 1161 +++++++ 13 files changed, 7600 insertions(+), 6997 deletions(-) create mode 100644 ggml-sycl/convert.cpp create mode 100644 ggml-sycl/convert.hpp create mode 100644 ggml-sycl/dequantize.hpp create mode 100644 ggml-sycl/dmmv.cpp create mode 100644 ggml-sycl/dmmv.hpp create mode 100644 ggml-sycl/mmq.cpp create mode 100644 ggml-sycl/mmq.hpp create mode 100644 ggml-sycl/mmvq.cpp create mode 100644 ggml-sycl/mmvq.hpp create mode 100644 ggml-sycl/vecdotq.hpp diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp index 6bd42b960..485f06ad3 100644 --- a/ggml-sycl.cpp +++ b/ggml-sycl.cpp @@ -38,67 +38,17 @@ #include "ggml-sycl/backend.hpp" -/* -Following definition copied from DPCT head files, which are used by ggml-sycl.cpp -*/ -// COPY from DPCT head files -#include -#include -#include - -#if defined(__linux__) -#include -#elif defined(_WIN64) -#ifndef NOMINMAX -#define NOMINMAX -#endif -#include -#else -#error "Only support Windows and Linux." -#endif - -#if defined(__linux__) -#include -#include -#endif -#if defined(_WIN64) -#ifndef NOMINMAX -#define NOMINMAX -#endif -#include -#endif - -#define DPCT_COMPATIBILITY_TEMP (900) - -#if defined(_MSC_VER) -#define __dpct_align__(n) __declspec(align(n)) -#define __dpct_inline__ __forceinline -#else -#define __dpct_align__(n) __attribute__((aligned(n))) -#define __dpct_inline__ __inline__ __attribute__((always_inline)) -#endif - -#if defined(_MSC_VER) -#define __dpct_noinline__ __declspec(noinline) -#else -#define __dpct_noinline__ __attribute__((noinline)) -#endif - bool ggml_sycl_loaded(void); void ggml_sycl_free_data(struct ggml_tensor * tensor); -void ggml_sycl_assign_buffers(struct ggml_tensor * tensor); -void ggml_sycl_assign_buffers_no_scratch(struct ggml_tensor * tensor); -void ggml_sycl_assign_buffers_force_inplace(struct ggml_tensor * tensor); -void ggml_sycl_assign_buffers_no_alloc(struct ggml_tensor * tensor); void ggml_sycl_copy_to_device(struct ggml_tensor * tensor); void ggml_sycl_set_main_device(int main_device); void ggml_sycl_set_mul_mat_q(bool mul_mat_q); -void ggml_sycl_set_scratch_size(size_t scratch_size); -void ggml_sycl_free_scratch(void); void ggml_sycl_get_device_description(int device, char * description, size_t description_size); bool ggml_backend_is_sycl(ggml_backend_t backend); int ggml_backend_sycl_get_device(ggml_backend_t backend); static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer); +static inline int get_sycl_env(const char *env_name, int default_val); +static inline int get_work_group_size(const sycl::device& device); void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst, const void *ptr_src, size_t size) { @@ -108,45 +58,6 @@ void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst, free(host_buf); } -static __dpct_inline__ int get_int_from_int8(const int8_t *x8, const int &i32) { - const uint16_t * x16 = (const uint16_t *) (x8 + sizeof(int) * i32); // assume at least 2 byte alignment - - int x32 = 0; - x32 |= x16[0] << 0; - x32 |= x16[1] << 16; - - return x32; -} - -static __dpct_inline__ int get_int_from_uint8(const uint8_t *x8, - const int &i32) { - const uint16_t * x16 = (const uint16_t *) (x8 + sizeof(int) * i32); // assume at least 2 byte alignment - - int x32 = 0; - x32 |= x16[0] << 0; - x32 |= x16[1] << 16; - - return x32; -} - -static __dpct_inline__ int get_int_from_int8_aligned(const int8_t *x8, - const int &i32) { - return *((const int *) (x8 + sizeof(int) * i32)); // assume at least 4 byte alignment -} - -static __dpct_inline__ int get_int_from_uint8_aligned(const uint8_t *x8, - const int &i32) { - return *((const int *) (x8 + sizeof(int) * i32)); // assume at least 4 byte alignment -} - -template -using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y, - int k, queue_ptr stream); -typedef to_t_sycl_t to_fp32_sycl_t; -typedef to_t_sycl_t to_fp16_sycl_t; - -typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v); -typedef void (*dot_kernel_k_t)(const void * __restrict__ vx, const int ib, const int iqs, const float * __restrict__ y, float & v); typedef void (*cpy_kernel_t)(const char * cx, char * cdst); typedef void (*ggml_sycl_func_t)(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); typedef void (*ggml_sycl_op_mul_mat_t)( @@ -162,22 +73,6 @@ typedef void (*ggml_sycl_op_flatten_t)(ggml_backend_sycl_context & ctx, const gg const float *src1_dd, float *dst_dd, const queue_ptr &main_stream); -typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs); -typedef void (*allocate_tiles_sycl_t)(int **x_ql, sycl::half2 **x_dm, - int **x_qh, int **x_sc); -typedef void (*load_tiles_sycl_t)(const void *__restrict__ vx, - int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, - int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, - const int &i_max, const int &k, - const int &blocks_per_row); -typedef float (*vec_dot_q_mul_mat_sycl_t)( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ms, - const int &i, const int &j, const int &k); - static __dpct_inline__ float warp_reduce_sum(float x, const sycl::nd_item<3> &item_ct1) { #pragma unroll @@ -664,1069 +559,6 @@ static void rms_norm_f32(const float * x, float * dst, const int ncols, const fl } } -static __dpct_inline__ void dequantize_q4_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q4_0 * x = (const block_q4_0 *) vx; - - const dfloat d = x[ib].d; - - const int vui = x[ib].qs[iqs]; - - v.x() = vui & 0xF; - v.y() = vui >> 4; - -#ifdef GGML_SYCL_F16 - // v = v - {8.0f, 8.0f}; - // v = v * {d, d}; - v.s0() = (v.s0() - 8.0f) * d; - v.s1() = (v.s1() - 8.0f) * d; - -#else - v.x() = (v.x() - 8.0f) * d; - v.y() = (v.y() - 8.0f) * d; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q4_1(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q4_1 * x = (const block_q4_1 *) vx; - - const dfloat d = x[ib].dm[0]; - const dfloat m = x[ib].dm[1]; - - const int vui = x[ib].qs[iqs]; - - v.x() = vui & 0xF; - v.y() = vui >> 4; - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - // v = v + {m, m}; - v.s0() = (v.s0() * d) + m; - v.s1() = (v.s1() * d) + m; - -#else - v.x() = (v.x() * d) + m; - v.y() = (v.y() * d) + m; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q5_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q5_0 * x = (const block_q5_0 *) vx; - - const dfloat d = x[ib].d; - - uint32_t qh; - memcpy(&qh, x[ib].qh, sizeof(qh)); - - const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; - const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; - - v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); - v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); - -#ifdef GGML_SYCL_F16 - // v = v - {16.0f, 16.0f}; - // v = v * {d, d}; - v.s0() = (v.s0() - 16.0f) * d; - v.s1() = (v.s1() - 16.0f) * d; - -#else - v.x() = (v.x() - 16.0f) * d; - v.y() = (v.y() - 16.0f) * d; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q5_1(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q5_1 * x = (const block_q5_1 *) vx; - - const dfloat d = x[ib].dm[0]; - const dfloat m = x[ib].dm[1]; - - uint32_t qh; - memcpy(&qh, x[ib].qh, sizeof(qh)); - - const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; - const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; - - v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); - v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - // v = v + {m, m}; - v.s0() = (v.s0() * d) + m; - v.s1() = (v.s1() * d) + m; -#else - v.x() = (v.x() * d) + m; - v.y() = (v.y() * d) + m; -#endif // GGML_SYCL_F16 -} - -static __dpct_inline__ void dequantize_q8_0(const void *vx, const int ib, - const int iqs, dfloat2 &v) { - const block_q8_0 * x = (const block_q8_0 *) vx; - - const dfloat d = x[ib].d; - - v.x() = x[ib].qs[iqs + 0]; - v.y() = x[ib].qs[iqs + 1]; - -#ifdef GGML_SYCL_F16 - // v = v * {d, d}; - v.s0() *= d; - v.s1() *= d; -#else - v.x() *= d; - v.y() *= d; -#endif // GGML_SYCL_F16 -} - -template -static void dequantize_block_q4_0(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int ib = 8*i + ir; - if (ib >= nb32) { - return; - } - - dst_t * y = yy + 256*i + 32*ir + 4*il; - - const block_q4_0 * x = (const block_q4_0 *)vx + ib; - const float d = sycl::vec(x->d) - .convert()[0]; - const float dm = -8*d; - - const uint8_t * q = x->qs + 4*il; - - for (int l = 0; l < 4; ++l) { - y[l+ 0] = d * (q[l] & 0xF) + dm; - y[l+16] = d * (q[l] >> 4) + dm; - } -} - -template -static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int ib = 8*i + ir; - if (ib >= nb32) { - return; - } - - dst_t * y = yy + 256*i + 32*ir + 4*il; - - const block_q4_1 * x = (const block_q4_1 *)vx + ib; - const sycl::float2 d = - x->dm.convert(); - - const uint8_t * q = x->qs + 4*il; - - for (int l = 0; l < 4; ++l) { - y[l + 0] = d.x() * (q[l] & 0xF) + d.y(); - y[l + 16] = d.x() * (q[l] >> 4) + d.y(); - } -} - - -//================================== k-quants - -template -static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_q2_K * x = (const block_q2_K *) vx; - - const int tid = item_ct1.get_local_id(2); - const int n = tid/32; - const int l = tid - 32*n; - const int is = 8*n + l/16; - - const uint8_t q = x[i].qs[32*n + l]; - dst_t * y = yy + i*QK_K + 128*n; - - float dall = x[i].dm[0]; - float dmin = x[i].dm[1]; - y[l+ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4); - y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4); - y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4); - y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4); -} - -template -static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_q3_K * x = (const block_q3_K *) vx; - - const int r = item_ct1.get_local_id(2) / 4; - const int tid = r/2; - const int is0 = r%2; - const int l0 = 16 * is0 + 4 * (item_ct1.get_local_id(2) % 4); - const int n = tid / 4; - const int j = tid - 4*n; - - uint8_t m = 1 << (4*n + j); - int is = 8*n + 2*j + is0; - int shift = 2*j; - - int8_t us = is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) : - (x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4); - float d_all = x[i].d; - float dl = d_all * (us - 32); - - dst_t * y = yy + i*QK_K + 128*n + 32*j; - const uint8_t * q = x[i].qs + 32*n; - const uint8_t * hm = x[i].hmask; - - for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4)); -} - -static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) { - if (j < 4) { - d = q[j] & 63; m = q[j + 4] & 63; - } else { - d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4); - m = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4); - } -} - -template -static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q4_K * x = (const block_q4_K *) vx; - - const int i = item_ct1.get_group(2); - - // assume 32 threads - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; - const int ir = tid%8; - const int is = 2*il; - const int n = 4; - - dst_t * y = yy + i*QK_K + 64*il + n*ir; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint8_t * q = x[i].qs + 32*il + n*ir; - - uint8_t sc, m; - get_scale_min_k4(is + 0, x[i].scales, sc, m); - const float d1 = dall * sc; const float m1 = dmin * m; - get_scale_min_k4(is + 1, x[i].scales, sc, m); - const float d2 = dall * sc; const float m2 = dmin * m; - for (int l = 0; l < n; ++l) { - y[l + 0] = d1 * (q[l] & 0xF) - m1; - y[l +32] = d2 * (q[l] >> 4) - m2; - } -} - -template -static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q5_K * x = (const block_q5_K *) vx; - - const int i = item_ct1.get_group(2); - - // assume 64 threads - this is very slightly better than the one below - const int tid = item_ct1.get_local_id(2); - const int il = tid/16; // il is in 0...3 - const int ir = tid%16; // ir is in 0...15 - const int is = 2*il; // is is in 0...6 - - dst_t * y = yy + i*QK_K + 64*il + 2*ir; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint8_t * ql = x[i].qs + 32*il + 2*ir; - const uint8_t * qh = x[i].qh + 2*ir; - - uint8_t sc, m; - get_scale_min_k4(is + 0, x[i].scales, sc, m); - const float d1 = dall * sc; const float m1 = dmin * m; - get_scale_min_k4(is + 1, x[i].scales, sc, m); - const float d2 = dall * sc; const float m2 = dmin * m; - - uint8_t hm = 1 << (2*il); - y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1; - y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1; - hm <<= 1; - y[32] = d2 * ((ql[ 0] >> 4) + (qh[ 0] & hm ? 16 : 0)) - m2; - y[33] = d2 * ((ql[ 1] >> 4) + (qh[ 1] & hm ? 16 : 0)) - m2; -} - -template -static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const block_q6_K * x = (const block_q6_K *) vx; - - const int i = item_ct1.get_group(2); - - // assume 64 threads - this is very slightly better than the one below - const int tid = item_ct1.get_local_id(2); - const int ip = tid/32; // ip is 0 or 1 - const int il = tid - 32*ip; // 0...32 - const int is = 8*ip + il/16; - - dst_t * y = yy + i*QK_K + 128*ip + il; - - const float d = x[i].d; - - const uint8_t * ql = x[i].ql + 64*ip + il; - const uint8_t qh = x[i].qh[32*ip + il]; - const int8_t * sc = x[i].scales + is; - - y[ 0] = d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32); - y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32); - y[64] = d * sc[4] * ((int8_t)((ql[ 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32); - y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32); -} - -template -static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint64_t *iq2xxs_grid_ptr, - const uint8_t *ksigns_iq2xs_ptr, - const uint8_t *kmask_iq2xs_ptr) { - - const int i = item_ct1.get_group(2); - const block_iq2_xxs * x = (const block_iq2_xxs *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * q2 = x[i].qs + 4*ib; - const uint8_t * aux8 = (const uint8_t *)q2; - const uint8_t * grid = (const uint8_t *)(iq2xxs_grid_ptr + aux8[il]); - const uint32_t aux32 = q2[2] | (q2[3] << 16); - const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f; - const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127]; - for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f); -} - -template -static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint64_t *iq2xs_grid, - const uint8_t *ksigns_iq2xs, - const uint8_t *kmask_iq2xs) { - - const int i = item_ct1.get_group(2); - const block_iq2_xs * x = (const block_iq2_xs *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * q2 = x[i].qs + 4*ib; - const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511)); - const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; - const uint8_t signs = ksigns_iq2xs[q2[il] >> 9]; - for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); -} - -template -__dpct_inline__ static void -dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_iq2_s * x = (const block_iq2_s *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300))); - const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; - const uint8_t signs = x[i].qs[QK_K/8+4*ib+il]; -#pragma unroll - for (int j = 0; j < 8; ++j) { - y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); - } -} - -template -static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq3xxs_grid, - const uint8_t *ksigns_iq2xs, - const uint8_t *kmask_iq2xs) { - - const int i = item_ct1.get_group(2); - const block_iq3_xxs * x = (const block_iq3_xxs *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * q3 = x[i].qs + 8*ib; - const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib; - const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]); - const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]); - const uint32_t aux32 = gas[0] | (gas[1] << 16); - const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.5f; - const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127]; - for (int j = 0; j < 4; ++j) { - y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); - y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); - } -} - -template -__dpct_inline__ static void -dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint8_t *kmask_iq2xs, const uint32_t *iq3s_grid) { - - const int i = item_ct1.get_group(2); - const block_iq3_s * x = (const block_iq3_s *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint8_t * qs = x[i].qs + 8*ib; - const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256))); - const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256))); - const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf)); - const uint8_t signs = x[i].signs[4*ib + il]; -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); - y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); - } -} - -template -__dpct_inline__ static void -dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq1s_grid_gpu) { - - const int i = item_ct1.get_group(2); - const block_iq1_s * x = (const block_iq1_s *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA; - const float d = (float)x[i].d * (2*((x[i].qh[ib] >> 12) & 7) + 1); - uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; - grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)]; - grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; - grid32[0] &= 0x0f0f0f0f; -#pragma unroll - for (int j = 0; j < 8; ++j) { - y[j] = d * (q[j] + delta); - } -} - -template -__dpct_inline__ static void -dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1, - const uint32_t *iq1s_grid_gpu) { - - const int i = item_ct1.get_group(2); - const block_iq1_m * x = (const block_iq1_m *) vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 8*il; - const uint16_t * sc = (const uint16_t *)x[i].scales; - iq1m_scale_t scale; - scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); - const int ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4); - const float d = (float)scale.f16 * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1); - const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA; - uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; - grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)]; - grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; - grid32[0] &= 0x0f0f0f0f; -#pragma unroll - for (int j = 0; j < 8; ++j) { - y[j] = d * (q[j] + delta); - } -} - -template -__dpct_inline__ static void -dequantize_block_iq4_nl(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - - const int i = item_ct1.get_group(2); - const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL); - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 4*il; - const uint8_t * q4 = x[ib].qs + 4*il; - const float d = (float)x[ib].d; -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; - y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; - } - -} - - -template -__dpct_inline__ static void -dequantize_block_iq4_xs(const void *__restrict__ vx, dst_t *__restrict__ yy, - const sycl::nd_item<3> &item_ct1) { - const int i = item_ct1.get_group(2); - const block_iq4_xs * x = (const block_iq4_xs *)vx; - - const int tid = item_ct1.get_local_id(2); - const int il = tid/8; // 0...3 - const int ib = tid%8; // 0...7 - dst_t * y = yy + i*QK_K + 32*ib + 4*il; - const uint8_t * q4 = x[i].qs + 16*ib + 4*il; - const float d = (float)x[i].d * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32); -#pragma unroll - for (int j = 0; j < 4; ++j) { - y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; - y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; - } -} - - - -/* -DPCT1110:4: The total declared local variable size in device function -dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q2_K * x = (const block_q2_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int step = 16/K_QUANTS_PER_ITERATION; - - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0...15 or 0...7 - - const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 or 0...14 in steps of 2 - const int q_offset = 32*im + l0; - const int s_offset = 8*im; - const int y_offset = 128*im + l0; - - uint32_t aux[4]; - const uint8_t * d = (const uint8_t *)aux; - const uint8_t * m = (const uint8_t *)(aux + 2); - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * q = x[i].qs + q_offset; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint32_t * a = (const uint32_t *)(x[i].scales + s_offset); - aux[0] = a[0] & 0x0f0f0f0f; - aux[1] = a[1] & 0x0f0f0f0f; - aux[2] = (a[0] >> 4) & 0x0f0f0f0f; - aux[3] = (a[1] >> 4) & 0x0f0f0f0f; - - float sum1 = 0, sum2 = 0; - for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3) - + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3) - + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3) - + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3) - + y[l+16] * d[1] * ((q[l+16] >> 0) & 3) - + y[l+48] * d[3] * ((q[l+16] >> 2) & 3) - + y[l+80] * d[5] * ((q[l+16] >> 4) & 3) - +y[l+112] * d[7] * ((q[l+16] >> 6) & 3); - sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6] - + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7]; - - } - tmp += dall * sum1 - dmin * sum2; - - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:5: The total declared local variable size in device function -dequantize_mul_mat_vec_q3_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q3_K * x = (const block_q3_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - - const uint16_t kmask1 = 0x0303; - const uint16_t kmask2 = 0x0f0f; - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int n = K_QUANTS_PER_ITERATION; // iterations in the inner loop - const int step = 16/K_QUANTS_PER_ITERATION; - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0....15 or 0...7 - - const uint8_t m = 1 << (4*im); - - const int l0 = n*in; // 0...15 or 0...14 in steps of 2 - const int q_offset = 32*im + l0; - const int y_offset = 128*im + l0; - - uint16_t utmp[4]; - const int8_t * s = (const int8_t *)utmp; - - const uint16_t s_shift = 4*im; - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * q = x[i].qs + q_offset; - const uint8_t * h = x[i].hmask + l0; - - const uint16_t * a = (const uint16_t *)x[i].scales; - utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4); - utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4); - utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4); - utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4); - - const float d = x[i].d; - - float sum = 0; - for (int l = 0; l < n; ++l) { - sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4)) - + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4)) - + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4)) - + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4)); - sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4)) - + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4)) - + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4)) - + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4)); - } - tmp += d * sum; - - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:6: The total declared local variable size in device function -dequantize_mul_mat_vec_q4_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q4_K * x = (const block_q4_K *)vx + ib0; - - const uint16_t kmask1 = 0x3f3f; - const uint16_t kmask2 = 0x0f0f; - const uint16_t kmask3 = 0xc0c0; - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 - - const int step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 - - const int il = tid/step; // 0...3 - const int ir = tid - step*il; // 0...7 or 0...3 - const int n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 - - const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const int in = il%2; - - const int l0 = n*(2*ir + in); - const int q_offset = 32*im + l0; - const int y_offset = 64*im + l0; - - uint16_t aux[4]; - const uint8_t * sc = (const uint8_t *)aux; - -#if K_QUANTS_PER_ITERATION == 2 - uint32_t q32[4]; - const uint8_t * q4 = (const uint8_t *)q32; -#else - uint16_t q16[4]; - const uint8_t * q4 = (const uint8_t *)q16; -#endif - - float tmp = 0; // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y1 = yy + i*QK_K + y_offset; - const float * y2 = y1 + 128; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint16_t * a = (const uint16_t *)x[i].scales; - aux[0] = a[im+0] & kmask1; - aux[1] = a[im+2] & kmask1; - aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); - aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); - -#if K_QUANTS_PER_ITERATION == 2 - const uint32_t * q1 = (const uint32_t *)(x[i].qs + q_offset); - const uint32_t * q2 = q1 + 16; - - q32[0] = q1[0] & 0x0f0f0f0f; - q32[1] = q1[0] & 0xf0f0f0f0; - q32[2] = q2[0] & 0x0f0f0f0f; - q32[3] = q2[0] & 0xf0f0f0f0; - - sycl::float4 s = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - for (int l = 0; l < 4; ++l) { - s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4]; - s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12]; - smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; - } - tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f + - s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) - - dmin * smin; -#else - const uint16_t * q1 = (const uint16_t *)(x[i].qs + q_offset); - const uint16_t * q2 = q1 + 32; - - q16[0] = q1[0] & 0x0f0f; - q16[1] = q1[0] & 0xf0f0; - q16[2] = q2[0] & 0x0f0f; - q16[3] = q2[0] & 0xf0f0; - - float4 s = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - for (int l = 0; l < 2; ++l) { - s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2]; - s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6]; - smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; - } - tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin; -#endif - - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { - dst[row] = tmp; - } -} - -/* -DPCT1110:7: The total declared local variable size in device function -dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register -pressure. Consult with your hardware vendor to find the total register size -available and adjust the code, or use smaller sub-group size to avoid high -register pressure. -*/ -static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx, - const float *__restrict__ yy, - float *__restrict__ dst, - const int ncols, - const sycl::nd_item<3> &item_ct1) { - - const int row = item_ct1.get_group(2); - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q5_K * x = (const block_q5_K *)vx + ib0; - - float tmp = 0; // partial sum for thread in warp - - const uint16_t kmask1 = 0x3f3f; - const uint16_t kmask2 = 0x0f0f; - const uint16_t kmask3 = 0xc0c0; - - const int tid = item_ct1.get_local_id(2) / 2; // 0...15 - const int ix = item_ct1.get_local_id(2) % 2; - - const int il = tid/4; // 0...3 - const int ir = tid - 4*il;// 0...3 - const int n = 2; - - const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 - const int in = il%2; - - const int l0 = n*(2*ir + in); - const int q_offset = 32*im + l0; - const int y_offset = 64*im + l0; - - const uint8_t hm1 = 1 << (2*im); - const uint8_t hm2 = hm1 << 4; - - uint16_t aux[4]; - const uint8_t * sc = (const uint8_t *)aux; - - uint16_t q16[8]; - const uint8_t * q4 = (const uint8_t *)q16; - - for (int i = ix; i < num_blocks_per_row; i += 2) { - - const uint8_t * ql1 = x[i].qs + q_offset; - const uint8_t * qh = x[i].qh + l0; - const float * y1 = yy + i*QK_K + y_offset; - const float * y2 = y1 + 128; - - const float dall = x[i].dm[0]; - const float dmin = x[i].dm[1]; - - const uint16_t * a = (const uint16_t *)x[i].scales; - aux[0] = a[im+0] & kmask1; - aux[1] = a[im+2] & kmask1; - aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); - aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); - - sycl::float4 sum = {0.f, 0.f, 0.f, 0.f}; - float smin = 0; - const uint16_t * q1 = (const uint16_t *)ql1; - const uint16_t * q2 = q1 + 32; - q16[0] = q1[0] & 0x0f0f; - q16[1] = q1[8] & 0x0f0f; - q16[2] = (q1[0] >> 4) & 0x0f0f; - q16[3] = (q1[8] >> 4) & 0x0f0f; - q16[4] = q2[0] & 0x0f0f; - q16[5] = q2[8] & 0x0f0f; - q16[6] = (q2[0] >> 4) & 0x0f0f; - q16[7] = (q2[8] >> 4) & 0x0f0f; - for (int l = 0; l < n; ++l) { - sum.x() += - y1[l + 0] * (q4[l + 0] + (qh[l + 0] & (hm1 << 0) ? 16 : 0)) + - y1[l + 16] * (q4[l + 2] + (qh[l + 16] & (hm1 << 0) ? 16 : 0)); - sum.y() += - y1[l + 32] * (q4[l + 4] + (qh[l + 0] & (hm1 << 1) ? 16 : 0)) + - y1[l + 48] * (q4[l + 6] + (qh[l + 16] & (hm1 << 1) ? 16 : 0)); - sum.z() += - y2[l + 0] * (q4[l + 8] + (qh[l + 0] & (hm2 << 0) ? 16 : 0)) + - y2[l + 16] * (q4[l + 10] + (qh[l + 16] & (hm2 << 0) ? 16 : 0)); - sum.w() += - y2[l + 32] * (q4[l + 12] + (qh[l + 0] & (hm2 << 1) ? 16 : 0)) + - y2[l + 48] * (q4[l + 14] + (qh[l + 16] & (hm2 << 1) ? 16 : 0)); - smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3] - + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7]; - } - tmp += dall * (sum.x() * sc[0] + sum.y() * sc[1] + sum.z() * sc[4] + - sum.w() * sc[5]) - - dmin * smin; - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows, - const sycl::nd_item<3> &item_ct1) { - - static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); - - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - if (row > nrows) return; - - const int num_blocks_per_row = ncols / QK_K; - const int ib0 = row*num_blocks_per_row; - - const block_q6_K * x = (const block_q6_K *)vx + ib0; - - const int tid = - item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = - item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int in = tid - step*im; // 0...15 or 0...7 - -#if K_QUANTS_PER_ITERATION == 1 - const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 - const int is = 0; -#else - const int l0 = 4 * in; // 0, 4, 8, ..., 28 - const int is = in / 4; -#endif - const int ql_offset = 64*im + l0; - const int qh_offset = 32*im + l0; - const int s_offset = 8*im + is; - const int y_offset = 128*im + l0; - - float tmp = 0; // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - - const float * y = yy + i * QK_K + y_offset; - const uint8_t * ql = x[i].ql + ql_offset; - const uint8_t * qh = x[i].qh + qh_offset; - const int8_t * s = x[i].scales + s_offset; - - const float d = x[i].d; - -#if K_QUANTS_PER_ITERATION == 1 - float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32) - + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32) - + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32) - + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32) - + y[64] * s[4] * d * ((int8_t)((ql[ 0] >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32) - + y[80] * s[5] * d * ((int8_t)((ql[16] >> 4) | ((qh[16] & 0x30) >> 0)) - 32) - + y[96] * s[6] * d * ((int8_t)((ql[32] >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32) - +y[112] * s[7] * d * ((int8_t)((ql[48] >> 4) | ((qh[16] & 0xc0) >> 2)) - 32); - tmp += sum; -#else - float sum = 0; - for (int l = 0; l < 4; ++l) { - sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32) - + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32) - + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32) - + y[l+96] * s[6] * d * ((int8_t)((ql[l+32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32); - } - tmp += sum; -#endif - - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { - dst[row] = tmp; - } -} - -static void convert_f16(const void * vx, const int ib, const int iqs, dfloat2 & v){ - const sycl::half *x = (const sycl::half *)vx; - - // automatic half -> float type cast if dfloat == float - v.x() = x[ib + iqs + 0]; - v.y() = x[ib + iqs + 1]; -} - -static void convert_f32(const void * vx, const int ib, const int iqs, dfloat2 & v){ - const float * x = (const float *) vx; - - // automatic half -> float type cast if dfloat == float - v.x() = x[ib + iqs + 0]; - v.y() = x[ib + iqs + 1]; -} - static void quantize_q8_1(const float * __restrict__ x, void * __restrict__ vy, const int kx, const int kx_padded, const sycl::nd_item<3> &item_ct1) { const int ix = item_ct1.get_local_range(2) * item_ct1.get_group(2) + @@ -1848,3287 +680,6 @@ static void k_get_rows_float( dst_row[i00] = src0_row[i00]; } -template -static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, - const sycl::nd_item<3> &item_ct1) { - const int i = 2 * (item_ct1.get_local_range(2) * item_ct1.get_group(2) + - item_ct1.get_local_id(2)); - - if (i >= k) { - return; - } - - const int ib = i/qk; // block index - const int iqs = (i%qk)/qr; // quant index - const int iybs = i - i%qk; // y block start index - const int y_offset = qr == 1 ? 1 : qk/2; - - // dequantize - dfloat2 v; - dequantize_kernel(vx, ib, iqs, v); - - y[iybs + iqs + 0] = v.x(); - y[iybs + iqs + y_offset] = v.y(); -} - -template -static void convert_unary(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, - const sycl::nd_item<3> &item_ct1) { - const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) + - item_ct1.get_local_id(2); - - if (i >= k) { - return; - } - - const src_t * x = (src_t *) vx; - - y[i] = x[i]; -} - -// VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called -// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q - -#define VDR_Q4_0_Q8_1_MMVQ 2 -#define VDR_Q4_0_Q8_1_MMQ 4 - -template -static __dpct_inline__ float vec_dot_q4_0_q8_1_impl(const int *v, const int *u, - const float &d4, - const sycl::half2 &ds8) { - int sumi = 0; -#pragma unroll - for (int i = 0; i < vdr; ++i) { - const int vi0 = (v[i] >> 0) & 0x0F0F0F0F; - const int vi1 = (v[i] >> 4) & 0x0F0F0F0F; - - // SIMD dot product of quantized values - sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi); - sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi); - } - - const sycl::float2 ds8f = - ds8.convert(); - - // second part effectively subtracts 8 from each quant value - return d4 * (sumi * ds8f.x() - (8 * vdr / QI4_0) * ds8f.y()); -} - -#define VDR_Q4_1_Q8_1_MMVQ 2 -#define VDR_Q4_1_Q8_1_MMQ 4 - -template -static __dpct_inline__ float vec_dot_q4_1_q8_1_impl(const int *v, const int *u, - const sycl::half2 &dm4, - const sycl::half2 &ds8) { - - int sumi = 0; - -#pragma unroll - for (int i = 0; i < vdr; ++i) { - const int vi0 = (v[i] >> 0) & 0x0F0F0F0F; - const int vi1 = (v[i] >> 4) & 0x0F0F0F0F; - - // SIMD dot product of quantized values - sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi); - sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi); - } - -#ifdef GGML_SYCL_F16 - const sycl::float2 tmp = - (dm4 * ds8).convert(); - const float d4d8 = tmp.x(); - const float m4s8 = tmp.y(); -#else - const sycl::float2 dm4f = - dm4.convert(); - const sycl::float2 ds8f = - ds8.convert(); - const float d4d8 = dm4f.x() * ds8f.x(); - const float m4s8 = dm4f.y() * ds8f.y(); -#endif // GGML_SYCL_F16 - - // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it - return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1)); -} - -#define VDR_Q5_0_Q8_1_MMVQ 2 -#define VDR_Q5_0_Q8_1_MMQ 4 - -template -static __dpct_inline__ float -vec_dot_q5_0_q8_1_impl(const int *vl, const int *vh, const int *u, - const float &d5, const sycl::half2 &ds8) { - int sumi = 0; - -#pragma unroll - for (int i = 0; i < vdr; ++i) { - int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits - vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4 - vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12 - vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20 - vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28 - sumi = dpct::dp4a(vi0, u[2 * i + 0], - sumi); // SIMD dot product of quantized values - - int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits - vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4 - vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12 - vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20 - vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28 - sumi = dpct::dp4a(vi1, u[2 * i + 1], - sumi); // SIMD dot product of quantized values - } - - const sycl::float2 ds8f = - ds8.convert(); - - // second part effectively subtracts 16 from each quant value - return d5 * (sumi * ds8f.x() - (16 * vdr / QI5_0) * ds8f.y()); -} - -#define VDR_Q5_1_Q8_1_MMVQ 2 -#define VDR_Q5_1_Q8_1_MMQ 4 - -template -static __dpct_inline__ float -vec_dot_q5_1_q8_1_impl(const int *vl, const int *vh, const int *u, - const sycl::half2 &dm5, const sycl::half2 &ds8) { - - int sumi = 0; - -#pragma unroll - for (int i = 0; i < vdr; ++i) { - int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits - vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4 - vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12 - vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20 - vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28 - sumi = dpct::dp4a(vi0, u[2 * i + 0], - sumi); // SIMD dot product of quantized values - - int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits - vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4 - vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12 - vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20 - vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28 - sumi = dpct::dp4a(vi1, u[2 * i + 1], - sumi); // SIMD dot product of quantized values - } - -#ifdef GGML_SYCL_F16 - const sycl::float2 tmp = - (dm5 * ds8).convert(); - const float d5d8 = tmp.x(); - const float m5s8 = tmp.y(); - - -#else - const sycl::float2 dm5f = - dm5.convert(); - const sycl::float2 ds8f = - ds8.convert(); - const float d5d8 = dm5f.x() * ds8f.x(); - const float m5s8 = dm5f.y() * ds8f.y(); -#endif // GGML_SYCL_F16 - - // scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it - return sumi*d5d8 + m5s8 / (QI5_1 / vdr); -} - -#define VDR_Q8_0_Q8_1_MMVQ 2 -#define VDR_Q8_0_Q8_1_MMQ 8 - -template -static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u, - const float &d8_0, - const float &d8_1) { - - int sumi = 0; - -#pragma unroll - for (int i = 0; i < vdr; ++i) { - // SIMD dot product of quantized values - sumi = dpct::dp4a(v[i], u[i], sumi); - } - - return d8_0*d8_1 * sumi; -} - -template -static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u, - const sycl::half2 &dm8, - const sycl::half2 &ds8) { - - int sumi = 0; - -#pragma unroll - for (int i = 0; i < vdr; ++i) { - // SIMD dot product of quantized values - sumi = dpct::dp4a(v[i], u[i], sumi); - } - -#ifdef GGML_SYCL_F16 - const sycl::float2 tmp = - (dm8 * ds8).convert(); - const float d8d8 = tmp.x(); - const float m8s8 = tmp.y(); -#else - const sycl::float2 dm8f = - dm8.convert(); - const sycl::float2 ds8f = - ds8.convert(); - const float d8d8 = dm8f.x() * ds8f.x(); - const float m8s8 = dm8f.y() * ds8f.y(); -#endif // GGML_SYCL_F16 - - // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it - return sumi*d8d8 + m8s8 / (QI8_1 / vdr); -} - -#define VDR_Q2_K_Q8_1_MMVQ 1 -#define VDR_Q2_K_Q8_1_MMQ 2 - -// contiguous v/x values -static __dpct_inline__ float vec_dot_q2_K_q8_1_impl_mmvq( - const int &v, const int *__restrict__ u, const uint8_t *__restrict__ scales, - const sycl::half2 &dm2, const float *__restrict__ d8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR2_K; ++i) { - const int sc = scales[2*i]; - - const int vi = (v >> (2*i)) & 0x03030303; - - sumf_d += - d8[i] * (dpct::dp4a(vi, u[i], 0) * (sc & 0xF)); // SIMD dot product - - // fill int with 4x m - int m = sc >> 4; - m |= m << 8; - m |= m << 16; - sumf_m += d8[i] * - dpct::dp4a( - m, u[i], - 0); // multiply constant q2_K part with sum of q8_1 values - } - - const sycl::float2 dm2f = - dm2.convert(); - - return dm2f.x() * sumf_d - dm2f.y() * sumf_m; -} - -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q2_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ scales, - const sycl::half2 &dm2, const float &d8) { - - int sumi_d = 0; - int sumi_m = 0; - -#pragma unroll - for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) { - int sumi_d_sc = 0; - - const int sc = scales[i0 / (QI8_1/2)]; - - // fill int with 4x m - int m = sc >> 4; - m |= m << 8; - m |= m << 16; - -#pragma unroll - for (int i = i0; i < i0 + QI8_1/2; ++i) { - sumi_d_sc = dpct::dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product - sumi_m = dpct::dp4a(m, u[i], - sumi_m); // multiply sum of q8_1 values with m - } - - sumi_d += sumi_d_sc * (sc & 0xF); - } - - const sycl::float2 dm2f = - dm2.convert(); - - return d8 * (dm2f.x() * sumi_d - dm2f.y() * sumi_m); -} - -#define VDR_Q3_K_Q8_1_MMVQ 1 -#define VDR_Q3_K_Q8_1_MMQ 2 - -// contiguous v/x values -static __dpct_inline__ float vec_dot_q3_K_q8_1_impl_mmvq( - const int &vl, const int &vh, const int *__restrict__ u, - const uint8_t *__restrict__ scales, const int &scale_offset, - const float &d3, const float *__restrict__ d8) { - - float sumf = 0.0f; - -#pragma unroll - for (int i = 0; i < QR3_K; ++i) { - const int isc = scale_offset + 2*i; - - const int isc_low = isc % (QK_K/32); - const int sc_shift_low = 4 * (isc / (QK_K/32)); - const int sc_low = (scales[isc_low] >> sc_shift_low) & 0xF; - - const int isc_high = isc % (QK_K/64); - const int sc_shift_high = 2 * (isc / (QK_K/64)); - const int sc_high = ((scales[(QK_K/32) + isc_high] >> sc_shift_high) & 3) << 4; - - const int sc = (sc_low | sc_high) - 32; - - const int vil = (vl >> (2*i)) & 0x03030303; - - const int vih = ((vh >> i) << 2) & 0x04040404; - - const int vi = - dpct::vectorized_binary(vil, vih, dpct::sub_sat()); - - sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product - } - - return d3 * sumf; -} - -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q3_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const int8_t *__restrict__ scales, const float &d3, - const float &d8) { - - int sumi = 0; - -#pragma unroll - for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) { - int sumi_sc = 0; - - for (int i = i0; i < i0 + QI8_1/2; ++i) { - sumi_sc = dpct::dp4a(v[i], u[i], sumi_sc); // SIMD dot product - } - - sumi += sumi_sc * scales[i0 / (QI8_1/2)]; - } - - return d3*d8 * sumi; -} - -#define VDR_Q4_K_Q8_1_MMVQ 2 -#define VDR_Q4_K_Q8_1_MMQ 8 - -// contiguous v/x values -static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_vmmq( - const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, - const sycl::half2 &dm4, const float *__restrict__ d8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR4_K; ++i) { - const int v0i = (v[0] >> (4*i)) & 0x0F0F0F0F; - const int v1i = (v[1] >> (4*i)) & 0x0F0F0F0F; - - const int dot1 = - dpct::dp4a(v1i, u[2 * i + 1], - dpct::dp4a(v0i, u[2 * i + 0], 0)); // SIMD dot product - const int dot2 = - dpct::dp4a(0x01010101, u[2 * i + 1], - dpct::dp4a(0x01010101, u[2 * i + 0], 0)); // sum of u - - sumf_d += d8[i] * (dot1 * sc[i]); - sumf_m += d8[i] * (dot2 * m[i]); // multiply constant part of q4_K with sum of q8_1 values - } - - const sycl::float2 dm4f = - dm4.convert(); - - return dm4f.x() * sumf_d - dm4f.y() * sumf_m; -} - -// contiguous u/y values -static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_mmq( - const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, - const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR4_K*VDR_Q4_K_Q8_1_MMQ/QI8_1; ++i) { - int sumi_d = 0; - -#pragma unroll - for (int j = 0; j < QI8_1; ++j) { - sumi_d = dpct::dp4a((v[j] >> (4 * i)) & 0x0F0F0F0F, - u[i * QI8_1 + j], sumi_d); // SIMD dot product - } - - const sycl::float2 ds8f = - ds8[i].convert(); - - sumf_d += ds8f.x() * (sc[i] * sumi_d); - sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val - } - - const sycl::float2 dm4f = - dm4.convert(); - - return dm4f.x() * sumf_d - dm4f.y() * sumf_m; -} - -#define VDR_Q5_K_Q8_1_MMVQ 2 -#define VDR_Q5_K_Q8_1_MMQ 8 - -// contiguous v/x values -static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_vmmq( - const int *__restrict__ vl, const int *__restrict__ vh, - const int *__restrict__ u, const uint8_t *__restrict__ sc, - const uint8_t *__restrict__ m, const sycl::half2 &dm5, - const float *__restrict__ d8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR5_K; ++i) { - const int vl0i = (vl[0] >> (4*i)) & 0x0F0F0F0F; - const int vl1i = (vl[1] >> (4*i)) & 0x0F0F0F0F; - - const int vh0i = ((vh[0] >> i) << 4) & 0x10101010; - const int vh1i = ((vh[1] >> i) << 4) & 0x10101010; - - const int v0i = vl0i | vh0i; - const int v1i = vl1i | vh1i; - - const int dot1 = - dpct::dp4a(v0i, u[2 * i + 0], - dpct::dp4a(v1i, u[2 * i + 1], 0)); // SIMD dot product - const int dot2 = - dpct::dp4a(0x01010101, u[2 * i + 0], - dpct::dp4a(0x01010101, u[2 * i + 1], 0)); // sum of u - - sumf_d += d8[i] * (dot1 * sc[i]); - sumf_m += d8[i] * (dot2 * m[i]); - - } - - const sycl::float2 dm5f = - dm5.convert(); - - return dm5f.x() * sumf_d - dm5f.y() * sumf_m; -} - -// contiguous u/y values -static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_mmq( - const int *__restrict__ v, const int *__restrict__ u, - const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, - const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { - - float sumf_d = 0.0f; - float sumf_m = 0.0f; - -#pragma unroll - for (int i = 0; i < QR5_K*VDR_Q5_K_Q8_1_MMQ/QI8_1; ++i) { - int sumi_d = 0; - -#pragma unroll - for (int j = 0; j < QI8_1; ++j) { - sumi_d = dpct::dp4a(v[i * QI8_1 + j], u[i * QI8_1 + j], - sumi_d); // SIMD dot product - } - - const sycl::float2 ds8f = - ds8[i].convert(); - - sumf_d += ds8f.x() * (sc[i] * sumi_d); - sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val - } - - const sycl::float2 dm4f = - dm4.convert(); - - return dm4f.x() * sumf_d - dm4f.y() * sumf_m; -} - -#define VDR_Q6_K_Q8_1_MMVQ 1 -#define VDR_Q6_K_Q8_1_MMQ 8 - -// contiguous v/x values -static __dpct_inline__ float -vec_dot_q6_K_q8_1_impl_mmvq(const int &vl, const int &vh, - const int *__restrict__ u, - const int8_t *__restrict__ scales, const float &d, - const float *__restrict__ d8) { - - float sumf = 0.0f; - -#pragma unroll - for (int i = 0; i < QR6_K; ++i) { - const int sc = scales[4*i]; - - const int vil = (vl >> (4*i)) & 0x0F0F0F0F; - - const int vih = ((vh >> (4*i)) << 4) & 0x30303030; - - const int vi = dpct::vectorized_binary( - (vil | vih), 0x20202020, dpct::sub_sat()); // vi = (vil | vih) - 32 - - sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product - } - - return d*sumf; -} - -// contiguous u/y values -static __dpct_inline__ float -vec_dot_q6_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, - const int8_t *__restrict__ sc, const float &d6, - const float *__restrict__ d8) { - - float sumf_d = 0.0f; - -#pragma unroll - for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) { - sycl::int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale - -#pragma unroll - for (int i = i0; i < i0 + 2; ++i) { - sumi_d.x() = dpct::dp4a(v[2 * i + 0], u[2 * i + 0], - sumi_d.x()); // SIMD dot product - sumi_d.x() = dpct::dp4a(v[2 * i + 1], u[2 * i + 1], - sumi_d.x()); // SIMD dot product - - sumi_d.y() = dpct::dp4a(v[2 * i + 4], u[2 * i + 4], - sumi_d.y()); // SIMD dot product - sumi_d.y() = dpct::dp4a(v[2 * i + 5], u[2 * i + 5], - sumi_d.y()); // SIMD dot product - } - - sumf_d += d8[i0 / 4] * - (sc[i0 / 2 + 0] * sumi_d.x() + sc[i0 / 2 + 1] * sumi_d.y()); - } - - return d6 * sumf_d; -} - -static __dpct_inline__ float -vec_dot_q4_0_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq; - - int v[VDR_Q4_0_Q8_1_MMVQ]; - int u[2*VDR_Q4_0_Q8_1_MMVQ]; - -#pragma unroll - for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) { - v[i] = get_int_from_uint8(bq4_0->qs, iqs + i); - u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); - u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0); - } - - return vec_dot_q4_0_q8_1_impl(v, u, bq4_0->d, bq8_1->ds); -} - -template -static __dpct_inline__ void -allocate_tiles_q4_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q4_0, float *tile_x_d_q4_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q4_0; - *x_dm = (sycl::half2 *)tile_x_d_q4_0; -} - -template -static __dpct_inline__ void -load_tiles_q4_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_0; - const int kqsx = k % QI4_0; - - const block_q4_0 * bx0 = (const block_q4_0 *) vx; - - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); - // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_0; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) { - int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q4_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const float * x_dmf = (const float *) x_dm; - - int u[2*VDR_Q4_0_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE]; - } - - return vec_dot_q4_0_q8_1_impl - (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0], - y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -static __dpct_inline__ float -vec_dot_q4_1_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq; - - int v[VDR_Q4_1_Q8_1_MMVQ]; - int u[2*VDR_Q4_1_Q8_1_MMVQ]; - -#pragma unroll - for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) { - v[i] = get_int_from_uint8_aligned(bq4_1->qs, iqs + i); - u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); - u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1); - } - - return vec_dot_q4_1_q8_1_impl(v, u, bq4_1->dm, bq8_1->ds); -} - -template -static __dpct_inline__ void -allocate_tiles_q4_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q4_1, sycl::half2 *tile_x_dm_q4_1) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q4_1; - *x_dm = tile_x_dm_q4_1; -} - -template -static __dpct_inline__ void -load_tiles_q4_1(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_1; - const int kqsx = k % QI4_1; - - const block_q4_1 * bx0 = (const block_q4_1 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_1; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) { - int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm; - } -} - -static __dpct_inline__ float vec_dot_q4_1_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - - int u[2*VDR_Q4_1_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE]; - } - - return vec_dot_q4_1_q8_1_impl - (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1], - y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -static __dpct_inline__ float -vec_dot_q5_0_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq; - - int vl[VDR_Q5_0_Q8_1_MMVQ]; - int vh[VDR_Q5_0_Q8_1_MMVQ]; - int u[2*VDR_Q5_0_Q8_1_MMVQ]; - -#pragma unroll - for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) { - vl[i] = get_int_from_uint8(bq5_0->qs, iqs + i); - vh[i] = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i)); - u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); - u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0); - } - - return vec_dot_q5_0_q8_1_impl(vl, vh, u, bq5_0->d, bq8_1->ds); -} - -template -static __dpct_inline__ void -allocate_tiles_q5_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_0, float *tile_x_d_q5_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_ql_q5_0; - *x_dm = (sycl::half2 *)tile_x_d_q5_0; -} - -template -static __dpct_inline__ void -load_tiles_q5_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_0; - const int kqsx = k % QI5_0; - - const block_q5_0 * bx0 = (const block_q5_0 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx; - - const int ql = get_int_from_uint8(bxi->qs, kqsx); - const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0)); - - int qs0 = (ql >> 0) & 0x0F0F0F0F; - qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 - qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 - qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 - qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 - qs0 = dpct::vectorized_binary( - qs0, 0x10101010, dpct::sub_sat()); // subtract 16 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; - - int qs1 = (ql >> 4) & 0x0F0F0F0F; - qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 - qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 - qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 - qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 - qs1 = dpct::vectorized_binary( - qs1, 0x10101010, dpct::sub_sat()); // subtract 16 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_0; - const int kbxd = k % blocks_per_tile_x_row; - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) { - int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q5_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0; - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - int u[2*VDR_Q5_0_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE]; - } - - return vec_dot_q8_0_q8_1_impl - (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -static __dpct_inline__ float -vec_dot_q5_1_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq; - - int vl[VDR_Q5_1_Q8_1_MMVQ]; - int vh[VDR_Q5_1_Q8_1_MMVQ]; - int u[2*VDR_Q5_1_Q8_1_MMVQ]; - -#pragma unroll - for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) { - vl[i] = get_int_from_uint8_aligned(bq5_1->qs, iqs + i); - vh[i] = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i)); - u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); - u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1); - } - - return vec_dot_q5_1_q8_1_impl(vl, vh, u, bq5_1->dm, bq8_1->ds); -} - -template -static __dpct_inline__ void -allocate_tiles_q5_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_1, sycl::half2 *tile_x_dm_q5_1) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_ql_q5_1; - *x_dm = tile_x_dm_q5_1; -} - -template -static __dpct_inline__ void -load_tiles_q5_1(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_1; - const int kqsx = k % QI5_1; - - const block_q5_1 * bx0 = (const block_q5_1 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx; - - const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); - const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1)); - - int qs0 = (ql >> 0) & 0x0F0F0F0F; - qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 - qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 - qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 - qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; - - int qs1 = (ql >> 4) & 0x0F0F0F0F; - qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 - qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 - qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 - qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 - - x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_1; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) { - int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm; - } -} - -static __dpct_inline__ float vec_dot_q5_1_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); - const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1; - - int u[2*VDR_Q5_1_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) { - u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; - u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE]; - } - - return vec_dot_q8_1_q8_1_impl - (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); -} - -static __dpct_inline__ float -vec_dot_q8_0_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq; - - int v[VDR_Q8_0_Q8_1_MMVQ]; - int u[VDR_Q8_0_Q8_1_MMVQ]; - -#pragma unroll - for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) { - v[i] = get_int_from_int8(bq8_0->qs, iqs + i); - u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); - } - - return vec_dot_q8_0_q8_1_impl(v, u, bq8_0->d, - bq8_1->ds[0]); -} - -template -static __dpct_inline__ void -allocate_tiles_q8_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_qs_q8_0, float *tile_x_d_q8_0) { - (void)x_qh; (void)x_sc; - - *x_ql = tile_x_qs_q8_0; - *x_dm = (sycl::half2 *)tile_x_d_q8_0; -} - -template -static __dpct_inline__ void -load_tiles_q8_0(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; (void)x_sc; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI8_0; - const int kqsx = k % QI8_0; - float * x_dmf = (float *) x_dm; - - const block_q8_0 * bx0 = (const block_q8_0 *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI8_0; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) { - int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d; - } -} - -static __dpct_inline__ float vec_dot_q8_0_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; (void)x_sc; - - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - return vec_dot_q8_0_q8_1_impl - (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0], - y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]); -} - -static __dpct_inline__ float -vec_dot_q2_K_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q2_K * bq2_K = (const block_q2_K *) vbq; - - const int bq8_offset = QR2_K * (iqs / QI8_1); - const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2); - - const uint8_t * scales = bq2_K->scales + scale_offset; - - const int v = get_int_from_uint8_aligned(bq2_K->qs, iqs); - int u[QR2_K]; - float d8[QR2_K]; - -#pragma unroll - for (int i = 0; i < QR2_K; ++ i) { - u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1); - d8[i] = bq8_1[bq8_offset + i].ds[0]; - } - - return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales, bq2_K->dm, d8); -} - -template -static __dpct_inline__ void -allocate_tiles_q2_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q2_K, sycl::half2 *tile_x_dm_q2_K, - int *tile_x_sc_q2_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q2_K; - *x_dm = tile_x_dm_q2_K; - *x_sc = tile_x_sc_q2_K; -} - -template -static __dpct_inline__ void -load_tiles_q2_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI2_K; - const int kqsx = k % QI2_K; - - const block_q2_K * bx0 = (const block_q2_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI2_K; - const int kbxd = k % blocks_per_tile_x_row; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) { - int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { - int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4); - - x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4)); - } -} - -static __dpct_inline__ float vec_dot_q2_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const int kbx = k / QI2_K; - const int ky = (k % QI2_K) * QR2_K; - const float * y_df = (const float *) y_ds; - - int v[QR2_K*VDR_Q2_K_Q8_1_MMQ]; - - const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2); - const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2)); - -#pragma unroll - for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) { - v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303; - } - - const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4; - - const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE; - return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]); -} - -static __dpct_inline__ float -vec_dot_q3_K_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q3_K * bq3_K = (const block_q3_K *) vbq; - - const int bq8_offset = QR3_K * (iqs / (QI3_K/2)); - const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2); - - const float d = bq3_K->d; - - const int vl = get_int_from_uint8(bq3_K->qs, iqs); - - // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted - const int vh = ~get_int_from_uint8(bq3_K->hmask, iqs % (QI3_K/2)) >> bq8_offset; - - int u[QR3_K]; - float d8[QR3_K]; - -#pragma unroll - for (int i = 0; i < QR3_K; ++i) { - u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1); - d8[i] = bq8_1[bq8_offset + i].ds[0]; - } - - return vec_dot_q3_K_q8_1_impl_mmvq(vl, vh, u, bq3_K->scales, scale_offset, d, d8); -} - -template -static __dpct_inline__ void -allocate_tiles_q3_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q3_K, sycl::half2 *tile_x_dm_q3_K, - int *tile_x_qh_q3_K, int *tile_x_sc_q3_K) { - - *x_ql = tile_x_ql_q3_K; - *x_dm = tile_x_dm_q3_K; - *x_qh = tile_x_qh_q3_K; - *x_sc = tile_x_sc_q3_K; -} - -template -static __dpct_inline__ void -load_tiles_q3_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI3_K; - const int kqsx = k % QI3_K; - - const block_q3_K * bx0 = (const block_q3_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI3_K; - const int kbxd = k % blocks_per_tile_x_row; - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) { - int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) { - int i = i0 + i_offset * 2 + k / (WARP_SIZE/2); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2); - - // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted - x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2)); - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { - int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4); - - const int ksc = k % (QI3_K/4); - - const int ksc_low = ksc % (QI3_K/8); - const int shift_low = 4 * (ksc / (QI3_K/8)); - const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F; - - const int ksc_high = QI3_K/8; - const int shift_high = 2 * ksc; - const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030; - - const int sc = dpct::vectorized_binary( - sc_low | sc_high, 0x20202020, dpct::sub_sat()); - - x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc; - } -} - -static __dpct_inline__ float vec_dot_q3_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - - const int kbx = k / QI3_K; - const int ky = (k % QI3_K) * QR3_K; - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4; - - int v[QR3_K*VDR_Q3_K_Q8_1_MMQ]; - -#pragma unroll - for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) { - const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2); - const int shift = 2 * ((ky % 32) / 8); - const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303; - - const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8); - const int vlh = (vh << 2) & 0x04040404; - - v[l] = dpct::vectorized_binary(vll, vlh, dpct::sub_sat()); - } - - const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE; - return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]); -} - -static __dpct_inline__ float -vec_dot_q4_K_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q4_K * bq4_K = (const block_q4_K *) vbq; - - int v[2]; - int u[2*QR4_K]; - float d8[QR4_K]; - - // iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6 - const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2)); - - // iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12 - // iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44 - // iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76 - // iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108 - - const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4)); - v[0] = q4[0]; - v[1] = q4[4]; - - const uint16_t * scales = (const uint16_t *)bq4_K->scales; - uint16_t aux[2]; - const int j = bq8_offset/2; - if (j < 2) { - aux[0] = scales[j+0] & 0x3f3f; - aux[1] = scales[j+2] & 0x3f3f; - } else { - aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2); - aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2); - } - const uint8_t * sc = (const uint8_t *)aux; - const uint8_t * m = sc + 2; - - for (int i = 0; i < QR4_K; ++i) { - const block_q8_1 * bq8i = bq8_1 + bq8_offset + i; - d8[i] = bq8i->ds[0]; - - const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4); - u[2*i+0] = q8[0]; - u[2*i+1] = q8[4]; - } - - return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8); -} - -template -static __dpct_inline__ void -allocate_tiles_q4_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q4_K, sycl::half2 *tile_x_dm_q4_K, - int *tile_x_sc_q4_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q4_K; - *x_dm = tile_x_dm_q4_K; - *x_sc = tile_x_sc_q4_K; -} - -template -static __dpct_inline__ void -load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI4_K; // == 0 if QK_K == 256 - const int kqsx = k % QI4_K; // == k if QK_K == 256 - - const block_q4_K * bx0 = (const block_q4_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx; - - x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) { - int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8); - - const int * scales = (const int *) bxi->scales; - - const int ksc = k % (WARP_SIZE/8); - - // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 - int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits - scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits - - x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; - } -} - -static __dpct_inline__ float vec_dot_q4_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8); - - const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE; - return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8, - x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]); -} - -static __dpct_inline__ float -vec_dot_q5_K_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q5_K * bq5_K = (const block_q5_K *) vbq; - - int vl[2]; - int vh[2]; - int u[2*QR5_K]; - float d8[QR5_K]; - - const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2)); - const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4)); - const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4)); - - vl[0] = ql[0]; - vl[1] = ql[4]; - - vh[0] = qh[0] >> bq8_offset; - vh[1] = qh[4] >> bq8_offset; - - const uint16_t * scales = (const uint16_t *)bq5_K->scales; - uint16_t aux[2]; - const int j = bq8_offset/2; - if (j < 2) { - aux[0] = scales[j+0] & 0x3f3f; - aux[1] = scales[j+2] & 0x3f3f; - } else { - aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2); - aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2); - } - const uint8_t * sc = (const uint8_t *)aux; - const uint8_t * m = sc + 2; - -#pragma unroll - for (int i = 0; i < QR5_K; ++i) { - const block_q8_1 * bq8i = bq8_1 + bq8_offset + i; - d8[i] = bq8i->ds[0]; - - const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4); - u[2*i+0] = q8[0]; - u[2*i+1] = q8[4]; - } - - return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8); -} - -template -static __dpct_inline__ void -allocate_tiles_q5_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql_q5_K, sycl::half2 *tile_x_dm_q5_K, - int *tile_x_sc_q5_K) { - (void)x_qh; - - *x_ql = tile_x_ql_q5_K; - *x_dm = tile_x_dm_q5_K; - *x_sc = tile_x_sc_q5_K; -} - -template -static __dpct_inline__ void -load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI5_K; // == 0 if QK_K == 256 - const int kqsx = k % QI5_K; // == k if QK_K == 256 - - const block_q5_K * bx0 = (const block_q5_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx; - const int ky = QR5_K*kqsx; - - const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); - const int ql0 = (ql >> 0) & 0x0F0F0F0F; - const int ql1 = (ql >> 4) & 0x0F0F0F0F; - - const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4)); - const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010; - const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010; - - const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0; - const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4); - - x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0; - x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1; - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) { - int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8); - - const int * scales = (const int *) bxi->scales; - - const int ksc = k % (WARP_SIZE/8); - - // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 - int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits - scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits - - x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; - } -} - -static __dpct_inline__ float vec_dot_q5_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8); - - const int index_x = i * (QR5_K*WARP_SIZE + 1) + QR5_K*k; - const int index_y = j * WARP_SIZE + (QR5_K*k) % WARP_SIZE; - return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8, - x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]); -} - -static __dpct_inline__ float -vec_dot_q6_K_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_q6_K * bq6_K = (const block_q6_K *) vbq; - - const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4); - const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8); - const int vh_shift = 2 * ((iqs % (QI6_K/2)) / (QI6_K/4)); - - const int vl = get_int_from_uint8(bq6_K->ql, iqs); - const int vh = get_int_from_uint8(bq6_K->qh, (QI6_K/4) * (iqs / (QI6_K/2)) + iqs % (QI6_K/4)) >> vh_shift; - - const int8_t * scales = bq6_K->scales + scale_offset; - - int u[QR6_K]; - float d8[QR6_K]; - -#pragma unroll - for (int i = 0; i < QR6_K; ++i) { - u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + 2*i].qs, iqs % QI8_1); - d8[i] = bq8_1[bq8_offset + 2 * i].ds[0]; - } - - return vec_dot_q6_K_q8_1_impl_mmvq(vl, vh, u, scales, bq6_K->d, d8); -} - -template -static __dpct_inline__ void -allocate_tiles_q6_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, - int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_sc) { - (void)x_qh; - - *x_ql = tile_x_ql; - *x_dm = tile_x_dm; - *x_sc = tile_x_sc; -} - -template -static __dpct_inline__ void -load_tiles_q6_K(const void *__restrict__ vx, int *__restrict__ x_ql, - sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, - int *__restrict__ x_sc, const int &i_offset, const int &i_max, - const int &k, const int &blocks_per_row) { - (void)x_qh; - - GGML_SYCL_ASSUME(i_offset >= 0); - GGML_SYCL_ASSUME(i_offset < nwarps); - GGML_SYCL_ASSUME(k >= 0); - GGML_SYCL_ASSUME(k < WARP_SIZE); - - const int kbx = k / QI6_K; // == 0 if QK_K == 256 - const int kqsx = k % QI6_K; // == k if QK_K == 256 - - const block_q6_K * bx0 = (const block_q6_K *) vx; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { - int i = i0 + i_offset; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx; - const int ky = QR6_K*kqsx; - - const int ql = get_int_from_uint8(bxi->ql, kqsx); - const int ql0 = (ql >> 0) & 0x0F0F0F0F; - const int ql1 = (ql >> 4) & 0x0F0F0F0F; - - const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4)); - const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030; - const int qh1 = (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) & 0x30303030; - - const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0; - const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2); - - x_ql[i * (2 * WARP_SIZE + 1) + kq0] = - dpct::vectorized_binary(ql0 | qh0, 0x20202020, - dpct::sub_sat()); - x_ql[i * (2 * WARP_SIZE + 1) + kq1] = - dpct::vectorized_binary(ql1 | qh1, 0x20202020, - dpct::sub_sat()); - } - - const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256 - const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 - float * x_dmf = (float *) x_dm; - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) { - int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd; - - x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d; - } - -#pragma unroll - for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { - int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; - - if (need_check) { - i = sycl::min(i, i_max); - } - - const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4; - - x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8)); - } -} - -static __dpct_inline__ float vec_dot_q6_K_q8_1_mul_mat( - const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, - const int *__restrict__ x_qh, const int *__restrict__ x_sc, - const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, - const int &i, const int &j, const int &k) { - (void)x_qh; - - const float * x_dmf = (const float *) x_dm; - const float * y_df = (const float *) y_ds; - - const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]); - - const int index_x = i * (QR6_K*WARP_SIZE + 1) + QR6_K*k; - const int index_y = j * WARP_SIZE + (QR6_K*k) % WARP_SIZE; - return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]); -} - - -static __dpct_inline__ float -vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs, - const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs, - const uint8_t *kmask_iq2xs) { - const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq; - -#if QR2_XXS == 8 - const int ib32 = iqs; - const uint16_t * q2 = bq2->qs + 4*ib32; - const uint8_t * aux8 = (const uint8_t *)q2; - const int8_t * q8 = bq8_1[ib32].qs; - uint32_t aux32 = q2[2] | (q2[3] << 16); - int sumi = 0; - for (int l = 0; l < 4; ++l) { - const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]); - const uint8_t signs = ksigns_iq2xs[aux32 & 127]; - for (int j = 0; j < 8; ++j) { - sumi += q8[j] * grid[j] * (signs & kmask_iq2xs[j] ? -1 : 1); - } - q8 += 8; - aux32 >>= 7; - } - const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.25f; - return d * sumi; -#else - // iqs is 0...15 - const int ib32 = iqs/2; - const int il = iqs%2; - const uint16_t * q2 = bq2->qs + 4*ib32; - const uint8_t * aux8 = (const uint8_t *)q2; - const uint8_t * grid1 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+0]); - const uint8_t * grid2 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+1]); - const uint32_t aux32 = q2[2] | (q2[3] << 16); - const float d = (float)bq2->d * (0.5f + (aux32 >> 28)) * bq8_1[ib32].ds[0] * 0.25f; - const uint8_t signs1 = ksigns_iq2xs[(aux32 >> 14*il) & 127]; - const uint8_t signs2 = ksigns_iq2xs[(aux32 >> (14*il + 7)) & 127]; - const int8_t * q8 = bq8_1[ib32].qs + 16*il; - int sumi1 = 0, sumi2 = 0; - for (int j = 0; j < 8; ++j) { - sumi1 += q8[j+0] * grid1[j] * (signs1 & kmask_iq2xs[j] ? -1 : 1); - sumi2 += q8[j+8] * grid2[j] * (signs2 & kmask_iq2xs[j] ? -1 : 1); - } - return d * (sumi1 + sumi2); -#endif -} - -static __dpct_inline__ float -vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs, - const uint64_t *iq2xs_grid, const uint64_t *ksigns64) { -#if DPCT_COMPATIBILITY_TEMP >= \ - MIN_CC_DP4A // lowest compute capability for integer intrinsics - const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq; - - const int ib32 = iqs; - const uint16_t * q2 = bq2->qs + 4*ib32; - const int8_t * q8 = bq8_1[ib32].qs; - const uint8_t ls1 = bq2->scales[ib32] & 0xf; - const uint8_t ls2 = bq2->scales[ib32] >> 4; - int sumi1 = 0; - for (int l = 0; l < 2; ++l) { - const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511)); - const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9)); - const int grid_l = dpct::vectorized_binary( - grid[0] ^ signs[0], signs[0], std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid[1] ^ signs[1], signs[1], std::minus<>()); - sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1); - sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1); - q8 += 8; - } - int sumi2 = 0; - for (int l = 2; l < 4; ++l) { - const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511)); - const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9)); - const int grid_l = dpct::vectorized_binary( - grid[0] ^ signs[0], signs[0], std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid[1] ^ signs[1], signs[1], std::minus<>()); - sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2); - sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2); - q8 += 8; - } - const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f; - return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2); -#else - assert(false); - return 0.f; -#endif -} - -static __dpct_inline__ float -vec_dot_iq2_s_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - const block_iq2_s * bq2 = (const block_iq2_s *) vbq; - - const int ib32 = iqs; - const int8_t * q8 = bq8_1[ib32].qs; - const uint8_t * signs = bq2->qs + QK_K/8 + 4*ib32; - const uint8_t ls1 = bq2->scales[ib32] & 0xf; - const uint8_t ls2 = bq2->scales[ib32] >> 4; - int sumi1 = 0; - for (int l = 0; l < 2; ++l) { - const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300))); - const uint32_t signs0 = dpct::vectorized_binary( - ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201, - std::equal_to<>()); - const uint32_t signs1 = dpct::vectorized_binary( - ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201, - std::equal_to<>()); - const int grid_l = dpct::vectorized_binary( - grid[0] ^ signs0, signs0, std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid[1] ^ signs1, signs1, std::minus<>()); - sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1); - sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1); - q8 += 8; - } - int sumi2 = 0; - for (int l = 2; l < 4; ++l) { - const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300))); - const uint32_t signs0 = dpct::vectorized_binary( - ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201, - std::equal_to<>()); - const uint32_t signs1 = dpct::vectorized_binary( - ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201, - std::equal_to<>()); - const int grid_l = dpct::vectorized_binary( - grid[0] ^ signs0, signs0, std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid[1] ^ signs1, signs1, std::minus<>()); - sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2); - sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2); - q8 += 8; - } - const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f; - return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2); -} - -static __dpct_inline__ float -vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs, - const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) { -#if DPCT_COMPATIBILITY_TEMP >= \ - MIN_CC_DP4A // lowest compute capability for integer intrinsics - const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq; - - const int ib32 = iqs; - const uint8_t * q3 = bq2->qs + 8*ib32; - const uint16_t * gas = (const uint16_t *)(bq2->qs + QK_K/4) + 2*ib32; - const int8_t * q8 = bq8_1[ib32].qs; - uint32_t aux32 = gas[0] | (gas[1] << 16); - int sumi = 0; - for (int l = 0; l < 4; ++l) { - const uint32_t * grid1 = iq3xxs_grid + q3[2*l+0]; - const uint32_t * grid2 = iq3xxs_grid + q3[2*l+1]; - const uint32_t * signs = (const uint32_t *)(ksigns64 + (aux32 & 127)); - const int grid_l = dpct::vectorized_binary( - grid1[0] ^ signs[0], signs[0], std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid2[0] ^ signs[1], signs[1], std::minus<>()); - sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi); - sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi); - q8 += 8; - aux32 >>= 7; - } - const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.5f; - return d * sumi; -#else - assert(false); - return 0.f; -#endif -} - -static __dpct_inline__ float -vec_dot_iq3_s_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs, - const uint32_t *iq3s_grid) { - const block_iq3_s * bq2 = (const block_iq3_s *) vbq; - - const int ib32 = iqs; - const uint8_t * qs = bq2->qs + 8*ib32; - const int8_t * q8 = bq8_1[ib32].qs; - int sumi = 0; - for (int l = 0; l < 4; ++l) { - const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256)); - const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256)); - uint32_t signs0 = dpct::vectorized_binary( - ((bq2->signs[4 * ib32 + l] & 0xf) * 0x01010101) & 0x08040201, - 0x08040201, std::equal_to<>()); - uint32_t signs1 = dpct::vectorized_binary( - ((bq2->signs[4 * ib32 + l] >> 4) * 0x01010101) & 0x08040201, - 0x08040201, std::equal_to<>()); - const int grid_l = dpct::vectorized_binary( - grid1[0] ^ signs0, signs0, std::minus<>()); - const int grid_h = dpct::vectorized_binary( - grid2[0] ^ signs1, signs1, std::minus<>()); - sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi); - sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi); - q8 += 8; - } - const float d = - (float)bq2->d * - (1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) * - bq8_1[ib32].ds[0]; - return d * sumi; -} - -static __dpct_inline__ float -vec_dot_iq1_s_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs, - const uint32_t *iq1s_grid_gpu) { - const block_iq1_s * bq1 = (const block_iq1_s *) vbq; - - const int ib32 = iqs; - int sumi = 0; - const int * q8 = (const int *)bq8_1[ib32].qs; - for (int l = 0; l < 4; ++l) { - const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[ib32] >> 3*l) & 7) << 8))); - int grid0 = grid[0] & 0x0f0f0f0f; - int grid1 = (grid[0] >> 4) & 0x0f0f0f0f; - sumi = dpct::dp4a(q8[2 * l + 1], grid1, - dpct::dp4a(q8[2 * l + 0], grid0, sumi)); - } - - const float delta = bq1->qh[ib32] & 0x8000 ? -1-IQ1S_DELTA : -1+IQ1S_DELTA; - const float d1q = (float)bq1->d * (2*((bq1->qh[ib32] >> 12) & 7) + 1); - const float d = d1q * bq8_1[ib32].ds[0]; - const float m = d1q * bq8_1[ib32].ds[1]; - return d * sumi + m * delta; -} - -static __dpct_inline__ float -vec_dot_iq1_m_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - const block_iq1_m * bq1 = (const block_iq1_m *) vbq; - - const int ib32 = iqs; - int sumi[2] = {0, 0}; - float sumf[2] = {0.f, 0.f}; - - const int * q8 = (const int *)bq8_1[ib32].qs; - for (int l = 0; l < 4; ++l) { - const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 7) << 8))); - int grid0 = grid[0] & 0x0f0f0f0f; - int grid1 = (grid[0] >> 4) & 0x0f0f0f0f; - sumi[l / 2] = dpct::dp4a(q8[2 * l + 1], grid1, - dpct::dp4a(q8[2 * l + 0], grid0, sumi[l / 2])); - const float delta = (bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 0x08 ? -1-IQ1M_DELTA : -1+IQ1M_DELTA; - const int sumy = dpct::dp4a(q8[2 * l + 1], 0x01010101, - dpct::dp4a(q8[2 * l + 0], 0x01010101, 0)); - sumf[l/2] += delta*sumy; - } - - iq1m_scale_t scale; - const uint16_t * sc = (const uint16_t *)bq1->scales; - scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); - const float d = (float)scale.f16 * bq8_1[ib32].ds[0]; - return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1)); -} - -static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4, - const uint8_t *values, - int &val1, int &val2) { - - uint32_t aux32; const uint8_t * q8 = (const uint8_t *)&aux32; - aux32 = q4 & 0x0f0f0f0f; - uint16_t v1 = values[q8[0]] | (values[q8[1]] << 8); - uint16_t v2 = values[q8[2]] | (values[q8[3]] << 8); - val1 = v1 | (v2 << 16); - aux32 = (q4 >> 4) & 0x0f0f0f0f; - v1 = values[q8[0]] | (values[q8[1]] << 8); - v2 = values[q8[2]] | (values[q8[3]] << 8); - val2 = v1 | (v2 << 16); -} - - -static __dpct_inline__ float -vec_dot_iq4_nl_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_iq4_nl * bq = (const block_iq4_nl *) vbq; - - const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs; - const int32_t * q8 = (const int32_t *)bq8_1->qs + iqs; - - const uint8_t * values = (const uint8_t *)kvalues_iq4nl; - - int v1, v2; - int sumi1 = 0, sumi2 = 0; - for (int l = 0; l < VDR_Q4_0_Q8_1_MMVQ; ++l) { - const uint32_t aux = q4[2*l] | (q4[2*l+1] << 16); - get_int_from_table_16(aux, values, v1, v2); - sumi1 = dpct::dp4a(v1, q8[l + 0], sumi1); - sumi2 = dpct::dp4a(v2, q8[l + 4], sumi2); - } - - const float d = (float)bq->d * bq8_1->ds[0]; - return d * (sumi1 + sumi2); -} - - -static __dpct_inline__ float -vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq, - const block_q8_1 *__restrict__ bq8_1, const int &iqs) { - - const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq; - const uint8_t * values = (const uint8_t *)kvalues_iq4nl; - - // iqs is 0...7 - const int ib32 = iqs; - const int32_t * q8 = (const int *)bq8_1[ib32].qs; - const uint32_t * q4 = (const uint32_t *)bq4->qs + 4*ib32; - const int8_t ls = ((bq4->scales_l[ib32/2] >> 4*(ib32%2)) & 0xf) | (((bq4->scales_h >> 2*ib32) & 3) << 4); - const float d = (float)bq4->d * (ls - 32) * bq8_1[ib32].ds[0]; - int v1, v2; - int sumi1 = 0, sumi2 = 0; - for (int j = 0; j < 4; ++j) { - get_int_from_table_16(q4[j], values, v1, v2); - sumi1 = dpct::dp4a(v1, q8[j + 0], sumi1); - sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2); - } - return d * (sumi1 + sumi2); -} - -template -/* -DPCT1110:8: The total declared local variable size in device function mul_mat_q -exceeds 128 bytes and may cause high register pressure. Consult with your -hardware vendor to find the total register size available and adjust the code, -or use smaller sub-group size to avoid high register pressure. -*/ -static __dpct_inline__ void -mul_mat_q(const void *__restrict__ vx, const void *__restrict__ vy, - float *__restrict__ dst, const int ncols_x, const int nrows_x, - const int ncols_y, const int nrows_y, const int nrows_dst, - int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_qh, - int *tile_x_sc, const sycl::nd_item<3> &item_ct1, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - const int blocks_per_row_x = ncols_x / qk; - const int blocks_per_col_y = nrows_y / QK8_1; - const int blocks_per_warp = WARP_SIZE / qi; - - const int & ncols_dst = ncols_y; - - const int row_dst_0 = item_ct1.get_group(2) * mmq_y; - const int & row_x_0 = row_dst_0; - - const int col_dst_0 = item_ct1.get_group(1) * mmq_x; - const int & col_y_0 = col_dst_0; - - float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}}; - - for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) { - - load_tiles(x + row_x_0 * blocks_per_row_x + ib0, tile_x_ql, tile_x_dm, - tile_x_qh, tile_x_sc, item_ct1.get_local_id(1), - nrows_x - row_x_0 - 1, item_ct1.get_local_id(2), - blocks_per_row_x); - -#pragma unroll - for (int ir = 0; ir < qr; ++ir) { - const int kqs = ir * WARP_SIZE + item_ct1.get_local_id(2); - const int kbxd = kqs / QI8_1; - -#pragma unroll - for (int i = 0; i < mmq_x; i += nwarps) { - const int col_y_eff = dpct::min( - (unsigned int)(col_y_0 + item_ct1.get_local_id(1) + i), - ncols_y - 1); // to prevent out-of-bounds memory accesses - - const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd]; - - const int index_y = (item_ct1.get_local_id(1) + i) * WARP_SIZE + - kqs % WARP_SIZE; - tile_y_qs[index_y] = get_int_from_int8_aligned( - by0->qs, item_ct1.get_local_id(2) % QI8_1); - } - -#pragma unroll - for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) { - const int ids = - (ids0 + item_ct1.get_local_id(1) * QI8_1 + - item_ct1.get_local_id(2) / (WARP_SIZE / QI8_1)) % - mmq_x; - const int kby = item_ct1.get_local_id(2) % (WARP_SIZE / QI8_1); - const int col_y_eff = sycl::min(col_y_0 + ids, ncols_y - 1); - - // if the sum is not needed it's faster to transform the scale to f32 ahead of time - const sycl::half2 *dsi_src = - &y[col_y_eff * blocks_per_col_y + ib0 * (qk / QK8_1) + - ir * (WARP_SIZE / QI8_1) + kby] - .ds; - sycl::half2 *dsi_dst = - &tile_y_ds[ids * (WARP_SIZE / QI8_1) + kby]; - if (need_sum) { - *dsi_dst = *dsi_src; - } else { - float * dfi_dst = (float *) dsi_dst; - *dfi_dst = (*dsi_src)[0]; - } - } - - /* - DPCT1118:9: SYCL group functions and algorithms must be encountered - in converged control flow. You may need to adjust the code. - */ - /* - DPCT1065:56: Consider replacing sycl::nd_item::barrier() with - sycl::nd_item::barrier(sycl::access::fence_space::local_space) for - better performance if there is no access to global memory. - */ - item_ct1.barrier(); - -// #pragma unroll // unrolling this loop causes too much register pressure - for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) { -#pragma unroll - for (int j = 0; j < mmq_x; j += nwarps) { -#pragma unroll - for (int i = 0; i < mmq_y; i += WARP_SIZE) { - sum[i / WARP_SIZE][j / nwarps] += vec_dot( - tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, - tile_y_qs, tile_y_ds, item_ct1.get_local_id(2) + i, - item_ct1.get_local_id(1) + j, k); - } - } - } - - /* - DPCT1118:10: SYCL group functions and algorithms must be encountered - in converged control flow. You may need to adjust the code. - */ - /* - DPCT1065:57: Consider replacing sycl::nd_item::barrier() with - sycl::nd_item::barrier(sycl::access::fence_space::local_space) for - better performance if there is no access to global memory. - */ - item_ct1.barrier(); - } - } - -#pragma unroll - for (int j = 0; j < mmq_x; j += nwarps) { - const int col_dst = col_dst_0 + j + item_ct1.get_local_id(1); - - if (col_dst >= ncols_dst) { - return; - } - -#pragma unroll - for (int i = 0; i < mmq_y; i += WARP_SIZE) { - const int row_dst = row_dst_0 + item_ct1.get_local_id(2) + i; - - if (row_dst >= nrows_dst) { - continue; - } - - dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps]; - } - } -} - -#define MMQ_X_Q4_0_RDNA2 64 -#define MMQ_Y_Q4_0_RDNA2 128 -#define NWARPS_Q4_0_RDNA2 8 -#define MMQ_X_Q4_0_RDNA1 64 -#define MMQ_Y_Q4_0_RDNA1 64 -#define NWARPS_Q4_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_0_AMPERE 4 -#define MMQ_Y_Q4_0_AMPERE 32 -#define NWARPS_Q4_0_AMPERE 4 -#else -#define MMQ_X_Q4_0_AMPERE 64 -#define MMQ_Y_Q4_0_AMPERE 128 -#define NWARPS_Q4_0_AMPERE 4 -#endif -#define MMQ_X_Q4_0_PASCAL 64 -#define MMQ_Y_Q4_0_PASCAL 64 -#define NWARPS_Q4_0_PASCAL 8 - -template static void - mul_mat_q4_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_0, float *tile_x_d_q4_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - - const int mmq_x = MMQ_X_Q4_0_AMPERE; - const int mmq_y = MMQ_Y_Q4_0_AMPERE; - const int nwarps = NWARPS_Q4_0_AMPERE; - allocate_tiles_q4_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q4_0, tile_x_d_q4_0); - mul_mat_q, VDR_Q4_0_Q8_1_MMQ, - vec_dot_q4_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q4_1_RDNA2 64 -#define MMQ_Y_Q4_1_RDNA2 128 -#define NWARPS_Q4_1_RDNA2 8 -#define MMQ_X_Q4_1_RDNA1 64 -#define MMQ_Y_Q4_1_RDNA1 64 -#define NWARPS_Q4_1_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_1_AMPERE 4 -#define MMQ_Y_Q4_1_AMPERE 32 -#define NWARPS_Q4_1_AMPERE 4 -#else -#define MMQ_X_Q4_1_AMPERE 64 -#define MMQ_Y_Q4_1_AMPERE 128 -#define NWARPS_Q4_1_AMPERE 4 -#endif -#define MMQ_X_Q4_1_PASCAL 64 -#define MMQ_Y_Q4_1_PASCAL 64 -#define NWARPS_Q4_1_PASCAL 8 - -template static void - mul_mat_q4_1( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_1, - sycl::half2 *tile_x_dm_q4_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q4_1_AMPERE; - const int mmq_y = MMQ_Y_Q4_1_AMPERE; - const int nwarps = NWARPS_Q4_1_AMPERE; - allocate_tiles_q4_1(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q4_1, tile_x_dm_q4_1); - mul_mat_q, VDR_Q4_1_Q8_1_MMQ, - vec_dot_q4_1_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_0_RDNA2 64 -#define MMQ_Y_Q5_0_RDNA2 128 -#define NWARPS_Q5_0_RDNA2 8 -#define MMQ_X_Q5_0_RDNA1 64 -#define MMQ_Y_Q5_0_RDNA1 64 -#define NWARPS_Q5_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_0_AMPERE 4 -#define MMQ_Y_Q5_0_AMPERE 32 -#define NWARPS_Q5_0_AMPERE 4 -#else -#define MMQ_X_Q5_0_AMPERE 128 -#define MMQ_Y_Q5_0_AMPERE 64 -#define NWARPS_Q5_0_AMPERE 4 -#endif -#define MMQ_X_Q5_0_PASCAL 64 -#define MMQ_Y_Q5_0_PASCAL 64 -#define NWARPS_Q5_0_PASCAL 8 - -template static void - mul_mat_q5_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_0, float *tile_x_d_q5_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_0_AMPERE; - const int mmq_y = MMQ_Y_Q5_0_AMPERE; - const int nwarps = NWARPS_Q5_0_AMPERE; - allocate_tiles_q5_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_0, tile_x_d_q5_0); - mul_mat_q, VDR_Q5_0_Q8_1_MMQ, - vec_dot_q5_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_1_RDNA2 64 -#define MMQ_Y_Q5_1_RDNA2 128 -#define NWARPS_Q5_1_RDNA2 8 -#define MMQ_X_Q5_1_RDNA1 64 -#define MMQ_Y_Q5_1_RDNA1 64 -#define NWARPS_Q5_1_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_1_AMPERE 4 -#define MMQ_Y_Q5_1_AMPERE 32 -#define NWARPS_Q5_1_AMPERE 4 -#else -#define MMQ_X_Q5_1_AMPERE 128 -#define MMQ_Y_Q5_1_AMPERE 64 -#define NWARPS_Q5_1_AMPERE 4 -#endif -#define MMQ_X_Q5_1_PASCAL 64 -#define MMQ_Y_Q5_1_PASCAL 64 -#define NWARPS_Q5_1_PASCAL 8 - -template static void -mul_mat_q5_1( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_1, - sycl::half2 *tile_x_dm_q5_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_1_AMPERE; - const int mmq_y = MMQ_Y_Q5_1_AMPERE; - const int nwarps = NWARPS_Q5_1_AMPERE; - allocate_tiles_q5_1(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_1, tile_x_dm_q5_1); - mul_mat_q, VDR_Q5_1_Q8_1_MMQ, - vec_dot_q5_1_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q8_0_RDNA2 64 -#define MMQ_Y_Q8_0_RDNA2 128 -#define NWARPS_Q8_0_RDNA2 8 -#define MMQ_X_Q8_0_RDNA1 64 -#define MMQ_Y_Q8_0_RDNA1 64 -#define NWARPS_Q8_0_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q8_0_AMPERE 4 -#define MMQ_Y_Q8_0_AMPERE 32 -#define NWARPS_Q8_0_AMPERE 4 -#else -#define MMQ_X_Q8_0_AMPERE 128 -#define MMQ_Y_Q8_0_AMPERE 64 -#define NWARPS_Q8_0_AMPERE 4 -#endif -#define MMQ_X_Q8_0_PASCAL 64 -#define MMQ_Y_Q8_0_PASCAL 64 -#define NWARPS_Q8_0_PASCAL 8 - -template static void - mul_mat_q8_0( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q8_0, float *tile_x_d_q8_0, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q8_0_AMPERE; - const int mmq_y = MMQ_Y_Q8_0_AMPERE; - const int nwarps = NWARPS_Q8_0_AMPERE; - allocate_tiles_q8_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_qs_q8_0, tile_x_d_q8_0); - mul_mat_q, VDR_Q8_0_Q8_1_MMQ, - vec_dot_q8_0_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q2_K_RDNA2 64 -#define MMQ_Y_Q2_K_RDNA2 128 -#define NWARPS_Q2_K_RDNA2 8 -#define MMQ_X_Q2_K_RDNA1 128 -#define MMQ_Y_Q2_K_RDNA1 32 -#define NWARPS_Q2_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q2_K_AMPERE 4 -#define MMQ_Y_Q2_K_AMPERE 32 -#define NWARPS_Q2_K_AMPERE 4 -#else -#define MMQ_X_Q2_K_AMPERE 64 -#define MMQ_Y_Q2_K_AMPERE 128 -#define NWARPS_Q2_K_AMPERE 4 -#endif -#define MMQ_X_Q2_K_PASCAL 64 -#define MMQ_Y_Q2_K_PASCAL 64 -#define NWARPS_Q2_K_PASCAL 8 - -template static void -mul_mat_q2_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q2_K, - sycl::half2 *tile_x_dm_q2_K, int *tile_x_sc_q2_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q2_K_AMPERE; - const int mmq_y = MMQ_Y_Q2_K_AMPERE; - const int nwarps = NWARPS_Q2_K_AMPERE; - allocate_tiles_q2_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q2_K, tile_x_dm_q2_K, tile_x_sc_q2_K); - mul_mat_q, VDR_Q2_K_Q8_1_MMQ, - vec_dot_q2_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q3_K_RDNA2 128 -#define MMQ_Y_Q3_K_RDNA2 64 -#define NWARPS_Q3_K_RDNA2 8 -#define MMQ_X_Q3_K_RDNA1 32 -#define MMQ_Y_Q3_K_RDNA1 128 -#define NWARPS_Q3_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q3_K_AMPERE 4 -#define MMQ_Y_Q3_K_AMPERE 32 -#define NWARPS_Q3_K_AMPERE 4 -#else -#define MMQ_X_Q3_K_AMPERE 128 -#define MMQ_Y_Q3_K_AMPERE 128 -#define NWARPS_Q3_K_AMPERE 4 -#endif -#define MMQ_X_Q3_K_PASCAL 64 -#define MMQ_Y_Q3_K_PASCAL 64 -#define NWARPS_Q3_K_PASCAL 8 - -template static void -mul_mat_q3_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q3_K, - sycl::half2 *tile_x_dm_q3_K, int *tile_x_qh_q3_K, int *tile_x_sc_q3_K, - int *tile_y_qs, sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q3_K_AMPERE; - const int mmq_y = MMQ_Y_Q3_K_AMPERE; - const int nwarps = NWARPS_Q3_K_AMPERE; - allocate_tiles_q3_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q3_K, tile_x_dm_q3_K, tile_x_qh_q3_K, - tile_x_sc_q3_K); - mul_mat_q, VDR_Q3_K_Q8_1_MMQ, - vec_dot_q3_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q4_K_RDNA2 64 -#define MMQ_Y_Q4_K_RDNA2 128 -#define NWARPS_Q4_K_RDNA2 8 -#define MMQ_X_Q4_K_RDNA1 32 -#define MMQ_Y_Q4_K_RDNA1 64 -#define NWARPS_Q4_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q4_K_AMPERE 4 -#define MMQ_Y_Q4_K_AMPERE 32 -#define NWARPS_Q4_K_AMPERE 4 -#else -#define MMQ_X_Q4_K_AMPERE 64 -#define MMQ_Y_Q4_K_AMPERE 128 -#define NWARPS_Q4_K_AMPERE 4 -#endif -#define MMQ_X_Q4_K_PASCAL 64 -#define MMQ_Y_Q4_K_PASCAL 64 -#define NWARPS_Q4_K_PASCAL 8 - -template static void - mul_mat_q4_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q4_K, - sycl::half2 *tile_x_dm_q4_K, int *tile_x_sc_q4_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q4_K_AMPERE; - const int mmq_y = MMQ_Y_Q4_K_AMPERE; - const int nwarps = NWARPS_Q4_K_AMPERE; - allocate_tiles_q4_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q4_K, tile_x_dm_q4_K, tile_x_sc_q4_K); - mul_mat_q, VDR_Q4_K_Q8_1_MMQ, - vec_dot_q4_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q5_K_RDNA2 64 -#define MMQ_Y_Q5_K_RDNA2 128 -#define NWARPS_Q5_K_RDNA2 8 -#define MMQ_X_Q5_K_RDNA1 32 -#define MMQ_Y_Q5_K_RDNA1 64 -#define NWARPS_Q5_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q5_K_AMPERE 4 -#define MMQ_Y_Q5_K_AMPERE 32 -#define NWARPS_Q5_K_AMPERE 4 -#else -#define MMQ_X_Q5_K_AMPERE 64 -#define MMQ_Y_Q5_K_AMPERE 128 -#define NWARPS_Q5_K_AMPERE 4 -#endif -#define MMQ_X_Q5_K_PASCAL 64 -#define MMQ_Y_Q5_K_PASCAL 64 -#define NWARPS_Q5_K_PASCAL 8 - -template static void -mul_mat_q5_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_K, - sycl::half2 *tile_x_dm_q5_K, int *tile_x_sc_q5_K, int *tile_y_qs, - sycl::half2 *tile_y_ds) { - int * tile_x_ql = nullptr; - sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q5_K_AMPERE; - const int mmq_y = MMQ_Y_Q5_K_AMPERE; - const int nwarps = NWARPS_Q5_K_AMPERE; - allocate_tiles_q5_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql_q5_K, tile_x_dm_q5_K, tile_x_sc_q5_K); - mul_mat_q, VDR_Q5_K_Q8_1_MMQ, - vec_dot_q5_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -#define MMQ_X_Q6_K_RDNA2 64 -#define MMQ_Y_Q6_K_RDNA2 128 -#define NWARPS_Q6_K_RDNA2 8 -#define MMQ_X_Q6_K_RDNA1 32 -#define MMQ_Y_Q6_K_RDNA1 64 -#define NWARPS_Q6_K_RDNA1 8 -#if defined(SYCL_USE_XMX) -#define MMQ_X_Q6_K_AMPERE 4 -#define MMQ_Y_Q6_K_AMPERE 32 -#define NWARPS_Q6_K_AMPERE 4 -#else -#define MMQ_X_Q6_K_AMPERE 64 -#define MMQ_Y_Q6_K_AMPERE 64 -#define NWARPS_Q6_K_AMPERE 4 -#endif -#define MMQ_X_Q6_K_PASCAL 64 -#define MMQ_Y_Q6_K_PASCAL 64 -#define NWARPS_Q6_K_PASCAL 8 - -template static void - mul_mat_q6_K( - const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, - const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, - const sycl::nd_item<3> &item_ct1, int *tile_x_ql, sycl::half2 *tile_x_dm, - int *tile_x_sc, int *tile_y_qs, sycl::half2 *tile_y_ds) { - // int * tile_x_ql = nullptr; - // sycl::half2 *tile_x_dm = nullptr; - int * tile_x_qh = nullptr; - // int * tile_x_sc = nullptr; - -//sycl_todo: change according to hardware - const int mmq_x = MMQ_X_Q6_K_AMPERE; - const int mmq_y = MMQ_Y_Q6_K_AMPERE; - const int nwarps = NWARPS_Q6_K_AMPERE; - allocate_tiles_q6_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, - tile_x_ql, tile_x_dm, tile_x_sc); - mul_mat_q, VDR_Q6_K_Q8_1_MMQ, - vec_dot_q6_K_q8_1_mul_mat>( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, - tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); -} - -template -static void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - - const int qi_vdr = (qi / vdr); // N_threads processing 1 qk block - - // partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / qi_vdr; i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row * blocks_per_row + i; // x block index - - const int iby = i * (qk / QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) - - i * qi_vdr); // x block quant index when casting the quants to int - - tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq2_xxs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_xxs_q8_1(&x[ibx], &y[iby], iqs, iq2xxs_grid, ksigns_iq2xs, kmask_iq2xs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq2_xs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_xs_q8_1(&x[ibx], &y[iby], iqs, iq2xs_grid, ksigns64); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq2_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq2_s_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq3_xxs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq3_xxs_q8_1(&x[ibx], &y[iby], iqs, iq3xxs_grid, ksigns64); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq3_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq1_s_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_gpu); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq1_m_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq1_m_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - -template -static void mul_mat_vec_q_iq4_nl_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq4_nl_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - - -template -static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx, - const void *__restrict__ vy, - float *__restrict__ dst, const int ncols, - const int nrows, - const sycl::nd_item<3> &item_ct1) { - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int blocks_per_row = ncols / qk; - const int blocks_per_warp = vdr * WARP_SIZE / qi; - -// partial sum for each thread - float tmp = 0.0f; - - const block_q_t * x = (const block_q_t *) vx; - const block_q8_1 * y = (const block_q8_1 *) vy; - - for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; - i += blocks_per_warp) { - const int ibx = row*blocks_per_row + i; // x block index - - const int iby = i * (qk/QK8_1); // y block index that aligns with ibx - - const int iqs = - vdr * - (item_ct1.get_local_id(2) % - (qi / vdr)); // x block quant index when casting the quants to int - - tmp += vec_dot_iq4_xs_q8_1(&x[ibx], &y[iby], iqs); - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (item_ct1.get_local_id(2) == 0) { - dst[row] = tmp; - } -} - - -template -static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows, - const sycl::nd_item<3> &item_ct1) { - // qk = quantized weights per x block - // qr = number of quantized weights per data value in x block - const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + - item_ct1.get_local_id(1); - - if (row >= nrows) { - return; - } - - const int tid = item_ct1.get_local_id(2); - - const int iter_stride = 2*GGML_SYCL_DMMV_X; - const int vals_per_iter = iter_stride / WARP_SIZE; // num quantized vals per thread and i iter - const int y_offset = qr == 1 ? 1 : qk/2; - -// partial sum for each thread -#ifdef GGML_SYCL_F16 - sycl::half2 tmp = {0.0f, 0.0f}; // two sums for f16 to take advantage of half2 intrinsics -#else - float tmp = 0.0f; -#endif // GGML_SYCL_F16 - - for (int i = 0; i < ncols; i += iter_stride) { - const int col = i + vals_per_iter*tid; - const int ib = (row*ncols + col)/qk; // x block index - const int iqs = (col%qk)/qr; // x quant index - const int iybs = col - col%qk; // y block start index - -// processing >2 values per i iter is faster for fast GPUs -#pragma unroll - for (int j = 0; j < vals_per_iter; j += 2) { - // process 2 vals per j iter - - // dequantize - // for qr = 2 the iqs needs to increase by 1 per j iter because 2 weights per data val - dfloat2 v; - dequantize_kernel(vx, ib, iqs + j/qr, v); - - // matrix multiplication - // for qr = 2 the y index needs to increase by 1 per j iter because of y_offset = qk/2 -#ifdef GGML_SYCL_F16 - dfloat2 t1{y[iybs + iqs + j / qr + 0], - y[iybs + iqs + j / qr + y_offset]}; - - tmp += v * t1; -#else - tmp += v.x() * y[iybs + iqs + j / qr + 0]; - tmp += v.y() * y[iybs + iqs + j / qr + y_offset]; -#endif // GGML_SYCL_F16 - } - } - - // sum up partial sums and write back result -#pragma unroll - for (int mask = 16; mask > 0; mask >>= 1) { - tmp += - dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); - } - - if (tid == 0) { -#ifdef GGML_SYCL_F16 - dst[row] = tmp.x() + tmp.y(); -#else - dst[row] = tmp; -#endif // GGML_SYCL_F16 - } -} - static void mul_mat_p021_f16_f32( const void * __restrict__ vx, const float * __restrict__ y, float * __restrict__ dst, const int ncols_x, const int nrows_x, const int nchannels_x, const int nchannels_y, @@ -6219,8 +1770,7 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols, }); }); } else { - // FIXME: 1024 from cuda - const int work_group_size = GROUP_SIZE; + const int work_group_size = get_work_group_size(stream->get_device()); const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:17: The work-group size passed to the SYCL kernel may exceed @@ -6266,7 +1816,7 @@ static void group_norm_f32_sycl(const float *x, float *dst, }); }); } else { - const int work_group_size = GROUP_SIZE; + const int work_group_size = get_work_group_size(stream->get_device()); const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:18: The work-group size passed to the SYCL kernel may exceed @@ -6355,7 +1905,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols, }); }); } else { - const int work_group_size = GROUP_SIZE; + const int work_group_size = get_work_group_size(stream->get_device()); const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:19: The work-group size passed to the SYCL kernel may exceed @@ -6396,2298 +1946,6 @@ static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx, } } -template -static void dequantize_block_sycl(const void *__restrict__ vx, - dst_t *__restrict__ y, const int k, - queue_ptr stream) { - const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - stream->parallel_for( - sycl::nd_range<3>( - sycl::range<3>(1, 1, num_blocks) * - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block(vx, y, k, item_ct1); - }); - } -} - -template -static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q2_K(vx, y, item_ct1); - }); - } -} - -template -static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q3_K(vx, y, item_ct1); - }); - } -} - -template -static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb32 = k / 32; - const int nb = (k + 255) / 256; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_0(vx, y, nb32, item_ct1); - }); - } -} - -template -static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb32 = k / 32; - const int nb = (k + 255) / 256; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_1(vx, y, nb32, item_ct1); - }); - } -} - - -template -static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q4_K(vx, y, item_ct1); - }); - } -} - -template -static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q5_K(vx, y, item_ct1); - }); - } -} - -template -static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 64), - sycl::range<3>(1, 1, 64)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_q6_K(vx, y, item_ct1); - }); - } -} - -template -static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq1_s( - vx, y, item_ct1, iq1s_grid_gpu - ); - }); - }); - } -} - -template -static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq1_m( - vx, y, item_ct1, iq1s_grid_gpu - ); - }); - }); - } -} - -template -static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_xxs( - vx, y, item_ct1, iq2xxs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template -static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_xs( - vx, y, item_ct1, iq2xs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template -static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq2_s(vx, y, item_ct1); - }); - }); - } -} - - -template -static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq3_xxs( - vx, y, item_ct1, iq3xxs_grid, - ksigns_iq2xs, kmask_iq2xs); - }); - }); - } -} - -template -static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = k / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq3_s( - vx, y, item_ct1, kmask_iq2xs, iq3s_grid); - }); - }); - } -} - -template -static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = (k + QK_K - 1) / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq4_xs(vx, y, item_ct1); - }); - }); - } -} - - -template -static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k, - queue_ptr stream) { - const int nb = (k + QK_K - 1) / QK_K; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * - sycl::range<3>(1, 1, 32), - sycl::range<3>(1, 1, 32)), - [=](sycl::nd_item<3> item_ct1) { - dequantize_block_iq4_nl(vx, y, item_ct1); - }); - }); - } -} - - - -template -static void convert_unary_sycl(const void *__restrict__ vx, - dst_t *__restrict__ y, const int k, - queue_ptr stream) { - const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE; - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>( - sycl::range<3>(1, 1, num_blocks) * - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), - sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), - [=](sycl::nd_item<3> item_ct1) { - convert_unary(vx, y, k, item_ct1); - }); - } -} - - -static to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) try { - int id; - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_block_sycl; - case GGML_TYPE_Q4_1: - return dequantize_block_sycl; - case GGML_TYPE_Q5_0: - return dequantize_block_sycl; - case GGML_TYPE_Q5_1: - return dequantize_block_sycl; - case GGML_TYPE_Q8_0: - return dequantize_block_sycl; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_sycl; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_sycl; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_sycl; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_sycl; - case GGML_TYPE_IQ1_S: - return dequantize_row_iq1_s_sycl; - case GGML_TYPE_IQ1_M: - return dequantize_row_iq1_m_sycl; - case GGML_TYPE_IQ2_XXS: - return dequantize_row_iq2_xxs_sycl; - case GGML_TYPE_IQ2_XS: - return dequantize_row_iq2_xs_sycl; - case GGML_TYPE_IQ2_S: - return dequantize_row_iq2_s_sycl; - case GGML_TYPE_IQ3_XXS: - return dequantize_row_iq3_xxs_sycl; - case GGML_TYPE_IQ3_S: - return dequantize_row_iq3_s_sycl; - case GGML_TYPE_IQ4_XS: - return dequantize_row_iq4_xs_sycl; - case GGML_TYPE_IQ4_NL: - return dequantize_row_iq4_nl_sycl; - case GGML_TYPE_F32: - return convert_unary_sycl; - default: - return nullptr; - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) { - switch (type) { - case GGML_TYPE_Q4_0: - return dequantize_row_q4_0_sycl; - case GGML_TYPE_Q4_1: - return dequantize_row_q4_1_sycl; - case GGML_TYPE_Q5_0: - return dequantize_block_sycl; - case GGML_TYPE_Q5_1: - return dequantize_block_sycl; - case GGML_TYPE_Q8_0: - return dequantize_block_sycl; - case GGML_TYPE_Q2_K: - return dequantize_row_q2_K_sycl; - case GGML_TYPE_Q3_K: - return dequantize_row_q3_K_sycl; - case GGML_TYPE_Q4_K: - return dequantize_row_q4_K_sycl; - case GGML_TYPE_Q5_K: - return dequantize_row_q5_K_sycl; - case GGML_TYPE_Q6_K: - return dequantize_row_q6_K_sycl; - case GGML_TYPE_IQ1_S: - return dequantize_row_iq1_s_sycl; - case GGML_TYPE_IQ1_M: - return dequantize_row_iq1_m_sycl; - case GGML_TYPE_IQ2_XXS: - return dequantize_row_iq2_xxs_sycl; - case GGML_TYPE_IQ2_XS: - return dequantize_row_iq2_xs_sycl; - case GGML_TYPE_IQ2_S: - return dequantize_row_iq2_s_sycl; - case GGML_TYPE_IQ3_XXS: - return dequantize_row_iq3_xxs_sycl; - case GGML_TYPE_IQ3_S: - return dequantize_row_iq3_s_sycl; - case GGML_TYPE_IQ4_XS: - return dequantize_row_iq4_xs_sycl; - case GGML_TYPE_IQ4_NL: - return dequantize_row_iq4_nl_sycl; - case GGML_TYPE_F16: - return convert_unary_sycl; - default: - return nullptr; - } -} - -static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec( - vx, y, dst, ncols, nrows, item_ct1); - }); - } -} - -static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2 - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q2_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q3_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q4_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const sycl::range<3> block_dims(1, 1, 32); - stream->parallel_for( - sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q5_k(vx, y, dst, ncols, item_ct1); - }); -} - -static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int ny = 2 / K_QUANTS_PER_ITERATION; - const int block_num_y = (nrows + ny - 1) / ny; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, ny, 32); - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec_q6_k(vx, y, dst, ncols, nrows, item_ct1); - }); -} - -static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { - dequantize_mul_mat_vec<1, 1, convert_f16>(vx, y, dst, ncols, - nrows, item_ct1); - }); - } -} - - -static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK4_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK4_1 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK5_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK5_1 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK8_0 == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - - -static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_xxs_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_xs_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq2_s_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq3xxs_grid_ptr_ct1 = &iq3xxs_grid[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq3_xxs_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq3s_grid_ptr_ct1 = &iq3s_grid[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq3_s_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - auto iq1s_grid_ptr_ct1 = &iq1s_grid_gpu[0]; - auto ksigns64_ptr_ct1 = &ksigns64[0]; - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq1_s_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq1_m_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK4_NL == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq4_nl_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols, - const int nrows, - queue_ptr stream) { - GGML_ASSERT(ncols % QK_K == 0); - const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; - const sycl::range<3> block_nums(1, 1, block_num_y); - const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); - { - - stream->submit([&](sycl::handler &cgh) { - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) - [[intel::reqd_sub_group_size(32)]] { - mul_mat_vec_q_iq4_xs_q8_1( - vx, vy, dst, ncols, nrows, item_ct1); - }); - }); - } -} - -static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_0_RDNA2; - mmq_y = MMQ_Y_Q4_0_RDNA2; - nwarps = NWARPS_Q4_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_0_RDNA1; - mmq_y = MMQ_Y_Q4_0_RDNA1; - nwarps = NWARPS_Q4_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_0_AMPERE; - mmq_y = MMQ_Y_Q4_0_AMPERE; - nwarps = NWARPS_Q4_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_0_PASCAL; - mmq_y = MMQ_Y_Q4_0_PASCAL; - nwarps = NWARPS_Q4_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:20: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_0_acc_ct1.get_pointer(), - tile_x_d_q4_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:21: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q4_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_0_acc_ct1.get_pointer(), - tile_x_d_q4_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_1_RDNA2; - mmq_y = MMQ_Y_Q4_1_RDNA2; - nwarps = NWARPS_Q4_1_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_1_RDNA1; - mmq_y = MMQ_Y_Q4_1_RDNA1; - nwarps = NWARPS_Q4_1_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_1_AMPERE; - mmq_y = MMQ_Y_Q4_1_AMPERE; - nwarps = NWARPS_Q4_1_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_1_PASCAL; - mmq_y = MMQ_Y_Q4_1_PASCAL; - nwarps = NWARPS_Q4_1_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:22: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); - sycl::local_accessor tile_x_dm_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_1( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_1_acc_ct1.get_pointer(), - tile_x_dm_q4_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:23: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); - sycl::local_accessor tile_x_dm_q4_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_1( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q4_1_acc_ct1.get_pointer(), - tile_x_dm_q4_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_0_RDNA2; - mmq_y = MMQ_Y_Q5_0_RDNA2; - nwarps = NWARPS_Q5_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_0_RDNA1; - mmq_y = MMQ_Y_Q5_0_RDNA1; - nwarps = NWARPS_Q5_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_0_AMPERE; - mmq_y = MMQ_Y_Q5_0_AMPERE; - nwarps = NWARPS_Q5_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_0_PASCAL; - mmq_y = MMQ_Y_Q5_0_PASCAL; - nwarps = NWARPS_Q5_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:24: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_0_acc_ct1.get_pointer(), - tile_x_d_q5_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:25: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q5_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_0_acc_ct1.get_pointer(), - tile_x_d_q5_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_1_RDNA2; - mmq_y = MMQ_Y_Q5_1_RDNA2; - nwarps = NWARPS_Q5_1_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_1_RDNA1; - mmq_y = MMQ_Y_Q5_1_RDNA1; - nwarps = NWARPS_Q5_1_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_1_AMPERE; - mmq_y = MMQ_Y_Q5_1_AMPERE; - nwarps = NWARPS_Q5_1_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_1_PASCAL; - mmq_y = MMQ_Y_Q5_1_PASCAL; - nwarps = NWARPS_Q5_1_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:26: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_1( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_1_acc_ct1.get_pointer(), - tile_x_dm_q5_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:27: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q5_1_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_1( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_1_acc_ct1.get_pointer(), - tile_x_dm_q5_1_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q8_0_RDNA2; - mmq_y = MMQ_Y_Q8_0_RDNA2; - nwarps = NWARPS_Q8_0_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q8_0_RDNA1; - mmq_y = MMQ_Y_Q8_0_RDNA1; - nwarps = NWARPS_Q8_0_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q8_0_AMPERE; - mmq_y = MMQ_Y_Q8_0_AMPERE; - nwarps = NWARPS_Q8_0_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q8_0_PASCAL; - mmq_y = MMQ_Y_Q8_0_PASCAL; - nwarps = NWARPS_Q8_0_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:28: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q8_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q8_0_acc_ct1.get_pointer(), - tile_x_d_q8_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:29: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_qs_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_d_q8_0_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), - cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q8_0( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_qs_q8_0_acc_ct1.get_pointer(), - tile_x_d_q8_0_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q2_K_RDNA2; - mmq_y = MMQ_Y_Q2_K_RDNA2; - nwarps = NWARPS_Q2_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q2_K_RDNA1; - mmq_y = MMQ_Y_Q2_K_RDNA1; - nwarps = NWARPS_Q2_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q2_K_AMPERE; - mmq_y = MMQ_Y_Q2_K_AMPERE; - nwarps = NWARPS_Q2_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q2_K_PASCAL; - mmq_y = MMQ_Y_Q2_K_PASCAL; - nwarps = NWARPS_Q2_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:30: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), - cgh); - sycl::local_accessor tile_x_sc_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q2_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q2_K_acc_ct1.get_pointer(), - tile_x_dm_q2_K_acc_ct1.get_pointer(), - tile_x_sc_q2_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:31: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), - cgh); - sycl::local_accessor tile_x_sc_q2_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q2_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q2_K_acc_ct1.get_pointer(), - tile_x_dm_q2_K_acc_ct1.get_pointer(), - tile_x_sc_q2_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q3_K_RDNA2; - mmq_y = MMQ_Y_Q3_K_RDNA2; - nwarps = NWARPS_Q3_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q3_K_RDNA1; - mmq_y = MMQ_Y_Q3_K_RDNA1; - nwarps = NWARPS_Q3_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q3_K_AMPERE; - mmq_y = MMQ_Y_Q3_K_AMPERE; - nwarps = NWARPS_Q3_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q3_K_PASCAL; - mmq_y = MMQ_Y_Q3_K_PASCAL; - nwarps = NWARPS_Q3_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:32: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), - cgh); - sycl::local_accessor tile_x_qh_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); - sycl::local_accessor tile_x_sc_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q3_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q3_K_acc_ct1.get_pointer(), - tile_x_dm_q3_K_acc_ct1.get_pointer(), - tile_x_qh_q3_K_acc_ct1.get_pointer(), - tile_x_sc_q3_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:33: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), - cgh); - sycl::local_accessor tile_x_qh_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); - sycl::local_accessor tile_x_sc_q3_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q3_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q3_K_acc_ct1.get_pointer(), - tile_x_dm_q3_K_acc_ct1.get_pointer(), - tile_x_qh_q3_K_acc_ct1.get_pointer(), - tile_x_sc_q3_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q4_K_RDNA2; - mmq_y = MMQ_Y_Q4_K_RDNA2; - nwarps = NWARPS_Q4_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q4_K_RDNA1; - mmq_y = MMQ_Y_Q4_K_RDNA1; - nwarps = NWARPS_Q4_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q4_K_AMPERE; - mmq_y = MMQ_Y_Q4_K_AMPERE; - nwarps = NWARPS_Q4_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q4_K_PASCAL; - mmq_y = MMQ_Y_Q4_K_PASCAL; - nwarps = NWARPS_Q4_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:34: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), - cgh); - sycl::local_accessor tile_x_sc_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q4_K_acc_ct1.get_pointer(), - tile_x_dm_q4_K_acc_ct1.get_pointer(), - tile_x_sc_q4_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:35: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), - cgh); - sycl::local_accessor tile_x_sc_q4_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q4_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q4_K_acc_ct1.get_pointer(), - tile_x_dm_q4_K_acc_ct1.get_pointer(), - tile_x_sc_q4_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q5_K_RDNA2; - mmq_y = MMQ_Y_Q5_K_RDNA2; - nwarps = NWARPS_Q5_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q5_K_RDNA1; - mmq_y = MMQ_Y_Q5_K_RDNA1; - nwarps = NWARPS_Q5_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q5_K_AMPERE; - mmq_y = MMQ_Y_Q5_K_AMPERE; - nwarps = NWARPS_Q5_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q5_K_PASCAL; - mmq_y = MMQ_Y_Q5_K_PASCAL; - nwarps = NWARPS_Q5_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:36: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), - cgh); - sycl::local_accessor tile_x_sc_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_K_acc_ct1.get_pointer(), - tile_x_dm_q5_K_acc_ct1.get_pointer(), - tile_x_sc_q5_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:37: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), - cgh); - sycl::local_accessor tile_x_sc_q5_K_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q5_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_q5_K_acc_ct1.get_pointer(), - tile_x_dm_q5_K_acc_ct1.get_pointer(), - tile_x_sc_q5_K_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy, - float *dst, const int ncols_x, - const int nrows_x, const int ncols_y, - const int nrows_y, const int nrows_dst, - queue_ptr stream) try { - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = ggml_sycl_info().devices[id].cc; - - int mmq_x, mmq_y, nwarps; - if (compute_capability >= VER_GEN13) { - mmq_x = MMQ_X_Q6_K_RDNA2; - mmq_y = MMQ_Y_Q6_K_RDNA2; - nwarps = NWARPS_Q6_K_RDNA2; - } else if (compute_capability >= VER_GEN12) { - mmq_x = MMQ_X_Q6_K_RDNA1; - mmq_y = MMQ_Y_Q6_K_RDNA1; - nwarps = NWARPS_Q6_K_RDNA1; - } else if (compute_capability >= VER_GEN9) { - mmq_x = MMQ_X_Q6_K_AMPERE; - mmq_y = MMQ_Y_Q6_K_AMPERE; - nwarps = NWARPS_Q6_K_AMPERE; - } else if (compute_capability >= VER_4VEC) { - mmq_x = MMQ_X_Q6_K_PASCAL; - mmq_y = MMQ_Y_Q6_K_PASCAL; - nwarps = NWARPS_Q6_K_PASCAL; - } else { - GGML_ASSERT(false); - } - - const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; - const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; - const sycl::range<3> block_nums(1, block_num_y, block_num_x); - const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); - - if (nrows_x % mmq_y == 0) { - const bool need_check = false; - /* - DPCT1049:38: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), - cgh); - sycl::local_accessor tile_x_sc_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q6_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_acc_ct1.get_pointer(), - tile_x_dm_acc_ct1.get_pointer(), - tile_x_sc_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } else { - const bool need_check = true; - /* - DPCT1049:39: The work-group size passed to the SYCL kernel may exceed - the limit. To get the device limit, query - info::device::max_work_group_size. Adjust the work-group size if needed. - */ - { - dpct::has_capability_or_fail(stream->get_device(), - {sycl::aspect::fp16}); - - stream->submit([&](sycl::handler &cgh) { - sycl::local_accessor tile_x_ql_acc_ct1( - sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); - sycl::local_accessor tile_x_dm_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), - cgh); - sycl::local_accessor tile_x_sc_acc_ct1( - sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); - sycl::local_accessor tile_y_qs_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE), cgh); - sycl::local_accessor tile_y_ds_acc_ct1( - sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); - - cgh.parallel_for( - sycl::nd_range<3>(block_nums * block_dims, block_dims), - [=](sycl::nd_item<3> item_ct1) { - mul_mat_q6_K( - vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, - nrows_dst, item_ct1, - tile_x_ql_acc_ct1.get_pointer(), - tile_x_dm_acc_ct1.get_pointer(), - tile_x_sc_acc_ct1.get_pointer(), - tile_y_qs_acc_ct1.get_pointer(), - tile_y_ds_acc_ct1.get_pointer()); - }); - }); - } - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y, float *dst, const int ncols_x, const int nrows_x, @@ -9187,7 +2445,7 @@ static void soft_max_f32_sycl(const float * x, const float * mask, const int nrows_y, const float scale, const float max_bias, queue_ptr stream) { int nth = WARP_SIZE; - int max_block_size = GROUP_SIZE; + int max_block_size = get_work_group_size(stream->get_device()); while (nth < ncols_x && nth < max_block_size) nth *= 2; if (nth>max_block_size) nth = max_block_size; @@ -9339,7 +2597,7 @@ void ggml_backend_sycl_print_sycl_devices() { } } -int get_sycl_env(const char *env_name, int default_val) { +static inline int get_sycl_env(const char *env_name, int default_val) { char *user_device_string = getenv(env_name); int user_number = default_val; @@ -9353,10 +2611,9 @@ int get_sycl_env(const char *env_name, int default_val) { return user_number; } -int get_work_group_size(int user_device_id) { +static inline int get_work_group_size(const sycl::device& device) { dpct::device_info prop; - dpct::get_device_info(prop, - dpct::dev_mgr::instance().get_device(user_device_id)); + dpct::get_device_info(prop, device); return prop.get_max_work_group_size(); } @@ -10042,76 +3299,6 @@ inline void ggml_sycl_op_rms_norm(ggml_backend_sycl_context & ctx, const ggml_te (void) src1_dd; } -inline void ggml_sycl_op_mul_mat_q( - ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const queue_ptr &stream) try { - - const int64_t ne00 = src0->ne[0]; - - const int64_t ne10 = src1->ne[0]; - GGML_ASSERT(ne10 % QK8_1 == 0); - - const int64_t ne0 = dst->ne[0]; - - const int64_t row_diff = row_high - row_low; - - int device_id; - SYCL_CHECK( - CHECK_TRY_ERROR(device_id = get_current_device_id())); - - // the main device has a larger memory buffer to hold the results from all GPUs - // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into - const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff; - - switch (src0->type) { - case GGML_TYPE_Q4_0: - ggml_mul_mat_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q4_1: - ggml_mul_mat_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_0: - ggml_mul_mat_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_1: - ggml_mul_mat_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q8_0: - ggml_mul_mat_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q2_K: - ggml_mul_mat_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q3_K: - ggml_mul_mat_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q4_K: - ggml_mul_mat_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q5_K: - ggml_mul_mat_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - case GGML_TYPE_Q6_K: - ggml_mul_mat_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); - break; - default: - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddf_i; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - static int64_t get_row_rounding(ggml_type type, const std::array & tensor_split) { int64_t min_compute_capability = INT_MAX; int64_t max_compute_capability = INT_MIN; @@ -10160,179 +3347,6 @@ static int64_t get_row_rounding(ggml_type type, const std::arrayne[0]; - GGML_ASSERT(ne10 % QK8_1 == 0); - - const int64_t ne00 = src0->ne[0]; - const int64_t row_diff = row_high - row_low; - - int id; - SYCL_CHECK( - CHECK_TRY_ERROR(id = get_current_device_id())); - - // the main device has a larger memory buffer to hold the results from all GPUs - // nrows_dst == nrows of the matrix that the kernel writes into - const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff; - - switch (src0->type) { - case GGML_TYPE_Q4_0: - mul_mat_vec_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_1: - mul_mat_vec_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_0: - mul_mat_vec_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_1: - mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q8_0: - mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q2_K: - mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q3_K: - mul_mat_vec_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_K: - mul_mat_vec_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_K: - mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q6_K: - mul_mat_vec_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ1_S: - mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ1_M: - mul_mat_vec_iq1_m_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_XXS: - mul_mat_vec_iq2_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_XS: - mul_mat_vec_iq2_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ2_S: - mul_mat_vec_iq2_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ3_XXS: - mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ3_S: - mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ4_NL: - mul_mat_vec_iq4_nl_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_IQ4_XS: - mul_mat_vec_iq4_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); - break; - default: - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddf_i; - (void) src1_ncols; - (void) src1_padded_row_size; -} - - -inline void ggml_sycl_op_dequantize_mul_mat_vec( - ggml_backend_sycl_context & ctx, - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, - const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, - float *dst_dd_i, const int64_t row_low, const int64_t row_high, - const int64_t src1_ncols, const int64_t src1_padded_row_size, - const queue_ptr &stream) { - - const int64_t ne00 = src0->ne[0]; - const int64_t row_diff = row_high - row_low; - - GGML_ASSERT(src1->type == GGML_TYPE_F32); - - // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics -#ifdef GGML_SYCL_F16 - ggml_sycl_pool_alloc src1_dfloat_a(ctx.pool()); - sycl::half *src1_dfloat = nullptr; // dfloat == half - - bool src1_convert_f16 = - src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 || - src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 || - src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16; - - if (src1_convert_f16) { - src1_dfloat = src1_dfloat_a.alloc(ne00); - const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); - GGML_ASSERT(to_fp16_sycl != nullptr); - to_fp16_sycl(src1_ddf_i, src1_dfloat, ne00, stream); - } -#else - const dfloat * src1_dfloat = (const dfloat *) src1_ddf_i; // dfloat == float, no conversion -#endif // GGML_SYCL_F16 - - switch (src0->type) { - case GGML_TYPE_Q4_0: - dequantize_mul_mat_vec_q4_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_1: - dequantize_mul_mat_vec_q4_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_0: - dequantize_mul_mat_vec_q5_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_1: - dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q8_0: - dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q2_K: - dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q3_K: - dequantize_mul_mat_vec_q3_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q4_K: - dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q5_K: - dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_Q6_K: - dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); - break; - case GGML_TYPE_F16: - convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); - break; - default: - printf("ggml_sycl_op_dequantize_mul_mat_vec unsupported GGML_TYPE %d\n", src0->type); - GGML_ASSERT(false); - break; - } - - (void) src1; - (void) dst; - (void) src1_ddq_i; - (void) src1_ncols; - (void) src1_padded_row_size; -} - inline void ggml_sycl_op_mul_mat_sycl( ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, diff --git a/ggml-sycl/backend.hpp b/ggml-sycl/backend.hpp index 88bae5967..2d37e271f 100644 --- a/ggml-sycl/backend.hpp +++ b/ggml-sycl/backend.hpp @@ -14,5 +14,10 @@ #define GGML_SYCL_BACKEND_HPP #include "common.hpp" +#include "convert.hpp" +#include "dequantize.hpp" +#include "dmmv.hpp" +#include "mmq.hpp" +#include "mmvq.hpp" #endif // GGML_SYCL_BACKEND_HPP diff --git a/ggml-sycl/convert.cpp b/ggml-sycl/convert.cpp new file mode 100644 index 000000000..ce9de2b42 --- /dev/null +++ b/ggml-sycl/convert.cpp @@ -0,0 +1,544 @@ +#include "convert.hpp" +#include "dequantize.hpp" +#include "presets.hpp" + +template +static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, + const sycl::nd_item<3> &item_ct1) { + const int i = 2 * (item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2)); + + if (i >= k) { + return; + } + + const int ib = i/qk; // block index + const int iqs = (i%qk)/qr; // quant index + const int iybs = i - i%qk; // y block start index + const int y_offset = qr == 1 ? 1 : qk/2; + + // dequantize + dfloat2 v; + dequantize_kernel(vx, ib, iqs, v); + + y[iybs + iqs + 0] = v.x(); + y[iybs + iqs + y_offset] = v.y(); +} + +template +static void dequantize_block_sycl(const void *__restrict__ vx, + dst_t *__restrict__ y, const int k, + dpct::queue_ptr stream) { + const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + stream->parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block(vx, y, k, item_ct1); + }); + } +} + +template +static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; +#if QK_K == 256 + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 64), + sycl::range<3>(1, 1, 64)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q2_K(vx, y, item_ct1); + }); + } +#else + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q2_K(vx, y, item_ct1); + }); + } + +#endif +} + +template +static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; +#if QK_K == 256 + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 64), + sycl::range<3>(1, 1, 64)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q3_K(vx, y, item_ct1); + }); + } +#else + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q3_K(vx, y, item_ct1); + }); + } +#endif +} + +template +static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb32 = k / 32; + const int nb = (k + 255) / 256; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q4_0(vx, y, nb32, item_ct1); + }); + } +} + +template +static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb32 = k / 32; + const int nb = (k + 255) / 256; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q4_1(vx, y, nb32, item_ct1); + }); + } +} + + +template +static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q4_K(vx, y, item_ct1); + }); + } +} + +template +static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; +#if QK_K == 256 + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 64), + sycl::range<3>(1, 1, 64)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q5_K(vx, y, item_ct1); + }); + } +#else + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q5_K(vx, y, item_ct1); + }); + } + +#endif +} + +template +static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; +#if QK_K == 256 + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 64), + sycl::range<3>(1, 1, 64)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q6_K(vx, y, item_ct1); + }); + } +#else + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_q6_K(vx, y, item_ct1); + }); + } + +#endif +} + +template +static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq1_s( + vx, y, item_ct1, iq1s_grid_gpu + ); + }); + }); + } +} + +template +static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq1_m( + vx, y, item_ct1, iq1s_grid_gpu + ); + }); + }); + } +} + +template +static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq2_xxs( + vx, y, item_ct1, iq2xxs_grid, + ksigns_iq2xs, kmask_iq2xs); + }); + }); + } +} + +template +static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq2_xs( + vx, y, item_ct1, iq2xs_grid, + ksigns_iq2xs, kmask_iq2xs); + }); + }); + } +} + +template +static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq2_s(vx, y, item_ct1); + }); + }); + } +} + + +template +static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq3_xxs( + vx, y, item_ct1, iq3xxs_grid, + ksigns_iq2xs, kmask_iq2xs); + }); + }); + } +} + +template +static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = k / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq3_s( + vx, y, item_ct1, kmask_iq2xs, iq3s_grid); + }); + }); + } +} + +template +static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = (k + QK_K - 1) / QK_K; +#if QK_K == 64 + dequantize_row_iq4_nl_sycl(vx, y, k, stream); +#else + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq4_xs(vx, y, item_ct1); + }); + }); + } +#endif +} + +template +static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k, + dpct::queue_ptr stream) { + const int nb = (k + QK_K - 1) / QK_K; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * + sycl::range<3>(1, 1, 32), + sycl::range<3>(1, 1, 32)), + [=](sycl::nd_item<3> item_ct1) { + dequantize_block_iq4_nl(vx, y, item_ct1); + }); + }); + } +} + +template +static void convert_unary(const void * __restrict__ vx, dst_t * __restrict__ y, const int k, + const sycl::nd_item<3> &item_ct1) { + const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) + + item_ct1.get_local_id(2); + + if (i >= k) { + return; + } + + const src_t * x = (src_t *) vx; + + y[i] = x[i]; +} + +template +static void convert_unary_sycl(const void *__restrict__ vx, + dst_t *__restrict__ y, const int k, + dpct::queue_ptr stream) { + const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE; + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>( + sycl::range<3>(1, 1, num_blocks) * + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE), + sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)), + [=](sycl::nd_item<3> item_ct1) { + convert_unary(vx, y, k, item_ct1); + }); + } +} + +to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) { + switch (type) { + case GGML_TYPE_Q4_0: + return dequantize_block_sycl; + case GGML_TYPE_Q4_1: + return dequantize_block_sycl; + case GGML_TYPE_Q5_0: + return dequantize_block_sycl; + case GGML_TYPE_Q5_1: + return dequantize_block_sycl; + case GGML_TYPE_Q8_0: + return dequantize_block_sycl; + case GGML_TYPE_Q2_K: + return dequantize_row_q2_K_sycl; + case GGML_TYPE_Q3_K: + return dequantize_row_q3_K_sycl; + case GGML_TYPE_Q4_K: + return dequantize_row_q4_K_sycl; + case GGML_TYPE_Q5_K: + return dequantize_row_q5_K_sycl; + case GGML_TYPE_Q6_K: + return dequantize_row_q6_K_sycl; + case GGML_TYPE_IQ1_S: + return dequantize_row_iq1_s_sycl; + case GGML_TYPE_IQ1_M: + return dequantize_row_iq1_m_sycl; + case GGML_TYPE_IQ2_XXS: + return dequantize_row_iq2_xxs_sycl; + case GGML_TYPE_IQ2_XS: + return dequantize_row_iq2_xs_sycl; + case GGML_TYPE_IQ2_S: + return dequantize_row_iq2_s_sycl; + case GGML_TYPE_IQ3_XXS: + return dequantize_row_iq3_xxs_sycl; + case GGML_TYPE_IQ3_S: + return dequantize_row_iq3_s_sycl; + case GGML_TYPE_IQ4_XS: + return dequantize_row_iq4_xs_sycl; + case GGML_TYPE_IQ4_NL: + return dequantize_row_iq4_nl_sycl; + case GGML_TYPE_F32: + return convert_unary_sycl; + default: + return nullptr; + } +} + +to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) { + switch (type) { + case GGML_TYPE_Q4_0: + return dequantize_row_q4_0_sycl; + case GGML_TYPE_Q4_1: + return dequantize_row_q4_1_sycl; + case GGML_TYPE_Q5_0: + return dequantize_block_sycl; + case GGML_TYPE_Q5_1: + return dequantize_block_sycl; + case GGML_TYPE_Q8_0: + return dequantize_block_sycl; + case GGML_TYPE_Q2_K: + return dequantize_row_q2_K_sycl; + case GGML_TYPE_Q3_K: + return dequantize_row_q3_K_sycl; + case GGML_TYPE_Q4_K: + return dequantize_row_q4_K_sycl; + case GGML_TYPE_Q5_K: + return dequantize_row_q5_K_sycl; + case GGML_TYPE_Q6_K: + return dequantize_row_q6_K_sycl; + case GGML_TYPE_IQ1_S: + return dequantize_row_iq1_s_sycl; + case GGML_TYPE_IQ1_M: + return dequantize_row_iq1_m_sycl; + case GGML_TYPE_IQ2_XXS: + return dequantize_row_iq2_xxs_sycl; + case GGML_TYPE_IQ2_XS: + return dequantize_row_iq2_xs_sycl; + case GGML_TYPE_IQ2_S: + return dequantize_row_iq2_s_sycl; + case GGML_TYPE_IQ3_XXS: + return dequantize_row_iq3_xxs_sycl; + case GGML_TYPE_IQ3_S: + return dequantize_row_iq3_s_sycl; + case GGML_TYPE_IQ4_XS: + return dequantize_row_iq4_xs_sycl; + case GGML_TYPE_IQ4_NL: + return dequantize_row_iq4_nl_sycl; + case GGML_TYPE_F16: + return convert_unary_sycl; + default: + return nullptr; + } +} diff --git a/ggml-sycl/convert.hpp b/ggml-sycl/convert.hpp new file mode 100644 index 000000000..b1f10d635 --- /dev/null +++ b/ggml-sycl/convert.hpp @@ -0,0 +1,27 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_CONVERT_HPP +#define GGML_SYCL_CONVERT_HPP + +#include "common.hpp" + +template +using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y, + int k, dpct::queue_ptr stream); +typedef to_t_sycl_t to_fp32_sycl_t; +typedef to_t_sycl_t to_fp16_sycl_t; + +to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type); +to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type); + +#endif // GGML_SYCL_CONVERT_HPP diff --git a/ggml-sycl/dequantize.hpp b/ggml-sycl/dequantize.hpp new file mode 100644 index 000000000..b6080d83a --- /dev/null +++ b/ggml-sycl/dequantize.hpp @@ -0,0 +1,690 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_DEQUANTIZE_HPP +#define GGML_SYCL_DEQUANTIZE_HPP + +#include "common.hpp" + +typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v); + +static __dpct_inline__ void dequantize_q4_0(const void *vx, const int ib, + const int iqs, dfloat2 &v) { + const block_q4_0 * x = (const block_q4_0 *) vx; + + const dfloat d = x[ib].d; + + const int vui = x[ib].qs[iqs]; + + v.x() = vui & 0xF; + v.y() = vui >> 4; + +#ifdef GGML_SYCL_F16 + // v = v - {8.0f, 8.0f}; + // v = v * {d, d}; + v.s0() = (v.s0() - 8.0f) * d; + v.s1() = (v.s1() - 8.0f) * d; + +#else + v.x() = (v.x() - 8.0f) * d; + v.y() = (v.y() - 8.0f) * d; +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void dequantize_q4_1(const void *vx, const int ib, + const int iqs, dfloat2 &v) { + const block_q4_1 * x = (const block_q4_1 *) vx; + + const dfloat d = x[ib].dm[0]; + const dfloat m = x[ib].dm[1]; + + const int vui = x[ib].qs[iqs]; + + v.x() = vui & 0xF; + v.y() = vui >> 4; + +#ifdef GGML_SYCL_F16 + // v = v * {d, d}; + // v = v + {m, m}; + v.s0() = (v.s0() * d) + m; + v.s1() = (v.s1() * d) + m; + +#else + v.x() = (v.x() * d) + m; + v.y() = (v.y() * d) + m; +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void dequantize_q5_0(const void *vx, const int ib, + const int iqs, dfloat2 &v) { + const block_q5_0 * x = (const block_q5_0 *) vx; + + const dfloat d = x[ib].d; + + uint32_t qh; + memcpy(&qh, x[ib].qh, sizeof(qh)); + + const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; + const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; + + v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); + v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); + +#ifdef GGML_SYCL_F16 + // v = v - {16.0f, 16.0f}; + // v = v * {d, d}; + v.s0() = (v.s0() - 16.0f) * d; + v.s1() = (v.s1() - 16.0f) * d; + +#else + v.x() = (v.x() - 16.0f) * d; + v.y() = (v.y() - 16.0f) * d; +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void dequantize_q5_1(const void *vx, const int ib, + const int iqs, dfloat2 &v) { + const block_q5_1 * x = (const block_q5_1 *) vx; + + const dfloat d = x[ib].dm[0]; + const dfloat m = x[ib].dm[1]; + + uint32_t qh; + memcpy(&qh, x[ib].qh, sizeof(qh)); + + const int xh_0 = ((qh >> (iqs + 0)) << 4) & 0x10; + const int xh_1 = ((qh >> (iqs + 12)) ) & 0x10; + + v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0); + v.y() = ((x[ib].qs[iqs] >> 4) | xh_1); + +#ifdef GGML_SYCL_F16 + // v = v * {d, d}; + // v = v + {m, m}; + v.s0() = (v.s0() * d) + m; + v.s1() = (v.s1() * d) + m; +#else + v.x() = (v.x() * d) + m; + v.y() = (v.y() * d) + m; +#endif // GGML_SYCL_F16 +} + +static __dpct_inline__ void dequantize_q8_0(const void *vx, const int ib, + const int iqs, dfloat2 &v) { + const block_q8_0 * x = (const block_q8_0 *) vx; + + const dfloat d = x[ib].d; + + v.x() = x[ib].qs[iqs + 0]; + v.y() = x[ib].qs[iqs + 1]; + +#ifdef GGML_SYCL_F16 + // v = v * {d, d}; + v.s0() *= d; + v.s1() *= d; +#else + v.x() *= d; + v.y() *= d; +#endif // GGML_SYCL_F16 +} + +template +static void dequantize_block_q4_0(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + + // assume 32 threads + const int tid = item_ct1.get_local_id(2); + const int il = tid/8; + const int ir = tid%8; + const int ib = 8*i + ir; + if (ib >= nb32) { + return; + } + + dst_t * y = yy + 256*i + 32*ir + 4*il; + + const block_q4_0 * x = (const block_q4_0 *)vx + ib; + const float d = sycl::vec(x->d) + .convert()[0]; + const float dm = -8*d; + + const uint8_t * q = x->qs + 4*il; + + for (int l = 0; l < 4; ++l) { + y[l+ 0] = d * (q[l] & 0xF) + dm; + y[l+16] = d * (q[l] >> 4) + dm; + } +} + +template +static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + + // assume 32 threads + const int tid = item_ct1.get_local_id(2); + const int il = tid/8; + const int ir = tid%8; + const int ib = 8*i + ir; + if (ib >= nb32) { + return; + } + + dst_t * y = yy + 256*i + 32*ir + 4*il; + + const block_q4_1 * x = (const block_q4_1 *)vx + ib; + const sycl::float2 d = + x->dm.convert(); + + const uint8_t * q = x->qs + 4*il; + + for (int l = 0; l < 4; ++l) { + y[l + 0] = d.x() * (q[l] & 0xF) + d.y(); + y[l + 16] = d.x() * (q[l] >> 4) + d.y(); + } +} + + +//================================== k-quants + +template +static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + const block_q2_K * x = (const block_q2_K *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int n = tid/32; + const int l = tid - 32*n; + const int is = 8*n + l/16; + + const uint8_t q = x[i].qs[32*n + l]; + dst_t * y = yy + i*QK_K + 128*n; + + float dall = x[i].dm[0]; + float dmin = x[i].dm[1]; + y[l+ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4); + y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4); + y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4); + y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4); +#else + const int is = tid/16; // 0 or 1 + const int il = tid%16; // 0...15 + const uint8_t q = x[i].qs[il] >> (2*is); + dst_t * y = yy + i*QK_K + 16*is + il; + + float dall = x[i].dm[0]; + float dmin = x[i].dm[1]; + y[ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4); + y[32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+2] >> 4); +#endif + +} + +template +static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + const block_q3_K * x = (const block_q3_K *) vx; + +#if QK_K == 256 + const int r = item_ct1.get_local_id(2) / 4; + const int tid = r/2; + const int is0 = r%2; + const int l0 = 16 * is0 + 4 * (item_ct1.get_local_id(2) % 4); + const int n = tid / 4; + const int j = tid - 4*n; + + uint8_t m = 1 << (4*n + j); + int is = 8*n + 2*j + is0; + int shift = 2*j; + + int8_t us = is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) : + is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) : + is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) : + (x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4); + float d_all = x[i].d; + float dl = d_all * (us - 32); + + dst_t * y = yy + i*QK_K + 128*n + 32*j; + const uint8_t * q = x[i].qs + 32*n; + const uint8_t * hm = x[i].hmask; + + for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4)); +#else + const int tid = item_ct1.get_local_id(2); + const int is = tid/16; // 0 or 1 + const int il = tid%16; // 0...15 + const int im = il/8; // 0...1 + const int in = il%8; // 0...7 + + dst_t * y = yy + i*QK_K + 16*is + il; + + const uint8_t q = x[i].qs[il] >> (2*is); + const uint8_t h = x[i].hmask[in] >> (2*is + im); + const float d = (float)x[i].d; + + if (is == 0) { + y[ 0] = d * ((x[i].scales[0] & 0xF) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4)); + y[32] = d * ((x[i].scales[1] & 0xF) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4)); + } else { + y[ 0] = d * ((x[i].scales[0] >> 4) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4)); + y[32] = d * ((x[i].scales[1] >> 4) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4)); + } +#endif + +} + +#if QK_K == 256 +static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) { + if (j < 4) { + d = q[j] & 63; m = q[j + 4] & 63; + } else { + d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4); + m = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4); + } +} +#endif + +template +static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + const block_q4_K * x = (const block_q4_K *) vx; + + const int i = item_ct1.get_group(2); + +#if QK_K == 256 + // assume 32 threads + const int tid = item_ct1.get_local_id(2); + const int il = tid/8; + const int ir = tid%8; + const int is = 2*il; + const int n = 4; + + dst_t * y = yy + i*QK_K + 64*il + n*ir; + + const float dall = x[i].dm[0]; + const float dmin = x[i].dm[1]; + + const uint8_t * q = x[i].qs + 32*il + n*ir; + + uint8_t sc, m; + get_scale_min_k4(is + 0, x[i].scales, sc, m); + const float d1 = dall * sc; const float m1 = dmin * m; + get_scale_min_k4(is + 1, x[i].scales, sc, m); + const float d2 = dall * sc; const float m2 = dmin * m; + for (int l = 0; l < n; ++l) { + y[l + 0] = d1 * (q[l] & 0xF) - m1; + y[l +32] = d2 * (q[l] >> 4) - m2; + } +#else + const int tid = item_ct1.get_local_id(2); + const uint8_t * q = x[i].qs; + dst_t * y = yy + i*QK_K; + const float d = (float)x[i].dm[0]; + const float m = (float)x[i].dm[1]; + y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4); + y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >> 4) - m * (x[i].scales[1] >> 4); +#endif +} + +template +static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + const block_q5_K * x = (const block_q5_K *) vx; + + const int i = item_ct1.get_group(2); + +#if QK_K == 256 + // assume 64 threads - this is very slightly better than the one below + const int tid = item_ct1.get_local_id(2); + const int il = tid/16; // il is in 0...3 + const int ir = tid%16; // ir is in 0...15 + const int is = 2*il; // is is in 0...6 + + dst_t * y = yy + i*QK_K + 64*il + 2*ir; + + const float dall = x[i].dm[0]; + const float dmin = x[i].dm[1]; + + const uint8_t * ql = x[i].qs + 32*il + 2*ir; + const uint8_t * qh = x[i].qh + 2*ir; + + uint8_t sc, m; + get_scale_min_k4(is + 0, x[i].scales, sc, m); + const float d1 = dall * sc; const float m1 = dmin * m; + get_scale_min_k4(is + 1, x[i].scales, sc, m); + const float d2 = dall * sc; const float m2 = dmin * m; + + uint8_t hm = 1 << (2*il); + y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1; + y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1; + hm <<= 1; + y[32] = d2 * ((ql[ 0] >> 4) + (qh[ 0] & hm ? 16 : 0)) - m2; + y[33] = d2 * ((ql[ 1] >> 4) + (qh[ 1] & hm ? 16 : 0)) - m2; +#else + const int tid = item_ct1.get_local_id(2); + const uint8_t q = x[i].qs[tid]; + const int im = tid/8; // 0...3 + const int in = tid%8; // 0...7 + const int is = tid/16; // 0 or 1 + const uint8_t h = x[i].qh[in] >> im; + const float d = x[i].d; + dst_t * y = yy + i*QK_K + tid; + y[ 0] = d * x[i].scales[is+0] * ((q & 0xF) - ((h >> 0) & 1 ? 0 : 16)); + y[32] = d * x[i].scales[is+2] * ((q >> 4) - ((h >> 4) & 1 ? 0 : 16)); +#endif +} + +template +static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + const block_q6_K * x = (const block_q6_K *) vx; + + const int i = item_ct1.get_group(2); +#if QK_K == 256 + + // assume 64 threads - this is very slightly better than the one below + const int tid = item_ct1.get_local_id(2); + const int ip = tid/32; // ip is 0 or 1 + const int il = tid - 32*ip; // 0...32 + const int is = 8*ip + il/16; + + dst_t * y = yy + i*QK_K + 128*ip + il; + + const float d = x[i].d; + + const uint8_t * ql = x[i].ql + 64*ip + il; + const uint8_t qh = x[i].qh[32*ip + il]; + const int8_t * sc = x[i].scales + is; + + y[ 0] = d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32); + y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32); + y[64] = d * sc[4] * ((int8_t)((ql[ 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32); + y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32); +#else + + // assume 32 threads + const int tid = item_ct1.get_local_id(2); + const int ip = tid/16; // 0 or 1 + const int il = tid - 16*ip; // 0...15 + + dst_t * y = yy + i*QK_K + 16*ip + il; + + const float d = x[i].d; + + const uint8_t ql = x[i].ql[16*ip + il]; + const uint8_t qh = x[i].qh[il] >> (2*ip); + const int8_t * sc = x[i].scales; + + y[ 0] = d * sc[ip+0] * ((int8_t)((ql & 0xF) | (((qh >> 0) & 3) << 4)) - 32); + y[32] = d * sc[ip+2] * ((int8_t)((ql >> 4) | (((qh >> 4) & 3) << 4)) - 32); +#endif +} + +template +static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint64_t *iq2xxs_grid_ptr, + const uint8_t *ksigns_iq2xs_ptr, + const uint8_t *kmask_iq2xs_ptr) { + + const int i = item_ct1.get_group(2); + const block_iq2_xxs * x = (const block_iq2_xxs *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint16_t * q2 = x[i].qs + 4*ib; + const uint8_t * aux8 = (const uint8_t *)q2; + const uint8_t * grid = (const uint8_t *)(iq2xxs_grid_ptr + aux8[il]); + const uint32_t aux32 = q2[2] | (q2[3] << 16); + const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f; + const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127]; + for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f); +#else + assert(false); +#endif + +} + +template +static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint64_t *iq2xs_grid, + const uint8_t *ksigns_iq2xs, + const uint8_t *kmask_iq2xs) { + + const int i = item_ct1.get_group(2); + const block_iq2_xs * x = (const block_iq2_xs *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint16_t * q2 = x[i].qs + 4*ib; + const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511)); + const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; + const uint8_t signs = ksigns_iq2xs[q2[il] >> 9]; + for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); +#else + assert(false); +#endif + +} + +template +__dpct_inline__ static void +dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + const block_iq2_s * x = (const block_iq2_s *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300))); + const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f; + const uint8_t signs = x[i].qs[QK_K/8+4*ib+il]; +#pragma unroll + for (int j = 0; j < 8; ++j) + y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f); +#else + assert(false); + +#endif + +} + +template +static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint32_t *iq3xxs_grid, + const uint8_t *ksigns_iq2xs, + const uint8_t *kmask_iq2xs) { + + const int i = item_ct1.get_group(2); + const block_iq3_xxs * x = (const block_iq3_xxs *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint8_t * q3 = x[i].qs + 8*ib; + const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib; + const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]); + const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]); + const uint32_t aux32 = gas[0] | (gas[1] << 16); + const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.5f; + const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127]; + for (int j = 0; j < 4; ++j) { + y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); + y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); + } +#else + assert(false); +#endif + +} + +template +__dpct_inline__ static void +dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint8_t *kmask_iq2xs, const uint32_t *iq3s_grid) { + + const int i = item_ct1.get_group(2); + const block_iq3_s * x = (const block_iq3_s *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint8_t * qs = x[i].qs + 8*ib; + const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256))); + const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256))); + const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf)); + const uint8_t signs = x[i].signs[4*ib + il]; +#pragma unroll + for (int j = 0; j < 4; ++j) { + y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f); + y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f); + } +#else + assert(false); +#endif + +} + +template +__dpct_inline__ static void +dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint32_t *iq1s_grid_gpu) { + + const int i = item_ct1.get_group(2); + const block_iq1_s * x = (const block_iq1_s *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA; + const float d = (float)x[i].d * (2*((x[i].qh[ib] >> 12) & 7) + 1); + uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; + grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)]; + grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; + grid32[0] &= 0x0f0f0f0f; +#pragma unroll + for (int j = 0; j < 8; ++j) { + y[j] = d * (q[j] + delta); + } +#else + assert(false); +#endif + +} + +template +__dpct_inline__ static void +dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1, + const uint32_t *iq1s_grid_gpu) { + + const int i = item_ct1.get_group(2); + const block_iq1_m * x = (const block_iq1_m *) vx; + + const int tid = item_ct1.get_local_id(2); +#if QK_K == 256 + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 8*il; + const uint16_t * sc = (const uint16_t *)x[i].scales; + iq1m_scale_t scale; + scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); + const int ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4); + const float d = (float)scale.f16 * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1); + const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA; + uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32; + grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)]; + grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f; + grid32[0] &= 0x0f0f0f0f; +#pragma unroll + for (int j = 0; j < 8; ++j) { + y[j] = d * (q[j] + delta); + } +#else + assert(false); +#endif + +} + +template +__dpct_inline__ static void +dequantize_block_iq4_nl(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + + const int i = item_ct1.get_group(2); + const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL); + + const int tid = item_ct1.get_local_id(2); + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 4*il; + const uint8_t * q4 = x[ib].qs + 4*il; + const float d = (float)x[ib].d; +#pragma unroll + for (int j = 0; j < 4; ++j) { + y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; + y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; + } + +} + + +template +__dpct_inline__ static void +dequantize_block_iq4_xs(const void *__restrict__ vx, dst_t *__restrict__ yy, + const sycl::nd_item<3> &item_ct1) { + const int i = item_ct1.get_group(2); + const block_iq4_xs * x = (const block_iq4_xs *)vx; + + const int tid = item_ct1.get_local_id(2); + const int il = tid/8; // 0...3 + const int ib = tid%8; // 0...7 + dst_t * y = yy + i*QK_K + 32*ib + 4*il; + const uint8_t * q4 = x[i].qs + 16*ib + 4*il; + const float d = (float)x[i].d * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32); +#pragma unroll + for (int j = 0; j < 4; ++j) { + y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf]; + y[j+16] = d * kvalues_iq4nl[q4[j] >> 4]; + } +} + + +#endif // GGML_SYCL_DEQUANTIZE_HPP diff --git a/ggml-sycl/dmmv.cpp b/ggml-sycl/dmmv.cpp new file mode 100644 index 000000000..3a87d3ef8 --- /dev/null +++ b/ggml-sycl/dmmv.cpp @@ -0,0 +1,1022 @@ +#include "convert.hpp" +#include "dmmv.hpp" +#include "dequantize.hpp" +#include "presets.hpp" + +static void convert_f16(const void * vx, const int ib, const int iqs, dfloat2 & v){ + const sycl::half *x = (const sycl::half *)vx; + + // automatic half -> float type cast if dfloat == float + v.x() = x[ib + iqs + 0]; + v.y() = x[ib + iqs + 1]; +} + +static void convert_f32(const void * vx, const int ib, const int iqs, dfloat2 & v){ + const float * x = (const float *) vx; + + // automatic half -> float type cast if dfloat == float + v.x() = x[ib + iqs + 0]; + v.y() = x[ib + iqs + 1]; +} + +template +static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows, + const sycl::nd_item<3> &item_ct1) { + // qk = quantized weights per x block + // qr = number of quantized weights per data value in x block + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int tid = item_ct1.get_local_id(2); + + const int iter_stride = 2*GGML_SYCL_DMMV_X; + const int vals_per_iter = iter_stride / WARP_SIZE; // num quantized vals per thread and i iter + const int y_offset = qr == 1 ? 1 : qk/2; + +// partial sum for each thread +#ifdef GGML_SYCL_F16 + sycl::half2 tmp = {0.0f, 0.0f}; // two sums for f16 to take advantage of half2 intrinsics +#else + float tmp = 0.0f; +#endif // GGML_SYCL_F16 + + for (int i = 0; i < ncols; i += iter_stride) { + const int col = i + vals_per_iter*tid; + const int ib = (row*ncols + col)/qk; // x block index + const int iqs = (col%qk)/qr; // x quant index + const int iybs = col - col%qk; // y block start index + +// processing >2 values per i iter is faster for fast GPUs +#pragma unroll + for (int j = 0; j < vals_per_iter; j += 2) { + // process 2 vals per j iter + + // dequantize + // for qr = 2 the iqs needs to increase by 1 per j iter because 2 weights per data val + dfloat2 v; + dequantize_kernel(vx, ib, iqs + j/qr, v); + + // matrix multiplication + // for qr = 2 the y index needs to increase by 1 per j iter because of y_offset = qk/2 +#ifdef GGML_SYCL_F16 + dfloat2 t1{y[iybs + iqs + j / qr + 0], + y[iybs + iqs + j / qr + y_offset]}; + + tmp += v * t1; +#else + tmp += v.x() * y[iybs + iqs + j / qr + 0]; + tmp += v.y() * y[iybs + iqs + j / qr + y_offset]; +#endif // GGML_SYCL_F16 + } + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (tid == 0) { +#ifdef GGML_SYCL_F16 + dst[row] = tmp.x() + tmp.y(); +#else + dst[row] = tmp; +#endif // GGML_SYCL_F16 + } +} + +static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec<1, 1, convert_f16>(vx, y, dst, ncols, + nrows, item_ct1); + }); + } +} + +/* +DPCT1110:4: The total declared local variable size in device function +dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register +pressure. Consult with your hardware vendor to find the total register size +available and adjust the code, or use smaller sub-group size to avoid high +register pressure. +*/ +static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx, + const float *__restrict__ yy, + float *__restrict__ dst, + const int ncols, int nrows, + const sycl::nd_item<3> &item_ct1) { + + static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); + + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + if (row > nrows) return; + + const int num_blocks_per_row = ncols / QK_K; + const int ib0 = row*num_blocks_per_row; + + const block_q2_K * x = (const block_q2_K *)vx + ib0; + + float tmp = 0; // partial sum for thread in warp + +#if QK_K == 256 + const int tid = + item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15 + const int ix = + item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 + + const int step = 16/K_QUANTS_PER_ITERATION; + + const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int in = tid - step*im; // 0...15 or 0...7 + + const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 or 0...14 in steps of 2 + const int q_offset = 32*im + l0; + const int s_offset = 8*im; + const int y_offset = 128*im + l0; + + uint32_t aux[4]; + const uint8_t * d = (const uint8_t *)aux; + const uint8_t * m = (const uint8_t *)(aux + 2); + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + y_offset; + const uint8_t * q = x[i].qs + q_offset; + + const float dall = x[i].dm[0]; + const float dmin = x[i].dm[1]; + + const uint32_t * a = (const uint32_t *)(x[i].scales + s_offset); + aux[0] = a[0] & 0x0f0f0f0f; + aux[1] = a[1] & 0x0f0f0f0f; + aux[2] = (a[0] >> 4) & 0x0f0f0f0f; + aux[3] = (a[1] >> 4) & 0x0f0f0f0f; + + float sum1 = 0, sum2 = 0; + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3) + + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3) + + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3) + + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3) + + y[l+16] * d[1] * ((q[l+16] >> 0) & 3) + + y[l+48] * d[3] * ((q[l+16] >> 2) & 3) + + y[l+80] * d[5] * ((q[l+16] >> 4) & 3) + +y[l+112] * d[7] * ((q[l+16] >> 6) & 3); + sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6] + + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7]; + + } + tmp += dall * sum1 - dmin * sum2; + + } +#else + const int tid = item_ct1.get_local_id(2) / + (2 * K_QUANTS_PER_ITERATION); // 0...15 or 0...7 + const int ix = item_ct1.get_local_id(2) % + (2 * K_QUANTS_PER_ITERATION); // 0....1 or 0...3 + const int offset = tid * K_QUANTS_PER_ITERATION; + + uint32_t uaux[2]; + const uint8_t * d = (const uint8_t *)uaux; + + + for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + offset; + const uint8_t * q = x[i].qs + offset; + const uint32_t * s = (const uint32_t *)x[i].scales; + + uaux[0] = s[0] & 0x0f0f0f0f; + uaux[1] = (s[0] >> 4) & 0x0f0f0f0f; + + const sycl::float2 dall = + x[i].dm.convert(); + + float sum1 = 0, sum2 = 0; + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + const uint8_t ql = q[l]; + sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3) + + y[l+16] * d[1] * ((ql >> 2) & 3) + + y[l+32] * d[2] * ((ql >> 4) & 3) + + y[l+48] * d[3] * ((ql >> 6) & 3); + sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7]; + } + tmp += dall.x() * sum1 - dall.y() * sum2; + } + +#endif + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +/* +DPCT1110:5: The total declared local variable size in device function +dequantize_mul_mat_vec_q3_k exceeds 128 bytes and may cause high register +pressure. Consult with your hardware vendor to find the total register size +available and adjust the code, or use smaller sub-group size to avoid high +register pressure. +*/ +static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx, + const float *__restrict__ yy, + float *__restrict__ dst, + const int ncols, int nrows, + const sycl::nd_item<3> &item_ct1) { + + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + if (row > nrows) return; + + const int num_blocks_per_row = ncols / QK_K; + const int ib0 = row*num_blocks_per_row; + + const block_q3_K * x = (const block_q3_K *)vx + ib0; + + float tmp = 0; // partial sum for thread in warp + +#if QK_K == 256 + + const uint16_t kmask1 = 0x0303; + const uint16_t kmask2 = 0x0f0f; + + const int tid = + item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = + item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 + + const int n = K_QUANTS_PER_ITERATION; // iterations in the inner loop + const int step = 16/K_QUANTS_PER_ITERATION; + const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int in = tid - step*im; // 0....15 or 0...7 + + const uint8_t m = 1 << (4*im); + + const int l0 = n*in; // 0...15 or 0...14 in steps of 2 + const int q_offset = 32*im + l0; + const int y_offset = 128*im + l0; + + uint16_t utmp[4]; + const int8_t * s = (const int8_t *)utmp; + + const uint16_t s_shift = 4*im; + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + y_offset; + const uint8_t * q = x[i].qs + q_offset; + const uint8_t * h = x[i].hmask + l0; + + const uint16_t * a = (const uint16_t *)x[i].scales; + utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4); + utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4); + utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4); + utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4); + + const float d = x[i].d; + + float sum = 0; + for (int l = 0; l < n; ++l) { + sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4)) + + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4)) + + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4)) + + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4)); + sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4)) + + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4)) + + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4)) + + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4)); + } + tmp += d * sum; + + } +#else + + const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 or 0...7 + const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); // 0....1 or 0...3 + const int offset = tid * K_QUANTS_PER_ITERATION; // 0...15 or 0...14 + const int in = offset/8; // 0 or 1 + const int im = offset%8; // 0...7 + + for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + offset; + const uint8_t * q = x[i].qs + offset; + const uint8_t * s = x[i].scales; + + const float dall = (float)x[i].d; + + float sum = 0; + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + const uint8_t hl = x[i].hmask[im+l] >> in; + const uint8_t ql = q[l]; + sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4)) + + y[l+16] * dall * ((s[0] >> 4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4)) + + y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4)) + + y[l+48] * dall * ((s[1] >> 4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4)); + } + tmp += sum; + } +#endif + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +/* +DPCT1110:6: The total declared local variable size in device function +dequantize_mul_mat_vec_q4_k exceeds 128 bytes and may cause high register +pressure. Consult with your hardware vendor to find the total register size +available and adjust the code, or use smaller sub-group size to avoid high +register pressure. +*/ +static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx, + const float *__restrict__ yy, + float *__restrict__ dst, + const int ncols, int nrows, + const sycl::nd_item<3> &item_ct1) { + + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + if (row > nrows) return; + const int num_blocks_per_row = ncols / QK_K; + const int ib0 = row*num_blocks_per_row; + + const block_q4_K * x = (const block_q4_K *)vx + ib0; + +#if QK_K == 256 + const uint16_t kmask1 = 0x3f3f; + const uint16_t kmask2 = 0x0f0f; + const uint16_t kmask3 = 0xc0c0; + + const int tid = + item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = + item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1 + + const int step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 + + const int il = tid/step; // 0...3 + const int ir = tid - step*il; // 0...7 or 0...3 + const int n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 + + const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const int in = il%2; + + const int l0 = n*(2*ir + in); + const int q_offset = 32*im + l0; + const int y_offset = 64*im + l0; + + uint16_t aux[4]; + const uint8_t * sc = (const uint8_t *)aux; + +#if K_QUANTS_PER_ITERATION == 2 + uint32_t q32[4]; + const uint8_t * q4 = (const uint8_t *)q32; +#else + uint16_t q16[4]; + const uint8_t * q4 = (const uint8_t *)q16; +#endif + + float tmp = 0; // partial sum for thread in warp + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + + const float * y1 = yy + i*QK_K + y_offset; + const float * y2 = y1 + 128; + + const float dall = x[i].dm[0]; + const float dmin = x[i].dm[1]; + + const uint16_t * a = (const uint16_t *)x[i].scales; + aux[0] = a[im+0] & kmask1; + aux[1] = a[im+2] & kmask1; + aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); + aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); + +#if K_QUANTS_PER_ITERATION == 2 + const uint32_t * q1 = (const uint32_t *)(x[i].qs + q_offset); + const uint32_t * q2 = q1 + 16; + + q32[0] = q1[0] & 0x0f0f0f0f; + q32[1] = q1[0] & 0xf0f0f0f0; + q32[2] = q2[0] & 0x0f0f0f0f; + q32[3] = q2[0] & 0xf0f0f0f0; + + sycl::float4 s = {0.f, 0.f, 0.f, 0.f}; + float smin = 0; + for (int l = 0; l < 4; ++l) { + s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4]; + s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12]; + smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; + } + tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f + + s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) - + dmin * smin; +#else + const uint16_t * q1 = (const uint16_t *)(x[i].qs + q_offset); + const uint16_t * q2 = q1 + 32; + + q16[0] = q1[0] & 0x0f0f; + q16[1] = q1[0] & 0xf0f0; + q16[2] = q2[0] & 0x0f0f; + q16[3] = q2[0] & 0xf0f0; + + float4 s = {0.f, 0.f, 0.f, 0.f}; + float smin = 0; + for (int l = 0; l < 2; ++l) { + s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2]; + s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6]; + smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7]; + } + tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin; +#endif + + } +#else + const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 + const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); + + const int step = tid * K_QUANTS_PER_ITERATION; + + uint16_t aux16[2]; + const uint8_t * s = (const uint8_t *)aux16; + + float tmp = 0; + + for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { + const uint8_t * q = x[i].qs + step; + const float * y = yy + i*QK_K + step; + const uint16_t * a = (const uint16_t *)x[i].scales; + aux16[0] = a[0] & 0x0f0f; + aux16[1] = (a[0] >> 4) & 0x0f0f; + const float d = (float)x[i].dm[0]; + const float m = (float)x[i].dm[1]; + float sum = 0.f; + for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { + sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2]) + + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2]) + + y[j+32] * (d * s[1] * (q[j+ 0] >> 4) - m * s[3]) + + y[j+48] * (d * s[1] * (q[j+16] >> 4) - m * s[3]); + } + tmp += sum; + } + +#endif + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (tid == 0) { + dst[row] = tmp; + } +} + +/* +DPCT1110:7: The total declared local variable size in device function +dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register +pressure. Consult with your hardware vendor to find the total register size +available and adjust the code, or use smaller sub-group size to avoid high +register pressure. +*/ +static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx, + const float *__restrict__ yy, + float *__restrict__ dst, + const int ncols, + const sycl::nd_item<3> &item_ct1) { + + const int row = item_ct1.get_group(2); + const int num_blocks_per_row = ncols / QK_K; + const int ib0 = row*num_blocks_per_row; + + const block_q5_K * x = (const block_q5_K *)vx + ib0; + + float tmp = 0; // partial sum for thread in warp + +#if QK_K == 256 + const uint16_t kmask1 = 0x3f3f; + const uint16_t kmask2 = 0x0f0f; + const uint16_t kmask3 = 0xc0c0; + + const int tid = item_ct1.get_local_id(2) / 2; // 0...15 + const int ix = item_ct1.get_local_id(2) % 2; + + const int il = tid/4; // 0...3 + const int ir = tid - 4*il;// 0...3 + const int n = 2; + + const int im = il/2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const int in = il%2; + + const int l0 = n*(2*ir + in); + const int q_offset = 32*im + l0; + const int y_offset = 64*im + l0; + + const uint8_t hm1 = 1 << (2*im); + const uint8_t hm2 = hm1 << 4; + + uint16_t aux[4]; + const uint8_t * sc = (const uint8_t *)aux; + + uint16_t q16[8]; + const uint8_t * q4 = (const uint8_t *)q16; + + for (int i = ix; i < num_blocks_per_row; i += 2) { + + const uint8_t * ql1 = x[i].qs + q_offset; + const uint8_t * qh = x[i].qh + l0; + const float * y1 = yy + i*QK_K + y_offset; + const float * y2 = y1 + 128; + + const float dall = x[i].dm[0]; + const float dmin = x[i].dm[1]; + + const uint16_t * a = (const uint16_t *)x[i].scales; + aux[0] = a[im+0] & kmask1; + aux[1] = a[im+2] & kmask1; + aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2); + aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2); + + sycl::float4 sum = {0.f, 0.f, 0.f, 0.f}; + float smin = 0; + const uint16_t * q1 = (const uint16_t *)ql1; + const uint16_t * q2 = q1 + 32; + q16[0] = q1[0] & 0x0f0f; + q16[1] = q1[8] & 0x0f0f; + q16[2] = (q1[0] >> 4) & 0x0f0f; + q16[3] = (q1[8] >> 4) & 0x0f0f; + q16[4] = q2[0] & 0x0f0f; + q16[5] = q2[8] & 0x0f0f; + q16[6] = (q2[0] >> 4) & 0x0f0f; + q16[7] = (q2[8] >> 4) & 0x0f0f; + for (int l = 0; l < n; ++l) { + sum.x() += + y1[l + 0] * (q4[l + 0] + (qh[l + 0] & (hm1 << 0) ? 16 : 0)) + + y1[l + 16] * (q4[l + 2] + (qh[l + 16] & (hm1 << 0) ? 16 : 0)); + sum.y() += + y1[l + 32] * (q4[l + 4] + (qh[l + 0] & (hm1 << 1) ? 16 : 0)) + + y1[l + 48] * (q4[l + 6] + (qh[l + 16] & (hm1 << 1) ? 16 : 0)); + sum.z() += + y2[l + 0] * (q4[l + 8] + (qh[l + 0] & (hm2 << 0) ? 16 : 0)) + + y2[l + 16] * (q4[l + 10] + (qh[l + 16] & (hm2 << 0) ? 16 : 0)); + sum.w() += + y2[l + 32] * (q4[l + 12] + (qh[l + 0] & (hm2 << 1) ? 16 : 0)) + + y2[l + 48] * (q4[l + 14] + (qh[l + 16] & (hm2 << 1) ? 16 : 0)); + smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3] + + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7]; + } + tmp += dall * (sum.x() * sc[0] + sum.y() * sc[1] + sum.z() * sc[4] + + sum.w() * sc[5]) - + dmin * smin; + } + +#else + const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...15 + const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); + const int step = tid * K_QUANTS_PER_ITERATION; + const int im = step/8; + const int in = step%8; + + for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { + const uint8_t * q = x[i].qs + step; + const int8_t * s = x[i].scales; + const float * y = yy + i*QK_K + step; + const float d = x[i].d; + float sum = 0.f; + for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { + const uint8_t h = x[i].qh[in+j] >> im; + sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16)) + + y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16)) + + y[j+32] * d * s[2] * ((q[j+ 0] >> 4) - ((h >> 4) & 1 ? 0 : 16)) + + y[j+48] * d * s[3] * ((q[j+16] >> 4) - ((h >> 6) & 1 ? 0 : 16)); + } + tmp += sum; + } +#endif + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows, + const sycl::nd_item<3> &item_ct1) { + + static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION"); + + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + if (row > nrows) return; + + const int num_blocks_per_row = ncols / QK_K; + const int ib0 = row*num_blocks_per_row; + + const block_q6_K * x = (const block_q6_K *)vx + ib0; + +#if QK_K == 256 + + const int tid = + item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = + item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const int im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int in = tid - step*im; // 0...15 or 0...7 + +#if K_QUANTS_PER_ITERATION == 1 + const int l0 = K_QUANTS_PER_ITERATION*in; // 0...15 + const int is = 0; +#else + const int l0 = 4 * in; // 0, 4, 8, ..., 28 + const int is = in / 4; +#endif + const int ql_offset = 64*im + l0; + const int qh_offset = 32*im + l0; + const int s_offset = 8*im + is; + const int y_offset = 128*im + l0; + + float tmp = 0; // partial sum for thread in warp + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + y_offset; + const uint8_t * ql = x[i].ql + ql_offset; + const uint8_t * qh = x[i].qh + qh_offset; + const int8_t * s = x[i].scales + s_offset; + + const float d = x[i].d; + +#if K_QUANTS_PER_ITERATION == 1 + float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32) + + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32) + + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32) + + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32) + + y[64] * s[4] * d * ((int8_t)((ql[ 0] >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32) + + y[80] * s[5] * d * ((int8_t)((ql[16] >> 4) | ((qh[16] & 0x30) >> 0)) - 32) + + y[96] * s[6] * d * ((int8_t)((ql[32] >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32) + +y[112] * s[7] * d * ((int8_t)((ql[48] >> 4) | ((qh[16] & 0xc0) >> 2)) - 32); + tmp += sum; +#else + float sum = 0; + for (int l = 0; l < 4; ++l) { + sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32) + + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32) + + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32) + + y[l+96] * s[6] * d * ((int8_t)((ql[l+32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32); + } + tmp += sum; +#endif + + } + +#else + + const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION); // 0...7 + const int ix = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION); // 0...3 + + const int step = tid * K_QUANTS_PER_ITERATION; + + float tmp = 0; // partial sum for thread in warp + + for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) { + + const float * y = yy + i * QK_K + step; + const uint8_t * ql = x[i].ql + step; + const uint8_t * qh = x[i].qh + step; + const int8_t * s = x[i].scales; + + const float d = x[i+0].d; + + float sum = 0; + for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) { + sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32) + + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32) + + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >> 4) | ((qh[j] & 0x30) >> 0)) - 32) + + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >> 4) | ((qh[j] & 0xc0) >> 2)) - 32); + } + tmp += sum; + + } + +#endif + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (tid == 0) { + dst[row] = tmp; + } +} + + +static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec( + vx, y, dst, ncols, nrows, item_ct1); + }); + } +} + +static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec( + vx, y, dst, ncols, nrows, item_ct1); + }); + } +} + +static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec( + vx, y, dst, ncols, nrows, item_ct1); + }); + } +} + +static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec( + vx, y, dst, ncols, nrows, item_ct1); + }); + } +} + +static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec( + vx, y, dst, ncols, nrows, item_ct1); + }); + } +} + +static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2 + const int block_num_y = (nrows + ny - 1) / ny; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, ny, 32); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec_q2_k(vx, y, dst, ncols, nrows, item_ct1); + }); +} + +static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int ny = 2 / K_QUANTS_PER_ITERATION; + const int block_num_y = (nrows + ny - 1) / ny; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, ny, 32); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec_q3_k(vx, y, dst, ncols, nrows, item_ct1); + }); +} + +static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int ny = 2 / K_QUANTS_PER_ITERATION; + const int block_num_y = (nrows + ny - 1) / ny; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, ny, 32); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec_q4_k(vx, y, dst, ncols, nrows, item_ct1); + }); +} + +static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const sycl::range<3> block_dims(1, 1, 32); + stream->parallel_for( + sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec_q5_k(vx, y, dst, ncols, item_ct1); + }); +} + +static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int ny = 2 / K_QUANTS_PER_ITERATION; + const int block_num_y = (nrows + ny - 1) / ny; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, ny, 32); + stream->parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] { + dequantize_mul_mat_vec_q6_k(vx, y, dst, ncols, nrows, item_ct1); + }); +} + +void ggml_sycl_op_dequantize_mul_mat_vec( + ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, + float *dst_dd_i, const int64_t row_low, const int64_t row_high, + const int64_t src1_ncols, const int64_t src1_padded_row_size, + const dpct::queue_ptr &stream) { + + const int64_t ne00 = src0->ne[0]; + const int64_t row_diff = row_high - row_low; + + GGML_ASSERT(src1->type == GGML_TYPE_F32); + // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics +#ifdef GGML_SYCL_F16 + ggml_sycl_pool_alloc src1_dfloat_a(ctx.pool()); + sycl::half *src1_dfloat = nullptr; // dfloat == half + + bool src1_convert_f16 = + src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 || + src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 || + src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16; + + if (src1_convert_f16) { + src1_dfloat = src1_dfloat_a.alloc(ne00); + const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); + GGML_ASSERT(to_fp16_sycl != nullptr); + to_fp16_sycl(src1_ddf_i, src1_dfloat, ne00, stream); + } +#else + const dfloat * src1_dfloat = (const dfloat *) src1_ddf_i; // dfloat == float, no conversion +#endif // GGML_SYCL_F16 + + switch (src0->type) { + case GGML_TYPE_Q4_0: + dequantize_mul_mat_vec_q4_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q4_1: + dequantize_mul_mat_vec_q4_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_0: + dequantize_mul_mat_vec_q5_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_1: + dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q8_0: + dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q2_K: + dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q3_K: + dequantize_mul_mat_vec_q3_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q4_K: + dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_K: + dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q6_K: + dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_F16: + convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream); + break; + default: + printf("ggml_sycl_op_dequantize_mul_mat_vec unsupported GGML_TYPE %d\n", src0->type); + GGML_ASSERT(false); + break; + } + + (void) src1; + (void) dst; + (void) src1_ddq_i; + (void) src1_ncols; + (void) src1_padded_row_size; +} diff --git a/ggml-sycl/dmmv.hpp b/ggml-sycl/dmmv.hpp new file mode 100644 index 000000000..bd8373564 --- /dev/null +++ b/ggml-sycl/dmmv.hpp @@ -0,0 +1,27 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_DMMV_HPP +#define GGML_SYCL_DMMV_HPP + +#include "common.hpp" + + +void ggml_sycl_op_dequantize_mul_mat_vec( + ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, + float *dst_dd_i, const int64_t row_low, const int64_t row_high, + const int64_t src1_ncols, const int64_t src1_padded_row_size, + const dpct::queue_ptr &stream); + +#endif // GGML_SYCL_DMMV_HPP diff --git a/ggml-sycl/mmq.cpp b/ggml-sycl/mmq.cpp new file mode 100644 index 000000000..b514f0040 --- /dev/null +++ b/ggml-sycl/mmq.cpp @@ -0,0 +1,3031 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#include "mmq.hpp" +#include "vecdotq.hpp" + +typedef void (*allocate_tiles_sycl_t)( + int** x_ql, + sycl::half2** x_dm, + int** x_qh, + int** x_sc); +typedef void (*load_tiles_sycl_t)( + const void* __restrict__ vx, + int* __restrict__ x_ql, + sycl::half2* __restrict__ x_dm, + int* __restrict__ x_qh, + int* __restrict__ x_sc, + const int& i_offset, + const int& i_max, + const int& k, + const int& blocks_per_row); +typedef float (*vec_dot_q_mul_mat_sycl_t)( + const int* __restrict__ x_ql, + const sycl::half2* __restrict__ x_dm, + const int* __restrict__ x_qh, + const int* __restrict__ x_sc, + const int* __restrict__ y_qs, + const sycl::half2* __restrict__ y_ms, + const int& i, + const int& j, + const int& k); + + +template +static __dpct_inline__ void +allocate_tiles_q4_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_qs_q4_0, float *tile_x_d_q4_0) { + (void)x_qh; (void)x_sc; + + *x_ql = tile_x_qs_q4_0; + *x_dm = (sycl::half2 *)tile_x_d_q4_0; +} + +template +static __dpct_inline__ void +load_tiles_q4_0(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; (void)x_sc; + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI4_0; + const int kqsx = k % QI4_0; + + const block_q4_0 * bx0 = (const block_q4_0 *) vx; + + float * x_dmf = (float *) x_dm; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); + // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d; + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI4_0; + const int kbxd = k % blocks_per_tile_x_row; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) { + int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d; + } +} + +static __dpct_inline__ float vec_dot_q4_0_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; (void)x_sc; + + const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); + const float * x_dmf = (const float *) x_dm; + + int u[2*VDR_Q4_0_Q8_1_MMQ]; + +#pragma unroll + for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) { + u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; + u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE]; + } + + return vec_dot_q4_0_q8_1_impl + (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0], + y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); +} + +template +static __dpct_inline__ void +allocate_tiles_q4_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_qs_q4_1, sycl::half2 *tile_x_dm_q4_1) { + (void)x_qh; (void)x_sc; + + *x_ql = tile_x_qs_q4_1; + *x_dm = tile_x_dm_q4_1; +} + + +template +static __dpct_inline__ void +load_tiles_q4_1(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; (void)x_sc; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI4_1; + const int kqsx = k % QI4_1; + + const block_q4_1 * bx0 = (const block_q4_1 *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI4_1; + const int kbxd = k % blocks_per_tile_x_row; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) { + int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm; + } +} + +static __dpct_inline__ float vec_dot_q4_1_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; (void)x_sc; + + const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); + + int u[2*VDR_Q4_1_Q8_1_MMQ]; + +#pragma unroll + for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) { + u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; + u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE]; + } + + return vec_dot_q4_1_q8_1_impl + (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1], + y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); +} + +template +static __dpct_inline__ void +allocate_tiles_q5_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q5_0, float *tile_x_d_q5_0) { + (void)x_qh; (void)x_sc; + + *x_ql = tile_x_ql_q5_0; + *x_dm = (sycl::half2 *)tile_x_d_q5_0; +} + +template +static __dpct_inline__ void +load_tiles_q5_0(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; (void)x_sc; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI5_0; + const int kqsx = k % QI5_0; + + const block_q5_0 * bx0 = (const block_q5_0 *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx; + + const int ql = get_int_from_uint8(bxi->qs, kqsx); + const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0)); + + int qs0 = (ql >> 0) & 0x0F0F0F0F; + qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 + qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 + qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 + qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 + qs0 = dpct::vectorized_binary( + qs0, 0x10101010, dpct::sub_sat()); // subtract 16 + + x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; + + int qs1 = (ql >> 4) & 0x0F0F0F0F; + qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 + qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 + qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 + qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 + qs1 = dpct::vectorized_binary( + qs1, 0x10101010, dpct::sub_sat()); // subtract 16 + + x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI5_0; + const int kbxd = k % blocks_per_tile_x_row; + float * x_dmf = (float *) x_dm; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) { + int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d; + } +} + +static __dpct_inline__ float vec_dot_q5_0_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; (void)x_sc; + + const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); + const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0; + const float * x_dmf = (const float *) x_dm; + const float * y_df = (const float *) y_ds; + + int u[2*VDR_Q5_0_Q8_1_MMQ]; + +#pragma unroll + for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) { + u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; + u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE]; + } + + return vec_dot_q8_0_q8_1_impl + (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); +} + +template +static __dpct_inline__ void +allocate_tiles_q5_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q5_1, sycl::half2 *tile_x_dm_q5_1) { + (void)x_qh; (void)x_sc; + + *x_ql = tile_x_ql_q5_1; + *x_dm = tile_x_dm_q5_1; +} + +template +static __dpct_inline__ void +load_tiles_q5_1(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; (void)x_sc; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI5_1; + const int kqsx = k % QI5_1; + + const block_q5_1 * bx0 = (const block_q5_1 *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx; + + const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); + const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1)); + + int qs0 = (ql >> 0) & 0x0F0F0F0F; + qs0 |= (qh << 4) & 0x00000010; // 0 -> 4 + qs0 |= (qh << 11) & 0x00001000; // 1 -> 12 + qs0 |= (qh << 18) & 0x00100000; // 2 -> 20 + qs0 |= (qh << 25) & 0x10000000; // 3 -> 28 + + x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0; + + int qs1 = (ql >> 4) & 0x0F0F0F0F; + qs1 |= (qh >> 12) & 0x00000010; // 16 -> 4 + qs1 |= (qh >> 5) & 0x00001000; // 17 -> 12 + qs1 |= (qh << 2) & 0x00100000; // 18 -> 20 + qs1 |= (qh << 9) & 0x10000000; // 19 -> 28 + + x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1; + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI5_1; + const int kbxd = k % blocks_per_tile_x_row; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) { + int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm; + } +} + +static __dpct_inline__ float vec_dot_q5_1_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; (void)x_sc; + + const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2)); + const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1; + + int u[2*VDR_Q5_1_Q8_1_MMQ]; + +#pragma unroll + for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) { + u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l) % WARP_SIZE]; + u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE]; + } + + return vec_dot_q8_1_q8_1_impl + (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]); +} + +template +static __dpct_inline__ void +allocate_tiles_q8_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_qs_q8_0, float *tile_x_d_q8_0) { + (void)x_qh; (void)x_sc; + + *x_ql = tile_x_qs_q8_0; + *x_dm = (sycl::half2 *)tile_x_d_q8_0; +} + +template +static __dpct_inline__ void +load_tiles_q8_0(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; (void)x_sc; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI8_0; + const int kqsx = k % QI8_0; + float * x_dmf = (float *) x_dm; + + const block_q8_0 * bx0 = (const block_q8_0 *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI8_0; + const int kbxd = k % blocks_per_tile_x_row; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) { + int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d; + } +} + +static __dpct_inline__ float vec_dot_q8_0_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; (void)x_sc; + + const float * x_dmf = (const float *) x_dm; + const float * y_df = (const float *) y_ds; + + return vec_dot_q8_0_q8_1_impl + (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0], + y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]); +} + +template +static __dpct_inline__ void +allocate_tiles_q2_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q2_K, sycl::half2 *tile_x_dm_q2_K, + int *tile_x_sc_q2_K) { + (void)x_qh; + + *x_ql = tile_x_ql_q2_K; + *x_dm = tile_x_dm_q2_K; + *x_sc = tile_x_sc_q2_K; +} + +template +static __dpct_inline__ void +load_tiles_q2_K(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI2_K; + const int kqsx = k % QI2_K; + + const block_q2_K * bx0 = (const block_q2_K *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI2_K; + const int kbxd = k % blocks_per_tile_x_row; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) { + int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm; + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { + int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4); + + x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4)); + } +} + +#define VDR_Q2_K_Q8_1_MMQ 2 +// contiguous u/y values +static __dpct_inline__ float +vec_dot_q2_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, + const uint8_t *__restrict__ scales, + const sycl::half2 &dm2, const float &d8) { + + int sumi_d = 0; + int sumi_m = 0; + +#pragma unroll + for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) { + int sumi_d_sc = 0; + + const int sc = scales[i0 / (QI8_1/2)]; + + // fill int with 4x m + int m = sc >> 4; + m |= m << 8; + m |= m << 16; + +#pragma unroll + for (int i = i0; i < i0 + QI8_1/2; ++i) { + sumi_d_sc = dpct::dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product + sumi_m = dpct::dp4a(m, u[i], + sumi_m); // multiply sum of q8_1 values with m + } + + sumi_d += sumi_d_sc * (sc & 0xF); + } + + const sycl::float2 dm2f = + dm2.convert(); + + return d8 * (dm2f.x() * sumi_d - dm2f.y() * sumi_m); +} + +static __dpct_inline__ float vec_dot_q2_K_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; + + const int kbx = k / QI2_K; + const int ky = (k % QI2_K) * QR2_K; + const float * y_df = (const float *) y_ds; + + int v[QR2_K*VDR_Q2_K_Q8_1_MMQ]; + + const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2); + const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2)); + +#pragma unroll + for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) { + v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303; + } + + const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4; + + const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE; + return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]); +} + +template +static __dpct_inline__ void +allocate_tiles_q3_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q3_K, sycl::half2 *tile_x_dm_q3_K, + int *tile_x_qh_q3_K, int *tile_x_sc_q3_K) { + + *x_ql = tile_x_ql_q3_K; + *x_dm = tile_x_dm_q3_K; + *x_qh = tile_x_qh_q3_K; + *x_sc = tile_x_sc_q3_K; +} + +template +static __dpct_inline__ void +load_tiles_q3_K(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI3_K; + const int kqsx = k % QI3_K; + + const block_q3_K * bx0 = (const block_q3_K *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI3_K; + const int kbxd = k % blocks_per_tile_x_row; + float * x_dmf = (float *) x_dm; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) { + int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d; + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) { + int i = i0 + i_offset * 2 + k / (WARP_SIZE/2); + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2); + + // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted + x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2)); + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) { + int i = i0 + i_offset * 4 + k / (WARP_SIZE/4); + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4); + + const int ksc = k % (QI3_K/4); + + const int ksc_low = ksc % (QI3_K/8); + const int shift_low = 4 * (ksc / (QI3_K/8)); + const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F; + + const int ksc_high = QI3_K/8; + const int shift_high = 2 * ksc; + const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030; + + const int sc = dpct::vectorized_binary( + sc_low | sc_high, 0x20202020, dpct::sub_sat()); + + x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc; + } +} + +#define VDR_Q3_K_Q8_1_MMQ 2 +// contiguous u/y values +static __dpct_inline__ float +vec_dot_q3_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, + const int8_t *__restrict__ scales, const float &d3, + const float &d8) { + + int sumi = 0; + +#pragma unroll + for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) { + int sumi_sc = 0; + + for (int i = i0; i < i0 + QI8_1/2; ++i) { + sumi_sc = dpct::dp4a(v[i], u[i], sumi_sc); // SIMD dot product + } + + sumi += sumi_sc * scales[i0 / (QI8_1/2)]; + } + + return d3*d8 * sumi; +} + +static __dpct_inline__ float vec_dot_q3_K_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + + const int kbx = k / QI3_K; + const int ky = (k % QI3_K) * QR3_K; + const float * x_dmf = (const float *) x_dm; + const float * y_df = (const float *) y_ds; + + const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4; + + int v[QR3_K*VDR_Q3_K_Q8_1_MMQ]; + +#pragma unroll + for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) { + const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2); + const int shift = 2 * ((ky % 32) / 8); + const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303; + + const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8); + const int vlh = (vh << 2) & 0x04040404; + + v[l] = dpct::vectorized_binary(vll, vlh, dpct::sub_sat()); + } + + const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE; + return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]); +} + +template +static __dpct_inline__ void +allocate_tiles_q4_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q4_K, sycl::half2 *tile_x_dm_q4_K, + int *tile_x_sc_q4_K) { + (void)x_qh; + + *x_ql = tile_x_ql_q4_K; + *x_dm = tile_x_dm_q4_K; + *x_sc = tile_x_sc_q4_K; +} + +template +static __dpct_inline__ void +load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI4_K; // == 0 if QK_K == 256 + const int kqsx = k % QI4_K; // == k if QK_K == 256 + + const block_q4_K * bx0 = (const block_q4_K *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx; + + x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256 + const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) { + int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd; + +#if QK_K == 256 + x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm; +#else + x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]}; +#endif + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { + int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8); + + const int * scales = (const int *) bxi->scales; + + const int ksc = k % (WARP_SIZE/8); + + // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 + int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits + scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits + + x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; + } +} + + +#define VDR_Q4_K_Q8_1_MMQ 8 + +// contiguous u/y values +static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_mmq( + const int *__restrict__ v, const int *__restrict__ u, + const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, + const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + +#pragma unroll + for (int i = 0; i < QR4_K*VDR_Q4_K_Q8_1_MMQ/QI8_1; ++i) { + int sumi_d = 0; + +#pragma unroll + for (int j = 0; j < QI8_1; ++j) { + sumi_d = dpct::dp4a((v[j] >> (4 * i)) & 0x0F0F0F0F, + u[i * QI8_1 + j], sumi_d); // SIMD dot product + } + + const sycl::float2 ds8f = + ds8[i].convert(); + + sumf_d += ds8f.x() * (sc[i] * sumi_d); + sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val + } + + const sycl::float2 dm4f = + dm4.convert(); + + return dm4f.x() * sumf_d - dm4f.y() * sumf_m; +} + + +static __dpct_inline__ float vec_dot_q4_K_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; + + const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8); + + const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE; + return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8, + x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]); +} + +template +static __dpct_inline__ void +allocate_tiles_q5_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql_q5_K, sycl::half2 *tile_x_dm_q5_K, + int *tile_x_sc_q5_K) { + (void)x_qh; + + *x_ql = tile_x_ql_q5_K; + *x_dm = tile_x_dm_q5_K; + *x_sc = tile_x_sc_q5_K; +} + +template +static __dpct_inline__ void +load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI5_K; // == 0 if QK_K == 256 + const int kqsx = k % QI5_K; // == k if QK_K == 256 + + const block_q5_K * bx0 = (const block_q5_K *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx; + const int ky = QR5_K*kqsx; + + const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx); + const int ql0 = (ql >> 0) & 0x0F0F0F0F; + const int ql1 = (ql >> 4) & 0x0F0F0F0F; + + const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4)); + const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010; + const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010; + + const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0; + const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4); + + x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0; + x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1; + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256 + const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) { + int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd; + +#if QK_K == 256 + x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm; +#endif + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { + int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8); + + const int * scales = (const int *) bxi->scales; + + const int ksc = k % (WARP_SIZE/8); + + // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8 + int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits + scales8 |= (scales[ksc/2] >> (2 * (ksc % 2))) & 0x30303030; // upper 2 bits + + x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8; + } +} + +#define VDR_Q5_K_Q8_1_MMQ 8 + +// contiguous u/y values +static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_mmq( + const int *__restrict__ v, const int *__restrict__ u, + const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, + const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) { + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + +#pragma unroll + for (int i = 0; i < QR5_K*VDR_Q5_K_Q8_1_MMQ/QI8_1; ++i) { + int sumi_d = 0; + +#pragma unroll + for (int j = 0; j < QI8_1; ++j) { + sumi_d = dpct::dp4a(v[i * QI8_1 + j], u[i * QI8_1 + j], + sumi_d); // SIMD dot product + } + + const sycl::float2 ds8f = + ds8[i].convert(); + + sumf_d += ds8f.x() * (sc[i] * sumi_d); + sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val + } + + const sycl::float2 dm4f = + dm4.convert(); + + return dm4f.x() * sumf_d - dm4f.y() * sumf_m; +} + +static __dpct_inline__ float vec_dot_q5_K_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; + + const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8); + + const int index_x = i * (QR5_K*WARP_SIZE + 1) + QR5_K*k; + const int index_y = j * WARP_SIZE + (QR5_K*k) % WARP_SIZE; + return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8, + x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]); +} + +template +static __dpct_inline__ void +allocate_tiles_q6_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc, + int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_sc) { + (void)x_qh; + + *x_ql = tile_x_ql; + *x_dm = tile_x_dm; + *x_sc = tile_x_sc; +} + +template +static __dpct_inline__ void +load_tiles_q6_K(const void *__restrict__ vx, int *__restrict__ x_ql, + sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh, + int *__restrict__ x_sc, const int &i_offset, const int &i_max, + const int &k, const int &blocks_per_row) { + (void)x_qh; + + GGML_SYCL_ASSUME(i_offset >= 0); + GGML_SYCL_ASSUME(i_offset < nwarps); + GGML_SYCL_ASSUME(k >= 0); + GGML_SYCL_ASSUME(k < WARP_SIZE); + + const int kbx = k / QI6_K; // == 0 if QK_K == 256 + const int kqsx = k % QI6_K; // == k if QK_K == 256 + + const block_q6_K * bx0 = (const block_q6_K *) vx; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps) { + int i = i0 + i_offset; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx; + const int ky = QR6_K*kqsx; + + const int ql = get_int_from_uint8(bxi->ql, kqsx); + const int ql0 = (ql >> 0) & 0x0F0F0F0F; + const int ql1 = (ql >> 4) & 0x0F0F0F0F; + + const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4)); + const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030; + const int qh1 = (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) & 0x30303030; + + const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0; + const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2); + + x_ql[i * (2 * WARP_SIZE + 1) + kq0] = + dpct::vectorized_binary(ql0 | qh0, 0x20202020, + dpct::sub_sat()); + x_ql[i * (2 * WARP_SIZE + 1) + kq1] = + dpct::vectorized_binary(ql1 | qh1, 0x20202020, + dpct::sub_sat()); + } + + const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256 + const int kbxd = k % blocks_per_tile_x_row; // == 0 if QK_K == 256 + float * x_dmf = (float *) x_dm; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) { + int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd; + + x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d; + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) { + int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y; + + if (need_check) { + i = sycl::min(i, i_max); + } + + const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4; + + x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8)); + } +} + +#define VDR_Q6_K_Q8_1_MMQ 8 + +// contiguous u/y values +static __dpct_inline__ float +vec_dot_q6_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u, + const int8_t *__restrict__ sc, const float &d6, + const float *__restrict__ d8) { + + float sumf_d = 0.0f; + +#pragma unroll + for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) { + sycl::int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale + +#pragma unroll + for (int i = i0; i < i0 + 2; ++i) { + sumi_d.x() = dpct::dp4a(v[2 * i + 0], u[2 * i + 0], + sumi_d.x()); // SIMD dot product + sumi_d.x() = dpct::dp4a(v[2 * i + 1], u[2 * i + 1], + sumi_d.x()); // SIMD dot product + + sumi_d.y() = dpct::dp4a(v[2 * i + 4], u[2 * i + 4], + sumi_d.y()); // SIMD dot product + sumi_d.y() = dpct::dp4a(v[2 * i + 5], u[2 * i + 5], + sumi_d.y()); // SIMD dot product + } + + sumf_d += d8[i0 / 4] * + (sc[i0 / 2 + 0] * sumi_d.x() + sc[i0 / 2 + 1] * sumi_d.y()); + } + + return d6 * sumf_d; +} + +static __dpct_inline__ float vec_dot_q6_K_q8_1_mul_mat( + const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm, + const int *__restrict__ x_qh, const int *__restrict__ x_sc, + const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds, + const int &i, const int &j, const int &k) { + (void)x_qh; + + const float * x_dmf = (const float *) x_dm; + const float * y_df = (const float *) y_ds; + + const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]); + + const int index_x = i * (QR6_K*WARP_SIZE + 1) + QR6_K*k; + const int index_y = j * WARP_SIZE + (QR6_K*k) % WARP_SIZE; + return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]); +} + +template +/* +DPCT1110:8: The total declared local variable size in device function mul_mat_q +exceeds 128 bytes and may cause high register pressure. Consult with your +hardware vendor to find the total register size available and adjust the code, +or use smaller sub-group size to avoid high register pressure. +*/ +static __dpct_inline__ void +mul_mat_q(const void *__restrict__ vx, const void *__restrict__ vy, + float *__restrict__ dst, const int ncols_x, const int nrows_x, + const int ncols_y, const int nrows_y, const int nrows_dst, + int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_qh, + int *tile_x_sc, const sycl::nd_item<3> &item_ct1, int *tile_y_qs, + sycl::half2 *tile_y_ds) { + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + const int blocks_per_row_x = ncols_x / qk; + const int blocks_per_col_y = nrows_y / QK8_1; + const int blocks_per_warp = WARP_SIZE / qi; + + const int & ncols_dst = ncols_y; + + const int row_dst_0 = item_ct1.get_group(2) * mmq_y; + const int & row_x_0 = row_dst_0; + + const int col_dst_0 = item_ct1.get_group(1) * mmq_x; + const int & col_y_0 = col_dst_0; + + float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}}; + + for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) { + + load_tiles(x + row_x_0 * blocks_per_row_x + ib0, tile_x_ql, tile_x_dm, + tile_x_qh, tile_x_sc, item_ct1.get_local_id(1), + nrows_x - row_x_0 - 1, item_ct1.get_local_id(2), + blocks_per_row_x); + +#pragma unroll + for (int ir = 0; ir < qr; ++ir) { + const int kqs = ir * WARP_SIZE + item_ct1.get_local_id(2); + const int kbxd = kqs / QI8_1; + +#pragma unroll + for (int i = 0; i < mmq_x; i += nwarps) { + const int col_y_eff = dpct::min( + (unsigned int)(col_y_0 + item_ct1.get_local_id(1) + i), + ncols_y - 1); // to prevent out-of-bounds memory accesses + + const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd]; + + const int index_y = (item_ct1.get_local_id(1) + i) * WARP_SIZE + + kqs % WARP_SIZE; + tile_y_qs[index_y] = get_int_from_int8_aligned( + by0->qs, item_ct1.get_local_id(2) % QI8_1); + } + +#pragma unroll + for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) { + const int ids = + (ids0 + item_ct1.get_local_id(1) * QI8_1 + + item_ct1.get_local_id(2) / (WARP_SIZE / QI8_1)) % + mmq_x; + const int kby = item_ct1.get_local_id(2) % (WARP_SIZE / QI8_1); + const int col_y_eff = sycl::min(col_y_0 + ids, ncols_y - 1); + + // if the sum is not needed it's faster to transform the scale to f32 ahead of time + const sycl::half2 *dsi_src = + &y[col_y_eff * blocks_per_col_y + ib0 * (qk / QK8_1) + + ir * (WARP_SIZE / QI8_1) + kby] + .ds; + sycl::half2 *dsi_dst = + &tile_y_ds[ids * (WARP_SIZE / QI8_1) + kby]; + if (need_sum) { + *dsi_dst = *dsi_src; + } else { + float * dfi_dst = (float *) dsi_dst; + *dfi_dst = (*dsi_src)[0]; + } + } + + /* + DPCT1118:9: SYCL group functions and algorithms must be encountered + in converged control flow. You may need to adjust the code. + */ + /* + DPCT1065:56: Consider replacing sycl::nd_item::barrier() with + sycl::nd_item::barrier(sycl::access::fence_space::local_space) for + better performance if there is no access to global memory. + */ + item_ct1.barrier(); + +// #pragma unroll // unrolling this loop causes too much register pressure + for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) { +#pragma unroll + for (int j = 0; j < mmq_x; j += nwarps) { +#pragma unroll + for (int i = 0; i < mmq_y; i += WARP_SIZE) { + sum[i / WARP_SIZE][j / nwarps] += vec_dot( + tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, + tile_y_qs, tile_y_ds, item_ct1.get_local_id(2) + i, + item_ct1.get_local_id(1) + j, k); + } + } + } + + /* + DPCT1118:10: SYCL group functions and algorithms must be encountered + in converged control flow. You may need to adjust the code. + */ + /* + DPCT1065:57: Consider replacing sycl::nd_item::barrier() with + sycl::nd_item::barrier(sycl::access::fence_space::local_space) for + better performance if there is no access to global memory. + */ + item_ct1.barrier(); + } + } + +#pragma unroll + for (int j = 0; j < mmq_x; j += nwarps) { + const int col_dst = col_dst_0 + j + item_ct1.get_local_id(1); + + if (col_dst >= ncols_dst) { + return; + } + +#pragma unroll + for (int i = 0; i < mmq_y; i += WARP_SIZE) { + const int row_dst = row_dst_0 + item_ct1.get_local_id(2) + i; + + if (row_dst >= nrows_dst) { + continue; + } + + dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps]; + } + } +} + +#define MMQ_X_Q4_0_RDNA2 64 +#define MMQ_Y_Q4_0_RDNA2 128 +#define NWARPS_Q4_0_RDNA2 8 +#define MMQ_X_Q4_0_RDNA1 64 +#define MMQ_Y_Q4_0_RDNA1 64 +#define NWARPS_Q4_0_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q4_0_AMPERE 4 +#define MMQ_Y_Q4_0_AMPERE 32 +#define NWARPS_Q4_0_AMPERE 4 +#else +#define MMQ_X_Q4_0_AMPERE 64 +#define MMQ_Y_Q4_0_AMPERE 128 +#define NWARPS_Q4_0_AMPERE 4 +#endif +#define MMQ_X_Q4_0_PASCAL 64 +#define MMQ_Y_Q4_0_PASCAL 64 +#define NWARPS_Q4_0_PASCAL 8 + +template static void + mul_mat_q4_0( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_0, float *tile_x_d_q4_0, + int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + + const int mmq_x = MMQ_X_Q4_0_AMPERE; + const int mmq_y = MMQ_Y_Q4_0_AMPERE; + const int nwarps = NWARPS_Q4_0_AMPERE; + allocate_tiles_q4_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_qs_q4_0, tile_x_d_q4_0); + mul_mat_q, VDR_Q4_0_Q8_1_MMQ, + vec_dot_q4_0_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q4_1_RDNA2 64 +#define MMQ_Y_Q4_1_RDNA2 128 +#define NWARPS_Q4_1_RDNA2 8 +#define MMQ_X_Q4_1_RDNA1 64 +#define MMQ_Y_Q4_1_RDNA1 64 +#define NWARPS_Q4_1_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q4_1_AMPERE 4 +#define MMQ_Y_Q4_1_AMPERE 32 +#define NWARPS_Q4_1_AMPERE 4 +#else +#define MMQ_X_Q4_1_AMPERE 64 +#define MMQ_Y_Q4_1_AMPERE 128 +#define NWARPS_Q4_1_AMPERE 4 +#endif +#define MMQ_X_Q4_1_PASCAL 64 +#define MMQ_Y_Q4_1_PASCAL 64 +#define NWARPS_Q4_1_PASCAL 8 + +template static void + mul_mat_q4_1( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_1, + sycl::half2 *tile_x_dm_q4_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q4_1_AMPERE; + const int mmq_y = MMQ_Y_Q4_1_AMPERE; + const int nwarps = NWARPS_Q4_1_AMPERE; + allocate_tiles_q4_1(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_qs_q4_1, tile_x_dm_q4_1); + mul_mat_q, VDR_Q4_1_Q8_1_MMQ, + vec_dot_q4_1_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q5_0_RDNA2 64 +#define MMQ_Y_Q5_0_RDNA2 128 +#define NWARPS_Q5_0_RDNA2 8 +#define MMQ_X_Q5_0_RDNA1 64 +#define MMQ_Y_Q5_0_RDNA1 64 +#define NWARPS_Q5_0_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q5_0_AMPERE 4 +#define MMQ_Y_Q5_0_AMPERE 32 +#define NWARPS_Q5_0_AMPERE 4 +#else +#define MMQ_X_Q5_0_AMPERE 128 +#define MMQ_Y_Q5_0_AMPERE 64 +#define NWARPS_Q5_0_AMPERE 4 +#endif +#define MMQ_X_Q5_0_PASCAL 64 +#define MMQ_Y_Q5_0_PASCAL 64 +#define NWARPS_Q5_0_PASCAL 8 + +template static void + mul_mat_q5_0( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_0, float *tile_x_d_q5_0, + int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q5_0_AMPERE; + const int mmq_y = MMQ_Y_Q5_0_AMPERE; + const int nwarps = NWARPS_Q5_0_AMPERE; + allocate_tiles_q5_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q5_0, tile_x_d_q5_0); + mul_mat_q, VDR_Q5_0_Q8_1_MMQ, + vec_dot_q5_0_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q5_1_RDNA2 64 +#define MMQ_Y_Q5_1_RDNA2 128 +#define NWARPS_Q5_1_RDNA2 8 +#define MMQ_X_Q5_1_RDNA1 64 +#define MMQ_Y_Q5_1_RDNA1 64 +#define NWARPS_Q5_1_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q5_1_AMPERE 4 +#define MMQ_Y_Q5_1_AMPERE 32 +#define NWARPS_Q5_1_AMPERE 4 +#else +#define MMQ_X_Q5_1_AMPERE 128 +#define MMQ_Y_Q5_1_AMPERE 64 +#define NWARPS_Q5_1_AMPERE 4 +#endif +#define MMQ_X_Q5_1_PASCAL 64 +#define MMQ_Y_Q5_1_PASCAL 64 +#define NWARPS_Q5_1_PASCAL 8 + +template static void +mul_mat_q5_1( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_1, + sycl::half2 *tile_x_dm_q5_1, int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q5_1_AMPERE; + const int mmq_y = MMQ_Y_Q5_1_AMPERE; + const int nwarps = NWARPS_Q5_1_AMPERE; + allocate_tiles_q5_1(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q5_1, tile_x_dm_q5_1); + mul_mat_q, VDR_Q5_1_Q8_1_MMQ, + vec_dot_q5_1_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q8_0_RDNA2 64 +#define MMQ_Y_Q8_0_RDNA2 128 +#define NWARPS_Q8_0_RDNA2 8 +#define MMQ_X_Q8_0_RDNA1 64 +#define MMQ_Y_Q8_0_RDNA1 64 +#define NWARPS_Q8_0_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q8_0_AMPERE 4 +#define MMQ_Y_Q8_0_AMPERE 32 +#define NWARPS_Q8_0_AMPERE 4 +#else +#define MMQ_X_Q8_0_AMPERE 128 +#define MMQ_Y_Q8_0_AMPERE 64 +#define NWARPS_Q8_0_AMPERE 4 +#endif +#define MMQ_X_Q8_0_PASCAL 64 +#define MMQ_Y_Q8_0_PASCAL 64 +#define NWARPS_Q8_0_PASCAL 8 + +template static void + mul_mat_q8_0( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q8_0, float *tile_x_d_q8_0, + int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q8_0_AMPERE; + const int mmq_y = MMQ_Y_Q8_0_AMPERE; + const int nwarps = NWARPS_Q8_0_AMPERE; + allocate_tiles_q8_0(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_qs_q8_0, tile_x_d_q8_0); + mul_mat_q, VDR_Q8_0_Q8_1_MMQ, + vec_dot_q8_0_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q2_K_RDNA2 64 +#define MMQ_Y_Q2_K_RDNA2 128 +#define NWARPS_Q2_K_RDNA2 8 +#define MMQ_X_Q2_K_RDNA1 128 +#define MMQ_Y_Q2_K_RDNA1 32 +#define NWARPS_Q2_K_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q2_K_AMPERE 4 +#define MMQ_Y_Q2_K_AMPERE 32 +#define NWARPS_Q2_K_AMPERE 4 +#else +#define MMQ_X_Q2_K_AMPERE 64 +#define MMQ_Y_Q2_K_AMPERE 128 +#define NWARPS_Q2_K_AMPERE 4 +#endif +#define MMQ_X_Q2_K_PASCAL 64 +#define MMQ_Y_Q2_K_PASCAL 64 +#define NWARPS_Q2_K_PASCAL 8 + +template static void +mul_mat_q2_K( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q2_K, + sycl::half2 *tile_x_dm_q2_K, int *tile_x_sc_q2_K, int *tile_y_qs, + sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q2_K_AMPERE; + const int mmq_y = MMQ_Y_Q2_K_AMPERE; + const int nwarps = NWARPS_Q2_K_AMPERE; + allocate_tiles_q2_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q2_K, tile_x_dm_q2_K, tile_x_sc_q2_K); + mul_mat_q, VDR_Q2_K_Q8_1_MMQ, + vec_dot_q2_K_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q3_K_RDNA2 128 +#define MMQ_Y_Q3_K_RDNA2 64 +#define NWARPS_Q3_K_RDNA2 8 +#define MMQ_X_Q3_K_RDNA1 32 +#define MMQ_Y_Q3_K_RDNA1 128 +#define NWARPS_Q3_K_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q3_K_AMPERE 4 +#define MMQ_Y_Q3_K_AMPERE 32 +#define NWARPS_Q3_K_AMPERE 4 +#else +#define MMQ_X_Q3_K_AMPERE 128 +#define MMQ_Y_Q3_K_AMPERE 128 +#define NWARPS_Q3_K_AMPERE 4 +#endif +#define MMQ_X_Q3_K_PASCAL 64 +#define MMQ_Y_Q3_K_PASCAL 64 +#define NWARPS_Q3_K_PASCAL 8 + +template static void +mul_mat_q3_K( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q3_K, + sycl::half2 *tile_x_dm_q3_K, int *tile_x_qh_q3_K, int *tile_x_sc_q3_K, + int *tile_y_qs, sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q3_K_AMPERE; + const int mmq_y = MMQ_Y_Q3_K_AMPERE; + const int nwarps = NWARPS_Q3_K_AMPERE; + allocate_tiles_q3_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q3_K, tile_x_dm_q3_K, tile_x_qh_q3_K, + tile_x_sc_q3_K); + mul_mat_q, VDR_Q3_K_Q8_1_MMQ, + vec_dot_q3_K_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q4_K_RDNA2 64 +#define MMQ_Y_Q4_K_RDNA2 128 +#define NWARPS_Q4_K_RDNA2 8 +#define MMQ_X_Q4_K_RDNA1 32 +#define MMQ_Y_Q4_K_RDNA1 64 +#define NWARPS_Q4_K_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q4_K_AMPERE 4 +#define MMQ_Y_Q4_K_AMPERE 32 +#define NWARPS_Q4_K_AMPERE 4 +#else +#define MMQ_X_Q4_K_AMPERE 64 +#define MMQ_Y_Q4_K_AMPERE 128 +#define NWARPS_Q4_K_AMPERE 4 +#endif +#define MMQ_X_Q4_K_PASCAL 64 +#define MMQ_Y_Q4_K_PASCAL 64 +#define NWARPS_Q4_K_PASCAL 8 + +template static void + mul_mat_q4_K( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q4_K, + sycl::half2 *tile_x_dm_q4_K, int *tile_x_sc_q4_K, int *tile_y_qs, + sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q4_K_AMPERE; + const int mmq_y = MMQ_Y_Q4_K_AMPERE; + const int nwarps = NWARPS_Q4_K_AMPERE; + allocate_tiles_q4_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q4_K, tile_x_dm_q4_K, tile_x_sc_q4_K); + mul_mat_q, VDR_Q4_K_Q8_1_MMQ, + vec_dot_q4_K_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q5_K_RDNA2 64 +#define MMQ_Y_Q5_K_RDNA2 128 +#define NWARPS_Q5_K_RDNA2 8 +#define MMQ_X_Q5_K_RDNA1 32 +#define MMQ_Y_Q5_K_RDNA1 64 +#define NWARPS_Q5_K_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q5_K_AMPERE 4 +#define MMQ_Y_Q5_K_AMPERE 32 +#define NWARPS_Q5_K_AMPERE 4 +#else +#define MMQ_X_Q5_K_AMPERE 64 +#define MMQ_Y_Q5_K_AMPERE 128 +#define NWARPS_Q5_K_AMPERE 4 +#endif +#define MMQ_X_Q5_K_PASCAL 64 +#define MMQ_Y_Q5_K_PASCAL 64 +#define NWARPS_Q5_K_PASCAL 8 + +template static void +mul_mat_q5_K( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_K, + sycl::half2 *tile_x_dm_q5_K, int *tile_x_sc_q5_K, int *tile_y_qs, + sycl::half2 *tile_y_ds) { + int * tile_x_ql = nullptr; + sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q5_K_AMPERE; + const int mmq_y = MMQ_Y_Q5_K_AMPERE; + const int nwarps = NWARPS_Q5_K_AMPERE; + allocate_tiles_q5_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql_q5_K, tile_x_dm_q5_K, tile_x_sc_q5_K); + mul_mat_q, VDR_Q5_K_Q8_1_MMQ, + vec_dot_q5_K_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +#define MMQ_X_Q6_K_RDNA2 64 +#define MMQ_Y_Q6_K_RDNA2 128 +#define NWARPS_Q6_K_RDNA2 8 +#define MMQ_X_Q6_K_RDNA1 32 +#define MMQ_Y_Q6_K_RDNA1 64 +#define NWARPS_Q6_K_RDNA1 8 +#if defined(SYCL_USE_XMX) +#define MMQ_X_Q6_K_AMPERE 4 +#define MMQ_Y_Q6_K_AMPERE 32 +#define NWARPS_Q6_K_AMPERE 4 +#else +#define MMQ_X_Q6_K_AMPERE 64 +#define MMQ_Y_Q6_K_AMPERE 64 +#define NWARPS_Q6_K_AMPERE 4 +#endif +#define MMQ_X_Q6_K_PASCAL 64 +#define MMQ_Y_Q6_K_PASCAL 64 +#define NWARPS_Q6_K_PASCAL 8 + +template static void + mul_mat_q6_K( + const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, + const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst, + const sycl::nd_item<3> &item_ct1, int *tile_x_ql, sycl::half2 *tile_x_dm, + int *tile_x_sc, int *tile_y_qs, sycl::half2 *tile_y_ds) { + // int * tile_x_ql = nullptr; + // sycl::half2 *tile_x_dm = nullptr; + int * tile_x_qh = nullptr; + // int * tile_x_sc = nullptr; + +//sycl_todo: change according to hardware + const int mmq_x = MMQ_X_Q6_K_AMPERE; + const int mmq_y = MMQ_Y_Q6_K_AMPERE; + const int nwarps = NWARPS_Q6_K_AMPERE; + allocate_tiles_q6_K(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc, + tile_x_ql, tile_x_dm, tile_x_sc); + mul_mat_q, VDR_Q6_K_Q8_1_MMQ, + vec_dot_q6_K_q8_1_mul_mat>( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql, + tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds); +} + +static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q4_0_RDNA2; + mmq_y = MMQ_Y_Q4_0_RDNA2; + nwarps = NWARPS_Q4_0_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q4_0_RDNA1; + mmq_y = MMQ_Y_Q4_0_RDNA1; + nwarps = NWARPS_Q4_0_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q4_0_AMPERE; + mmq_y = MMQ_Y_Q4_0_AMPERE; + nwarps = NWARPS_Q4_0_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q4_0_PASCAL; + mmq_y = MMQ_Y_Q4_0_PASCAL; + nwarps = NWARPS_Q4_0_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:20: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q4_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q4_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q4_0_acc_ct1.get_pointer(), + tile_x_d_q4_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:21: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q4_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q4_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q4_0_acc_ct1.get_pointer(), + tile_x_d_q4_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q4_1_RDNA2; + mmq_y = MMQ_Y_Q4_1_RDNA2; + nwarps = NWARPS_Q4_1_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q4_1_RDNA1; + mmq_y = MMQ_Y_Q4_1_RDNA1; + nwarps = NWARPS_Q4_1_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q4_1_AMPERE; + mmq_y = MMQ_Y_Q4_1_AMPERE; + nwarps = NWARPS_Q4_1_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q4_1_PASCAL; + mmq_y = MMQ_Y_Q4_1_PASCAL; + nwarps = NWARPS_Q4_1_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:22: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q4_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); + sycl::local_accessor tile_x_dm_q4_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_1( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q4_1_acc_ct1.get_pointer(), + tile_x_dm_q4_1_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:23: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q4_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh); + sycl::local_accessor tile_x_dm_q4_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_1( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q4_1_acc_ct1.get_pointer(), + tile_x_dm_q4_1_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q5_0_RDNA2; + mmq_y = MMQ_Y_Q5_0_RDNA2; + nwarps = NWARPS_Q5_0_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q5_0_RDNA1; + mmq_y = MMQ_Y_Q5_0_RDNA1; + nwarps = NWARPS_Q5_0_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q5_0_AMPERE; + mmq_y = MMQ_Y_Q5_0_AMPERE; + nwarps = NWARPS_Q5_0_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q5_0_PASCAL; + mmq_y = MMQ_Y_Q5_0_PASCAL; + nwarps = NWARPS_Q5_0_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:24: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_0_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q5_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_0_acc_ct1.get_pointer(), + tile_x_d_q5_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:25: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_0_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q5_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_0_acc_ct1.get_pointer(), + tile_x_d_q5_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q5_1_RDNA2; + mmq_y = MMQ_Y_Q5_1_RDNA2; + nwarps = NWARPS_Q5_1_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q5_1_RDNA1; + mmq_y = MMQ_Y_Q5_1_RDNA1; + nwarps = NWARPS_Q5_1_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q5_1_AMPERE; + mmq_y = MMQ_Y_Q5_1_AMPERE; + nwarps = NWARPS_Q5_1_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q5_1_PASCAL; + mmq_y = MMQ_Y_Q5_1_PASCAL; + nwarps = NWARPS_Q5_1_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:26: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_1_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q5_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_1( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_1_acc_ct1.get_pointer(), + tile_x_dm_q5_1_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:27: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_1_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q5_1_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_1( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_1_acc_ct1.get_pointer(), + tile_x_dm_q5_1_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q8_0_RDNA2; + mmq_y = MMQ_Y_Q8_0_RDNA2; + nwarps = NWARPS_Q8_0_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q8_0_RDNA1; + mmq_y = MMQ_Y_Q8_0_RDNA1; + nwarps = NWARPS_Q8_0_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q8_0_AMPERE; + mmq_y = MMQ_Y_Q8_0_AMPERE; + nwarps = NWARPS_Q8_0_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q8_0_PASCAL; + mmq_y = MMQ_Y_Q8_0_PASCAL; + nwarps = NWARPS_Q8_0_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:28: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q8_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q8_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q8_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q8_0_acc_ct1.get_pointer(), + tile_x_d_q8_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:29: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_qs_q8_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_d_q8_0_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0), + cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q8_0( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_qs_q8_0_acc_ct1.get_pointer(), + tile_x_d_q8_0_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q2_K_RDNA2; + mmq_y = MMQ_Y_Q2_K_RDNA2; + nwarps = NWARPS_Q2_K_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q2_K_RDNA1; + mmq_y = MMQ_Y_Q2_K_RDNA1; + nwarps = NWARPS_Q2_K_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q2_K_AMPERE; + mmq_y = MMQ_Y_Q2_K_AMPERE; + nwarps = NWARPS_Q2_K_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q2_K_PASCAL; + mmq_y = MMQ_Y_Q2_K_PASCAL; + nwarps = NWARPS_Q2_K_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:30: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), + cgh); + sycl::local_accessor tile_x_sc_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q2_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q2_K_acc_ct1.get_pointer(), + tile_x_dm_q2_K_acc_ct1.get_pointer(), + tile_x_sc_q2_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:31: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K), + cgh); + sycl::local_accessor tile_x_sc_q2_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q2_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q2_K_acc_ct1.get_pointer(), + tile_x_dm_q2_K_acc_ct1.get_pointer(), + tile_x_sc_q2_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + +#if QK_K == 256 + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q3_K_RDNA2; + mmq_y = MMQ_Y_Q3_K_RDNA2; + nwarps = NWARPS_Q3_K_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q3_K_RDNA1; + mmq_y = MMQ_Y_Q3_K_RDNA1; + nwarps = NWARPS_Q3_K_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q3_K_AMPERE; + mmq_y = MMQ_Y_Q3_K_AMPERE; + nwarps = NWARPS_Q3_K_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q3_K_PASCAL; + mmq_y = MMQ_Y_Q3_K_PASCAL; + nwarps = NWARPS_Q3_K_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:32: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), + cgh); + sycl::local_accessor tile_x_qh_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); + sycl::local_accessor tile_x_sc_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q3_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q3_K_acc_ct1.get_pointer(), + tile_x_dm_q3_K_acc_ct1.get_pointer(), + tile_x_qh_q3_K_acc_ct1.get_pointer(), + tile_x_sc_q3_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:33: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K), + cgh); + sycl::local_accessor tile_x_qh_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh); + sycl::local_accessor tile_x_sc_q3_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q3_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q3_K_acc_ct1.get_pointer(), + tile_x_dm_q3_K_acc_ct1.get_pointer(), + tile_x_qh_q3_K_acc_ct1.get_pointer(), + tile_x_sc_q3_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +#endif +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q4_K_RDNA2; + mmq_y = MMQ_Y_Q4_K_RDNA2; + nwarps = NWARPS_Q4_K_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q4_K_RDNA1; + mmq_y = MMQ_Y_Q4_K_RDNA1; + nwarps = NWARPS_Q4_K_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q4_K_AMPERE; + mmq_y = MMQ_Y_Q4_K_AMPERE; + nwarps = NWARPS_Q4_K_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q4_K_PASCAL; + mmq_y = MMQ_Y_Q4_K_PASCAL; + nwarps = NWARPS_Q4_K_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:34: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), + cgh); + sycl::local_accessor tile_x_sc_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q4_K_acc_ct1.get_pointer(), + tile_x_dm_q4_K_acc_ct1.get_pointer(), + tile_x_sc_q4_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:35: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K), + cgh); + sycl::local_accessor tile_x_sc_q4_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q4_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q4_K_acc_ct1.get_pointer(), + tile_x_dm_q4_K_acc_ct1.get_pointer(), + tile_x_sc_q4_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q5_K_RDNA2; + mmq_y = MMQ_Y_Q5_K_RDNA2; + nwarps = NWARPS_Q5_K_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q5_K_RDNA1; + mmq_y = MMQ_Y_Q5_K_RDNA1; + nwarps = NWARPS_Q5_K_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q5_K_AMPERE; + mmq_y = MMQ_Y_Q5_K_AMPERE; + nwarps = NWARPS_Q5_K_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q5_K_PASCAL; + mmq_y = MMQ_Y_Q5_K_PASCAL; + nwarps = NWARPS_Q5_K_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:36: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), + cgh); + sycl::local_accessor tile_x_sc_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_K_acc_ct1.get_pointer(), + tile_x_dm_q5_K_acc_ct1.get_pointer(), + tile_x_sc_q5_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:37: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K), + cgh); + sycl::local_accessor tile_x_sc_q5_K_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q5_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_q5_K_acc_ct1.get_pointer(), + tile_x_dm_q5_K_acc_ct1.get_pointer(), + tile_x_sc_q5_K_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols_x, + const int nrows_x, const int ncols_y, + const int nrows_y, const int nrows_dst, + dpct::queue_ptr stream) try { + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + const int compute_capability = ggml_sycl_info().devices[id].cc; + + int mmq_x, mmq_y, nwarps; + if (compute_capability >= VER_GEN13) { + mmq_x = MMQ_X_Q6_K_RDNA2; + mmq_y = MMQ_Y_Q6_K_RDNA2; + nwarps = NWARPS_Q6_K_RDNA2; + } else if (compute_capability >= VER_GEN12) { + mmq_x = MMQ_X_Q6_K_RDNA1; + mmq_y = MMQ_Y_Q6_K_RDNA1; + nwarps = NWARPS_Q6_K_RDNA1; + } else if (compute_capability >= VER_GEN9) { + mmq_x = MMQ_X_Q6_K_AMPERE; + mmq_y = MMQ_Y_Q6_K_AMPERE; + nwarps = NWARPS_Q6_K_AMPERE; + } else if (compute_capability >= VER_4VEC) { + mmq_x = MMQ_X_Q6_K_PASCAL; + mmq_y = MMQ_Y_Q6_K_PASCAL; + nwarps = NWARPS_Q6_K_PASCAL; + } else { + GGML_ASSERT(false); + } + + const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y; + const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x; + const sycl::range<3> block_nums(1, block_num_y, block_num_x); + const sycl::range<3> block_dims(1, nwarps, WARP_SIZE); + + if (nrows_x % mmq_y == 0) { + const bool need_check = false; + /* + DPCT1049:38: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), + cgh); + sycl::local_accessor tile_x_sc_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q6_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_acc_ct1.get_pointer(), + tile_x_dm_acc_ct1.get_pointer(), + tile_x_sc_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } else { + const bool need_check = true; + /* + DPCT1049:39: The work-group size passed to the SYCL kernel may exceed + the limit. To get the device limit, query + info::device::max_work_group_size. Adjust the work-group size if needed. + */ + { + dpct::has_capability_or_fail(stream->get_device(), + {sycl::aspect::fp16}); + + stream->submit([&](sycl::handler &cgh) { + sycl::local_accessor tile_x_ql_acc_ct1( + sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh); + sycl::local_accessor tile_x_dm_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K), + cgh); + sycl::local_accessor tile_x_sc_acc_ct1( + sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh); + sycl::local_accessor tile_y_qs_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE), cgh); + sycl::local_accessor tile_y_ds_acc_ct1( + sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh); + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) { + mul_mat_q6_K( + vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, + nrows_dst, item_ct1, + tile_x_ql_acc_ct1.get_pointer(), + tile_x_dm_acc_ct1.get_pointer(), + tile_x_sc_acc_ct1.get_pointer(), + tile_y_qs_acc_ct1.get_pointer(), + tile_y_ds_acc_ct1.get_pointer()); + }); + }); + } + } +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +void ggml_sycl_op_mul_mat_q( + ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, + float *dst_dd_i, const int64_t row_low, const int64_t row_high, + const int64_t src1_ncols, const int64_t src1_padded_row_size, + const dpct::queue_ptr &stream) try { + + const int64_t ne00 = src0->ne[0]; + + const int64_t ne10 = src1->ne[0]; + GGML_ASSERT(ne10 % QK8_1 == 0); + + const int64_t ne0 = dst->ne[0]; + + const int64_t row_diff = row_high - row_low; + + int device_id; + SYCL_CHECK( + CHECK_TRY_ERROR(device_id = get_current_device_id())); + + // the main device has a larger memory buffer to hold the results from all GPUs + // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into + const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff; + + switch (src0->type) { + case GGML_TYPE_Q4_0: + ggml_mul_mat_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q4_1: + ggml_mul_mat_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q5_0: + ggml_mul_mat_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q5_1: + ggml_mul_mat_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q8_0: + ggml_mul_mat_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q2_K: + ggml_mul_mat_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q3_K: + ggml_mul_mat_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q4_K: + ggml_mul_mat_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q5_K: + ggml_mul_mat_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + case GGML_TYPE_Q6_K: + ggml_mul_mat_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream); + break; + default: + GGML_ASSERT(false); + break; + } + + (void) src1; + (void) dst; + (void) src1_ddf_i; +} +catch (sycl::exception const &exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} diff --git a/ggml-sycl/mmq.hpp b/ggml-sycl/mmq.hpp new file mode 100644 index 000000000..3f5297aaa --- /dev/null +++ b/ggml-sycl/mmq.hpp @@ -0,0 +1,33 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_MMQ_HPP +#define GGML_SYCL_MMQ_HPP + +#include "common.hpp" + +void ggml_sycl_op_mul_mat_q( + ggml_backend_sycl_context & ctx, + const ggml_tensor* src0, + const ggml_tensor* src1, + ggml_tensor* dst, + const char* src0_dd_i, + const float* src1_ddf_i, + const char* src1_ddq_i, + float* dst_dd_i, + const int64_t row_low, + const int64_t row_high, + const int64_t src1_ncols, + const int64_t src1_padded_row_size, + const dpct::queue_ptr& stream); + +#endif // GGML_SYCL_MMQ_HPP diff --git a/ggml-sycl/mmvq.cpp b/ggml-sycl/mmvq.cpp new file mode 100644 index 000000000..23227649e --- /dev/null +++ b/ggml-sycl/mmvq.cpp @@ -0,0 +1,1024 @@ +#include "mmvq.hpp" +#include "vecdotq.hpp" + + +template +static void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq2_xxs_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq2_xxs_q8_1(&x[ibx], &y[iby], iqs, iq2xxs_grid, ksigns_iq2xs, kmask_iq2xs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq2_xs_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq2_xs_q8_1(&x[ibx], &y[iby], iqs, iq2xs_grid, ksigns64); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq2_s_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq2_s_q8_1(&x[ibx], &y[iby], iqs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq3_xxs_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq3_xxs_q8_1(&x[ibx], &y[iby], iqs, iq3xxs_grid, ksigns64); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq3_s_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq1_s_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_gpu); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq1_m_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq1_m_q8_1(&x[ibx], &y[iby], iqs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +template +static void mul_mat_vec_q_iq4_nl_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq4_nl_q8_1(&x[ibx], &y[iby], iqs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + + +template +static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx, + const void *__restrict__ vy, + float *__restrict__ dst, const int ncols, + const int nrows, + const sycl::nd_item<3> &item_ct1) { + const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + + item_ct1.get_local_id(1); + + if (row >= nrows) { + return; + } + + const int blocks_per_row = ncols / qk; + const int blocks_per_warp = vdr * WARP_SIZE / qi; + +// partial sum for each thread + float tmp = 0.0f; + + const block_q_t * x = (const block_q_t *) vx; + const block_q8_1 * y = (const block_q8_1 *) vy; + + for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; + i += blocks_per_warp) { + const int ibx = row*blocks_per_row + i; // x block index + + const int iby = i * (qk/QK8_1); // y block index that aligns with ibx + + const int iqs = + vdr * + (item_ct1.get_local_id(2) % + (qi / vdr)); // x block quant index when casting the quants to int + + tmp += vec_dot_iq4_xs_q8_1(&x[ibx], &y[iby], iqs); + } + + // sum up partial sums and write back result +#pragma unroll + for (int mask = 16; mask > 0; mask >>= 1) { + tmp += + dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask); + } + + if (item_ct1.get_local_id(2) == 0) { + dst[row] = tmp; + } +} + +static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK4_0 == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK4_1 == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK5_0 == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK5_1 == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK8_0 == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + + +static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq2_xxs_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; + auto ksigns64_ptr_ct1 = &ksigns64[0]; + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq2_xs_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0]; + auto ksigns64_ptr_ct1 = &ksigns64[0]; + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq2_s_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + auto iq3xxs_grid_ptr_ct1 = &iq3xxs_grid[0]; + auto ksigns64_ptr_ct1 = &ksigns64[0]; + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq3_xxs_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + auto iq3s_grid_ptr_ct1 = &iq3s_grid[0]; + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq3_s_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + auto iq1s_grid_ptr_ct1 = &iq1s_grid_gpu[0]; + auto ksigns64_ptr_ct1 = &ksigns64[0]; + + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq1_s_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq1_m_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK4_NL == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq4_nl_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy, + float *dst, const int ncols, + const int nrows, + dpct::queue_ptr stream) { + GGML_ASSERT(ncols % QK_K == 0); + const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y; + const sycl::range<3> block_nums(1, 1, block_num_y); + const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE); + { + + stream->submit([&](sycl::handler &cgh) { + cgh.parallel_for( + sycl::nd_range<3>(block_nums * block_dims, block_dims), + [=](sycl::nd_item<3> item_ct1) + [[intel::reqd_sub_group_size(32)]] { + mul_mat_vec_q_iq4_xs_q8_1( + vx, vy, dst, ncols, nrows, item_ct1); + }); + }); + } +} + +void ggml_sycl_op_mul_mat_vec_q( + ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, + float *dst_dd_i, const int64_t row_low, const int64_t row_high, + const int64_t src1_ncols, const int64_t src1_padded_row_size, + const dpct::queue_ptr &stream) { + + const int64_t ne10 = src1->ne[0]; + GGML_ASSERT(ne10 % QK8_1 == 0); + + const int64_t ne00 = src0->ne[0]; + const int64_t row_diff = row_high - row_low; + + int id; + SYCL_CHECK( + CHECK_TRY_ERROR(id = get_current_device_id())); + + // the main device has a larger memory buffer to hold the results from all GPUs + // nrows_dst == nrows of the matrix that the kernel writes into + const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff; + + switch (src0->type) { + case GGML_TYPE_Q4_0: + mul_mat_vec_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q4_1: + mul_mat_vec_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_0: + mul_mat_vec_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_1: + mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q8_0: + mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q2_K: + mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q3_K: + mul_mat_vec_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q4_K: + mul_mat_vec_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q5_K: + mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_Q6_K: + mul_mat_vec_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ1_S: + mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ1_M: + mul_mat_vec_iq1_m_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ2_XXS: + mul_mat_vec_iq2_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ2_XS: + mul_mat_vec_iq2_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ2_S: + mul_mat_vec_iq2_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ3_XXS: + mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ3_S: + mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ4_NL: + mul_mat_vec_iq4_nl_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + case GGML_TYPE_IQ4_XS: + mul_mat_vec_iq4_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream); + break; + default: + GGML_ASSERT(false); + break; + } + + (void) src1; + (void) dst; + (void) src1_ddf_i; + (void) src1_ncols; + (void) src1_padded_row_size; +} diff --git a/ggml-sycl/mmvq.hpp b/ggml-sycl/mmvq.hpp new file mode 100644 index 000000000..049b43d45 --- /dev/null +++ b/ggml-sycl/mmvq.hpp @@ -0,0 +1,27 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_MMVQ_HPP +#define GGML_SYCL_MMVQ_HPP + +#include "common.hpp" + + +void ggml_sycl_op_mul_mat_vec_q( + ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i, + float *dst_dd_i, const int64_t row_low, const int64_t row_high, + const int64_t src1_ncols, const int64_t src1_padded_row_size, + const dpct::queue_ptr &stream); + +#endif // GGML_SYCL_MMVQ_HPP diff --git a/ggml-sycl/presets.hpp b/ggml-sycl/presets.hpp index dcf026110..5e6b61813 100644 --- a/ggml-sycl/presets.hpp +++ b/ggml-sycl/presets.hpp @@ -18,8 +18,6 @@ #define GGML_SYCL_MAX_DEVICES 48 #define GGML_SYCL_NAME "SYCL" -// FIXME: 1024 from cuda -#define GROUP_SIZE 1024 #define WARP_SIZE 32 #define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses diff --git a/ggml-sycl/vecdotq.hpp b/ggml-sycl/vecdotq.hpp new file mode 100644 index 000000000..5e2e82546 --- /dev/null +++ b/ggml-sycl/vecdotq.hpp @@ -0,0 +1,1161 @@ +// +// MIT license +// Copyright (C) 2024 Intel Corporation +// SPDX-License-Identifier: MIT +// + +// +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. +// See https://llvm.org/LICENSE.txt for license information. +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception +// + +#ifndef GGML_SYCL_VECDOTQ_HPP +#define GGML_SYCL_VECDOTQ_HPP + +#include "dpct/helper.hpp" + +typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs); + +static __dpct_inline__ int get_int_from_int8(const int8_t* x8, const int& i32) { + const uint16_t* x16 = + (const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte + // alignment + + int x32 = 0; + x32 |= x16[0] << 0; + x32 |= x16[1] << 16; + + return x32; +} + +static __dpct_inline__ int get_int_from_uint8( + const uint8_t* x8, + const int& i32) { + const uint16_t* x16 = + (const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte + // alignment + + int x32 = 0; + x32 |= x16[0] << 0; + x32 |= x16[1] << 16; + + return x32; +} + +static __dpct_inline__ int get_int_from_int8_aligned( + const int8_t* x8, + const int& i32) { + return *( + (const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment +} + +static __dpct_inline__ int get_int_from_uint8_aligned( + const uint8_t* x8, + const int& i32) { + return *( + (const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment +} + +static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4, + const uint8_t *values, + int &val1, int &val2) { + + uint32_t aux32; const uint8_t * q8 = (const uint8_t *)&aux32; + aux32 = q4 & 0x0f0f0f0f; + uint16_t v1 = values[q8[0]] | (values[q8[1]] << 8); + uint16_t v2 = values[q8[2]] | (values[q8[3]] << 8); + val1 = v1 | (v2 << 16); + aux32 = (q4 >> 4) & 0x0f0f0f0f; + v1 = values[q8[0]] | (values[q8[1]] << 8); + v2 = values[q8[2]] | (values[q8[3]] << 8); + val2 = v1 | (v2 << 16); +} + +#define VDR_Q2_K_Q8_1_MMVQ 1 + +// contiguous v/x values +static __dpct_inline__ float vec_dot_q2_K_q8_1_impl_mmvq( + const int &v, const int *__restrict__ u, const uint8_t *__restrict__ scales, + const sycl::half2 &dm2, const float *__restrict__ d8) { + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + +#pragma unroll + for (int i = 0; i < QR2_K; ++i) { + const int sc = scales[2*i]; + + const int vi = (v >> (2*i)) & 0x03030303; + + sumf_d += + d8[i] * (dpct::dp4a(vi, u[i], 0) * (sc & 0xF)); // SIMD dot product + + // fill int with 4x m + int m = sc >> 4; + m |= m << 8; + m |= m << 16; + sumf_m += d8[i] * + dpct::dp4a( + m, u[i], + 0); // multiply constant q2_K part with sum of q8_1 values + } + + const sycl::float2 dm2f = + dm2.convert(); + + return dm2f.x() * sumf_d - dm2f.y() * sumf_m; +} + + +#define VDR_Q3_K_Q8_1_MMVQ 1 + +// contiguous v/x values +static __dpct_inline__ float vec_dot_q3_K_q8_1_impl_mmvq( + const int &vl, const int &vh, const int *__restrict__ u, + const uint8_t *__restrict__ scales, const int &scale_offset, + const float &d3, const float *__restrict__ d8) { + + float sumf = 0.0f; + +#pragma unroll + for (int i = 0; i < QR3_K; ++i) { + const int isc = scale_offset + 2*i; + + const int isc_low = isc % (QK_K/32); + const int sc_shift_low = 4 * (isc / (QK_K/32)); + const int sc_low = (scales[isc_low] >> sc_shift_low) & 0xF; + + const int isc_high = isc % (QK_K/64); + const int sc_shift_high = 2 * (isc / (QK_K/64)); + const int sc_high = ((scales[(QK_K/32) + isc_high] >> sc_shift_high) & 3) << 4; + + const int sc = (sc_low | sc_high) - 32; + + const int vil = (vl >> (2*i)) & 0x03030303; + + const int vih = ((vh >> i) << 2) & 0x04040404; + + const int vi = + dpct::vectorized_binary(vil, vih, dpct::sub_sat()); + + sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product + } + + return d3 * sumf; +} + +#define VDR_Q4_K_Q8_1_MMVQ 2 + +// contiguous v/x values +static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_vmmq( + const int *__restrict__ v, const int *__restrict__ u, + const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m, + const sycl::half2 &dm4, const float *__restrict__ d8) { + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + +#pragma unroll + for (int i = 0; i < QR4_K; ++i) { + const int v0i = (v[0] >> (4*i)) & 0x0F0F0F0F; + const int v1i = (v[1] >> (4*i)) & 0x0F0F0F0F; + + const int dot1 = + dpct::dp4a(v1i, u[2 * i + 1], + dpct::dp4a(v0i, u[2 * i + 0], 0)); // SIMD dot product + const int dot2 = + dpct::dp4a(0x01010101, u[2 * i + 1], + dpct::dp4a(0x01010101, u[2 * i + 0], 0)); // sum of u + + sumf_d += d8[i] * (dot1 * sc[i]); + sumf_m += d8[i] * (dot2 * m[i]); // multiply constant part of q4_K with sum of q8_1 values + } + + const sycl::float2 dm4f = + dm4.convert(); + + return dm4f.x() * sumf_d - dm4f.y() * sumf_m; +} + + +#define VDR_Q5_K_Q8_1_MMVQ 2 + +// contiguous v/x values +static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_vmmq( + const int *__restrict__ vl, const int *__restrict__ vh, + const int *__restrict__ u, const uint8_t *__restrict__ sc, + const uint8_t *__restrict__ m, const sycl::half2 &dm5, + const float *__restrict__ d8) { + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + +#pragma unroll + for (int i = 0; i < QR5_K; ++i) { + const int vl0i = (vl[0] >> (4*i)) & 0x0F0F0F0F; + const int vl1i = (vl[1] >> (4*i)) & 0x0F0F0F0F; + + const int vh0i = ((vh[0] >> i) << 4) & 0x10101010; + const int vh1i = ((vh[1] >> i) << 4) & 0x10101010; + + const int v0i = vl0i | vh0i; + const int v1i = vl1i | vh1i; + + const int dot1 = + dpct::dp4a(v0i, u[2 * i + 0], + dpct::dp4a(v1i, u[2 * i + 1], 0)); // SIMD dot product + const int dot2 = + dpct::dp4a(0x01010101, u[2 * i + 0], + dpct::dp4a(0x01010101, u[2 * i + 1], 0)); // sum of u + + sumf_d += d8[i] * (dot1 * sc[i]); + sumf_m += d8[i] * (dot2 * m[i]); + + } + + const sycl::float2 dm5f = + dm5.convert(); + + return dm5f.x() * sumf_d - dm5f.y() * sumf_m; +} + + +#define VDR_Q6_K_Q8_1_MMVQ 1 + +// contiguous v/x values +static __dpct_inline__ float +vec_dot_q6_K_q8_1_impl_mmvq(const int &vl, const int &vh, + const int *__restrict__ u, + const int8_t *__restrict__ scales, const float &d, + const float *__restrict__ d8) { + + float sumf = 0.0f; + +#pragma unroll + for (int i = 0; i < QR6_K; ++i) { + const int sc = scales[4*i]; + + const int vil = (vl >> (4*i)) & 0x0F0F0F0F; + + const int vih = ((vh >> (4*i)) << 4) & 0x30303030; + + const int vi = dpct::vectorized_binary( + (vil | vih), 0x20202020, dpct::sub_sat()); // vi = (vil | vih) - 32 + + sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product + } + + return d*sumf; +} + +// VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called +// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q + +#define VDR_Q4_0_Q8_1_MMVQ 2 +#define VDR_Q4_0_Q8_1_MMQ 4 + +template +static __dpct_inline__ float vec_dot_q4_0_q8_1_impl(const int *v, const int *u, + const float &d4, + const sycl::half2 &ds8) { + int sumi = 0; +#pragma unroll + for (int i = 0; i < vdr; ++i) { + const int vi0 = (v[i] >> 0) & 0x0F0F0F0F; + const int vi1 = (v[i] >> 4) & 0x0F0F0F0F; + + // SIMD dot product of quantized values + sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi); + sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi); + } + + const sycl::float2 ds8f = + ds8.convert(); + + // second part effectively subtracts 8 from each quant value + return d4 * (sumi * ds8f.x() - (8 * vdr / QI4_0) * ds8f.y()); +} + +#define VDR_Q4_1_Q8_1_MMVQ 2 +#define VDR_Q4_1_Q8_1_MMQ 4 + +template +static __dpct_inline__ float vec_dot_q4_1_q8_1_impl(const int *v, const int *u, + const sycl::half2 &dm4, + const sycl::half2 &ds8) { + + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + const int vi0 = (v[i] >> 0) & 0x0F0F0F0F; + const int vi1 = (v[i] >> 4) & 0x0F0F0F0F; + + // SIMD dot product of quantized values + sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi); + sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi); + } + +#ifdef GGML_SYCL_F16 + const sycl::float2 tmp = + (dm4 * ds8).convert(); + const float d4d8 = tmp.x(); + const float m4s8 = tmp.y(); +#else + const sycl::float2 dm4f = + dm4.convert(); + const sycl::float2 ds8f = + ds8.convert(); + const float d4d8 = dm4f.x() * ds8f.x(); + const float m4s8 = dm4f.y() * ds8f.y(); +#endif // GGML_SYCL_F16 + + // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it + return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1)); +} + +#define VDR_Q5_0_Q8_1_MMVQ 2 +#define VDR_Q5_0_Q8_1_MMQ 4 + +template +static __dpct_inline__ float +vec_dot_q5_0_q8_1_impl(const int *vl, const int *vh, const int *u, + const float &d5, const sycl::half2 &ds8) { + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits + vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4 + vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12 + vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20 + vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28 + sumi = dpct::dp4a(vi0, u[2 * i + 0], + sumi); // SIMD dot product of quantized values + + int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits + vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4 + vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12 + vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20 + vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28 + sumi = dpct::dp4a(vi1, u[2 * i + 1], + sumi); // SIMD dot product of quantized values + } + + const sycl::float2 ds8f = + ds8.convert(); + + // second part effectively subtracts 16 from each quant value + return d5 * (sumi * ds8f.x() - (16 * vdr / QI5_0) * ds8f.y()); +} + +#define VDR_Q5_1_Q8_1_MMVQ 2 +#define VDR_Q5_1_Q8_1_MMQ 4 + +template +static __dpct_inline__ float +vec_dot_q5_1_q8_1_impl(const int *vl, const int *vh, const int *u, + const sycl::half2 &dm5, const sycl::half2 &ds8) { + + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + int vi0 = (vl[i] >> 0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits + vi0 |= (vh[i] << 4) & 0x00000010; // 0 -> 4 + vi0 |= (vh[i] << 11) & 0x00001000; // 1 -> 12 + vi0 |= (vh[i] << 18) & 0x00100000; // 2 -> 20 + vi0 |= (vh[i] << 25) & 0x10000000; // 3 -> 28 + sumi = dpct::dp4a(vi0, u[2 * i + 0], + sumi); // SIMD dot product of quantized values + + int vi1 = (vl[i] >> 4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits + vi1 |= (vh[i] >> 12) & 0x00000010; // 16 -> 4 + vi1 |= (vh[i] >> 5) & 0x00001000; // 17 -> 12 + vi1 |= (vh[i] << 2) & 0x00100000; // 18 -> 20 + vi1 |= (vh[i] << 9) & 0x10000000; // 19 -> 28 + sumi = dpct::dp4a(vi1, u[2 * i + 1], + sumi); // SIMD dot product of quantized values + } + +#ifdef GGML_SYCL_F16 + const sycl::float2 tmp = + (dm5 * ds8).convert(); + const float d5d8 = tmp.x(); + const float m5s8 = tmp.y(); + + +#else + const sycl::float2 dm5f = + dm5.convert(); + const sycl::float2 ds8f = + ds8.convert(); + const float d5d8 = dm5f.x() * ds8f.x(); + const float m5s8 = dm5f.y() * ds8f.y(); +#endif // GGML_SYCL_F16 + + // scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it + return sumi*d5d8 + m5s8 / (QI5_1 / vdr); +} + +#define VDR_Q8_0_Q8_1_MMVQ 2 +#define VDR_Q8_0_Q8_1_MMQ 8 + +template +static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u, + const float &d8_0, + const float &d8_1) { + + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + // SIMD dot product of quantized values + sumi = dpct::dp4a(v[i], u[i], sumi); + } + + return d8_0*d8_1 * sumi; +} + +template +static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u, + const sycl::half2 &dm8, + const sycl::half2 &ds8) { + + int sumi = 0; + +#pragma unroll + for (int i = 0; i < vdr; ++i) { + // SIMD dot product of quantized values + sumi = dpct::dp4a(v[i], u[i], sumi); + } + +#ifdef GGML_SYCL_F16 + const sycl::float2 tmp = + (dm8 * ds8).convert(); + const float d8d8 = tmp.x(); + const float m8s8 = tmp.y(); +#else + const sycl::float2 dm8f = + dm8.convert(); + const sycl::float2 ds8f = + ds8.convert(); + const float d8d8 = dm8f.x() * ds8f.x(); + const float m8s8 = dm8f.y() * ds8f.y(); +#endif // GGML_SYCL_F16 + + // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it + return sumi*d8d8 + m8s8 / (QI8_1 / vdr); +} + +static __dpct_inline__ float +vec_dot_q4_0_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq; + + int v[VDR_Q4_0_Q8_1_MMVQ]; + int u[2*VDR_Q4_0_Q8_1_MMVQ]; + +#pragma unroll + for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) { + v[i] = get_int_from_uint8(bq4_0->qs, iqs + i); + u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); + u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0); + } + + return vec_dot_q4_0_q8_1_impl(v, u, bq4_0->d, bq8_1->ds); +} + +static __dpct_inline__ float +vec_dot_q4_1_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq; + + int v[VDR_Q4_1_Q8_1_MMVQ]; + int u[2*VDR_Q4_1_Q8_1_MMVQ]; + +#pragma unroll + for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) { + v[i] = get_int_from_uint8_aligned(bq4_1->qs, iqs + i); + u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); + u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1); + } + + return vec_dot_q4_1_q8_1_impl(v, u, bq4_1->dm, bq8_1->ds); +} + +static __dpct_inline__ float +vec_dot_q5_0_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq; + + int vl[VDR_Q5_0_Q8_1_MMVQ]; + int vh[VDR_Q5_0_Q8_1_MMVQ]; + int u[2*VDR_Q5_0_Q8_1_MMVQ]; + +#pragma unroll + for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) { + vl[i] = get_int_from_uint8(bq5_0->qs, iqs + i); + vh[i] = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i)); + u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); + u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0); + } + + return vec_dot_q5_0_q8_1_impl(vl, vh, u, bq5_0->d, bq8_1->ds); +} + +static __dpct_inline__ float +vec_dot_q5_1_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq; + + int vl[VDR_Q5_1_Q8_1_MMVQ]; + int vh[VDR_Q5_1_Q8_1_MMVQ]; + int u[2*VDR_Q5_1_Q8_1_MMVQ]; + +#pragma unroll + for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) { + vl[i] = get_int_from_uint8_aligned(bq5_1->qs, iqs + i); + vh[i] = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i)); + u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); + u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1); + } + + return vec_dot_q5_1_q8_1_impl(vl, vh, u, bq5_1->dm, bq8_1->ds); +} + +static __dpct_inline__ float +vec_dot_q8_0_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq; + + int v[VDR_Q8_0_Q8_1_MMVQ]; + int u[VDR_Q8_0_Q8_1_MMVQ]; + +#pragma unroll + for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) { + v[i] = get_int_from_int8(bq8_0->qs, iqs + i); + u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i); + } + + return vec_dot_q8_0_q8_1_impl(v, u, bq8_0->d, + bq8_1->ds[0]); +} + +static __dpct_inline__ float +vec_dot_q2_K_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q2_K * bq2_K = (const block_q2_K *) vbq; + + const int bq8_offset = QR2_K * (iqs / QI8_1); + const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2); + + const uint8_t * scales = bq2_K->scales + scale_offset; + + const int v = get_int_from_uint8_aligned(bq2_K->qs, iqs); + int u[QR2_K]; + float d8[QR2_K]; + +#pragma unroll + for (int i = 0; i < QR2_K; ++ i) { + u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1); + d8[i] = bq8_1[bq8_offset + i].ds[0]; + } + + return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales, bq2_K->dm, d8); +} + +static __dpct_inline__ float +vec_dot_q3_K_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q3_K * bq3_K = (const block_q3_K *) vbq; + + const int bq8_offset = QR3_K * (iqs / (QI3_K/2)); + const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2); + + const float d = bq3_K->d; + + const int vl = get_int_from_uint8(bq3_K->qs, iqs); + + // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted + const int vh = ~get_int_from_uint8(bq3_K->hmask, iqs % (QI3_K/2)) >> bq8_offset; + + int u[QR3_K]; + float d8[QR3_K]; + +#pragma unroll + for (int i = 0; i < QR3_K; ++i) { + u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1); + d8[i] = bq8_1[bq8_offset + i].ds[0]; + } + + return vec_dot_q3_K_q8_1_impl_mmvq(vl, vh, u, bq3_K->scales, scale_offset, d, d8); +} + +static __dpct_inline__ float +vec_dot_q4_K_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + +#ifndef GGML_QKK_64 + const block_q4_K * bq4_K = (const block_q4_K *) vbq; + + int v[2]; + int u[2*QR4_K]; + float d8[QR4_K]; + + // iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6 + const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2)); + + // iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12 + // iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44 + // iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76 + // iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108 + + const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4)); + v[0] = q4[0]; + v[1] = q4[4]; + + const uint16_t * scales = (const uint16_t *)bq4_K->scales; + uint16_t aux[2]; + const int j = bq8_offset/2; + if (j < 2) { + aux[0] = scales[j+0] & 0x3f3f; + aux[1] = scales[j+2] & 0x3f3f; + } else { + aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2); + aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2); + } + const uint8_t * sc = (const uint8_t *)aux; + const uint8_t * m = sc + 2; + + for (int i = 0; i < QR4_K; ++i) { + const block_q8_1 * bq8i = bq8_1 + bq8_offset + i; + d8[i] = bq8i->ds[0]; + + const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4); + u[2*i+0] = q8[0]; + u[2*i+1] = q8[4]; + } + + return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8); + +#else + +#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics + const block_q4_K * bq4_K = (const block_q4_K *) vbq; + + float sumf_d = 0.0f; + float sumf_m = 0.0f; + + uint16_t aux16[2]; + const uint8_t * s = (const uint8_t *)aux16; + + const uint16_t * a = (const uint16_t *)bq4_K->scales; + aux16[0] = a[0] & 0x0f0f; + aux16[1] = (a[0] >> 4) & 0x0f0f; + + const float dall = bq4_K->dm[0]; + const float dmin = bq4_K->dm[1]; + + const float d8_1 = bq8_1[0].ds[0]; + const float d8_2 = bq8_1[1].ds[1]; + + const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2)); + const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4); + const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2)); + const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4); + + const int * q4 = (const int *)bq4_K->qs + (iqs/2); + const int v1 = q4[0]; + const int v2 = q4[4]; + + const int dot1 = dpct::dp4a(ui2, v2 & 0x0f0f0f0f, dpct::dp4a(ui1, v1 & 0x0f0f0f0f, 0)); + const int dot2 = dpct::dp4a(ui4, (v2 >> 4) & 0x0f0f0f0f, dpct::dp4a(ui3, (v1 >> 4) & 0x0f0f0f0f, 0)); + const int dot3 = dpct::dp4a(0x01010101, ui2, dpct::dp4a(0x01010101, ui1, 0)); + const int dot4 = dpct::dp4a(0x01010101, ui4, dpct::dp4a(0x01010101, ui3, 0)); + + sumf_d += d8_1 * (dot1 * s[0]) + d8_2 * (dot2 * s[1]); + sumf_m += d8_1 * (dot3 * s[2]) + d8_2 * (dot4 * s[3]); + + return dall * sumf_d - dmin * sumf_m; + +#else + bad_arch(); +#endif // __SYCL_ARCH__ >= VER_4VEC + +#endif +} + +static __dpct_inline__ float +vec_dot_q5_K_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + +#ifndef GGML_QKK_64 + const block_q5_K * bq5_K = (const block_q5_K *) vbq; + + int vl[2]; + int vh[2]; + int u[2*QR5_K]; + float d8[QR5_K]; + + const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2)); + const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4)); + const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4)); + + vl[0] = ql[0]; + vl[1] = ql[4]; + + vh[0] = qh[0] >> bq8_offset; + vh[1] = qh[4] >> bq8_offset; + + const uint16_t * scales = (const uint16_t *)bq5_K->scales; + uint16_t aux[2]; + const int j = bq8_offset/2; + if (j < 2) { + aux[0] = scales[j+0] & 0x3f3f; + aux[1] = scales[j+2] & 0x3f3f; + } else { + aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2); + aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2); + } + const uint8_t * sc = (const uint8_t *)aux; + const uint8_t * m = sc + 2; + +#pragma unroll + for (int i = 0; i < QR5_K; ++i) { + const block_q8_1 * bq8i = bq8_1 + bq8_offset + i; + d8[i] = bq8i->ds[0]; + + const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4); + u[2*i+0] = q8[0]; + u[2*i+1] = q8[4]; + } + + return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8); + +#else + +#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics + const block_q5_K * bq5_K = (const block_q5_K *) vbq; + + const int8_t * s = bq5_K->scales; + + const float d = bq5_K->d; + + const float d8_1 = bq8_1[0].ds[0]; + const float d8_2 = bq8_1[1].ds[1]; + + const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2)); + const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4); + const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2)); + const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4); + + const int * ql = (const int *)bq5_K->qs + (iqs/2); + const int vl1 = ql[0]; + const int vl2 = ql[4]; + + const int step = 4 * (iqs/2); // 0, 4, 8, 12 + const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6 + const int in = step%8; // 0, 4, 0, 4 + const int vh = (*((const int *)(bq5_K->qh + in))) >> im; + + const int v1 = (((vh << 4) & 0x10101010) ^ 0x10101010) | ((vl1 >> 0) & 0x0f0f0f0f); + const int v2 = (((vh << 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 0) & 0x0f0f0f0f); + const int v3 = (((vh >> 0) & 0x10101010) ^ 0x10101010) | ((vl1 >> 4) & 0x0f0f0f0f); + const int v4 = (((vh >> 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 4) & 0x0f0f0f0f); + + const float sumf_d = d8_1 * (dpct::dp4a(ui1, v1, 0) * s[0] + dpct::dp4a(ui2, v2, 0) * s[1]) + + d8_2 * (dpct::dp4a(ui3, v3, 0) * s[2] + dpct::dp4a(ui4, v4, 0) * s[3]); + + return d * sumf_d; + +#else + bad_arch(); +#endif // __SYCL_ARCH__ >= VER_4VEC + +#endif +} + +static __dpct_inline__ float +vec_dot_q6_K_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_q6_K * bq6_K = (const block_q6_K *) vbq; + + const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4); + const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8); + const int vh_shift = 2 * ((iqs % (QI6_K/2)) / (QI6_K/4)); + + const int vl = get_int_from_uint8(bq6_K->ql, iqs); + const int vh = get_int_from_uint8(bq6_K->qh, (QI6_K/4) * (iqs / (QI6_K/2)) + iqs % (QI6_K/4)) >> vh_shift; + + const int8_t * scales = bq6_K->scales + scale_offset; + + int u[QR6_K]; + float d8[QR6_K]; + +#pragma unroll + for (int i = 0; i < QR6_K; ++i) { + u[i] = get_int_from_int8_aligned(bq8_1[bq8_offset + 2*i].qs, iqs % QI8_1); + d8[i] = bq8_1[bq8_offset + 2 * i].ds[0]; + } + + return vec_dot_q6_K_q8_1_impl_mmvq(vl, vh, u, scales, bq6_K->d, d8); +} + + +static __dpct_inline__ float +vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs, + const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs, + const uint8_t *kmask_iq2xs) { +#if QK_K == 256 + const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq; + +#if QR2_XXS == 8 + const int ib32 = iqs; + const uint16_t * q2 = bq2->qs + 4*ib32; + const uint8_t * aux8 = (const uint8_t *)q2; + const int8_t * q8 = bq8_1[ib32].qs; + uint32_t aux32 = q2[2] | (q2[3] << 16); + int sumi = 0; + for (int l = 0; l < 4; ++l) { + const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]); + const uint8_t signs = ksigns_iq2xs[aux32 & 127]; + for (int j = 0; j < 8; ++j) { + sumi += q8[j] * grid[j] * (signs & kmask_iq2xs[j] ? -1 : 1); + } + q8 += 8; + aux32 >>= 7; + } + const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.25f; + return d * sumi; +#else + // iqs is 0...15 + const int ib32 = iqs/2; + const int il = iqs%2; + const uint16_t * q2 = bq2->qs + 4*ib32; + const uint8_t * aux8 = (const uint8_t *)q2; + const uint8_t * grid1 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+0]); + const uint8_t * grid2 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+1]); + const uint32_t aux32 = q2[2] | (q2[3] << 16); + const float d = (float)bq2->d * (0.5f + (aux32 >> 28)) * bq8_1[ib32].ds[0] * 0.25f; + const uint8_t signs1 = ksigns_iq2xs[(aux32 >> 14*il) & 127]; + const uint8_t signs2 = ksigns_iq2xs[(aux32 >> (14*il + 7)) & 127]; + const int8_t * q8 = bq8_1[ib32].qs + 16*il; + int sumi1 = 0, sumi2 = 0; + for (int j = 0; j < 8; ++j) { + sumi1 += q8[j+0] * grid1[j] * (signs1 & kmask_iq2xs[j] ? -1 : 1); + sumi2 += q8[j+8] * grid2[j] * (signs2 & kmask_iq2xs[j] ? -1 : 1); + } + return d * (sumi1 + sumi2); +#endif +#else + assert(false); + return 0.f; +#endif +} + +static __dpct_inline__ float +vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs, + const uint64_t *iq2xs_grid, const uint64_t *ksigns64) { +#if DPCT_COMPATIBILITY_TEMP >= \ + MIN_CC_DP4A // lowest compute capability for integer intrinsics +#if QK_K == 256 + const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq; + + const int ib32 = iqs; + const uint16_t * q2 = bq2->qs + 4*ib32; + const int8_t * q8 = bq8_1[ib32].qs; + const uint8_t ls1 = bq2->scales[ib32] & 0xf; + const uint8_t ls2 = bq2->scales[ib32] >> 4; + int sumi1 = 0; + for (int l = 0; l < 2; ++l) { + const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511)); + const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9)); + const int grid_l = dpct::vectorized_binary( + grid[0] ^ signs[0], signs[0], std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid[1] ^ signs[1], signs[1], std::minus<>()); + sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1); + sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1); + q8 += 8; + } + int sumi2 = 0; + for (int l = 2; l < 4; ++l) { + const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511)); + const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9)); + const int grid_l = dpct::vectorized_binary( + grid[0] ^ signs[0], signs[0], std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid[1] ^ signs[1], signs[1], std::minus<>()); + sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2); + sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2); + q8 += 8; + } + const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f; + return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2); +#else + assert(false); + return 0.f; +#endif +#else + assert(false); + return 0.f; +#endif +} + +static __dpct_inline__ float +vec_dot_iq2_s_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { +#if QK_K == 256 + const block_iq2_s * bq2 = (const block_iq2_s *) vbq; + + const int ib32 = iqs; + const int8_t * q8 = bq8_1[ib32].qs; + const uint8_t * signs = bq2->qs + QK_K/8 + 4*ib32; + const uint8_t ls1 = bq2->scales[ib32] & 0xf; + const uint8_t ls2 = bq2->scales[ib32] >> 4; + int sumi1 = 0; + for (int l = 0; l < 2; ++l) { + const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300))); + const uint32_t signs0 = dpct::vectorized_binary( + ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201, + std::equal_to<>()); + const uint32_t signs1 = dpct::vectorized_binary( + ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201, + std::equal_to<>()); + const int grid_l = dpct::vectorized_binary( + grid[0] ^ signs0, signs0, std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid[1] ^ signs1, signs1, std::minus<>()); + sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1); + sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1); + q8 += 8; + } + int sumi2 = 0; + for (int l = 2; l < 4; ++l) { + const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300))); + const uint32_t signs0 = dpct::vectorized_binary( + ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201, + std::equal_to<>()); + const uint32_t signs1 = dpct::vectorized_binary( + ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201, + std::equal_to<>()); + const int grid_l = dpct::vectorized_binary( + grid[0] ^ signs0, signs0, std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid[1] ^ signs1, signs1, std::minus<>()); + sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2); + sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2); + q8 += 8; + } + const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f; + return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2); +#else + assert(false); +#endif +} + +static __dpct_inline__ float +vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs, + const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) { +#if DPCT_COMPATIBILITY_TEMP >= \ + MIN_CC_DP4A // lowest compute capability for integer intrinsics +#if QK_K == 256 + const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq; + + const int ib32 = iqs; + const uint8_t * q3 = bq2->qs + 8*ib32; + const uint16_t * gas = (const uint16_t *)(bq2->qs + QK_K/4) + 2*ib32; + const int8_t * q8 = bq8_1[ib32].qs; + uint32_t aux32 = gas[0] | (gas[1] << 16); + int sumi = 0; + for (int l = 0; l < 4; ++l) { + const uint32_t * grid1 = iq3xxs_grid + q3[2*l+0]; + const uint32_t * grid2 = iq3xxs_grid + q3[2*l+1]; + const uint32_t * signs = (const uint32_t *)(ksigns64 + (aux32 & 127)); + const int grid_l = dpct::vectorized_binary( + grid1[0] ^ signs[0], signs[0], std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid2[0] ^ signs[1], signs[1], std::minus<>()); + sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi); + sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi); + q8 += 8; + aux32 >>= 7; + } + const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.5f; + return d * sumi; +#else + assert(false); + return 0.f; +#endif +#else + assert(false); + return 0.f; +#endif +} + +static __dpct_inline__ float +vec_dot_iq3_s_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs, + const uint32_t *iq3s_grid) { +#if QK_K == 256 + const block_iq3_s * bq2 = (const block_iq3_s *) vbq; + + const int ib32 = iqs; + const uint8_t * qs = bq2->qs + 8*ib32; + const int8_t * q8 = bq8_1[ib32].qs; + int sumi = 0; + for (int l = 0; l < 4; ++l) { + const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256)); + const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256)); + uint32_t signs0 = dpct::vectorized_binary( + ((bq2->signs[4 * ib32 + l] & 0xf) * 0x01010101) & 0x08040201, + 0x08040201, std::equal_to<>()); + uint32_t signs1 = dpct::vectorized_binary( + ((bq2->signs[4 * ib32 + l] >> 4) * 0x01010101) & 0x08040201, + 0x08040201, std::equal_to<>()); + const int grid_l = dpct::vectorized_binary( + grid1[0] ^ signs0, signs0, std::minus<>()); + const int grid_h = dpct::vectorized_binary( + grid2[0] ^ signs1, signs1, std::minus<>()); + sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi); + sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi); + q8 += 8; + } + const float d = + (float)bq2->d * + (1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) * + bq8_1[ib32].ds[0]; + return d * sumi; +#else + assert(false); +#endif +} + +static __dpct_inline__ float +vec_dot_iq1_s_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs, + const uint32_t *iq1s_grid_gpu) { +#if QK_K == 256 + const block_iq1_s * bq1 = (const block_iq1_s *) vbq; + + const int ib32 = iqs; + int sumi = 0; + const int * q8 = (const int *)bq8_1[ib32].qs; + for (int l = 0; l < 4; ++l) { + const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[ib32] >> 3*l) & 7) << 8))); + int grid0 = grid[0] & 0x0f0f0f0f; + int grid1 = (grid[0] >> 4) & 0x0f0f0f0f; + sumi = dpct::dp4a(q8[2 * l + 1], grid1, + dpct::dp4a(q8[2 * l + 0], grid0, sumi)); + } + + const float delta = bq1->qh[ib32] & 0x8000 ? -1-IQ1S_DELTA : -1+IQ1S_DELTA; + const float d1q = (float)bq1->d * (2*((bq1->qh[ib32] >> 12) & 7) + 1); + const float d = d1q * bq8_1[ib32].ds[0]; + const float m = d1q * bq8_1[ib32].ds[1]; + return d * sumi + m * delta; +#else + assert(false); +#endif +} + +static __dpct_inline__ float +vec_dot_iq1_m_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { +#if QK_K == 256 + const block_iq1_m * bq1 = (const block_iq1_m *) vbq; + + const int ib32 = iqs; + int sumi[2] = {0, 0}; + float sumf[2] = {0.f, 0.f}; + + const int * q8 = (const int *)bq8_1[ib32].qs; + for (int l = 0; l < 4; ++l) { + const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 7) << 8))); + int grid0 = grid[0] & 0x0f0f0f0f; + int grid1 = (grid[0] >> 4) & 0x0f0f0f0f; + sumi[l / 2] = dpct::dp4a(q8[2 * l + 1], grid1, + dpct::dp4a(q8[2 * l + 0], grid0, sumi[l / 2])); + const float delta = (bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 0x08 ? -1-IQ1M_DELTA : -1+IQ1M_DELTA; + const int sumy = dpct::dp4a(q8[2 * l + 1], 0x01010101, + dpct::dp4a(q8[2 * l + 0], 0x01010101, 0)); + sumf[l/2] += delta*sumy; + } + + iq1m_scale_t scale; + const uint16_t * sc = (const uint16_t *)bq1->scales; + scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); + const float d = (float)scale.f16 * bq8_1[ib32].ds[0]; + return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1)); +#else + assert(false); +#endif +} + + +static __dpct_inline__ float +vec_dot_iq4_nl_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + + const block_iq4_nl * bq = (const block_iq4_nl *) vbq; + + const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs; + const int32_t * q8 = (const int32_t *)bq8_1->qs + iqs; + + const uint8_t * values = (const uint8_t *)kvalues_iq4nl; + + int v1, v2; + int sumi1 = 0, sumi2 = 0; + for (int l = 0; l < VDR_Q4_0_Q8_1_MMVQ; ++l) { + const uint32_t aux = q4[2*l] | (q4[2*l+1] << 16); + get_int_from_table_16(aux, values, v1, v2); + sumi1 = dpct::dp4a(v1, q8[l + 0], sumi1); + sumi2 = dpct::dp4a(v2, q8[l + 4], sumi2); + } + + const float d = (float)bq->d * bq8_1->ds[0]; + return d * (sumi1 + sumi2); +} + + +static __dpct_inline__ float +vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq, + const block_q8_1 *__restrict__ bq8_1, const int &iqs) { + +#if QK_K == 256 + const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq; + const uint8_t * values = (const uint8_t *)kvalues_iq4nl; + + // iqs is 0...7 + const int ib32 = iqs; + const int32_t * q8 = (const int *)bq8_1[ib32].qs; + const uint32_t * q4 = (const uint32_t *)bq4->qs + 4*ib32; + const int8_t ls = ((bq4->scales_l[ib32/2] >> 4*(ib32%2)) & 0xf) | (((bq4->scales_h >> 2*ib32) & 3) << 4); + const float d = (float)bq4->d * (ls - 32) * bq8_1[ib32].ds[0]; + int v1, v2; + int sumi1 = 0, sumi2 = 0; + for (int j = 0; j < 4; ++j) { + get_int_from_table_16(q4[j], values, v1, v2); + sumi1 = dpct::dp4a(v1, q8[j + 0], sumi1); + sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2); + } + return d * (sumi1 + sumi2); +#else + assert(false); +#endif +} + +#endif // GGML_SYCL_VECDOTQ_HPP From a04a953cab583f0229e7b4b506346e3e9a85c8d0 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Wed, 19 Jun 2024 13:04:36 +0300 Subject: [PATCH 30/59] codecov : remove (#8004) --- .github/labeler.yml | 1 - .github/workflows/code-coverage.yml | 40 ----------------------------- codecov.yml | 14 ---------- 3 files changed, 55 deletions(-) delete mode 100644 .github/workflows/code-coverage.yml delete mode 100644 codecov.yml diff --git a/.github/labeler.yml b/.github/labeler.yml index 97d739b58..5c12bab73 100644 --- a/.github/labeler.yml +++ b/.github/labeler.yml @@ -42,7 +42,6 @@ build: - cmake/** - CMakeLists.txt - CMakePresets.json - - codecov.yml examples: - changed-files: - any-glob-to-any-file: examples/** diff --git a/.github/workflows/code-coverage.yml b/.github/workflows/code-coverage.yml deleted file mode 100644 index f12c558f8..000000000 --- a/.github/workflows/code-coverage.yml +++ /dev/null @@ -1,40 +0,0 @@ -name: Code Coverage -on: [push, pull_request] - -env: - GGML_NLOOP: 3 - GGML_N_THREADS: 1 - -concurrency: - group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} - cancel-in-progress: true - -jobs: - run: - runs-on: ubuntu-20.04 - steps: - - name: Checkout - uses: actions/checkout@v4 - - - name: Dependencies - run: | - sudo apt-get update - sudo apt-get install build-essential gcc-8 lcov - - - name: Build - run: CC=gcc-8 make -j LLAMA_CODE_COVERAGE=1 tests - - - name: Run tests - run: CC=gcc-8 make test - - - name: Generate coverage report - run: | - make coverage - make lcov-report - - - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 - env: - CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} - with: - files: lcov-report/coverage.info diff --git a/codecov.yml b/codecov.yml deleted file mode 100644 index a301c5b2c..000000000 --- a/codecov.yml +++ /dev/null @@ -1,14 +0,0 @@ -comment: off - -coverage: - status: - project: - default: - target: auto - threshold: 0 - base: auto - patch: - default: - target: auto - threshold: 0 - base: auto From 9c77ec1d74874ee22bdef8f110e8e8d41389abf2 Mon Sep 17 00:00:00 2001 From: slaren Date: Wed, 19 Jun 2024 15:04:15 +0200 Subject: [PATCH 31/59] ggml : synchronize threads using barriers (#7993) --- .github/workflows/server.yml | 14 +++ ggml.c | 221 +++++++++++------------------------ 2 files changed, 83 insertions(+), 152 deletions(-) diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index 1fee9ac28..6155e9415 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -87,8 +87,22 @@ jobs: exit 1 fi + - name: Build (no OpenMP) + id: cmake_build_no_openmp + if: ${{ matrix.sanitizer == 'THREAD' }} + run: | + cmake -B build \ + -DLLAMA_NATIVE=OFF \ + -DLLAMA_BUILD_SERVER=ON \ + -DLLAMA_CURL=ON \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ + -DLLAMA_OPENMP=OFF ; + cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server + - name: Build id: cmake_build + if: ${{ matrix.sanitizer != 'THREAD' }} run: | cmake -B build \ -DLLAMA_NATIVE=OFF \ diff --git a/ggml.c b/ggml.c index d5d33c2ba..778ca3fdf 100644 --- a/ggml.c +++ b/ggml.c @@ -1753,9 +1753,8 @@ struct ggml_compute_state_shared { int n_threads; // synchronization primitives - atomic_int n_active; // num active threads - atomic_int node_n; // active graph node - atomic_int node_task; // active graph node task phase + atomic_int n_barrier; + atomic_int n_barrier_passed; ggml_abort_callback abort_callback; // abort ggml_graph_compute when true void* abort_callback_data; @@ -18972,47 +18971,49 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_ return n_tasks; } -static void ggml_graph_compute_thread_sync_node(int * node_n, struct ggml_compute_state * state, const bool do_yield) { - // wait for other threads to finish - const int last_node_n = * node_n; +#ifdef GGML_USE_OPENMP +static void ggml_barrier(struct ggml_compute_state * state) { + if (state->shared->n_threads == 1) { + return; + } - while (true) { - if (do_yield) { + #pragma omp barrier +} +#else +static void ggml_barrier(struct ggml_compute_state * state) { + if (state->shared->n_threads == 1) { + return; + } + + atomic_int * n_barrier = &state->shared->n_barrier; + atomic_int * n_barrier_passed = &state->shared->n_barrier_passed; + + int n_threads = state->shared->n_threads; + int passed_old = atomic_load(n_barrier_passed); + + if (atomic_fetch_add(n_barrier, 1) == n_threads - 1) { + // last thread + atomic_store(n_barrier, 0); + atomic_fetch_add(n_barrier_passed, 1); + } else { + // wait for other threads + //while (atomic_load(n_barrier_passed) == passed_old) { + //} + const int n_spin_before_sleep = 100000; + while (true) { + for (int i = 0; i < n_spin_before_sleep; i++) { + if (atomic_load(n_barrier_passed) != passed_old) { + return; + } + #if defined(__SSE3__) + _mm_pause(); + #endif + } sched_yield(); } - - *node_n = atomic_load(&state->shared->node_n); - if (*node_n != last_node_n) { - break; - } - -#if defined(__SSE3__) - // Tell the processor we're spinning. It's a processor hint for spinlocks. - _mm_pause(); -#endif } } - -static void ggml_graph_compute_thread_sync_task(int * task_phase, struct ggml_compute_state * state, const bool do_yield) { - // wait for other threads to finish - const int last_task_phase = *task_phase; - - while (true) { - if (do_yield) { - sched_yield(); - } - - *task_phase = atomic_load(&state->shared->node_task); - if (*task_phase != last_task_phase) { - break; - } - -#if defined(__SSE3__) - // Tell the processor we're spinning. It's a processor hint for spinlocks. - _mm_pause(); #endif - } -} static thread_ret_t ggml_graph_compute_thread(void * data) { struct ggml_compute_state * state = (struct ggml_compute_state *) data; @@ -19020,136 +19021,54 @@ static thread_ret_t ggml_graph_compute_thread(void * data) { const struct ggml_cgraph * cgraph = state->shared->cgraph; const struct ggml_cplan * cplan = state->shared->cplan; - const int n_threads = state->shared->n_threads; + const int ith = state->ith; + const int n_threads = state->shared->n_threads; - set_numa_thread_affinity(state->ith); + set_numa_thread_affinity(ith); - int node_n = -1; - int task_phase = GGML_TASK_TYPE_FINALIZE; + struct ggml_compute_params params = { + /*.type =*/ GGML_TASK_TYPE_INIT, + /*.ith =*/ ith, + /*.nth =*/ state->shared->n_threads, + /*.wsize =*/ cplan->work_size, + /*.wdata =*/ cplan->work_data, + }; - while (true) { + for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) { if (cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) { - state->shared->node_n += 1; state->ec = GGML_STATUS_ABORTED; return 0; } - if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) { - // all other threads are finished and spinning - // do finalize and init here so we don't have synchronize again - struct ggml_compute_params params = { - /*.type =*/ GGML_TASK_TYPE_FINALIZE, - /*.ith =*/ 0, - /*.nth =*/ 0, - /*.wsize =*/ cplan->work_size, - /*.wdata =*/ cplan->work_data, - }; - - if (node_n != -1) { - /* FINALIZE */ - struct ggml_tensor * node = cgraph->nodes[node_n]; - if (GGML_OP_HAS_FINALIZE[node->op]) { - params.nth = ggml_get_n_tasks(node, n_threads, state->shared->n_threads); - ggml_compute_forward(¶ms, node, state); - } - ggml_graph_compute_perf_stats_node(node, state->shared); - } - - // distribute new work or execute it direct if 1T - while (++node_n < cgraph->n_nodes) { - GGML_PRINT_DEBUG_5("%s: %d/%d\n", __func__, node_n, cgraph->n_nodes); - struct ggml_tensor * node = cgraph->nodes[node_n]; - const int n_tasks = ggml_get_n_tasks(node, n_threads, state->shared->n_threads); - - state->shared->perf_node_start_cycles = ggml_perf_cycles(); - state->shared->perf_node_start_time_us = ggml_perf_time_us(); - - params.nth = n_tasks; - - if (n_tasks == 1) { - /* INIT */ - if (GGML_OP_HAS_INIT[node->op]) { - params.type = GGML_TASK_TYPE_INIT; - ggml_compute_forward(¶ms, node, state); - } - - // TODO: maybe push node_n to the atomic but if other threads see n_tasks is 1, - // they do something more efficient than spinning (?) - params.type = GGML_TASK_TYPE_COMPUTE; - ggml_compute_forward(¶ms, node, state); - - if (GGML_OP_HAS_FINALIZE[node->op]) { - params.type = GGML_TASK_TYPE_FINALIZE; - ggml_compute_forward(¶ms, node, state); - } - - ggml_graph_compute_perf_stats_node(node, state->shared); - } else { - break; - } - - if (cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) { - break; - } - } - - task_phase = GGML_TASK_TYPE_INIT; - atomic_store(&state->shared->n_active, n_threads); - atomic_store(&state->shared->node_n, node_n); - atomic_store(&state->shared->node_task, task_phase); - } else { - ggml_graph_compute_thread_sync_node(&node_n, state, false); - ggml_graph_compute_thread_sync_task(&task_phase, state, false); - } - - // check if we should stop - if (node_n >= cgraph->n_nodes) break; - - /* INIT & COMPUTE */ struct ggml_tensor * node = cgraph->nodes[node_n]; const int n_tasks = ggml_get_n_tasks(node, n_threads, state->shared->n_threads); - struct ggml_compute_params params = { - /*.type =*/ GGML_TASK_TYPE_INIT, - /*.ith =*/ state->ith, - /*.nth =*/ n_tasks, - /*.wsize =*/ cplan->work_size, - /*.wdata =*/ cplan->work_data, - }; + params.nth = n_tasks; - if (state->ith < n_tasks) { - if (GGML_OP_HAS_INIT[node->op]) { + /* INIT */ + if (GGML_OP_HAS_INIT[node->op]) { + if (ith < n_tasks) { + params.type = GGML_TASK_TYPE_INIT; ggml_compute_forward(¶ms, node, state); } + ggml_barrier(state); } - if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) { - task_phase = GGML_TASK_TYPE_COMPUTE; - atomic_store(&state->shared->n_active, n_threads); - atomic_store(&state->shared->node_task, task_phase); - } - else { - // TODO: this sched_yield can have significant impact on the performance - either positive or negative - // depending on the workload and the operating system. - // since it is not clear what is the best approach, it should potentially become user-configurable - // ref: https://github.com/ggerganov/ggml/issues/291 - // UPD: adding the do_yield flag seems to resolve the issue universally - const bool do_yield = node_n < 0 || cgraph->nodes[node_n]->op == GGML_OP_MUL_MAT; - ggml_graph_compute_thread_sync_task(&task_phase, state, do_yield); - } - - if (state->ith < n_tasks) { + /* COMPUTE */ + if (ith < n_tasks) { params.type = GGML_TASK_TYPE_COMPUTE; ggml_compute_forward(¶ms, node, state); } - if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) { - task_phase = GGML_TASK_TYPE_FINALIZE; - atomic_store(&state->shared->n_active, n_threads); - atomic_store(&state->shared->node_task, task_phase); - } - else { - ggml_graph_compute_thread_sync_task(&task_phase, state, false); + ggml_barrier(state); + + /* FINALIZE */ + if (GGML_OP_HAS_FINALIZE[node->op]) { + if (params.ith == 0) { + params.type = GGML_TASK_TYPE_FINALIZE; + ggml_compute_forward(¶ms, node, state); + } + ggml_barrier(state); } } @@ -19336,7 +19255,6 @@ static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state * // update the number of threads from the actual number of threads that we got from OpenMP n_threads = omp_get_num_threads(); workers[0].shared->n_threads = n_threads; - workers[0].shared->n_active = n_threads; } ggml_graph_compute_thread(&workers[omp_get_thread_num()]); } @@ -19399,9 +19317,8 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl /*.perf_node_start_cycles =*/ 0, /*.perf_node_start_time_us =*/ 0, /*.n_threads =*/ n_threads, - /*.n_active =*/ n_threads, - /*.node_n =*/ -1, - /*.node_task =*/ GGML_TASK_TYPE_FINALIZE, + /*.n_barrier =*/ 0, + /*.n_barrier_passed =*/ 0, /*.abort_callback =*/ NULL, /*.abort_callback_data =*/ NULL, /*.current_chunk; =*/ 0, From a7854743c5e6216a6178824a603aa9479728ddd5 Mon Sep 17 00:00:00 2001 From: Michael de Gans Date: Wed, 19 Jun 2024 13:10:42 -0700 Subject: [PATCH 32/59] un-ignore `build-info.cmake` and `build-info.sh` (#7996) * un-ignore `build-info.cmake` and `build-info.sh` I am assuming that ignoring them was unintentional. If they are ignored, some tools, like cargo, will consider the files inexistent, even if they're comitted, for the purpose of publishing. This leads to the build failing in such cases. * un-ignore `build-info.cpp.in` For the same reason as the previous two files. * Reorganize `.gitignore` * Add exceptions for files mentioned by @slaren I did leave .clang-tidy since it was explicitly ignored before. * Add comments for organization * Sort some lines for pretty * Test with `make` and `cmake` builds to ensure no build artifacts might be comitted * Remove `.clang-tidy` from `.gitignore` Per comment by @ggerganov * Remove `IDEWorkspaceChecks.plist` from root-level `.gitignore` --- .gitignore | 113 ++++++++++++++++++++++++++++++++++------------------- 1 file changed, 73 insertions(+), 40 deletions(-) diff --git a/.gitignore b/.gitignore index 529659495..a0c16e880 100644 --- a/.gitignore +++ b/.gitignore @@ -1,90 +1,123 @@ -*.o +# Extensions + *.a -*.so +*.bat +*.bin +*.dll +*.dot +*.etag +*.exe +*.gcda +*.gcno +*.gcov *.gguf *.gguf.json -*.bin -*.exe -*.dll -*.log -*.gcov -*.gcno -*.gcda -*.dot -*.bat -*.tmp -*.metallib -*.etag *.lastModified -.DS_Store -.build/ +*.log +*.metallib +*.o +*.so +*.tmp + +# IDE / OS + .cache/ .ccls-cache/ .direnv/ +.DS_Store .envrc +.idea/ .swiftpm -.venv -.clang-tidy .vs/ .vscode/ -.idea/ +nppBackup -ggml-metal-embed.metal -lcov-report/ +# Coverage + gcovr-report/ +lcov-report/ + +# Build Artifacts tags +.build/ build* +!build-info.cmake +!build-info.cpp.in +!build-info.sh !build.zig -cmake-build-* +/libllama.so +/llama-* android-ndk-* +arm_neon.h +cmake-build-* +CMakeSettings.json +compile_commands.json +ggml-metal-embed.metal +llama-batched-swift out/ tmp/ +# CI + +!.github/workflows/*.yml + +# Models + models/* models-mnt +!models/.editorconfig +!models/ggml-vocab-*.gguf* -/Pipfile -/libllama.so -/llama-* -llama-batched-swift -/common/build-info.cpp -arm_neon.h -compile_commands.json -CMakeSettings.json - -__pycache__ -dist +# Zig zig-out/ zig-cache/ +# Logs + ppl-*.txt qnt-*.txt perf-*.txt +# Examples + examples/jeopardy/results.txt +examples/server/*.css.hpp examples/server/*.html.hpp examples/server/*.js.hpp examples/server/*.mjs.hpp -examples/server/*.css.hpp +!build_64.sh +!examples/*.bat +!examples/*/*.kts +!examples/*/*/*.kts +!examples/sycl/*.bat +!examples/sycl/*.sh +# Python + +__pycache__ +.venv +/Pipfile +dist poetry.lock poetry.toml -nppBackup # Test binaries -/tests/test-grammar-parser -/tests/test-llama-grammar +/tests/test-backend-ops /tests/test-double-float /tests/test-grad0 +/tests/test-grammar-parser +/tests/test-llama-grammar /tests/test-opt /tests/test-quantize-fns /tests/test-quantize-perf +/tests/test-rope /tests/test-sampling /tests/test-tokenizer-0 -/tests/test-tokenizer-1-spm /tests/test-tokenizer-1-bpe -/tests/test-rope -/tests/test-backend-ops +/tests/test-tokenizer-1-spm + +# Scripts +!/scripts/install-oneapi.bat From ba5899315283eb1df3902363daf79bdc5eefe426 Mon Sep 17 00:00:00 2001 From: sasha0552 Date: Wed, 19 Jun 2024 23:57:10 +0000 Subject: [PATCH 33/59] server : fix smart slot selection (#8020) --- examples/server/server.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index ec59307b2..f9a86961f 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -1594,7 +1594,7 @@ struct server_context { } else { std::string prompt; if (task.data.contains("prompt") && task.data.at("prompt").is_string()) { - json_value(task.data, "prompt", std::string()); + prompt = json_value(task.data, "prompt", std::string()); } slot = get_available_slot(prompt); From 2075a66a96cc1b04eabec7cf4b3051193d6f719e Mon Sep 17 00:00:00 2001 From: Michael de Gans Date: Wed, 19 Jun 2024 22:32:01 -0700 Subject: [PATCH 34/59] metal : fix `ggml_metal_supports_op` for BF16 (#8021) Currently the Metal backend does not support BF16. `ggml_metal_supports_op` was returning true in these cases, leading to a crash with models converted with `--leave-output-tensor`. This commit checks if the first few sources types are BF16 and returns false if that's the case. --- ggml-metal.m | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/ggml-metal.m b/ggml-metal.m index f894274ca..79902c9a8 100644 --- a/ggml-metal.m +++ b/ggml-metal.m @@ -735,6 +735,12 @@ static id ggml_metal_get_buffer(struct ggml_tensor * t, size_t * offs } static bool ggml_metal_supports_op(const struct ggml_metal_context * ctx, const struct ggml_tensor * op) { + for (size_t i = 0, n = 3; i < n; ++i) { + if (op->src[i] != NULL && op->src[i]->type == GGML_TYPE_BF16) { + return false; + } + } + switch (op->op) { case GGML_OP_UNARY: switch (ggml_get_unary_op(op)) { From d50f8897a797a5a03f31228d1b5a7b8130ee1bc2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Thu, 20 Jun 2024 14:39:21 +0200 Subject: [PATCH 35/59] CUDA: stream-k decomposition for MMQ (#8018) * CUDA: stream-k decomposition for MMQ * fix undefined memory reads for small matrices --- ggml-cuda.cu | 2 +- ggml-cuda/common.cuh | 4 +- ggml-cuda/mmq.cu | 20 +-- ggml-cuda/mmq.cuh | 379 +++++++++++++++++++++++++++++++------------ 4 files changed, 292 insertions(+), 113 deletions(-) diff --git a/ggml-cuda.cu b/ggml-cuda.cu index b8298ab20..f914efd71 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -635,7 +635,7 @@ static int64_t get_row_rounding(const std::array & } const int cc = ggml_cuda_info().devices[id].cc; - row_rounding = std::max(row_rounding, (int64_t)get_mmq_y_host(cc, get_mmq_x_max_host(cc))); + row_rounding = std::max(row_rounding, (int64_t)get_mmq_y_host(cc)); } return row_rounding; } diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh index de7c2e434..5bd24ebe5 100644 --- a/ggml-cuda/common.cuh +++ b/ggml-cuda/common.cuh @@ -652,8 +652,8 @@ static int get_mmq_x_max_host(const int cc) { } // Round rows to this value for --split-mode row: -static int get_mmq_y_host(const int cc, const int mmq_x) { - return cc >= CC_VOLTA && mmq_x >= 32 ? 128 : 64; +static int get_mmq_y_host(const int cc) { + return cc >= CC_VOLTA ? 128 : 64; } ////////////////////// diff --git a/ggml-cuda/mmq.cu b/ggml-cuda/mmq.cu index 1d6b9e698..6dbd85fef 100644 --- a/ggml-cuda/mmq.cu +++ b/ggml-cuda/mmq.cu @@ -30,34 +30,34 @@ void ggml_cuda_op_mul_mat_q( switch (src0->type) { case GGML_TYPE_Q4_0: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q4_1: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q5_0: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q5_1: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q8_0: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q2_K: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q3_K: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q4_K: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q5_K: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; case GGML_TYPE_Q6_K: - mul_mat_q_case(args, stream); + mul_mat_q_case(ctx, args, stream); break; default: GGML_ASSERT(false); diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh index 6d57974fb..e2d07c202 100644 --- a/ggml-cuda/mmq.cuh +++ b/ggml-cuda/mmq.cuh @@ -8,6 +8,7 @@ #include #define MMQ_TILE_Y_K (WARP_SIZE + WARP_SIZE/QI8_1) +#define MMQ_NWARPS 8 typedef void (*load_tiles_mmq_t)( const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm, @@ -15,7 +16,7 @@ typedef void (*load_tiles_mmq_t)( typedef void (*vec_dot_mmq_t)( const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc, const int * __restrict__ y, float * __restrict__ sum, const int & k0); -typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1); +typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max); struct block_q8_1_mmq { half2 ds[4]; @@ -50,21 +51,17 @@ static constexpr __device__ int get_mmq_x_max_device() { // get_mmq_y_host is in common.cuh so that it can be used to determine the correct way to round for --split-mode row +static constexpr __device__ int get_mmq_y_device() { #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) -static constexpr __device__ int get_mmq_y_device(int mmq_x) { - return mmq_x >= 32 ? 128 : 64; -} + return 128; #else #if __CUDA_ARCH__ >= CC_VOLTA -static constexpr __device__ int get_mmq_y_device(int mmq_x) { - return mmq_x >= 32 ? 128 : 64; -} + return 128; #else -static constexpr __device__ int get_mmq_y_device(int /*mmq_x*/) { return 64; -} #endif // __CUDA_ARCH__ >= CC_VOLTA #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) +} #define TILE_X_SIZES_Q4_0 tile_x_sizes{mmq_y*WARP_SIZE + mmq_y, mmq_y*WARP_SIZE/QI4_0 + mmq_y/QI4_0, 0} #define TILE_X_SIZES_Q4_1 tile_x_sizes{mmq_y*WARP_SIZE + mmq_y, mmq_y*WARP_SIZE/QI4_1 + mmq_y/QI4_1, 0} @@ -1734,30 +1731,34 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma( } template -static __device__ __forceinline__ void mmq_write_back_dp4a(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) { +static __device__ __forceinline__ void mmq_write_back_dp4a( + const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max) { + #pragma unroll for (int j0 = 0; j0 < mmq_x; j0 += nwarps) { - const int j = blockIdx.y*mmq_x + j0 + threadIdx.y; + const int j = j0 + threadIdx.y; - if (j >= ne1) { + if (j > j_max) { return; } #pragma unroll for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) { - const int i = blockIdx.x*mmq_y + i0 + threadIdx.x; + const int i = i0 + threadIdx.x; - if (need_check && i >= ne0) { + if (need_check && i > i_max) { continue; } - dst[j*ne0 + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE]; + dst[j*stride + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE]; } } } template -static __device__ __forceinline__ void mmq_write_back_mma(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) { +static __device__ __forceinline__ void mmq_write_back_mma( + const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max) { + typedef mma_int_C_I16J8 mma_C; const int i0 = threadIdx.y*mma_C::I; @@ -1769,19 +1770,19 @@ static __device__ __forceinline__ void mmq_write_back_mma(const float * __restri for (int j0 = 0; j0 < mmq_x; j0 += mma_C::J) { #pragma unroll for (int l = 0; l < mma_C::ne; ++l) { - const int j = blockIdx.y*mmq_x + j0 + mma_C::get_j(l); + const int j = j0 + mma_C::get_j(l); - if (j >= ne1) { + if (j > j_max) { continue; } - const int i = blockIdx.x*mmq_y + i0 + mma_C::get_i(l); + const int i = i0 + mma_C::get_i(l); - if (need_check && i >= ne0) { + if (need_check && i > i_max) { continue; } - dst[j*ne0 + i] = sum[(j0/mma_C::J)*mma_C::ne + l]; + dst[j*stride + i] = sum[(j0/mma_C::J)*mma_C::ne + l]; } } } @@ -1896,32 +1897,16 @@ static bool mmq_need_sum(const ggml_type type_x) { return false; } -template -#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) -#if defined(RDNA3) || defined(RDNA2) - __launch_bounds__(WARP_SIZE*nwarps, 2) -#endif // defined(RDNA3) || defined(RDNA2) -#else -#if __CUDA_ARCH__ >= CC_VOLTA - __launch_bounds__(WARP_SIZE*nwarps, 1) -#else - __launch_bounds__(WARP_SIZE*nwarps, 2) -#endif // __CUDA_ARCH__ >= CC_VOLTA -#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) -static __global__ void mul_mat_q( - const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst, - const int ne00, const int ne01, const int stride01, const int ne10, const int ne11, const int stride11, const int ne0) { - - // Skip unused template specializations for faster compilation: - if (mmq_x > get_mmq_x_max_device()) { - NO_DEVICE_CODE; - return; - } +template +static __device__ void mul_mat_q_process_tile( + const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst, float * __restrict__ tmp_fixup, + const int & ne00, const int & ne01, const int & stride01, const int & ne10, const int & ne11, const int & stride11, const int & ne0, + const int & it, const int & jt, const int & kb0_start, const int & kb0_stop) { constexpr int qk = ggml_cuda_type_traits::qk; constexpr int qr = ggml_cuda_type_traits::qr; constexpr int qi = ggml_cuda_type_traits::qi; - constexpr int mmq_y = get_mmq_y_device(mmq_x); + constexpr int mmq_y = get_mmq_y_device(); constexpr int vdr = mmq_type_traits::vdr; constexpr load_tiles_mmq_t load_tiles = mmq_type_traits::load_tiles; @@ -1941,20 +1926,18 @@ static __global__ void mul_mat_q( int * tile_x_sc = (int *) (tile_x_dm + txs.dm); int * tile_y = (int *) (tile_x_sc + txs.sc); // [mmq_x * (WARP_SIZE + WARP_SIZE/QI8_1)] - const int blocks_per_row_x = ne00 / qk; - const int blocks_per_warp = WARP_SIZE / qi; - - const int & ne1 = ne11; - - const int tile_x_max_i = ne01 - blockIdx.x*mmq_y - 1; - - const int * y = (const int *) yc + blockIdx.y*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int)); + constexpr int blocks_per_warp = WARP_SIZE / qi; float sum[mmq_x*mmq_y / (nwarps*WARP_SIZE)] = {0.0f}; - for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) { + const int tile_x_max_i = ne01 - it*mmq_y - 1; + const int tile_y_max_j = ne11 - jt*mmq_x - 1; - load_tiles(x, tile_x_qs, tile_x_dm, tile_x_sc, stride01*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride01); + const int * y = (const int *) yc + jt*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int)); + + for (int kb0 = kb0_start; kb0 < kb0_stop; kb0 += blocks_per_warp) { + + load_tiles(x, tile_x_qs, tile_x_dm, tile_x_sc, stride01*it*mmq_y + kb0, tile_x_max_i, stride01); #pragma unroll for (int kr = 0; kr < qr; ++kr) { @@ -1977,7 +1960,176 @@ static __global__ void mul_mat_q( } } - write_back(sum, dst, ne0, ne1); + if (fixup) { + write_back(sum, tmp_fixup + blockIdx.x*(mmq_x*mmq_y), mmq_y, mmq_y, mmq_x); + } else { + write_back(sum, dst + jt*mmq_x*ne0 + it*mmq_y, ne0, tile_x_max_i, tile_y_max_j); + } +} + + +// The mul_mat_q kernel implements "stream-k" work partitioning as described in https://arxiv.org/abs/2301.03598 + +template +#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) +#if defined(RDNA3) || defined(RDNA2) + __launch_bounds__(WARP_SIZE*nwarps, 2) +#endif // defined(RDNA3) || defined(RDNA2) +#else +#if __CUDA_ARCH__ >= CC_VOLTA + __launch_bounds__(WARP_SIZE*nwarps, 1) +#else + __launch_bounds__(WARP_SIZE*nwarps, 2) +#endif // __CUDA_ARCH__ >= CC_VOLTA +#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) +static __global__ void mul_mat_q( + const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst, float * __restrict__ tmp_fixup, + const int ne00, const int ne01, const int stride01, const int ne10, const int ne11, const int stride11, const int ne0) { + + // Skip unused template specializations for faster compilation: + if (mmq_x > get_mmq_x_max_device()) { + NO_DEVICE_CODE; + return; + } + + constexpr int qk = ggml_cuda_type_traits::qk; + constexpr int qi = ggml_cuda_type_traits::qi; + constexpr int mmq_y = get_mmq_y_device(); + + // On AMD or old CUDA the performance with stream-k was worse, use conventional tiling instead: +#if (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ < CC_VOLTA + { + constexpr bool fixup = false; + mul_mat_q_process_tile + (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0, + blockIdx.x, blockIdx.y, 0, ne00/qk); + return; + } +#endif // (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ < CC_VOLTA + + const int64_t blocks_per_ne00 = ne00 / qk; + constexpr int blocks_per_warp = WARP_SIZE / qi; + + const int ntx = (ne11 + mmq_x - 1) / mmq_x; // Number of tiles x + const int nty = (ne01 + mmq_y - 1) / mmq_y; // Number of tiles y + + // kbc == k block continuous, current index in continuous ijk space. + int64_t kbc = GGML_PAD((int64_t) blockIdx.x *blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp); + const int64_t kbc_stop = GGML_PAD((int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp); + + // kb0 == k index when doing the matrix multiplication for an output tile. + int kb0_start = kbc % blocks_per_ne00; + int kb0_stop = min(blocks_per_ne00, kb0_start + kbc_stop - kbc); + while (kbc < kbc_stop && kb0_stop == blocks_per_ne00) { + const int jt = kbc / (blocks_per_ne00*nty); // j index of current tile. + const int it = (kbc - jt*(blocks_per_ne00*nty)) / blocks_per_ne00; // i index of current tile. + + constexpr bool fixup = false; // All but (potentially) the last iterations write their data to dst rather than the fixup buffer. + mul_mat_q_process_tile + (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0, + it, jt, kb0_start, kb0_stop); + + kbc += blocks_per_ne00; + kbc -= kbc % blocks_per_ne00; + + kb0_start = 0; + kb0_stop = min(blocks_per_ne00, kbc_stop - kbc); + } + + if (kbc >= kbc_stop) { + return; + } + + const int jt = kbc / (blocks_per_ne00*nty); + const int it = (kbc - jt*(blocks_per_ne00*nty)) / blocks_per_ne00; + + constexpr bool fixup = true; // Last index writes it data to fixup buffer to avoid data races with other blocks. + mul_mat_q_process_tile + (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0, + it, jt, kb0_start, kb0_stop); +} + + +template +static __global__ void mul_mat_q_stream_k_fixup( + float * __restrict__ dst, const float * __restrict__ tmp_last_tile, const int ne00, const int ne01, const int ne11, const int ne0, const int block_num_mmq) { + + constexpr int mmq_y = get_mmq_y_device(); + constexpr int qk = ggml_cuda_type_traits::qk; + constexpr int qi = ggml_cuda_type_traits::qi; + constexpr int blocks_per_warp = WARP_SIZE / qi; + const int64_t blocks_per_ne00 = ne00 / qk; + + float sum[mmq_x*mmq_y / (nwarps*WARP_SIZE)] = {0.0f}; + + const int ntx = (ne11 + mmq_x - 1) / mmq_x; + const int nty = (ne01 + mmq_y - 1) / mmq_y; + + bool any_fixup = false; + + const int bidx_start = (blockIdx.y*nty + blockIdx.x) * block_num_mmq / (gridDim.y*gridDim.x); + const int bidx_stop = (blockIdx.y*nty + blockIdx.x + 1) * block_num_mmq / (gridDim.y*gridDim.x) + 1; + + for (int bidx = bidx_start; bidx < bidx_stop; ++bidx) { + const int64_t kbc = GGML_PAD((int64_t) bidx *blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp); + const int64_t kbc_stop = GGML_PAD((int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp); + + // Skip fixup tile if the MMQ CUDA block never wrote anything to it: + if (kbc == kbc_stop || kbc_stop % blocks_per_ne00 == 0) { + continue; + } + + const int jt = kbc_stop / (blocks_per_ne00*nty); + const int it = (kbc_stop - jt*(blocks_per_ne00*nty)) / blocks_per_ne00; + + // Skip fixup tile if it's unrelated to the output tile assigned to this CUDA block: + if (it != blockIdx.x || jt != blockIdx.y) { + continue; + } + + any_fixup = true; + +#pragma unroll + for (int j0 = 0; j0 < mmq_x; j0 += nwarps) { + const int j = j0 + threadIdx.y; + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + + sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE] += tmp_last_tile[bidx*(mmq_x*mmq_y) + j*mmq_y + i]; + } + } + } + + if (!any_fixup) { + return; + } + + dst += blockIdx.y*mmq_x*ne0 + blockIdx.x*mmq_y; + + const int i_max = ne01 - blockIdx.x*mmq_y - 1; + const int j_max = ne11 - blockIdx.y*mmq_x - 1; + +#pragma unroll + for (int j0 = 0; j0 < mmq_x; j0 += nwarps) { + const int j = j0 + threadIdx.y; + + if (j > j_max) { + return; + } + +#pragma unroll + for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) { + const int i = i0 + threadIdx.x; + + if (need_check && i > i_max) { + continue; + } + + dst[j*ne0 + i] += sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE]; + } + } } struct mmq_args { @@ -1987,124 +2139,151 @@ struct mmq_args { int64_t ne0; }; -constexpr int mmq_get_nwarps(int mmq_x) { - return mmq_x >= 32 ? 8 : 4; -} - static int mmq_get_shmem(const ggml_type type, const int mmq_x, const int mmq_y) { const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y); - const int nwarps = mmq_get_nwarps(mmq_x); const int shmem_x = txs.qs*sizeof(int) + txs.dm*sizeof(half2) + txs.sc*sizeof(int); const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2); - return shmem_x + GGML_PAD(shmem_y, nwarps*WARP_SIZE*sizeof(int)); + return shmem_x + GGML_PAD(shmem_y, MMQ_NWARPS*WARP_SIZE*sizeof(int)); } -template -static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) { +template +static void launch_mul_mat_q(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) { const int id = ggml_cuda_get_device(); const int cc = ggml_cuda_info().devices[id].cc; - const int mmq_y = get_mmq_y_host(cc, mmq_x); + const int nsm = ggml_cuda_info().devices[id].nsm; + const int mmq_y = get_mmq_y_host(cc); - const int block_num_x = (args.ne01 + mmq_y - 1) / mmq_y; - const int block_num_y = (args.ne11 + mmq_x - 1) / mmq_x; - const dim3 block_nums(block_num_x, block_num_y, 1); - const dim3 block_dims(WARP_SIZE, nwarps, 1); + const dim3 block_dims(WARP_SIZE, MMQ_NWARPS, 1); const int shmem = mmq_get_shmem(type, mmq_x, mmq_y); #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) static bool shmem_limit_raised[GGML_CUDA_MAX_DEVICES] = {false}; if (!shmem_limit_raised[id]) { - CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem)); - CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem)); + CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem)); + CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem)); shmem_limit_raised[id] = true; } #endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) + const int nty = (args.ne01 + mmq_y - 1) / mmq_y; + const int ntx = (args.ne11 + mmq_x - 1) / mmq_x; + const dim3 block_nums_xy_tiling(nty, ntx, 1); + + const bool use_stream_k = cc >= CC_VOLTA && cc < CC_OFFSET_AMD; + if (!use_stream_k) { + if (args.ne01 % mmq_y == 0) { + constexpr bool need_check = false; + mul_mat_q<<>> + (args.x, args.y, args.dst, nullptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + } else { + constexpr bool need_check = true; + mul_mat_q<<>> + (args.x, args.y, args.dst, nullptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + } + return; + } + + const dim3 block_nums_mmq(nsm, 1, 1); + + ggml_cuda_pool & pool = ctx.pool(); + ggml_cuda_pool_alloc tmp_fixup(pool, block_nums_mmq.x * mmq_x*mmq_y); + if (args.ne01 % mmq_y == 0) { - const bool need_check = false; - mul_mat_q<<>> - (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + constexpr bool need_check = false; + + mul_mat_q<<>> + (args.x, args.y, args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + + mul_mat_q_stream_k_fixup<<>> + (args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.ne11, args.ne0, block_nums_mmq.x); } else { - const bool need_check = true; - mul_mat_q<<>> - (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + constexpr bool need_check = true; + + mul_mat_q<<>> + (args.x, args.y, args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0); + + mul_mat_q_stream_k_fixup<<>> + (args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.ne11, args.ne0, block_nums_mmq.x); } } template -void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) { +void mul_mat_q_case(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) { const int id = ggml_cuda_get_device(); const int nsm = ggml_cuda_info().devices[id].nsm; const int cc = ggml_cuda_info().devices[id].cc; const int smpbo = ggml_cuda_info().devices[id].smpbo; const int mmq_x_max = get_mmq_x_max_host(cc); - const int mmq_y = get_mmq_y_host(cc, mmq_x_max); + const int mmq_y = get_mmq_y_host(cc); const int block_num_y = (args.ne01 + mmq_y - 1) / mmq_y; + const bool use_stream_k = cc >= CC_VOLTA && cc < CC_OFFSET_AMD; int mmq_x_best = 0; - int nwaves_best = INT_MAX; + int nparts_best = INT_MAX; - for (int mmq_x = 8; mmq_x <= mmq_x_max && nwaves_best > 1; mmq_x += 8) { - const int block_num_x = (args.ne11 + mmq_x - 1) / mmq_x; - const int nwaves = (block_num_x*block_num_y + nsm - 1) / nsm; + for (int mmq_x = 8; mmq_x <= mmq_x_max && nparts_best > 1; mmq_x += 8) { + const int ntiles_x = (args.ne11 + mmq_x - 1) / mmq_x; + const int nwaves_xy_tiling = ntiles_x*block_num_y; - if (nwaves < nwaves_best && mmq_get_shmem(type, mmq_x, mmq_y) <= smpbo) { + const int nparts = use_stream_k ? ntiles_x : nwaves_xy_tiling; + + if (nparts < nparts_best && mmq_get_shmem(type, mmq_x, mmq_y) <= smpbo) { mmq_x_best = mmq_x; - nwaves_best = nwaves; + nparts_best = nparts; } } switch (mmq_x_best) { case 8: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 16: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 24: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 32: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 40: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 48: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 56: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 64: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 72: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 80: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 88: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 96: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 104: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 112: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 120: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; case 128: - launch_mul_mat_q(args, stream); + launch_mul_mat_q(ctx, args, stream); break; default: fprintf(stderr, "mmq_x_best=%d\n", mmq_x_best); @@ -2114,7 +2293,7 @@ void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) { } #define DECL_MMQ_CASE(type) \ - template void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) \ + template void mul_mat_q_case(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) \ extern DECL_MMQ_CASE(GGML_TYPE_Q4_0); extern DECL_MMQ_CASE(GGML_TYPE_Q4_1); From de391e4c803383bbea054b6edd016e78c024a74d Mon Sep 17 00:00:00 2001 From: luoyu-intel Date: Thu, 20 Jun 2024 13:19:05 +0000 Subject: [PATCH 36/59] [SYCL] Fix windows build and inference (#8003) * add sycl preset * fix debug link error. fix windows crash * update README --- CMakeLists.txt | 7 +- CMakePresets.json | 31 ++- README-sycl.md | 30 ++- examples/sycl/win-build-sycl.bat | 6 +- ggml-sycl.cpp | 2 +- ggml-sycl/dpct/helper.hpp | 392 ++++++++++++++----------------- ggml.h | 6 + 7 files changed, 230 insertions(+), 244 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index c90414afa..9cfe08d7b 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -665,6 +665,7 @@ if (LLAMA_SYCL) #todo: AOT find_package(IntelSYCL REQUIRED) + find_package(MKL REQUIRED) message(STATUS "SYCL found") @@ -679,11 +680,9 @@ if (LLAMA_SYCL) endif() add_compile_options(-I./) #include DPCT - add_compile_options(-I/${SYCL_INCLUDE_DIR}) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-narrowing") set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3") - set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib") if (LLAMA_SYCL_TARGET STREQUAL "NVIDIA") set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl-targets=nvptx64-nvidia-cuda") endif() @@ -693,8 +692,10 @@ if (LLAMA_SYCL) list(APPEND GGML_SOURCES_SYCL "ggml-sycl.cpp") if (WIN32) - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl sycl7 OpenCL mkl_sycl_blas_dll.lib mkl_intel_ilp64_dll.lib mkl_sequential_dll.lib mkl_core_dll.lib) + set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} IntelSYCL::SYCL_CXX MKL::MKL MKL::MKL_SYCL) else() + add_compile_options(-I/${SYCL_INCLUDE_DIR}) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib") if (LLAMA_SYCL_TARGET STREQUAL "INTEL") set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread) elseif (LLAMA_SYCL_TARGET STREQUAL "NVIDIA") diff --git a/CMakePresets.json b/CMakePresets.json index e2b7a79e3..fba22af9a 100644 --- a/CMakePresets.json +++ b/CMakePresets.json @@ -11,9 +11,21 @@ "CMAKE_INSTALL_RPATH": "$ORIGIN;$ORIGIN/.." } }, - + { + "name": "sycl-base", + "hidden": true, + "generator": "Ninja", + "binaryDir": "${sourceDir}/build-${presetName}", + "cacheVariables": { + "CMAKE_EXPORT_COMPILE_COMMANDS": "ON", + "CMAKE_CXX_COMPILER": "icx", + "LLAMA_SYCL": "ON", + "CMAKE_INSTALL_RPATH": "$ORIGIN;$ORIGIN/.." + } + }, { "name": "debug", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "Debug" } }, - { "name": "release", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "RelWithDebInfo" } }, + { "name": "release", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "Release" } }, + { "name": "reldbg", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "RelWithDebInfo" } }, { "name": "static", "hidden": true, "cacheVariables": { "LLAMA_STATIC": "ON" } }, { @@ -35,15 +47,18 @@ }, { "name": "arm64-windows-llvm-debug" , "inherits": [ "base", "arm64-windows-llvm", "debug" ] }, - { "name": "arm64-windows-llvm-release", "inherits": [ "base", "arm64-windows-llvm", "release" ] }, - { "name": "arm64-windows-llvm+static-release", "inherits": [ "base", "arm64-windows-llvm", "release", "static" ] }, + { "name": "arm64-windows-llvm-release", "inherits": [ "base", "arm64-windows-llvm", "reldbg" ] }, + { "name": "arm64-windows-llvm+static-release", "inherits": [ "base", "arm64-windows-llvm", "reldbg", "static" ] }, { "name": "arm64-windows-msvc-debug" , "inherits": [ "base", "arm64-windows-msvc", "debug" ] }, - { "name": "arm64-windows-msvc-release", "inherits": [ "base", "arm64-windows-msvc", "release" ] }, - { "name": "arm64-windows-msvc+static-release", "inherits": [ "base", "arm64-windows-msvc", "release", "static" ] }, + { "name": "arm64-windows-msvc-release", "inherits": [ "base", "arm64-windows-msvc", "reldbg" ] }, + { "name": "arm64-windows-msvc+static-release", "inherits": [ "base", "arm64-windows-msvc", "reldbg", "static" ] }, { "name": "x64-windows-msvc-debug" , "inherits": [ "base", "debug" ] }, - { "name": "x64-windows-msvc-release", "inherits": [ "base", "release" ] }, - { "name": "x64-windows-msvc+static-release", "inherits": [ "base", "release", "static" ] } + { "name": "x64-windows-msvc-release", "inherits": [ "base", "reldbg" ] }, + { "name": "x64-windows-msvc+static-release", "inherits": [ "base", "reldbg", "static" ] }, + + { "name": "x64-windows-sycl-debug" , "inherits": [ "sycl-base", "debug" ] }, + { "name": "x64-windows-sycl-release", "inherits": [ "sycl-base", "release" ] } ] } diff --git a/README-sycl.md b/README-sycl.md index bd1984706..b7e2bb12a 100644 --- a/README-sycl.md +++ b/README-sycl.md @@ -410,15 +410,9 @@ Output (example): 4. Install build tools -a. Download & install cmake for Windows: https://cmake.org/download/ +a. Download & install cmake for Windows: https://cmake.org/download/ (CMake can also be installed from Visual Studio Installer) +b. The new Visual Studio will install Ninja as default. (If not, please install it manually: https://ninja-build.org/) -b. Download & install mingw-w64 make for Windows provided by w64devkit - -- Download the 1.19.0 version of [w64devkit](https://github.com/skeeto/w64devkit/releases/download/v1.19.0/w64devkit-1.19.0.zip). - -- Extract `w64devkit` on your pc. - -- Add the **bin** folder path in the Windows system PATH environment (for e.g. `C:\xxx\w64devkit\bin\`). ### II. Build llama.cpp @@ -428,10 +422,10 @@ On the oneAPI command line window, step into the llama.cpp main directory and ru @call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force # Option 1: Use FP32 (recommended for better performance in most cases) -cmake -B build -G "MinGW Makefiles" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release +cmake -B build -G "Ninja" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release # Option 2: Or FP16 -cmake -B build -G "MinGW Makefiles" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON +cmake -B build -G "Ninja" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON cmake --build build --config Release -j ``` @@ -441,9 +435,23 @@ Otherwise, run the `win-build-sycl.bat` wrapper which encapsulates the former in .\examples\sycl\win-build-sycl.bat ``` +Or, use CMake presets to build: +```sh +cmake --preset x64-windows-sycl-release +cmake --build build-x64-windows-sycl-release -j --target llama-cli + +cmake -DLLAMA_SYCL_F16=ON --preset x64-windows-sycl-release +cmake --build build-x64-windows-sycl-release -j --target llama-cli + +cmake --preset x64-windows-sycl-debug +cmake --build build-x64-windows-sycl-debug -j --target llama-cli +``` + +Or, you can use Visual Studio to open llama.cpp folder as a CMake project. Choose the sycl CMake presets (`x64-windows-sycl-release` or `x64-windows-sycl-debug`) before you compile the project. + *Notes:* -- By default, calling `make` will build all target binary files. In case of a minimal experimental setup, the user can build the inference executable only through `make llama-cli`. +- In case of a minimal experimental setup, the user can build the inference executable only through `cmake --build build --config Release -j --target llama-cli`. ### III. Run the inference diff --git a/examples/sycl/win-build-sycl.bat b/examples/sycl/win-build-sycl.bat index b8037aae8..027173b0a 100644 --- a/examples/sycl/win-build-sycl.bat +++ b/examples/sycl/win-build-sycl.bat @@ -13,16 +13,16 @@ if %errorlevel% neq 0 goto ERROR :: for FP16 :: faster for long-prompt inference -:: cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON +:: cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON :: for FP32 -cmake -G "MinGW Makefiles" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release +cmake -G "Ninja" .. -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release if %errorlevel% neq 0 goto ERROR :: build example/main only :: make main :: build all binary -make -j +cmake --build . -j if %errorlevel% neq 0 goto ERROR cd .. diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp index 485f06ad3..e5ddf4a34 100644 --- a/ggml-sycl.cpp +++ b/ggml-sycl.cpp @@ -4911,7 +4911,7 @@ static void ggml_sycl_cpy(ggml_backend_sycl_context & ctx, const ggml_tensor *sr GGML_ASSERT(ggml_nbytes(src0) <= INT_MAX); GGML_ASSERT(ggml_nbytes(src1) <= INT_MAX); - GGML_TENSOR_BINARY_OP_LOCALS; + GGML_TENSOR_BINARY_OP_LOCALS01; SYCL_CHECK(ggml_sycl_set_device(ctx.device)); queue_ptr main_stream = ctx.stream(); diff --git a/ggml-sycl/dpct/helper.hpp b/ggml-sycl/dpct/helper.hpp index 017fd6ee1..1ff297218 100644 --- a/ggml-sycl/dpct/helper.hpp +++ b/ggml-sycl/dpct/helper.hpp @@ -588,266 +588,222 @@ namespace dpct out = prop; } - /// dpct device extension - class device_ext : public sycl::device - { - typedef std::mutex mutex_type; + /// dpct device extension + class device_ext : public sycl::device { + typedef std::mutex mutex_type; - public: - device_ext() : sycl::device(), _ctx(*this) {} - ~device_ext() - { - std::lock_guard lock(m_mutex); - clear_queues(); - } - device_ext(const sycl::device &base) : sycl::device(base), _ctx(*this) - { - std::lock_guard lock(m_mutex); - init_queues(); - } + public: + device_ext() : sycl::device() {} + ~device_ext() { + std::lock_guard lock(m_mutex); + clear_queues(); + } + device_ext(const sycl::device &base) : sycl::device(base) { + std::lock_guard lock(m_mutex); + init_queues(); + } - int is_native_atomic_supported() { return 0; } - int get_major_version() const - { - return dpct::get_major_version(*this); - } + int is_native_atomic_supported() { return 0; } + int get_major_version() const { return dpct::get_major_version(*this); } - int get_minor_version() const - { - return dpct::get_minor_version(*this); - } + int get_minor_version() const { return dpct::get_minor_version(*this); } - int get_max_compute_units() const - { - return get_device_info().get_max_compute_units(); - } + int get_max_compute_units() const { + return get_device_info().get_max_compute_units(); + } - /// Return the maximum clock frequency of this device in KHz. - int get_max_clock_frequency() const - { - return get_device_info().get_max_clock_frequency(); - } + /// Return the maximum clock frequency of this device in KHz. + int get_max_clock_frequency() const { + return get_device_info().get_max_clock_frequency(); + } - int get_integrated() const { return get_device_info().get_integrated(); } + int get_integrated() const { return get_device_info().get_integrated(); } - int get_max_sub_group_size() const - { - return get_device_info().get_max_sub_group_size(); - } + int get_max_sub_group_size() const { + return get_device_info().get_max_sub_group_size(); + } - int get_max_register_size_per_work_group() const - { - return get_device_info().get_max_register_size_per_work_group(); - } + int get_max_register_size_per_work_group() const { + return get_device_info().get_max_register_size_per_work_group(); + } - int get_max_work_group_size() const - { - return get_device_info().get_max_work_group_size(); - } + int get_max_work_group_size() const { + return get_device_info().get_max_work_group_size(); + } - int get_mem_base_addr_align() const - { - return get_info(); - } + int get_mem_base_addr_align() const { + return get_info(); + } - size_t get_global_mem_size() const - { - return get_device_info().get_global_mem_size(); - } + size_t get_global_mem_size() const { + return get_device_info().get_global_mem_size(); + } - size_t get_max_mem_alloc_size() const - { - return get_device_info().get_max_mem_alloc_size(); - } + size_t get_max_mem_alloc_size() const { + return get_device_info().get_max_mem_alloc_size(); + } - /// Get the number of bytes of free and total memory on the SYCL device. - /// \param [out] free_memory The number of bytes of free memory on the SYCL device. - /// \param [out] total_memory The number of bytes of total memory on the SYCL device. - void get_memory_info(size_t &free_memory, size_t &total_memory) - { - total_memory = get_device_info().get_global_mem_size(); - const char *warning_info = "get_memory_info: [warning] ext_intel_free_memory is not " - "supported (export/set ZES_ENABLE_SYSMAN=1 to support), " - "use total memory as free memory"; + /// Get the number of bytes of free and total memory on the SYCL device. + /// \param [out] free_memory The number of bytes of free memory on the + /// SYCL device. \param [out] total_memory The number of bytes of total + /// memory on the SYCL device. + void get_memory_info(size_t &free_memory, size_t &total_memory) { + total_memory = get_device_info().get_global_mem_size(); + const char *warning_info = + "get_memory_info: [warning] ext_intel_free_memory is not " + "supported (export/set ZES_ENABLE_SYSMAN=1 to support), " + "use total memory as free memory"; #if (defined(__SYCL_COMPILER_VERSION) && __SYCL_COMPILER_VERSION >= 20221105) - if (!has(sycl::aspect::ext_intel_free_memory)) - { - std::cerr << warning_info << std::endl; - free_memory = total_memory; - } - else - { - free_memory = get_info(); - } + if (!has(sycl::aspect::ext_intel_free_memory)) { + std::cerr << warning_info << std::endl; + free_memory = total_memory; + } else { + free_memory = get_info(); + } #else - std::cerr << warning_info << std::endl; - free_memory = total_memory; + std::cerr << warning_info << std::endl; + free_memory = total_memory; #if defined(_MSC_VER) && !defined(__clang__) #pragma message("Querying the number of bytes of free memory is not supported") #else #warning "Querying the number of bytes of free memory is not supported" #endif #endif + } + + void get_device_info(device_info &out) const { + dpct::get_device_info(out, *this); + } + + device_info get_device_info() const { + device_info prop; + dpct::get_device_info(prop, *this); + return prop; + } + + void reset() { + std::lock_guard lock(m_mutex); + clear_queues(); + init_queues(); + } + + sycl::queue &in_order_queue() { return _q_in_order; } + + sycl::queue &out_of_order_queue() { return _q_out_of_order; } + + sycl::queue &default_queue() { return in_order_queue(); } + + void queues_wait_and_throw() { + std::unique_lock lock(m_mutex); + lock.unlock(); + for (auto &q : _queues) { + q.wait_and_throw(); } + // Guard the destruct of current_queues to make sure the ref count is + // safe. + lock.lock(); + } - void get_device_info(device_info &out) const - { - dpct::get_device_info(out, *this); - } + sycl::queue create_queue(bool enable_exception_handler = false) { + return create_in_order_queue(enable_exception_handler); + } - device_info get_device_info() const - { - device_info prop; - dpct::get_device_info(prop, *this); - return prop; - } + sycl::queue create_queue(sycl::device device, + bool enable_exception_handler = false) { + return create_in_order_queue(device, enable_exception_handler); + } - void reset() - { - std::lock_guard lock(m_mutex); - clear_queues(); - init_queues(); - } + sycl::queue create_in_order_queue(bool enable_exception_handler = false) { + std::lock_guard lock(m_mutex); + return create_queue_impl(enable_exception_handler, + sycl::property::queue::in_order()); + } - sycl::queue &in_order_queue() { return *_q_in_order; } - - sycl::queue &out_of_order_queue() { return *_q_out_of_order; } - - sycl::queue &default_queue() - { - return in_order_queue(); - } - - void queues_wait_and_throw() - { - std::unique_lock lock(m_mutex); - std::vector> current_queues( - _queues); - lock.unlock(); - for (const auto &q : current_queues) - { - q->wait_and_throw(); - } - // Guard the destruct of current_queues to make sure the ref count is safe. - lock.lock(); - } - - sycl::queue *create_queue(bool enable_exception_handler = false) - { - return create_in_order_queue(enable_exception_handler); - } - - sycl::queue *create_queue(sycl::context context, sycl::device device, - bool enable_exception_handler = false) { - return create_in_order_queue(context, device, enable_exception_handler); - } - - sycl::queue *create_in_order_queue(bool enable_exception_handler = false) { - std::lock_guard lock(m_mutex); - return create_queue_impl(enable_exception_handler, - sycl::property::queue::in_order()); - } - - sycl::queue *create_in_order_queue(sycl::context context, sycl::device device, + sycl::queue create_in_order_queue(sycl::device device, bool enable_exception_handler = false) { - std::lock_guard lock(m_mutex); - return create_queue_impl(context, device, enable_exception_handler, - sycl::property::queue::in_order()); - } + std::lock_guard lock(m_mutex); + return create_queue_impl(device, enable_exception_handler, + sycl::property::queue::in_order()); + } - sycl::queue *create_out_of_order_queue(bool enable_exception_handler = false) { - std::lock_guard lock(m_mutex); - return create_queue_impl(enable_exception_handler); - } + sycl::queue create_out_of_order_queue( + bool enable_exception_handler = false) { + std::lock_guard lock(m_mutex); + return create_queue_impl(enable_exception_handler); + } - void destroy_queue(sycl::queue *&queue) - { - std::lock_guard lock(m_mutex); - _queues.erase(std::remove_if(_queues.begin(), _queues.end(), - [=](const std::shared_ptr &q) -> bool - { - return q.get() == queue; - }), - _queues.end()); - queue = nullptr; - } - void set_saved_queue(sycl::queue *q) - { - std::lock_guard lock(m_mutex); - _saved_queue = q; - } - sycl::queue *get_saved_queue() const - { - std::lock_guard lock(m_mutex); - return _saved_queue; - } - sycl::context get_context() const { return _ctx; } + void destroy_queue(sycl::queue queue) { + std::lock_guard lock(m_mutex); + _queues.clear(); + } + void set_saved_queue(sycl::queue q) { + std::lock_guard lock(m_mutex); + _saved_queue = q; + } + sycl::queue get_saved_queue() const { + std::lock_guard lock(m_mutex); + return _saved_queue; + } - private: - void clear_queues() - { - _queues.clear(); - _q_in_order = _q_out_of_order = _saved_queue = nullptr; - } + private: + void clear_queues() { _queues.clear(); } - void init_queues() - { - _q_in_order = create_queue_impl(true, sycl::property::queue::in_order()); - _q_out_of_order = create_queue_impl(true); - _saved_queue = &default_queue(); - } + void init_queues() { + _q_in_order = + create_queue_impl(true, sycl::property::queue::in_order()); + _q_out_of_order = create_queue_impl(true); + _saved_queue = default_queue(); + } - /// Caller should acquire resource \p m_mutex before calling this function. - template - sycl::queue *create_queue_impl(bool enable_exception_handler, - Properties... properties) - { - sycl::async_handler eh = {}; - if (enable_exception_handler) - { - eh = exception_handler; - } - _queues.push_back(std::make_shared( - _ctx, *this, eh, - sycl::property_list( + /// Caller should acquire resource \p m_mutex before calling this + /// function. + template + sycl::queue create_queue_impl(bool enable_exception_handler, + Properties... properties) { + sycl::async_handler eh = {}; + if (enable_exception_handler) { + eh = exception_handler; + } + auto q = sycl::queue(*this, eh, + sycl::property_list( #ifdef DPCT_PROFILING_ENABLED - sycl::property::queue::enable_profiling(), + sycl::property::queue::enable_profiling(), #endif - properties...))); + properties...)); + _queues.push_back(q); - return _queues.back().get(); - } + return _queues.back(); + } - template - sycl::queue *create_queue_impl(sycl::context context, sycl::device device, + template + sycl::queue create_queue_impl(sycl::device device, bool enable_exception_handler, Properties... properties) { - sycl::async_handler eh = {}; - if (enable_exception_handler) { - eh = exception_handler; - } - _queues.push_back(std::make_shared( - context, device, eh, - sycl::property_list( - #ifdef DPCT_PROFILING_ENABLED - sycl::property::queue::enable_profiling(), - #endif - properties...))); - - return _queues.back().get(); + sycl::async_handler eh = {}; + if (enable_exception_handler) { + eh = exception_handler; } + _queues.push_back( + sycl::queue(device, eh, + sycl::property_list( +#ifdef DPCT_PROFILING_ENABLED + sycl::property::queue::enable_profiling(), +#endif + properties...))); - void get_version(int &major, int &minor) const - { - detail::get_version(*this, major, minor); - } - sycl::queue *_q_in_order, *_q_out_of_order; - sycl::queue *_saved_queue; - sycl::context _ctx; - std::vector> _queues; - mutable mutex_type m_mutex; + return _queues.back(); + } + + void get_version(int &major, int &minor) const { + detail::get_version(*this, major, minor); + } + sycl::queue _q_in_order, _q_out_of_order; + sycl::queue _saved_queue; + std::vector _queues; + mutable mutex_type m_mutex; }; + /// device manager class dev_mgr { diff --git a/ggml.h b/ggml.h index 13502a362..2e8fd0dbc 100644 --- a/ggml.h +++ b/ggml.h @@ -312,6 +312,12 @@ GGML_TENSOR_LOCALS(int64_t, ne, dst, ne) \ GGML_TENSOR_LOCALS(size_t, nb, dst, nb) +#define GGML_TENSOR_BINARY_OP_LOCALS01 \ + GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \ + GGML_TENSOR_LOCALS(size_t, nb0, src0, nb) \ + GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne) \ + GGML_TENSOR_LOCALS(size_t, nb1, src1, nb) + #ifdef __cplusplus extern "C" { #endif From abd894ad96a242043b8e197ec130d8649eead22e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Thu, 20 Jun 2024 16:40:13 +0200 Subject: [PATCH 37/59] common: fix warning (#8036) * common: fix warning * Update common/common.cpp Co-authored-by: slaren --------- Co-authored-by: slaren --- common/common.cpp | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/common/common.cpp b/common/common.cpp index 73ff0e85b..9c23d001b 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -6,7 +6,6 @@ #include "llama.h" #include -#include #include #include #include @@ -2657,7 +2656,14 @@ static bool llama_download_file(const std::string & url, const std::string & pat } // Set the output file - std::unique_ptr outfile(fopen(path_temporary.c_str(), "wb"), fclose); + + struct FILE_deleter { + void operator()(FILE * f) const { + fclose(f); + } + }; + + std::unique_ptr outfile(fopen(path_temporary.c_str(), "wb")); if (!outfile) { fprintf(stderr, "%s: error opening local file for writing: %s\n", __func__, path.c_str()); return false; From 17b291a6a581c47f24f99bad926b42617894f99f Mon Sep 17 00:00:00 2001 From: Hamdoud Hakem <90524568+hamdoudhakem@users.noreply.github.com> Date: Thu, 20 Jun 2024 20:59:59 +0100 Subject: [PATCH 38/59] convert-hf : Fix the encoding in the convert-hf-to-gguf-update.py (#8040) --- convert-hf-to-gguf-update.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py index fbf1e1ea3..67598b561 100755 --- a/convert-hf-to-gguf-update.py +++ b/convert-hf-to-gguf-update.py @@ -214,7 +214,7 @@ src_func = f""" """ convert_py_pth = pathlib.Path("convert-hf-to-gguf.py") -convert_py = convert_py_pth.read_text() +convert_py = convert_py_pth.read_text(encoding="utf-8") convert_py = re.sub( r"(# Marker: Start get_vocab_base_pre)(.+?)( +# Marker: End get_vocab_base_pre)", lambda m: m.group(1) + src_func + m.group(3), @@ -222,7 +222,7 @@ convert_py = re.sub( flags=re.DOTALL | re.MULTILINE, ) -convert_py_pth.write_text(convert_py) +convert_py_pth.write_text(convert_py, encoding="utf-8") logger.info("+++ convert-hf-to-gguf.py was updated") From b1ef562bc17fbf8ba436ddf2d89b78efd10d3e03 Mon Sep 17 00:00:00 2001 From: Hamdoud Hakem <90524568+hamdoudhakem@users.noreply.github.com> Date: Thu, 20 Jun 2024 21:01:15 +0100 Subject: [PATCH 39/59] requirements : Bump torch and numpy for python3.12 (#8041) --- requirements/requirements-convert-hf-to-gguf-update.txt | 2 +- requirements/requirements-convert-hf-to-gguf.txt | 2 +- requirements/requirements-convert-legacy-llama.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/requirements/requirements-convert-hf-to-gguf-update.txt b/requirements/requirements-convert-hf-to-gguf-update.txt index 6eacaf429..a7112f396 100644 --- a/requirements/requirements-convert-hf-to-gguf-update.txt +++ b/requirements/requirements-convert-hf-to-gguf-update.txt @@ -1,2 +1,2 @@ -r ./requirements-convert-legacy-llama.txt -torch~=2.1.1 +torch~=2.2.1 diff --git a/requirements/requirements-convert-hf-to-gguf.txt b/requirements/requirements-convert-hf-to-gguf.txt index 6eacaf429..a7112f396 100644 --- a/requirements/requirements-convert-hf-to-gguf.txt +++ b/requirements/requirements-convert-hf-to-gguf.txt @@ -1,2 +1,2 @@ -r ./requirements-convert-legacy-llama.txt -torch~=2.1.1 +torch~=2.2.1 diff --git a/requirements/requirements-convert-legacy-llama.txt b/requirements/requirements-convert-legacy-llama.txt index 7ab1228cb..1d07b0952 100644 --- a/requirements/requirements-convert-legacy-llama.txt +++ b/requirements/requirements-convert-legacy-llama.txt @@ -1,4 +1,4 @@ -numpy~=1.24.4 +numpy~=1.26.4 sentencepiece~=0.2.0 transformers>=4.40.1,<5.0.0 gguf>=0.1.0 From 0e64591e8290037db6412665a56354b789a0597e Mon Sep 17 00:00:00 2001 From: Shuichi Tsutsumi Date: Fri, 21 Jun 2024 14:30:58 +0900 Subject: [PATCH 40/59] swiftui : enable stream updating (#7754) --- .../llama.swiftui/Models/LlamaState.swift | 37 +++++++++++-------- 1 file changed, 22 insertions(+), 15 deletions(-) diff --git a/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift b/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift index 5bde18917..2c1e3f61b 100644 --- a/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift +++ b/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift @@ -131,22 +131,29 @@ class LlamaState: ObservableObject { messageLog += "\(text)" - while await llamaContext.n_cur < llamaContext.n_len { - let result = await llamaContext.completion_loop() - messageLog += "\(result)" + Task.detached { + while await llamaContext.n_cur < llamaContext.n_len { + let result = await llamaContext.completion_loop() + await MainActor.run { + self.messageLog += "\(result)" + } + } + + let t_end = DispatchTime.now().uptimeNanoseconds + let t_generation = Double(t_end - t_heat_end) / self.NS_PER_S + let tokens_per_second = Double(await llamaContext.n_len) / t_generation + + await llamaContext.clear() + + await MainActor.run { + self.messageLog += """ + \n + Done + Heat up took \(t_heat)s + Generated \(tokens_per_second) t/s\n + """ + } } - - let t_end = DispatchTime.now().uptimeNanoseconds - let t_generation = Double(t_end - t_heat_end) / NS_PER_S - let tokens_per_second = Double(await llamaContext.n_len) / t_generation - - await llamaContext.clear() - messageLog += """ - \n - Done - Heat up took \(t_heat)s - Generated \(tokens_per_second) t/s\n - """ } func bench() async { From 80ea089d771f0c2d97afa8bead80ded412f600d7 Mon Sep 17 00:00:00 2001 From: Douglas Hanley Date: Fri, 21 Jun 2024 00:38:22 -0500 Subject: [PATCH 41/59] llama : allow pooled embeddings on any model (#7477) * create append_pooling operation; allow to specify attention_type; add last token pooling; update examples * find result_norm/result_embd tensors properly; update output allocation logic * only use embd output for pooling_type NONE * get rid of old causal_attn accessor * take out attention_type; add in llama_set_embeddings * bypass logits when doing non-NONE pooling --- common/common.cpp | 2 + examples/embedding/embedding.cpp | 21 +++-- examples/gritlm/gritlm.cpp | 6 +- examples/retrieval/retrieval.cpp | 13 ++- llama.cpp | 152 ++++++++++++++++++++----------- llama.h | 6 +- 6 files changed, 130 insertions(+), 70 deletions(-) diff --git a/common/common.cpp b/common/common.cpp index 9c23d001b..64f160af1 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -541,6 +541,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa /**/ if (value == "none") { params.pooling_type = LLAMA_POOLING_TYPE_NONE; } else if (value == "mean") { params.pooling_type = LLAMA_POOLING_TYPE_MEAN; } else if (value == "cls") { params.pooling_type = LLAMA_POOLING_TYPE_CLS; } + else if (value == "last") { params.pooling_type = LLAMA_POOLING_TYPE_LAST; } else { invalid_param = true; } return true; } @@ -1869,6 +1870,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param options.push_back({ "backend" }); options.push_back({ "*", " --rpc SERVERS", "comma separated list of RPC servers" }); + if (llama_supports_mlock()) { options.push_back({ "*", " --mlock", "force system to keep model in RAM rather than swapping or compressing" }); } diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp index 244751e00..b4b73c017 100644 --- a/examples/embedding/embedding.cpp +++ b/examples/embedding/embedding.cpp @@ -17,9 +17,10 @@ static std::vector split_lines(const std::string & s) { return lines; } -static void batch_add_seq(llama_batch & batch, const std::vector & tokens, int seq_id) { - for (size_t i = 0; i < tokens.size(); i++) { - llama_batch_add(batch, tokens[i], i, { seq_id }, i == tokens.size() - 1); +static void batch_add_seq(llama_batch & batch, const std::vector & tokens, llama_seq_id seq_id) { + size_t n_tokens = tokens.size(); + for (size_t i = 0; i < n_tokens; i++) { + llama_batch_add(batch, tokens[i], i, { seq_id }, true); } } @@ -40,13 +41,7 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu // try to get sequence embeddings - supported only when pooling_type is not NONE const float * embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]); - if (embd == NULL) { - embd = llama_get_embeddings_ith(ctx, i); - if (embd == NULL) { - fprintf(stderr, "%s: failed to get embeddings for token %d\n", __func__, i); - continue; - } - } + GGML_ASSERT(embd != NULL && "failed to get sequence embeddings"); float * out = output + batch.seq_id[i][0] * n_embd; //TODO: I would also add a parameter here to enable normalization or not. @@ -97,6 +92,12 @@ int main(int argc, char ** argv) { const int n_ctx_train = llama_n_ctx_train(model); const int n_ctx = llama_n_ctx(ctx); + const enum llama_pooling_type pooling_type = llama_pooling_type(ctx); + if (pooling_type == LLAMA_POOLING_TYPE_NONE) { + fprintf(stderr, "%s: error: pooling type NONE not supported\n", __func__); + return 1; + } + if (n_ctx > n_ctx_train) { fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n", __func__, n_ctx_train, n_ctx); diff --git a/examples/gritlm/gritlm.cpp b/examples/gritlm/gritlm.cpp index 213515791..2c61c2e1e 100644 --- a/examples/gritlm/gritlm.cpp +++ b/examples/gritlm/gritlm.cpp @@ -44,6 +44,7 @@ static std::vector> encode(llama_context * ctx, const std::ve // clear previous kv_cache values (irrelevant for embeddings) llama_kv_cache_clear(ctx); + llama_set_embeddings(ctx, true); llama_set_causal_attn(ctx, false); // run model @@ -98,7 +99,9 @@ static std::string generate(llama_context * ctx, const std::string & prompt, boo llama_token eos_token = llama_token_eos(mdl); llama_kv_cache_clear(ctx); + llama_set_embeddings(ctx, false); llama_set_causal_attn(ctx, true); + llama_batch bat = llama_batch_init(llama_n_batch(ctx), 0, 1); std::vector inputs = llama_tokenize(mdl, prompt, false, true); @@ -166,8 +169,7 @@ int main(int argc, char * argv[]) { llama_model * mdl = llama_load_model_from_file(params.model.c_str(), mparams); - // create new context - set to embedding mode - cparams.embeddings = true; + // create generation context llama_context * ctx = llama_new_context_with_model(mdl, cparams); // ### Embedding/Representation ### diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp index 55b7b2f70..eb89d16da 100644 --- a/examples/retrieval/retrieval.cpp +++ b/examples/retrieval/retrieval.cpp @@ -73,9 +73,10 @@ static std::vector chunk_file(const std::string & filename, int chunk_siz return chunks; } -static void batch_add_seq(llama_batch & batch, const std::vector & tokens, int seq_id) { - for (size_t i = 0; i < tokens.size(); i++) { - llama_batch_add(batch, tokens[i], i, { seq_id }, i == tokens.size() - 1); +static void batch_add_seq(llama_batch & batch, const std::vector & tokens, llama_seq_id seq_id) { + size_t n_tokens = tokens.size(); + for (size_t i = 0; i < n_tokens; i++) { + llama_batch_add(batch, tokens[i], i, { seq_id }, true); } } @@ -160,6 +161,12 @@ int main(int argc, char ** argv) { const int n_ctx_train = llama_n_ctx_train(model); const int n_ctx = llama_n_ctx(ctx); + const enum llama_pooling_type pooling_type = llama_pooling_type(ctx); + if (pooling_type == LLAMA_POOLING_TYPE_NONE) { + fprintf(stderr, "%s: error: pooling type NONE not supported\n", __func__); + return 1; + } + if (n_ctx > n_ctx_train) { fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n", __func__, n_ctx_train, n_ctx); diff --git a/llama.cpp b/llama.cpp index 8818c6928..9ca0b7479 100644 --- a/llama.cpp +++ b/llama.cpp @@ -7649,6 +7649,50 @@ struct llm_build_context { return lctx.inp_s_seq; } + struct ggml_cgraph * append_pooling(struct ggml_cgraph * gf) { + // find result_norm tensor for input + struct ggml_tensor * inp = nullptr; + for (int i = gf->n_nodes - 1; i >= 0; --i) { + inp = gf->nodes[i]; + if (strcmp(inp->name, "result_norm") == 0 || strcmp(inp->name, "result_embd") == 0) { + break; + } else { + inp = nullptr; + } + } + GGML_ASSERT(inp != nullptr && "missing result_norm/result_embd tensor"); + + struct ggml_tensor * cur; + + switch (pooling_type) { + case LLAMA_POOLING_TYPE_MEAN: + { + struct ggml_tensor * inp_mean = build_inp_mean(); + cur = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, inp)), inp_mean); + } break; + case LLAMA_POOLING_TYPE_CLS: + case LLAMA_POOLING_TYPE_LAST: + { + struct ggml_tensor * inp_cls = build_inp_cls(); + cur = ggml_get_rows(ctx0, inp, inp_cls); + } break; + case LLAMA_POOLING_TYPE_NONE: + { + cur = inp; + } break; + default: + { + GGML_ASSERT(false && "unknown pooling type"); + } break; + } + + cb(cur, "result_embd_pooled", -1); + + ggml_build_forward_expand(gf, cur); + + return gf; + } + struct ggml_cgraph * build_llama() { struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false); @@ -8629,8 +8673,6 @@ struct llm_build_context { if (model.arch != LLM_ARCH_JINA_BERT_V2) { inp_pos = build_inp_pos(); } - struct ggml_tensor * inp_mean = build_inp_mean(); - struct ggml_tensor * inp_cls = build_inp_cls(); // construct input embeddings (token, type, position) inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb); @@ -8805,28 +8847,6 @@ struct llm_build_context { cur = inpL; cb(cur, "result_embd", -1); - // pooling layer - switch (pooling_type) { - case LLAMA_POOLING_TYPE_NONE: - { - // nop - } break; - case LLAMA_POOLING_TYPE_MEAN: - { - cur = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, cur)), inp_mean); - cb(cur, "result_embd_pooled", -1); - } break; - case LLAMA_POOLING_TYPE_CLS: - { - cur = ggml_get_rows(ctx0, cur, inp_cls); - cb(cur, "result_embd_pooled", -1); - } break; - case LLAMA_POOLING_TYPE_UNSPECIFIED: - { - GGML_ASSERT(false && "Invalid pooling type"); - } break; - } - ggml_build_forward_expand(gf, cur); return gf; @@ -11911,6 +11931,11 @@ static struct ggml_cgraph * llama_build_graph( GGML_ASSERT(false); } + // add on pooling layer + if (lctx.cparams.embeddings) { + result = llm.append_pooling(result); + } + llm.free(); return result; @@ -12000,7 +12025,7 @@ static void llama_set_inputs(llama_context & lctx, const llama_batch & batch) { // (!a || b) is a logical implication (a -> b) // !hparams.causal_attn -> !cparams.causal_attn (hparams.causal_attn || !cparams.causal_attn) && - "causal attention with embedding models is not supported" + "causal attention is not supported by this model" ); if (lctx.inp_KQ_mask) { @@ -12132,6 +12157,37 @@ static void llama_set_inputs(llama_context & lctx, const llama_batch & batch) { } } + if (cparams.pooling_type == LLAMA_POOLING_TYPE_LAST) { + const int64_t n_tokens = batch.n_tokens; + + GGML_ASSERT(lctx.inp_cls); + GGML_ASSERT(ggml_backend_buffer_is_host(lctx.inp_cls->buffer)); + + uint32_t * data = (uint32_t *) lctx.inp_cls->data; + memset(lctx.inp_cls->data, 0, n_tokens * ggml_element_size(lctx.inp_cls)); + + std::vector last_pos(n_tokens, -1); + std::vector last_row(n_tokens, -1); + + for (int i = 0; i < n_tokens; ++i) { + const llama_seq_id seq_id = batch.seq_id[i][0]; + const llama_pos pos = batch.pos[i]; + + GGML_ASSERT(seq_id < n_tokens && "seq_id cannot be larger than n_tokens with pooling_type == LAST"); + + if (pos >= last_pos[seq_id]) { + last_pos[seq_id] = pos; + last_row[seq_id] = i; + } + } + + for (int i = 0; i < n_tokens; ++i) { + if (last_row[i] >= 0) { + data[i] = last_row[i]; + } + } + } + if (kv_self.recurrent) { const int64_t n_kv = kv_self.n; @@ -12193,8 +12249,8 @@ static size_t llama_output_reserve(llama_context & lctx, size_t n_outputs) { const auto n_embd = hparams.n_embd; // TODO: use a per-batch flag for logits presence instead - const bool has_logits = cparams.causal_attn; - const bool has_embd = cparams.embeddings && (hparams.causal_attn || cparams.pooling_type == LLAMA_POOLING_TYPE_NONE); + const bool has_logits = !cparams.embeddings; + const bool has_embd = cparams.embeddings && (cparams.pooling_type == LLAMA_POOLING_TYPE_NONE); const size_t logits_size = has_logits ? n_vocab*n_outputs_max : 0; const size_t embd_size = has_embd ? n_embd*n_outputs_max : 0; @@ -12324,11 +12380,13 @@ static int llama_decode_internal( std::vector> seq_id; // count outputs - if (batch_all.logits) { + if (cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE) { + n_outputs = n_tokens_all; + } else if (batch_all.logits) { for (uint32_t i = 0; i < n_tokens_all; ++i) { n_outputs += batch_all.logits[i] != 0; } - } else if (lctx.logits_all || (cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE)) { + } else if (lctx.logits_all) { n_outputs = n_tokens_all; } else { // keep last output only @@ -12459,30 +12517,13 @@ static int llama_decode_internal( // no output res = nullptr; embd = nullptr; - } else if (!hparams.causal_attn) { - res = nullptr; // do not extract logits for embedding models such as BERT - - // token or sequence embeddings - embd = gf->nodes[gf->n_nodes - 1]; - - GGML_ASSERT(strcmp(embd->name, "result_embd") == 0 || strcmp(embd->name, "result_embd_pooled") == 0); } else if (cparams.embeddings) { - // the embeddings could be in the second to last tensor, or any of the previous tensors - int i_embd = gf->n_nodes - 2; - for (int i = 3; strcmp(embd->name, "result_norm") != 0; ++i) { - i_embd = gf->n_nodes - i; - if (i_embd < 0) { break; } - embd = gf->nodes[i_embd]; - } - GGML_ASSERT(i_embd >= 0 && "missing result_norm tensor"); - - // TODO: use a per-batch flag to know when to skip logits while keeping embeddings - if (!cparams.causal_attn) { - res = nullptr; // do not extract logits when not needed - // skip computing logits - // TODO: is this safe? - gf->n_nodes = i_embd + 1; + res = nullptr; // do not extract logits for embedding case + embd = gf->nodes[gf->n_nodes - 1]; + if (strcmp(embd->name, "result_embd_pooled") != 0) { + embd = gf->nodes[gf->n_nodes - 2]; } + GGML_ASSERT(strcmp(embd->name, "result_embd_pooled") == 0 && "missing embeddings tensor"); } else { embd = nullptr; // do not extract embeddings when not needed GGML_ASSERT(strcmp(res->name, "result_output") == 0 && "missing result_output tensor"); @@ -12551,11 +12592,10 @@ static int llama_decode_internal( ggml_backend_tensor_get_async(backend_embd, embd, embd_out, 0, n_outputs_new*n_embd*sizeof(float)); } } break; - case LLAMA_POOLING_TYPE_CLS: case LLAMA_POOLING_TYPE_MEAN: + case LLAMA_POOLING_TYPE_CLS: + case LLAMA_POOLING_TYPE_LAST: { - GGML_ASSERT(strcmp(embd->name, "result_embd_pooled") == 0); - // extract sequence embeddings auto & embd_seq_out = lctx.embd_seq; embd_seq_out.clear(); @@ -18112,6 +18152,10 @@ void llama_set_abort_callback(struct llama_context * ctx, bool (*abort_callback) ctx->abort_callback_data = abort_callback_data; } +void llama_set_embeddings(struct llama_context * ctx, bool embeddings) { + ctx->cparams.embeddings = embeddings; +} + void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn) { ctx->cparams.causal_attn = causal_attn; } diff --git a/llama.h b/llama.h index da310ffaf..05d8b092b 100644 --- a/llama.h +++ b/llama.h @@ -174,6 +174,7 @@ extern "C" { LLAMA_POOLING_TYPE_NONE = 0, LLAMA_POOLING_TYPE_MEAN = 1, LLAMA_POOLING_TYPE_CLS = 2, + LLAMA_POOLING_TYPE_LAST = 3, }; enum llama_split_mode { @@ -293,7 +294,6 @@ extern "C" { enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type` enum llama_pooling_type pooling_type; // whether to pool (sum) embedding results by sequence id - // (ignored if no pooling layer) // ref: https://github.com/ggerganov/llama.cpp/pull/2054 float rope_freq_base; // RoPE base frequency, 0 = from model @@ -786,6 +786,10 @@ extern "C" { // Get the number of threads used for prompt and batch processing (multiple token). LLAMA_API uint32_t llama_n_threads_batch(struct llama_context * ctx); + // Set whether the model is in embeddings model or not + // If true, embeddings will be returned but logits will not + LLAMA_API void llama_set_embeddings(struct llama_context * ctx, bool embeddings); + // Set whether to use causal attention or not // If set to true, the model will only attend to the past tokens LLAMA_API void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn); From a927b0f3dd9a86ee042cd2bdcc8c9da4a855926b Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Fri, 21 Jun 2024 08:51:28 +0300 Subject: [PATCH 42/59] llama : optimize long word tokenization with WPM (#8034) ggml-ci --- llama.cpp | 17 ++++++++++++----- unicode.cpp | 1 + 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/llama.cpp b/llama.cpp index 9ca0b7479..a05a52b42 100644 --- a/llama.cpp +++ b/llama.cpp @@ -2293,6 +2293,8 @@ struct llama_vocab { enum llama_vocab_type type = LLAMA_VOCAB_TYPE_SPM; enum llama_vocab_pre_type type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT; + int max_token_len = 0; // used for optimizing longest token search + std::unordered_map token_to_id; std::vector id_to_token; @@ -4939,6 +4941,7 @@ static void llm_load_vocab( GGML_ASSERT(unicode_cpts_from_utf8(word).size() > 0); vocab.token_to_id[word] = i; + vocab.max_token_len = std::max(vocab.max_token_len, (int) word.size()); auto & token_data = vocab.id_to_token[i]; token_data.text = std::move(word); @@ -5249,6 +5252,8 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) { if (vocab.special_middle_id != -1) { LLAMA_LOG_INFO( "%s: MID token = %d '%s'\n", __func__, vocab.special_middle_id, vocab.id_to_token[vocab.special_middle_id].text.c_str() ); } if (vocab.special_eot_id != -1) { LLAMA_LOG_INFO( "%s: EOT token = %d '%s'\n", __func__, vocab.special_eot_id, vocab.id_to_token[vocab.special_eot_id].text.c_str() ); } + LLAMA_LOG_INFO("%s: max token length = %d\n", __func__, vocab.max_token_len); + if (model.arch == LLM_ARCH_DEEPSEEK2) { LLAMA_LOG_INFO("%s: n_layer_dense_lead = %d\n", __func__, hparams.n_layer_dense_lead); LLAMA_LOG_INFO("%s: n_lora_q = %d\n", __func__, hparams.n_lora_q); @@ -13488,7 +13493,7 @@ private: struct llm_tokenizer_wpm { llm_tokenizer_wpm(const llama_vocab & vocab): vocab(vocab) {} - void tokenize(const std::string & text, std::vector & output) { + void tokenize(const std::string & text, std::vector & output) const { const auto & token_map = vocab.token_to_id; // normalize and split by whitespace @@ -13497,7 +13502,7 @@ struct llm_tokenizer_wpm { // bos token prepended already // find the longest tokens that form the words - for (const std::string &word : words) { + for (const std::string & word : words) { // skip empty words if (word.size() == 0) { continue; @@ -13514,7 +13519,7 @@ struct llm_tokenizer_wpm { for (int i = 0; i < n; ++i) { // loop through possible match length bool match = false; - for (int j = n; j > i; j--) { + for (int j = std::min(n, i + vocab.max_token_len + 1); j > i; j--) { auto it = token_map.find(word1.substr(i, j - i)); if (it != token_map.end()) { output.push_back(it->second); @@ -13537,7 +13542,8 @@ struct llm_tokenizer_wpm { } } - std::vector preprocess(const std::string & text) { + // TODO: reduce string copies by using cpts_offs array + std::vector preprocess(const std::string & text) const { const std::vector cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text)); std::vector words(1, ""); @@ -13832,6 +13838,8 @@ static std::vector llama_tokenize_internal(const llama_vocab & output.push_back(vocab.special_cls_id); } + llm_tokenizer_wpm tokenizer(vocab); + for (const auto & fragment : fragment_buffer) { if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) { auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length); @@ -13839,7 +13847,6 @@ static std::vector llama_tokenize_internal(const llama_vocab & #ifdef PRETOKENIZERDEBUG LLAMA_LOG_WARN("TT: (%ld %ld %ld) '%s'\n", raw_text.length(), fragment.offset, fragment.length, raw_text.c_str()); #endif - llm_tokenizer_wpm tokenizer(vocab); tokenizer.tokenize(raw_text, output); } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN) output.push_back(fragment.token); diff --git a/unicode.cpp b/unicode.cpp index 913c34b9b..c0b76bf20 100644 --- a/unicode.cpp +++ b/unicode.cpp @@ -596,6 +596,7 @@ std::vector unicode_cpts_normalize_nfd(const std::vector & c std::vector unicode_cpts_from_utf8(const std::string & utf8) { std::vector result; + result.reserve(utf8.size()); size_t offset = 0; while (offset < utf8.size()) { result.push_back(unicode_cpt_from_utf8(utf8, offset)); From 7d5e8777ae1d21af99d4f95be10db4870720da91 Mon Sep 17 00:00:00 2001 From: Eve <139727413+netrunnereve@users.noreply.github.com> Date: Fri, 21 Jun 2024 05:57:36 +0000 Subject: [PATCH 43/59] ggml : AVX IQ quants (#7845) * initial iq4_xs * fix ci * iq4_nl * iq1_m * iq1_s * iq2_xxs * iq3_xxs * iq2_s * iq2_xs * iq3_s before sllv * iq3_s * iq3_s small fix * iq3_s sllv can be safely replaced with sse multiply --- ggml-quants.c | 699 +++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 698 insertions(+), 1 deletion(-) diff --git a/ggml-quants.c b/ggml-quants.c index 0b346c11e..0eb52e485 100644 --- a/ggml-quants.c +++ b/ggml-quants.c @@ -8814,7 +8814,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r #endif } -#if defined (__AVX2__) || defined (__ARM_NEON) || defined (__POWER9_VECTOR__) || defined(__loongarch_asx) +#if defined (__AVX__) || defined (__AVX2__) || defined (__ARM_NEON) || defined (__POWER9_VECTOR__) || defined(__loongarch_asx) static const int8_t keven_signs_q2xs[1024] = { 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1, @@ -8947,6 +8947,61 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void *s = 0.125f * hsum_float_8(accumf); +#elif defined(__AVX__) + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + + uint32_t aux32[4]; + const uint8_t * aux8 = (const uint8_t *)aux32; + + __m256 accumf = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d; + const uint16_t * restrict q2 = x[i].qs; + const int8_t * restrict q8 = y[i].qs; + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) { + const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + memcpy(aux32, q2, 4*sizeof(uint32_t)); q2 += 8; + const __m128i q2_1_0 = _mm_set_epi64x(iq2xxs_grid[aux8[1]], iq2xxs_grid[aux8[0]]); + const __m128i q2_1_1 = _mm_set_epi64x(iq2xxs_grid[aux8[3]], iq2xxs_grid[aux8[2]]); + const __m128i q2_2_0 = _mm_set_epi64x(iq2xxs_grid[aux8[9]], iq2xxs_grid[aux8[8]]); + const __m128i q2_2_1 = _mm_set_epi64x(iq2xxs_grid[aux8[11]], iq2xxs_grid[aux8[10]]); + const __m128i s2_1_0 = _mm_set_epi64x(signs64[(aux32[1] >> 7) & 127], signs64[(aux32[1] >> 0) & 127]); + const __m128i s2_1_1 = _mm_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127]); + const __m128i s2_2_0 = _mm_set_epi64x(signs64[(aux32[3] >> 7) & 127], signs64[(aux32[3] >> 0) & 127]); + const __m128i s2_2_1 = _mm_set_epi64x(signs64[(aux32[3] >> 21) & 127], signs64[(aux32[3] >> 14) & 127]); + const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, s2_1_0); + const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, s2_1_1); + const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, s2_2_0); + const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, s2_2_1); + const __m128i dot1_0 = _mm_maddubs_epi16(q2_1_0, q8s_1_0); + const __m128i dot1_1 = _mm_maddubs_epi16(q2_1_1, q8s_1_1); + const __m128i dot2_0 = _mm_maddubs_epi16(q2_2_0, q8s_2_0); + const __m128i dot2_1 = _mm_maddubs_epi16(q2_2_1, q8s_2_1); + const uint16_t ls1 = aux32[1] >> 28; + const uint16_t ls2 = aux32[3] >> 28; + const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1)); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1)); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1)); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1)); + sumi1_0 = _mm_add_epi32(sumi1_0, p1_0); + sumi1_1 = _mm_add_epi32(sumi1_1, p1_1); + sumi2_0 = _mm_add_epi32(sumi2_0, p2_0); + sumi2_1 = _mm_add_epi32(sumi2_1, p2_1); + } + + accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf); + + } + + *s = 0.125f * hsum_float_8(accumf); + #elif defined(__POWER9_VECTOR__) const vector int v0 = vec_splats((int32_t)0); vector float vsumf0 = vec_splats(0.0f); @@ -9290,6 +9345,165 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * } *s = 0.125f * hsum_float_8(accumf); + +#elif defined(__AVX__) + const __m128i mone = _mm_set1_epi8(1); + static const char block_sign_shuffle_mask_1[32] = { + 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, + 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, + }; + static const char block_sign_shuffle_mask_2[32] = { + 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, + 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, + }; + static const uint8_t bit_selector_mask_bytes[32] = { + 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + }; + + const __m128i bit_selector_mask_0 = _mm_loadu_si128((const __m128i*)bit_selector_mask_bytes); + const __m128i bit_selector_mask_1 = _mm_loadu_si128((const __m128i*)bit_selector_mask_bytes + 1); + const __m128i block_sign_shuffle_1_0 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_1); + const __m128i block_sign_shuffle_1_1 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_1 + 1); + const __m128i block_sign_shuffle_2_0 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_2); + const __m128i block_sign_shuffle_2_1 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_2 + 1); + + static const uint8_t k_bit_helper[32] = { + 0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00, + 0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00, + }; + const __m128i bit_helper_0 = _mm_loadu_si128((const __m128i*)k_bit_helper); + const __m128i bit_helper_1 = _mm_loadu_si128((const __m128i*)k_bit_helper + 1); + const __m128i m511 = _mm_set1_epi16(511); + const __m128i m4 = _mm_set1_epi8(0xf); + const __m128i m1 = _mm_set1_epi8(1); + + uint64_t aux64; + + // somewhat hacky, but gives a significant boost in performance + __m256i aux_gindex; + const uint16_t * gindex = (const uint16_t *)&aux_gindex; + + __m256 accumf = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d; + const uint16_t * restrict q2 = x[i].qs; + const int8_t * restrict q8 = y[i].qs; + + memcpy(&aux64, x[i].scales, 8); + __m128i stmp = _mm_set1_epi64x(aux64); + stmp = _mm_unpacklo_epi8(_mm_and_si128(stmp, m4), _mm_and_si128(_mm_srli_epi16(stmp, 4), m4)); + const __m128i scales = _mm_add_epi8(_mm_slli_epi16(stmp, 1), m1); + + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib32 = 0; ib32 < QK_K/32; ib32 += 4) { + + const __m128i q2_data_0 = _mm_loadu_si128((const __m128i*)q2); + const __m128i q2_data_1 = _mm_loadu_si128((const __m128i*)q2 + 1); q2 += 16; + aux_gindex = MM256_SET_M128I(_mm_and_si128(q2_data_1, m511), _mm_and_si128(q2_data_0, m511)); + + const __m128i partial_sign_bits_0 = _mm_srli_epi16(q2_data_0, 9); + const __m128i partial_sign_bits_1 = _mm_srli_epi16(q2_data_1, 9); + const __m128i partial_sign_bits_upper_0 = _mm_srli_epi16(q2_data_0, 13); + const __m128i partial_sign_bits_upper_1 = _mm_srli_epi16(q2_data_1, 13); + const __m128i partial_sign_bits_for_counting_0 = _mm_xor_si128(partial_sign_bits_0, partial_sign_bits_upper_0); + const __m128i partial_sign_bits_for_counting_1 = _mm_xor_si128(partial_sign_bits_1, partial_sign_bits_upper_1); + + const __m128i odd_bits_0 = _mm_shuffle_epi8(bit_helper_0, partial_sign_bits_for_counting_0); + const __m128i odd_bits_1 = _mm_shuffle_epi8(bit_helper_1, partial_sign_bits_for_counting_1); + const __m128i full_sign_bits_0 = _mm_or_si128(partial_sign_bits_0, odd_bits_0); + const __m128i full_sign_bits_1 = _mm_or_si128(partial_sign_bits_1, odd_bits_1); + + const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_3_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_3_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_4_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_4_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + + const __m128i q2_1_0 = _mm_set_epi64x(iq2xs_grid[gindex[1]], iq2xs_grid[gindex[0]]); + const __m128i q2_1_1 = _mm_set_epi64x(iq2xs_grid[gindex[3]], iq2xs_grid[gindex[2]]); + const __m128i q2_2_0 = _mm_set_epi64x(iq2xs_grid[gindex[5]], iq2xs_grid[gindex[4]]); + const __m128i q2_2_1 = _mm_set_epi64x(iq2xs_grid[gindex[7]], iq2xs_grid[gindex[6]]); + const __m128i q2_3_0 = _mm_set_epi64x(iq2xs_grid[gindex[9]], iq2xs_grid[gindex[8]]); + const __m128i q2_3_1 = _mm_set_epi64x(iq2xs_grid[gindex[11]], iq2xs_grid[gindex[10]]); + const __m128i q2_4_0 = _mm_set_epi64x(iq2xs_grid[gindex[13]], iq2xs_grid[gindex[12]]); + const __m128i q2_4_1 = _mm_set_epi64x(iq2xs_grid[gindex[15]], iq2xs_grid[gindex[14]]); + + // AVX2 full_signs_1 is full_sign_bits_0 here + // AVX2 full_signs_2 is full_sign_bits_1 here + __m128i signs_0, signs_1; + signs_0 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_1_0); + signs_1 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_1_1); + signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0); + signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1); + const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, _mm_or_si128(signs_0, mone)); + const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, _mm_or_si128(signs_1, mone)); + + signs_0 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_2_0); + signs_1 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_2_1); + signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0); + signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1); + const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, _mm_or_si128(signs_0, mone)); + const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, _mm_or_si128(signs_1, mone)); + + signs_0 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_1_0); + signs_1 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_1_1); + signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0); + signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1); + const __m128i q8s_3_0 = _mm_sign_epi8(q8_3_0, _mm_or_si128(signs_0, mone)); + const __m128i q8s_3_1 = _mm_sign_epi8(q8_3_1, _mm_or_si128(signs_1, mone)); + + signs_0 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_2_0); + signs_1 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_2_1); + signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0); + signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1); + const __m128i q8s_4_0 = _mm_sign_epi8(q8_4_0, _mm_or_si128(signs_0, mone)); + const __m128i q8s_4_1 = _mm_sign_epi8(q8_4_1, _mm_or_si128(signs_1, mone)); + + const __m128i dot1_0 = _mm_maddubs_epi16(q2_1_0, q8s_1_0); + const __m128i dot1_1 = _mm_maddubs_epi16(q2_1_1, q8s_1_1); + const __m128i dot2_0 = _mm_maddubs_epi16(q2_2_0, q8s_2_0); + const __m128i dot2_1 = _mm_maddubs_epi16(q2_2_1, q8s_2_1); + const __m128i dot3_0 = _mm_maddubs_epi16(q2_3_0, q8s_3_0); + const __m128i dot3_1 = _mm_maddubs_epi16(q2_3_1, q8s_3_1); + const __m128i dot4_0 = _mm_maddubs_epi16(q2_4_0, q8s_4_0); + const __m128i dot4_1 = _mm_maddubs_epi16(q2_4_1, q8s_4_1); + + __m128i sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+0)); + const __m128i sc1_0 = _mm_cvtepi8_epi16(sc_tmp); + const __m128i sc1_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8)); + sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+1)); + const __m128i sc2_0 = _mm_cvtepi8_epi16(sc_tmp); + const __m128i sc2_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8)); + sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+2)); + const __m128i sc3_0 = _mm_cvtepi8_epi16(sc_tmp); + const __m128i sc3_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8)); + sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+3)); + const __m128i sc4_0 = _mm_cvtepi8_epi16(sc_tmp); + const __m128i sc4_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8)); + + sumi1_0 = _mm_add_epi32(sumi1_0, _mm_madd_epi16(dot1_0, sc1_0)); + sumi1_1 = _mm_add_epi32(sumi1_1, _mm_madd_epi16(dot1_1, sc1_1)); + sumi2_0 = _mm_add_epi32(sumi2_0, _mm_madd_epi16(dot2_0, sc2_0)); + sumi2_1 = _mm_add_epi32(sumi2_1, _mm_madd_epi16(dot2_1, sc2_1)); + sumi1_0 = _mm_add_epi32(sumi1_0, _mm_madd_epi16(dot3_0, sc3_0)); + sumi1_1 = _mm_add_epi32(sumi1_1, _mm_madd_epi16(dot3_1, sc3_1)); + sumi2_0 = _mm_add_epi32(sumi2_0, _mm_madd_epi16(dot4_0, sc4_0)); + sumi2_1 = _mm_add_epi32(sumi2_1, _mm_madd_epi16(dot4_1, sc4_1)); + } + + accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf); + + } + + *s = 0.125f * hsum_float_8(accumf); + #elif defined(__loongarch_asx) const __m256i mone = __lasx_xvreplgr2vr_b(1); @@ -9693,6 +9907,98 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void * *s = 0.125f * hsum_float_8(accumf); +#elif defined(__AVX__) + static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, + 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03 + }; + + static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + }; + + const __m128i m4 = _mm_set1_epi8(0xf); + const __m128i m1 = _mm_set1_epi8(1); + + const __m128i mask1_0 = _mm_loadu_si128((const __m128i*)k_mask1); + const __m128i mask1_1 = _mm_loadu_si128((const __m128i*)k_mask1 + 1); + const __m128i mask2_0 = _mm_loadu_si128((const __m128i*)k_mask2); + const __m128i mask2_1 = _mm_loadu_si128((const __m128i*)k_mask2 + 1); + + uint64_t aux64; + + __m256 accumf = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d; + const uint8_t * restrict qs = x[i].qs; + const uint8_t * restrict qh = x[i].qh; + const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8); + const int8_t * restrict q8 = y[i].qs; + + memcpy(&aux64, x[i].scales, 8); + const __m128i scales8 = _mm_add_epi8(_mm_slli_epi16(_mm_and_si128(_mm_set_epi64x(aux64 >> 4, aux64), m4), 1), m1); + const __m128i scales16_0 = _mm_cvtepi8_epi16(scales8); + const __m128i scales16_1 = _mm_cvtepi8_epi16(_mm_srli_si128(scales8, 8)); + + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) { + const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q2_1_0 = _mm_set_epi64x(iq2s_grid[qs[1] | ((qh[ib32+0] << 6) & 0x300)], + iq2s_grid[qs[0] | ((qh[ib32+0] << 8) & 0x300)]); + const __m128i q2_1_1 = _mm_set_epi64x(iq2s_grid[qs[3] | ((qh[ib32+0] << 2) & 0x300)], + iq2s_grid[qs[2] | ((qh[ib32+0] << 4) & 0x300)]); + const __m128i q2_2_0 = _mm_set_epi64x(iq2s_grid[qs[5] | ((qh[ib32+1] << 6) & 0x300)], + iq2s_grid[qs[4] | ((qh[ib32+1] << 8) & 0x300)]); + const __m128i q2_2_1 = _mm_set_epi64x(iq2s_grid[qs[7] | ((qh[ib32+1] << 2) & 0x300)], + iq2s_grid[qs[6] | ((qh[ib32+1] << 4) & 0x300)]); + qs += 8; + + __m128i aux128_0 = _mm_set1_epi32(signs[0] | ((uint32_t) signs[1] << 16)); + __m128i aux128_1 = aux128_0; + aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0); + aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1); + const __m128i s2_1_0 = _mm_cmpeq_epi8(aux128_0, mask2_0); + const __m128i s2_1_1 = _mm_cmpeq_epi8(aux128_1, mask2_1); + const __m128i q8s_1_0 = _mm_sub_epi8(_mm_xor_si128(s2_1_0, q8_1_0), s2_1_0); + const __m128i q8s_1_1 = _mm_sub_epi8(_mm_xor_si128(s2_1_1, q8_1_1), s2_1_1); + + aux128_0 = _mm_set1_epi32(signs[2] | ((uint32_t) signs[3] << 16)); + aux128_1 = aux128_0; + aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0); + aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1); + const __m128i s2_2_0 = _mm_cmpeq_epi8(aux128_0, mask2_0); + const __m128i s2_2_1 = _mm_cmpeq_epi8(aux128_1, mask2_1); + const __m128i q8s_2_0 = _mm_sub_epi8(_mm_xor_si128(s2_2_0, q8_2_0), s2_2_0); + const __m128i q8s_2_1 = _mm_sub_epi8(_mm_xor_si128(s2_2_1, q8_2_1), s2_2_1); + + signs += 4; + + const __m128i dot1_0 = _mm_maddubs_epi16(q2_1_0, q8s_1_0); + const __m128i dot1_1 = _mm_maddubs_epi16(q2_1_1, q8s_1_1); + const __m128i dot2_0 = _mm_maddubs_epi16(q2_2_0, q8s_2_0); + const __m128i dot2_1 = _mm_maddubs_epi16(q2_2_1, q8s_2_1); + + const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_shuffle_epi8(scales16_0, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+0), 0))); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_shuffle_epi8(scales16_1, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+0), 1))); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_shuffle_epi8(scales16_0, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+1), 0))); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_shuffle_epi8(scales16_1, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+1), 1))); + sumi1_0 = _mm_add_epi32(sumi1_0, p1_0); + sumi1_1 = _mm_add_epi32(sumi1_1, p1_1); + sumi2_0 = _mm_add_epi32(sumi2_0, p2_0); + sumi2_1 = _mm_add_epi32(sumi2_1, p2_1); + } + + accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf); + + } + + *s = 0.125f * hsum_float_8(accumf); + #elif defined(__POWER9_VECTOR__) static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03 @@ -10019,6 +10325,63 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void *s = 0.25f * hsum_float_8(accumf); +#elif defined(__AVX__) + const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; + + uint32_t aux32[2]; + + __m256 accumf = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d; + const uint8_t * restrict q3 = x[i].qs; + const uint8_t * restrict gas = x[i].qs + QK_K/4; + const int8_t * restrict q8 = y[i].qs; + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) { + const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q2_1_0 = _mm_set_epi32(iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]); + const __m128i q2_1_1 = _mm_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]]); + q3 += 8; + const __m128i q2_2_0 = _mm_set_epi32(iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]); + const __m128i q2_2_1 = _mm_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]]); + q3 += 8; + memcpy(aux32, gas, 8); gas += 8; + const __m128i s2_1_0 = _mm_set_epi64x(signs64[(aux32[0] >> 7) & 127], signs64[(aux32[0] >> 0) & 127]); + const __m128i s2_1_1 = _mm_set_epi64x(signs64[(aux32[0] >> 21) & 127], signs64[(aux32[0] >> 14) & 127]); + const __m128i s2_2_0 = _mm_set_epi64x(signs64[(aux32[1] >> 7) & 127], signs64[(aux32[1] >> 0) & 127]); + const __m128i s2_2_1 = _mm_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127]); + const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, s2_1_0); + const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, s2_1_1); + const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, s2_2_0); + const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, s2_2_1); + const __m128i dot1_0 = _mm_maddubs_epi16(q2_1_0, q8s_1_0); + const __m128i dot1_1 = _mm_maddubs_epi16(q2_1_1, q8s_1_1); + const __m128i dot2_0 = _mm_maddubs_epi16(q2_2_0, q8s_2_0); + const __m128i dot2_1 = _mm_maddubs_epi16(q2_2_1, q8s_2_1); + const uint16_t ls1 = aux32[0] >> 28; + const uint16_t ls2 = aux32[1] >> 28; + const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1)); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1)); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1)); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1)); + sumi1_0 = _mm_add_epi32(sumi1_0, p1_0); + sumi1_1 = _mm_add_epi32(sumi1_1, p1_1); + sumi2_0 = _mm_add_epi32(sumi2_0, p2_0); + sumi2_1 = _mm_add_epi32(sumi2_1, p2_1); + } + + accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf); + + } + + *s = 0.25f * hsum_float_8(accumf); + #elif defined(__POWER9_VECTOR__) const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs; @@ -10370,6 +10733,112 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * *s = hsum_float_8(accumf); +#elif defined(__AVX__) + static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, + 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03 + }; + + static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, + }; + + const __m128i mask1_0 = _mm_loadu_si128((const __m128i*)k_mask1); + const __m128i mask1_1 = _mm_loadu_si128((const __m128i*)k_mask1 + 1); + const __m128i mask2_0 = _mm_loadu_si128((const __m128i*)k_mask2); + const __m128i mask2_1 = _mm_loadu_si128((const __m128i*)k_mask2 + 1); + + const __m128i idx_mul_0 = _mm_set_epi32(32, 64, 128, 256); + const __m128i idx_mul_1 = _mm_set_epi32(2, 4, 8, 16); + const __m128i idx_mask = _mm_set1_epi32(256); + + typedef union { + __m128i vec[4]; + uint32_t index[16]; + } index_t; + + index_t idx; + + __m256 accumf = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d; + const uint8_t * restrict qs = x[i].qs; + const uint8_t * restrict qh = x[i].qh; + const uint16_t * restrict signs = (const uint16_t *)x[i].signs; + const int8_t * restrict q8 = y[i].qs; + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) { + const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i qs_tmp = _mm_loadu_si128((const __m128i *)qs); + const __m128i idx_l_0 = _mm_cvtepu8_epi16(qs_tmp); + const __m128i idx_l_1 = _mm_cvtepu8_epi16(_mm_srli_si128(qs_tmp, 8)); qs += 16; + idx.vec[0] = _mm_set1_epi32(qh[ib32+0]); + idx.vec[1] = idx.vec[0]; + idx.vec[2] = _mm_set1_epi32(qh[ib32+1]); + idx.vec[3] = idx.vec[2]; + + idx.vec[0] = _mm_and_si128(_mm_mullo_epi32(idx.vec[0], idx_mul_0), idx_mask); + idx.vec[1] = _mm_and_si128(_mm_mullo_epi32(idx.vec[1], idx_mul_1), idx_mask); + idx.vec[2] = _mm_and_si128(_mm_mullo_epi32(idx.vec[2], idx_mul_0), idx_mask); + idx.vec[3] = _mm_and_si128(_mm_mullo_epi32(idx.vec[3], idx_mul_1), idx_mask); + + idx.vec[0] = _mm_or_si128(idx.vec[0], _mm_cvtepi16_epi32(idx_l_0)); + idx.vec[1] = _mm_or_si128(idx.vec[1], _mm_cvtepi16_epi32(_mm_srli_si128(idx_l_0, 8))); + idx.vec[2] = _mm_or_si128(idx.vec[2], _mm_cvtepi16_epi32(idx_l_1)); + idx.vec[3] = _mm_or_si128(idx.vec[3], _mm_cvtepi16_epi32(_mm_srli_si128(idx_l_1, 8))); + + const __m128i q2_1_0 = _mm_set_epi32(iq3s_grid[idx.index[3]], iq3s_grid[idx.index[2]], iq3s_grid[idx.index[1]], iq3s_grid[idx.index[0]]); + const __m128i q2_1_1 = _mm_set_epi32(iq3s_grid[idx.index[7]], iq3s_grid[idx.index[6]], iq3s_grid[idx.index[5]], iq3s_grid[idx.index[4]]); + const __m128i q2_2_0 = _mm_set_epi32(iq3s_grid[idx.index[11]], iq3s_grid[idx.index[10]], iq3s_grid[idx.index[9]], iq3s_grid[idx.index[8]]); + const __m128i q2_2_1 = _mm_set_epi32(iq3s_grid[idx.index[15]], iq3s_grid[idx.index[14]], iq3s_grid[idx.index[13]], iq3s_grid[idx.index[12]]); + + __m128i aux128_0 = _mm_set1_epi32(signs[0] | (signs[1] << 16)); + __m128i aux128_1 = aux128_0; + aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0); + aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1); + const __m128i s2_1_0 = _mm_cmpeq_epi8(aux128_0, mask2_0); + const __m128i s2_1_1 = _mm_cmpeq_epi8(aux128_1, mask2_1); + const __m128i q8s_1_0 = _mm_sub_epi8(_mm_xor_si128(s2_1_0, q8_1_0), s2_1_0); + const __m128i q8s_1_1 = _mm_sub_epi8(_mm_xor_si128(s2_1_1, q8_1_1), s2_1_1); + + aux128_0 = _mm_set1_epi32(signs[2] | (signs[3] << 16)); + aux128_1 = aux128_0; + aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0); + aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1); + const __m128i s2_2_0 = _mm_cmpeq_epi8(aux128_0, mask2_0); + const __m128i s2_2_1 = _mm_cmpeq_epi8(aux128_1, mask2_1); + const __m128i q8s_2_0 = _mm_sub_epi8(_mm_xor_si128(s2_2_0, q8_2_0), s2_2_0); + const __m128i q8s_2_1 = _mm_sub_epi8(_mm_xor_si128(s2_2_1, q8_2_1), s2_2_1); + + signs += 4; + + const __m128i dot1_0 = _mm_maddubs_epi16(q2_1_0, q8s_1_0); + const __m128i dot1_1 = _mm_maddubs_epi16(q2_1_1, q8s_1_1); + const __m128i dot2_0 = _mm_maddubs_epi16(q2_2_0, q8s_2_0); + const __m128i dot2_1 = _mm_maddubs_epi16(q2_2_1, q8s_2_1); + const uint16_t ls1 = x[i].scales[ib32/2] & 0xf; + const uint16_t ls2 = x[i].scales[ib32/2] >> 4; + const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1)); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1)); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1)); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1)); + sumi1_0 = _mm_add_epi32(sumi1_0, p1_0); + sumi1_1 = _mm_add_epi32(sumi1_1, p1_1); + sumi2_0 = _mm_add_epi32(sumi2_0, p2_0); + sumi2_1 = _mm_add_epi32(sumi2_1, p2_1); + } + + accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf); + + } + + *s = hsum_float_8(accumf); + #elif defined(__POWER9_VECTOR__) static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03 @@ -10607,6 +11076,14 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * } +#if defined(__AVX__) +static inline __m128i mul_add_epi8_sse(const __m128i x, const __m128i y) { + const __m128i ax = _mm_sign_epi8(x, x); + const __m128i sy = _mm_sign_epi8(y, x); + return _mm_maddubs_epi16(ax, sy); +} +#endif + #if defined(__AVX2__) static inline __m256i mul_add_epi8(const __m256i x, const __m256i y) { const __m256i ax = _mm256_sign_epi8(x, x); @@ -10724,6 +11201,54 @@ void ggml_vec_dot_iq1_s_q8_K (int n, float * restrict s, size_t bs, const void *s = hsum_float_8(accum) + IQ1S_DELTA * accum1; +#elif defined __AVX__ + __m256 accum = _mm256_setzero_ps(); + float accum1 = 0; + for (int i = 0; i < nb; ++i) { + + const int8_t * q8 = y[i].qs; + const uint8_t * qs = x[i].qs; + const uint16_t * qh = x[i].qh; + + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + int sumi1 = 0; + for (int ib = 0; ib < QK_K/32; ib += 2) { + const __m128i q1b_1_0 = _mm_set_epi64x(iq1s_grid[qs[1] | ((qh[ib+0] << 5) & 0x700)], iq1s_grid[qs[0] | ((qh[ib+0] << 8) & 0x700)]); + const __m128i q1b_1_1 = _mm_set_epi64x(iq1s_grid[qs[3] | ((qh[ib+0] >> 1) & 0x700)], iq1s_grid[qs[2] | ((qh[ib+0] << 2) & 0x700)]); + const __m128i q1b_2_0 = _mm_set_epi64x(iq1s_grid[qs[5] | ((qh[ib+1] << 5) & 0x700)], iq1s_grid[qs[4] | ((qh[ib+1] << 8) & 0x700)]); + const __m128i q1b_2_1 = _mm_set_epi64x(iq1s_grid[qs[7] | ((qh[ib+1] >> 1) & 0x700)], iq1s_grid[qs[6] | ((qh[ib+1] << 2) & 0x700)]); + qs += 8; + const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + + const __m128i dot1_0 = mul_add_epi8_sse(q1b_1_0, q8b_1_0); + const __m128i dot1_1 = mul_add_epi8_sse(q1b_1_1, q8b_1_1); + const __m128i dot2_0 = mul_add_epi8_sse(q1b_2_0, q8b_2_0); + const __m128i dot2_1 = mul_add_epi8_sse(q1b_2_1, q8b_2_1); + const int16_t ls1 = 2*((qh[ib+0] >> 12) & 7) + 1; + const int16_t ls2 = 2*((qh[ib+1] >> 12) & 7) + 1; + const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(ls1)); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(ls1)); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(ls2)); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(ls2)); + + sumi1_0 = _mm_add_epi32(sumi1_0, _mm_add_epi32(p1_0, p2_0)); + sumi1_1 = _mm_add_epi32(sumi1_1, _mm_add_epi32(p1_1, p2_1)); + sumi1 += (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]) * (qh[ib+0] & 0x8000 ? -1 : 1) * ls1 + + (y[i].bsums[2*ib+2] + y[i].bsums[2*ib+3]) * (qh[ib+1] & 0x8000 ? -1 : 1) * ls2; + } + + const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d); + accum = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(sumi1_1, sumi1_0))), accum); + accum1 += d * sumi1; + + } + + *s = hsum_float_8(accum) + IQ1S_DELTA * accum1; + #elif defined(__POWER9_VECTOR__) const vector unsigned char v0 = vec_splats((unsigned char)0x0); const vector unsigned short vsign = vec_splats((unsigned short)0x8000); @@ -11062,6 +11587,92 @@ void ggml_vec_dot_iq1_m_q8_K (int n, float * restrict s, size_t bs, const void *s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2); +#elif defined __AVX__ + const __m128i mask = _mm_set1_epi16(0x7); + const __m128i mone = _mm_set1_epi16(1); + + __m256 accum1 = _mm256_setzero_ps(); + __m256 accum2 = _mm256_setzero_ps(); + for (int i = 0; i < nb; ++i) { + + const int8_t * q8 = y[i].qs; + const uint8_t * qs = x[i].qs; + const uint8_t * qh = x[i].qh; + const uint16_t * sc = (const uint16_t *)x[i].scales; + + scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000); + + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib = 0; ib < QK_K/32; ib += 2) { + const __m128i q1b_1_0 = _mm_set_epi64x( + iq1s_grid[qs[1] | (((uint16_t)qh[0] << 4) & 0x700)], iq1s_grid[qs[0] | (((uint16_t)qh[0] << 8) & 0x700)]); + const __m128i q1b_1_1 = _mm_set_epi64x( + iq1s_grid[qs[3] | (((uint16_t)qh[1] << 4) & 0x700)], iq1s_grid[qs[2] | (((uint16_t)qh[1] << 8) & 0x700)]); + const __m128i q1b_2_0 = _mm_set_epi64x( + iq1s_grid[qs[5] | (((uint16_t)qh[2] << 4) & 0x700)], iq1s_grid[qs[4] | (((uint16_t)qh[2] << 8) & 0x700)]); + const __m128i q1b_2_1 = _mm_set_epi64x( + iq1s_grid[qs[7] | (((uint16_t)qh[3] << 4) & 0x700)], iq1s_grid[qs[6] | (((uint16_t)qh[3] << 8) & 0x700)]); + const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + + const __m128i dot1_0 = mul_add_epi8_sse(q1b_1_0, q8b_1_0); + const __m128i dot1_1 = mul_add_epi8_sse(q1b_1_1, q8b_1_1); + const __m128i dot2_0 = mul_add_epi8_sse(q1b_2_0, q8b_2_0); + const __m128i dot2_1 = mul_add_epi8_sse(q1b_2_1, q8b_2_1); + + const __m128i delta1_0 = _mm_set_epi64x(qh[0] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101, + qh[0] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101); + const __m128i delta1_1 = _mm_set_epi64x(qh[1] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101, + qh[1] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101); + const __m128i delta2_0 = _mm_set_epi64x(qh[2] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101, + qh[2] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101); + const __m128i delta2_1 = _mm_set_epi64x(qh[3] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101, + qh[3] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101); + + const __m128i dot3_0 = mul_add_epi8_sse(delta1_0, q8b_1_0); + const __m128i dot3_1 = mul_add_epi8_sse(delta1_1, q8b_1_1); + const __m128i dot4_0 = mul_add_epi8_sse(delta2_0, q8b_2_0); + const __m128i dot4_1 = mul_add_epi8_sse(delta2_1, q8b_2_1); + + __m128i scale1_0 = _mm_set1_epi16(sc[ib/2] >> 0); + __m128i scale1_1 = _mm_set1_epi16(sc[ib/2] >> 3); + __m128i scale2_0 = _mm_set1_epi16(sc[ib/2] >> 6); + __m128i scale2_1 = _mm_set1_epi16(sc[ib/2] >> 9); + + scale1_0 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale1_0, mask), 1), mone); + scale1_1 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale1_1, mask), 1), mone); + scale2_0 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale2_0, mask), 1), mone); + scale2_1 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale2_1, mask), 1), mone); + const __m128i p1_0 = _mm_madd_epi16(dot1_0, scale1_0); + const __m128i p1_1 = _mm_madd_epi16(dot1_1, scale1_1); + const __m128i p2_0 = _mm_madd_epi16(dot2_0, scale2_0); + const __m128i p2_1 = _mm_madd_epi16(dot2_1, scale2_1); + const __m128i p3_0 = _mm_madd_epi16(dot3_0, scale1_0); + const __m128i p3_1 = _mm_madd_epi16(dot3_1, scale1_1); + const __m128i p4_0 = _mm_madd_epi16(dot4_0, scale2_0); + const __m128i p4_1 = _mm_madd_epi16(dot4_1, scale2_1); + + sumi1_0 = _mm_add_epi32(sumi1_0, _mm_add_epi32(p1_0, p2_0)); + sumi1_1 = _mm_add_epi32(sumi1_1, _mm_add_epi32(p1_1, p2_1)); + sumi2_0 = _mm_add_epi32(sumi2_0, _mm_add_epi32(p3_0, p4_0)); + sumi2_1 = _mm_add_epi32(sumi2_1, _mm_add_epi32(p3_1, p4_1)); + + qs += 8; qh += 4; + } + + const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(scale.f16)); + + accum1 = _mm256_add_ps(_mm256_mul_ps(d, _mm256_cvtepi32_ps(MM256_SET_M128I(sumi1_1, sumi1_0))), accum1); + accum2 = _mm256_add_ps(_mm256_mul_ps(d, _mm256_cvtepi32_ps(MM256_SET_M128I(sumi2_1, sumi2_0))), accum2); + } + + *s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2); + #else int sum1[2], sum2[2], delta[4]; @@ -11192,6 +11803,44 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void * *s = hsum_float_8(_mm256_add_ps(accum1, accum2)); +#elif defined __AVX__ + const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl); + const __m128i m4b = _mm_set1_epi8(0x0f); + const __m128i mone = _mm_set1_epi16(1); + + __m256 accum1 = _mm256_setzero_ps(); + __m256 accum2 = _mm256_setzero_ps(); + for (int ib = 0; ib < nb; ib += 2) { + const __m128i q4bits_1 = _mm_loadu_si128((const __m128i *)x[0].qs); + const __m128i q4bits_2 = _mm_loadu_si128((const __m128i *)x[1].qs); + const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)y[0].qs); + const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)y[0].qs + 1); + const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)y[1].qs); + const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)y[1].qs + 1); + + const __m128i q4b_1_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b)); + const __m128i q4b_1_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b)); + const __m128i q4b_2_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b)); + const __m128i q4b_2_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b)); + const __m128i p16_1_0 = mul_add_epi8_sse(q4b_1_0, q8b_1_0); + const __m128i p16_1_1 = mul_add_epi8_sse(q4b_1_1, q8b_1_1); + const __m128i p16_2_0 = mul_add_epi8_sse(q4b_2_0, q8b_2_0); + const __m128i p16_2_1 = mul_add_epi8_sse(q4b_2_1, q8b_2_1); + const __m128i p_1_0 = _mm_madd_epi16(p16_1_0, mone); + const __m128i p_1_1 = _mm_madd_epi16(p16_1_1, mone); + const __m128i p_2_0 = _mm_madd_epi16(p16_2_0, mone); + const __m128i p_2_1 = _mm_madd_epi16(p16_2_1, mone); + accum1 = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[0].d)*GGML_FP16_TO_FP32(x[0].d)), + _mm256_cvtepi32_ps(MM256_SET_M128I(p_1_1, p_1_0))), accum1); + accum2 = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[1].d)*GGML_FP16_TO_FP32(x[1].d)), + _mm256_cvtepi32_ps(MM256_SET_M128I(p_2_1, p_2_0))), accum2); + + y += 2; + x += 2; + } + + *s = hsum_float_8(_mm256_add_ps(accum1, accum2)); + #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); const vector signed int v0 = vec_splats((int32_t)0); @@ -11382,6 +12031,54 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void * *s = hsum_float_8(accum); +#elif defined __AVX__ + const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl); + const __m128i m4b = _mm_set1_epi8(0x0f); + + __m256 accum = _mm256_setzero_ps(); + for (int ibl = 0; ibl < nb; ++ibl) { + const uint8_t * qs = x[ibl].qs; + const int8_t * q8 = y[ibl].qs; + uint16_t sh = x[ibl].scales_h; + __m128i sumi1_0 = _mm_setzero_si128(); + __m128i sumi1_1 = _mm_setzero_si128(); + __m128i sumi2_0 = _mm_setzero_si128(); + __m128i sumi2_1 = _mm_setzero_si128(); + for (int ib = 0; ib < QK_K/32; ib += 2) { + const __m128i q4bits_1 = _mm_loadu_si128((const __m128i *)qs); qs += 16; + const __m128i q4bits_2 = _mm_loadu_si128((const __m128i *)qs); qs += 16; + const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16; + const __m128i q4b_1_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b)); + const __m128i q4b_1_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b)); + const __m128i q4b_2_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b)); + const __m128i q4b_2_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b)); + const __m128i p16_1_0 = mul_add_epi8_sse(q4b_1_0, q8b_1_0); + const __m128i p16_1_1 = mul_add_epi8_sse(q4b_1_1, q8b_1_1); + const __m128i p16_2_0 = mul_add_epi8_sse(q4b_2_0, q8b_2_0); + const __m128i p16_2_1 = mul_add_epi8_sse(q4b_2_1, q8b_2_1); + const int16_t ls1 = ((x[ibl].scales_l[ib/2] & 0xf) | ((sh << 4) & 0x30)) - 32; + const int16_t ls2 = ((x[ibl].scales_l[ib/2] >> 4) | ((sh << 2) & 0x30)) - 32; + sh >>= 4; + const __m128i p_1_0 = _mm_madd_epi16(p16_1_0, _mm_set1_epi16(ls1)); + const __m128i p_1_1 = _mm_madd_epi16(p16_1_1, _mm_set1_epi16(ls1)); + const __m128i p_2_0 = _mm_madd_epi16(p16_2_0, _mm_set1_epi16(ls2)); + const __m128i p_2_1 = _mm_madd_epi16(p16_2_1, _mm_set1_epi16(ls2)); + sumi1_0 = _mm_add_epi32(p_1_0, sumi1_0); + sumi1_1 = _mm_add_epi32(p_1_1, sumi1_1); + sumi2_0 = _mm_add_epi32(p_2_0, sumi2_0); + sumi2_1 = _mm_add_epi32(p_2_1, sumi2_1); + } + __m128i sumi12_0 = _mm_add_epi32(sumi1_0, sumi2_0); + __m128i sumi12_1 = _mm_add_epi32(sumi1_1, sumi2_1); + accum = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(x[ibl].d)*y[ibl].d), + _mm256_cvtepi32_ps(MM256_SET_M128I(sumi12_1, sumi12_0))), accum); + } + + *s = hsum_float_8(accum); + #elif defined(__POWER9_VECTOR__) const vector signed char lowMask = vec_splats((signed char)0xF); const vector int v0 = vec_splats((int32_t)0); From 557b653dc9ed91e8c313e87500e0050c775f81b6 Mon Sep 17 00:00:00 2001 From: "k.h.lai" Date: Fri, 21 Jun 2024 16:28:20 +0800 Subject: [PATCH 44/59] vulkan: detect multiple devices by deviceUUID instead of deviceID (#8022) * vulkan: detect multiple devices by deviceUUID instead of deviceID * vulkan: remove unneeded variables * vulkan: fix id query --- ggml-vulkan.cpp | 32 +++++++++++++++++++------------- 1 file changed, 19 insertions(+), 13 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f389934ea..87af33b56 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1745,31 +1745,37 @@ void ggml_vk_instance_init() { // Default to using all dedicated GPUs for (size_t i = 0; i < devices.size(); i++) { - vk::PhysicalDeviceProperties props = devices[i].getProperties(); + vk::PhysicalDeviceProperties2 new_props; + vk::PhysicalDeviceDriverProperties new_driver; + vk::PhysicalDeviceIDProperties new_id; + new_props.pNext = &new_driver; + new_driver.pNext = &new_id; + devices[i].getProperties2(&new_props); - if (props.deviceType == vk::PhysicalDeviceType::eDiscreteGpu) { + if (new_props.properties.deviceType == vk::PhysicalDeviceType::eDiscreteGpu) { // Check if there are two physical devices corresponding to the same GPU auto old_device = std::find_if( vk_instance.device_indices.begin(), vk_instance.device_indices.end(), - [&devices, &props](const size_t k){ return devices[k].getProperties().deviceID == props.deviceID; } + [&devices, &new_id](const size_t k){ + vk::PhysicalDeviceProperties2 old_props; + vk::PhysicalDeviceIDProperties old_id; + old_props.pNext = &old_id; + devices[k].getProperties2(&old_props); + return std::equal(std::begin(old_id.deviceUUID), std::end(old_id.deviceUUID), std::begin(new_id.deviceUUID)); + } ); if (old_device == vk_instance.device_indices.end()) { vk_instance.device_indices.push_back(i); } else { // There can be two physical devices corresponding to the same GPU if there are 2 different drivers // This can cause error when splitting layers aross the devices, need to keep only 1 - VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same device id"); + VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same deviceUUID"); - vk::PhysicalDeviceProperties2 old_prop; + vk::PhysicalDeviceProperties2 old_props; vk::PhysicalDeviceDriverProperties old_driver; - old_prop.pNext = &old_driver; - devices[*old_device].getProperties2(&old_prop); - - vk::PhysicalDeviceProperties2 new_prop; - vk::PhysicalDeviceDriverProperties new_driver; - new_prop.pNext = &new_driver; - devices[i].getProperties2(&new_prop); + old_props.pNext = &old_driver; + devices[*old_device].getProperties2(&old_props); std::map driver_priorities {}; int old_priority = std::numeric_limits::max(); @@ -1777,7 +1783,7 @@ void ggml_vk_instance_init() { // Check https://registry.khronos.org/vulkan/specs/1.3-extensions/man/html/VkDriverId.html for the list of driver id // Smaller number -> higher priority - switch (old_prop.properties.vendorID) { + switch (old_props.properties.vendorID) { case VK_VENDOR_ID_AMD: driver_priorities[vk::DriverId::eMesaRadv] = 1; driver_priorities[vk::DriverId::eAmdOpenSource] = 2; From c5a8d4b749352645afd4c024f85d6eca2ca72c6d Mon Sep 17 00:00:00 2001 From: Clint Herron Date: Fri, 21 Jun 2024 23:18:36 -0400 Subject: [PATCH 45/59] JSON Schema to GBNF integration tests (#7790) * Adding simple bare-bones test for end-to-end integration test for json validation against auto-generated JSON-schema grammars. * Adding additional examples as documented in #7789 . Also adding the ability to automatically output improperly failing grammars to debug output files so they can more easily be examined in the gbnf-validator program. * Uncommenting formerly commented tests so that they fail for others who are attempting to reproduce the bugs. * Merging improved schema test methods added by @ochafik in #7797 * Adding #define to temporarily remove failing tests so that this PR can pass CI, but still be useful for other PRs that want to leverage the framework. * Fixing nits from ochafik. Removing escape slashes, adding additional failing cases, fixing some other strings. * Fixing grammar indentation to be consistent throughout file. --- Makefile | 2 +- tests/test-grammar-integration.cpp | 599 ++++++++++++++++++++++++++++- 2 files changed, 580 insertions(+), 21 deletions(-) diff --git a/Makefile b/Makefile index dddf647cd..4ea59c0b4 100644 --- a/Makefile +++ b/Makefile @@ -1051,7 +1051,7 @@ tests/test-grammar-parser: tests/test-grammar-parser.cpp ggml.o llama.o grammar- $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) -tests/test-grammar-integration: tests/test-grammar-integration.cpp ggml.o llama.o grammar-parser.o $(OBJS) +tests/test-grammar-integration: tests/test-grammar-integration.cpp json-schema-to-grammar.o ggml.o llama.o grammar-parser.o $(OBJS) $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp index 8787fb1ec..96f90c01e 100644 --- a/tests/test-grammar-integration.cpp +++ b/tests/test-grammar-integration.cpp @@ -7,11 +7,16 @@ #include "ggml.h" #include "llama.h" #include "grammar-parser.h" +#include "json-schema-to-grammar.h" #include "unicode.h" #include #include #include +using json = nlohmann::ordered_json; + +//#define INCLUDE_FAILING_TESTS 1 + static llama_grammar* build_grammar(const std::string & grammar_str) { auto parsed_grammar = grammar_parser::parse(grammar_str.c_str()); @@ -65,8 +70,8 @@ static bool match_string(const std::string & input, llama_grammar* grammar) { return false; } -static void test_grammar(const std::string & test_desc, const std::string & grammar_str, const std::vector & passing_strings, const std::vector & failing_strings) { - fprintf(stderr, "⚫ Testing %s. Grammar: %s\n", test_desc.c_str(), grammar_str.c_str()); +static void test(const std::string & test_desc, const std::string & grammar_str, const std::vector & passing_strings, const std::vector & failing_strings) { + fprintf(stderr, "⚫ Testing %s\n%s\n", test_desc.c_str(), grammar_str.c_str()); fflush(stderr); auto grammar = build_grammar(grammar_str); @@ -85,6 +90,23 @@ static void test_grammar(const std::string & test_desc, const std::string & gram if (!matched) { fprintf(stderr, "❌ (failed to match)\n"); + + // DEBUG: Write strings to files so that we can analyze more easily with gbnf-validator program to see exactly where things failed. + // DEBUG: Write the grammar_str to test-grammar-integration.grammar.gbnf + FILE* grammar_file = fopen("test-grammar-integration.grammar.gbnf", "w"); + if (grammar_file) { + fprintf(grammar_file, "%s", grammar_str.c_str()); + fclose(grammar_file); + } + + // DEBUG: Write the test string to test-grammar-integration.string.txt + FILE* string_file = fopen("test-grammar-integration.string.txt", "w"); + if (string_file) { + fprintf(string_file, "%s", test_string.c_str()); + fclose(string_file); + } + + fprintf(stderr, "\n NOTE: Debug grammar file generated. To analyze this failure in detail, run the following command: ./llama-gbnf-validator test-grammar-integration.grammar.gbnf test-grammar-integration.string.txt\n\n"); } else { fprintf(stdout, "✅︎\n"); } @@ -118,6 +140,12 @@ static void test_grammar(const std::string & test_desc, const std::string & gram // Clean up allocated memory llama_grammar_free(grammar); } +static void test_grammar(const std::string & test_desc, const std::string & grammar_str, const std::vector & passing_strings, const std::vector & failing_strings) { + test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings); +} +static void test_schema(const std::string & test_desc, const std::string & schema_str, const std::vector & passing_strings, const std::vector & failing_strings) { + test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str)), passing_strings, failing_strings); +} static void test_simple_grammar() { // Test case for a simple grammar @@ -400,10 +428,11 @@ static void test_quantifiers() { static void test_failure_missing_root() { fprintf(stderr, "⚫ Testing missing root node:\n"); // Test case for a grammar that is missing a root rule - const std::string grammar_str = R"""(rot ::= expr -expr ::= term ("+" term)* -term ::= number -number ::= [0-9]+)"""; + const std::string grammar_str = R"""( + rot ::= expr + expr ::= term ("+" term)* + term ::= number + number ::= [0-9]+)"""; grammar_parser::parse_state parsed_grammar = grammar_parser::parse(grammar_str.c_str()); @@ -420,10 +449,10 @@ static void test_failure_missing_reference() { // Test case for a grammar that is missing a referenced rule const std::string grammar_str = -R"""(root ::= expr -expr ::= term ("+" term)* -term ::= numero -number ::= [0-9]+)"""; + R"""(root ::= expr + expr ::= term ("+" term)* + term ::= numero + number ::= [0-9]+)"""; fprintf(stderr, " Expected error: "); @@ -445,29 +474,558 @@ static void test_failure_left_recursion() { // Test more complicated left recursion detection const std::string medium_str = R"""( -root ::= asdf -asdf ::= "a" | asdf "a" -)"""; + root ::= asdf + asdf ::= "a" | asdf "a" + )"""; assert(test_build_grammar_fails(medium_str)); // Test even more complicated left recursion detection const std::string hard_str = R"""( -root ::= asdf -asdf ::= "a" | foo "b" -foo ::= "c" | asdf "d" | "e")"""; + root ::= asdf + asdf ::= "a" | foo "b" + foo ::= "c" | asdf "d" | "e")"""; assert(test_build_grammar_fails(hard_str)); // Test yet even more complicated left recursion detection const std::string hardest_str = R"""( -root ::= asdf -asdf ::= "a" | foo "b" -foo ::= "c" | empty asdf "d" | "e" -empty ::= "blah" | )"""; + root ::= asdf + asdf ::= "a" | foo "b" + foo ::= "c" | empty asdf "d" | "e" + empty ::= "blah" | )"""; assert(test_build_grammar_fails(hardest_str)); fprintf(stderr, " ✅︎ Passed\n"); } +static void test_json_schema() { + // Note that this is similar to the regular grammar tests, + // but we convert each json schema to a grammar before parsing. + // Otherwise, this test structure is the same. + + test_schema( + "empty schema (object)", + // Schema + R"""( + {} + )""", + // Passing strings + { + "{}", + R"""({"foo": "bar"})""", + }, + // Failing strings + { + "", + "[]", + "null", + "\"\"", + "true", + } + ); + + test_schema( + "exotic formats (list)", + // Schema + R"""( + { + "items": [ + { "format": "date" }, + { "format": "uuid" }, + { "format": "time" }, + { "format": "date-time" } + ] + } + )""", + // Passing strings + { + // "{}", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + // "[]", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + R"""(["2012-04-23", "12345678-1234-1234-1234-1234567890ab", "18:25:43.511Z", "2012-04-23T18:25:43.511Z"])""", + //R"""(["2012-04-23","12345678-1234-1234-1234-1234567890ab"])""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + //R"""({"foo": "bar"})""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it? + }, + // Failing strings + { + R"""(["foo", "bar"])""", + R"""(["12345678-1234-1234-1234-1234567890ab"])""", + } + ); + + test_schema( + "string", + // Schema + R"""( + { + "type": "string" + } + )""", + // Passing strings + { + "\"foo\"", + "\"bar\"", + "\"\"", + }, + // Failing strings + { + "{}", + "\"foo\": \"bar\"", + } + ); + + test_schema( + "string w/ min length 1", + // Schema + R"""( + { + "type": "string", + "minLength": 1 + } + )""", + // Passing strings + { + "\"foo\"", + "\"bar\"", + }, + // Failing strings + { + "\"\"", + "{}", + "\"foo\": \"bar\"", + } + ); + + test_schema( + "string w/ min length 3", + // Schema + R"""( + { + "type": "string", + "minLength": 3 + } + )""", + // Passing strings + { + "\"foo\"", + "\"bar\"", + "\"foobar\"", + }, + // Failing strings + { + "\"\"", + "\"f\"", + "\"fo\"", + } + ); + + test_schema( + "string w/ max length", + // Schema + R"""( + { + "type": "string", + "maxLength": 3 + } + )""", + // Passing strings + { + "\"foo\"", + "\"bar\"", + "\"\"", + "\"f\"", + "\"fo\"", + }, + // Failing strings + { + "\"foobar\"", + } + ); + + test_schema( + "string w/ min & max length", + // Schema + R"""( + { + "type": "string", + "minLength": 1, + "maxLength": 4 + } + )""", + // Passing strings + { + "\"foo\"", + "\"bar\"", + "\"f\"", + "\"barf\"", + }, + // Failing strings + { + "\"\"", + "\"barfo\"", + "\"foobar\"", + } + ); + + test_schema( + "boolean", + // Schema + R"""( + { + "type": "boolean" + } + )""", + // Passing strings + { + "true", + "false", + }, + // Failing strings + { + "\"\"", + "\"true\"", + "True", + "FALSE", + } + ); + + test_schema( + "integer", + // Schema + R"""( + { + "type": "integer" + } + )""", + // Passing strings + { + "0", + "12345", + "1234567890123456" + }, + // Failing strings + { + "", + "01", + "007", + "12345678901234567" + } + ); + + test_schema( + "string const", + // Schema + R"""( + { + "const": "foo" + } + )""", + // Passing strings + { + "\"foo\"", + }, + // Failing strings + { + "foo", + "\"bar\"", + } + ); + + test_schema( + "non-string const", + // Schema + R"""( + { + "const": true + } + )""", + // Passing strings + { + "true", + }, + // Failing strings + { + "", + "foo", + "\"true\"", + } + ); + + test_schema( + "non-string const", + // Schema + R"""( + { + "enum": ["red", "amber", "green", null, 42, ["foo"]] + } + )""", + // Passing strings + { + "\"red\"", + "null", + "42", + "[\"foo\"]", + }, + // Failing strings + { + "", + "420", + "true", + "foo", + } + ); + + + test_schema( + "min+max items", + // Schema + R"""( + { + "items": { + "type": ["number", "integer"] + }, + "minItems": 3, + "maxItems": 5 + } + )""", + // Passing strings + { + "[1, 2, 3]", + "[1, 2, 3, 4]", + "[1, 2, 3, 4, 5]", + }, + // Failing strings + { + "[1, 2]", + "[1, 2, 3, 4, 5, 6]", + "1" + } + ); + + // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties) + test_schema( + "object properties", + // Schema + R"""( + { + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + } + } + )""", + // Passing strings + { + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // "By default, leaving out properties is valid" + R"""({ "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + // "By extension, even an empty object is valid" + R"""({})""", + // "By default, providing additional properties is valid" +#ifdef INCLUDE_FAILING_TESTS + // TODO: The following should pass, but currently FAILS. Additional properties should be permitted by default. + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""", + // TODO: Spaces should be permitted around enum values, but currently they fail to pass. + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", +#endif + }, + // Failing strings + { + // Change datatype from number to string + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Reorder properties + R"""({ "street_name": "Pennsylvania", "number": 1600 })""", + // Reorder properties + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + } + ); + + + // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties) + test_schema( + "object properties, additionalProperties: true", + // Schema + R"""( + { + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + }, + "additionalProperties": true + } + )""", + // Passing strings + { + // "By extension, even an empty object is valid" + R"""({})""", +#ifdef INCLUDE_FAILING_TESTS + // TODO: Following line should pass and doesn't + R"""({"number":1600,"street_name":"Pennsylvania","street_type":"Avenue"})""", + // "By default, leaving out properties is valid" + // TODO: Following line should pass and doesn't + R"""({ "street_name": "Pennsylvania" })""", + // TODO: Following line should pass and doesn't + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + // "By default, providing additional properties is valid" + // TODO: The following should pass, but currently FAILS. Additional properties should be permitted by default. + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""", + // TODO: Spaces should be permitted around enum values, but currently they fail to pass. + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", +#endif + }, + // Failing strings + { + // Change datatype from number to string + R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""", + // Reorder properties + R"""({ "street_name": "Pennsylvania", "number": 1600, "street_type":"Avenue"})""", + } + ); + + // Additional properties: false + test_schema( + "required + optional props each in original order", + // Schema + R"""( + { + "type": "object", + "properties": { + "number": { "type": "number" }, + "street_name": { "type": "string" }, + "street_type": { "enum": ["Street", "Avenue", "Boulevard"] } + }, + "additionalProperties": false + } + )""", + // Passing strings + { + R"""({ "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_type":"Avenue"})""", + R"""({ "number": 1600, "street_name": "Pennsylvania" })""", + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""", +#ifdef INCLUDE_FAILING_TESTS + // TODO: Spaces should be permitted around enum values, but currently they fail to pass. + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""", +#endif + }, + // Failing strings + { + // Reorder properties + R"""({ "street_type": "Avenue", "number": 1600 })""", + // Add "direction" + R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue", "direction": "NW" })""", + } + ); + + test_schema( + "required + optional props each in original order", + // Schema + R"""( + { + "properties": { + "b": {"type": "string"}, + "a": {"type": "string"}, + "d": {"type": "string"}, + "c": {"type": "string"} + }, + "required": ["a", "b"], + "additionalProperties": false + } + )""", + // Passing strings + { + R"""({"b": "foo", "a": "bar"})""", + R"""({"b":"foo","a":"bar","d":"qux"})""", + R"""({"b":"foo", "a":"bar", "d":"qux", "c":"baz"})""", + }, + // Failing strings + { + R"""({"a": "foo", "b": "bar"})""", + R"""({"b": "bar"})""", + R"""({"a": "foo", "c": "baz"})""", + R"""({"a":"foo", "b":"bar", "c":"baz", "d":"qux"})""", + } + ); + + // NOTE: Example from https://json-schema.org/learn/getting-started-step-by-step#define-required-properties + test_schema( + "required props", + // Schema + R"""( + { + "$schema": "https://json-schema.org/draft/2020-12/schema", + "$id": "https://example.com/product.schema.json", + "title": "Product", + "description": "A product from Acme's catalog", + "type": "object", + "properties": { + "productId": { + "description": "The unique identifier for a product", + "type": "integer" + }, + "productName": { + "description": "Name of the product", + "type": "string" + }, + "price": { + "description": "The price of the product", + "type": "number", + "exclusiveMinimum": 0 + }, + "tags": { + "description": "Tags for the product", + "type": "array", + "items": { + "type": "string" + }, + "minItems": 1, + "uniqueItems": true + }, + "dimensions": { + "type": "object", + "properties": { + "length": { + "type": "number" + }, + "width": { + "type": "number" + }, + "height": { + "type": "number" + } + }, + "required": [ "length", "width", "height" ] + } + }, + "required": [ "productId", "productName", "price" ] + } + )""", + // Passing strings + { + R"""({"productId": 1, "productName": "A green door", "price": 12.50})""", + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"]})""", + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"], "dimensions": {"length": 785, "width": 250.5, "height": -0.359}})""", + }, + // Failing strings + { + R"""({})""", // Missing all required properties + R"""({"productName": "A green door", "price": 12.50, "productId": 1})""", // Out of order properties + // TODO: The following line should fail, but currently it passes. `exclusiveMinimum` is not supported, as it would likely be too difficult to implement. + // Perhaps special checks for minimum and maximum values of 0 could be added (since that's relatively easy to do with grammars), but anything else would likely be too complex. + // R"""({"productId": 1, "productName": "A green door", "price": -12.50})""", + R"""({"productId": 1, "productName": "A green door"})""", // Missing required property (price) + R"""({"productName": "A green door", "price": 12.50})""", // Missing required property (productId) + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": []})""", // tags is empty, but minItems is 1 + R"""({"productId": 1, "productName": "A green door", "price": 12.50, "dimensions": {"length": 785, "width": 250.5, "height": -0.359}, "tags": ["home", "green"]})""", // Tags and dimensions are out of order + // TODO: The following line should fail, but currently it passes. `uniqueItems` is not supported, as it would likely be too difficult to implement. + // R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green", "home"]})""", + } + ); +} + int main() { fprintf(stdout, "Running grammar integration tests...\n"); test_simple_grammar(); @@ -477,6 +1035,7 @@ int main() { test_failure_missing_root(); test_failure_missing_reference(); test_failure_left_recursion(); + test_json_schema(); fprintf(stdout, "All tests passed.\n"); return 0; } From 5b48cd53a87928db0c6447f0c9dac4db5802102d Mon Sep 17 00:00:00 2001 From: ddh0 Date: Sat, 22 Jun 2024 07:16:10 -0600 Subject: [PATCH 46/59] Update llama-quantize ppl/file size output from LLaMA-v1 to Llama-3 values (#8058) Uses the values computed by @JohannesGaessler in PR #7413 --- examples/quantize/quantize.cpp | 46 +++++++++++++++++----------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp index 28584e14b..76e2052d5 100644 --- a/examples/quantize/quantize.cpp +++ b/examples/quantize/quantize.cpp @@ -16,41 +16,41 @@ struct quant_option { }; static const std::vector QUANT_OPTIONS = { - { "Q4_0", LLAMA_FTYPE_MOSTLY_Q4_0, " 3.56G, +0.2166 ppl @ LLaMA-v1-7B", }, - { "Q4_1", LLAMA_FTYPE_MOSTLY_Q4_1, " 3.90G, +0.1585 ppl @ LLaMA-v1-7B", }, - { "Q5_0", LLAMA_FTYPE_MOSTLY_Q5_0, " 4.33G, +0.0683 ppl @ LLaMA-v1-7B", }, - { "Q5_1", LLAMA_FTYPE_MOSTLY_Q5_1, " 4.70G, +0.0349 ppl @ LLaMA-v1-7B", }, + { "Q4_0", LLAMA_FTYPE_MOSTLY_Q4_0, " 4.34G, +0.4685 ppl @ Llama-3-8B", }, + { "Q4_1", LLAMA_FTYPE_MOSTLY_Q4_1, " 4.78G, +0.4511 ppl @ Llama-3-8B", }, + { "Q5_0", LLAMA_FTYPE_MOSTLY_Q5_0, " 5.21G, +0.1316 ppl @ Llama-3-8B", }, + { "Q5_1", LLAMA_FTYPE_MOSTLY_Q5_1, " 5.65G, +0.1062 ppl @ Llama-3-8B", }, { "IQ2_XXS",LLAMA_FTYPE_MOSTLY_IQ2_XXS," 2.06 bpw quantization", }, { "IQ2_XS", LLAMA_FTYPE_MOSTLY_IQ2_XS, " 2.31 bpw quantization", }, { "IQ2_S", LLAMA_FTYPE_MOSTLY_IQ2_S, " 2.5 bpw quantization", }, { "IQ2_M", LLAMA_FTYPE_MOSTLY_IQ2_M, " 2.7 bpw quantization", }, { "IQ1_S", LLAMA_FTYPE_MOSTLY_IQ1_S, " 1.56 bpw quantization", }, { "IQ1_M", LLAMA_FTYPE_MOSTLY_IQ1_M, " 1.75 bpw quantization", }, - { "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.63G, +0.6717 ppl @ LLaMA-v1-7B", }, - { "Q2_K_S", LLAMA_FTYPE_MOSTLY_Q2_K_S, " 2.16G, +9.0634 ppl @ LLaMA-v1-7B", }, + { "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.96G, +3.5199 ppl @ Llama-3-8B", }, + { "Q2_K_S", LLAMA_FTYPE_MOSTLY_Q2_K_S, " 2.96G, +3.1836 ppl @ Llama-3-8B", }, { "IQ3_XXS",LLAMA_FTYPE_MOSTLY_IQ3_XXS," 3.06 bpw quantization", }, { "IQ3_S", LLAMA_FTYPE_MOSTLY_IQ3_S, " 3.44 bpw quantization", }, { "IQ3_M", LLAMA_FTYPE_MOSTLY_IQ3_M, " 3.66 bpw quantization mix", }, - { "Q3_K", LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" }, - { "IQ3_XS", LLAMA_FTYPE_MOSTLY_IQ3_XS, " 3.3 bpw quantization" , }, - { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 2.75G, +0.5551 ppl @ LLaMA-v1-7B", }, - { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.07G, +0.2496 ppl @ LLaMA-v1-7B", }, - { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 3.35G, +0.1764 ppl @ LLaMA-v1-7B", }, + { "Q3_K", LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" }, + { "IQ3_XS", LLAMA_FTYPE_MOSTLY_IQ3_XS, " 3.3 bpw quantization", }, + { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 3.41G, +1.6321 ppl @ Llama-3-8B", }, + { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.74G, +0.6569 ppl @ Llama-3-8B", }, + { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 4.03G, +0.5562 ppl @ Llama-3-8B", }, { "IQ4_NL", LLAMA_FTYPE_MOSTLY_IQ4_NL, " 4.50 bpw non-linear quantization", }, { "IQ4_XS", LLAMA_FTYPE_MOSTLY_IQ4_XS, " 4.25 bpw non-linear quantization", }, - { "Q4_K", LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M", }, - { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 3.59G, +0.0992 ppl @ LLaMA-v1-7B", }, - { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 3.80G, +0.0532 ppl @ LLaMA-v1-7B", }, - { "Q5_K", LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M", }, - { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 4.33G, +0.0400 ppl @ LLaMA-v1-7B", }, - { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 4.45G, +0.0122 ppl @ LLaMA-v1-7B", }, - { "Q6_K", LLAMA_FTYPE_MOSTLY_Q6_K, " 5.15G, +0.0008 ppl @ LLaMA-v1-7B", }, - { "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 6.70G, +0.0004 ppl @ LLaMA-v1-7B", }, - { "F16", LLAMA_FTYPE_MOSTLY_F16, "14.00G, -0.0020 ppl @ Mistral-7B", }, - { "BF16", LLAMA_FTYPE_MOSTLY_BF16, "14.00G, -0.0050 ppl @ Mistral-7B", }, - { "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", }, + { "Q4_K", LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M", }, + { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 4.37G, +0.2689 ppl @ Llama-3-8B", }, + { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 4.58G, +0.1754 ppl @ Llama-3-8B", }, + { "Q5_K", LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M", }, + { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 5.21G, +0.1049 ppl @ Llama-3-8B", }, + { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 5.33G, +0.0569 ppl @ Llama-3-8B", }, + { "Q6_K", LLAMA_FTYPE_MOSTLY_Q6_K, " 6.14G, +0.0217 ppl @ Llama-3-8B", }, + { "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 7.96G, +0.0026 ppl @ Llama-3-8B", }, + { "F16", LLAMA_FTYPE_MOSTLY_F16, "14.00G, +0.0020 ppl @ Mistral-7B", }, + { "BF16", LLAMA_FTYPE_MOSTLY_BF16, "14.00G, -0.0050 ppl @ Mistral-7B", }, + { "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", }, // Note: Ensure COPY comes after F32 to avoid ftype 0 from matching. - { "COPY", LLAMA_FTYPE_ALL_F32, "only copy tensors, no quantizing", }, + { "COPY", LLAMA_FTYPE_ALL_F32, "only copy tensors, no quantizing", }, }; static const char * const LLM_KV_QUANTIZE_IMATRIX_FILE = "quantize.imatrix.file"; From 3aa184a8c7c553b5dfcc142d919f3db695df297a Mon Sep 17 00:00:00 2001 From: 0xspringtime <110655352+0xspringtime@users.noreply.github.com> Date: Sat, 22 Jun 2024 09:37:41 -0400 Subject: [PATCH 47/59] convert-hf : change assert to exception (#8015) --- convert-hf-to-gguf.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py index a6751cc80..166e5ded2 100755 --- a/convert-hf-to-gguf.py +++ b/convert-hf-to-gguf.py @@ -967,7 +967,13 @@ class XverseModel(Model): from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained(dir_model) vocab_size = hparams.get("vocab_size", len(tokenizer.vocab)) - assert max(tokenizer.vocab.values()) < vocab_size + # Since we are checking the maximum index, we need to ensure it's strictly less than vocab_size, + # because vocab_size is the count of items, and indexes start at 0. + max_vocab_index = max(tokenizer.get_vocab().values()) + if max_vocab_index >= vocab_size: + raise ValueError("Vocabulary size exceeds expected maximum size.") + + reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()} added_vocab = tokenizer.get_added_vocab() From adf480c3ab3abedc964c8ae381476257583ae134 Mon Sep 17 00:00:00 2001 From: HatsuneMikuUwU33 <173229399+HatsuneMikuUwU33@users.noreply.github.com> Date: Sat, 22 Jun 2024 17:19:37 +0200 Subject: [PATCH 48/59] =?UTF-8?q?cvector-generator:=20Moe=20Moe=20Fixie-Fi?= =?UTF-8?q?xie=20for=20Lots=20of=20Formats~!=20=E2=99=A1(=E1=90=A2=20?= =?UTF-8?q?=E1=B4=A5=20=E1=90=A2)=E2=99=A1=20(#8052)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Update negative.txt * Update positive.txt * Update cvector-generator.cpp * Update cvector-generator.cpp --- examples/cvector-generator/cvector-generator.cpp | 4 ++-- examples/cvector-generator/negative.txt | 2 +- examples/cvector-generator/positive.txt | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp index 9941683db..8653bb630 100644 --- a/examples/cvector-generator/cvector-generator.cpp +++ b/examples/cvector-generator/cvector-generator.cpp @@ -377,8 +377,8 @@ static int prepare_entries(gpt_params & params, train_context & ctx_train) { // create templated prompts std::vector completions = ctrlvec_load_prompt_file(params.cvector_completions_file, false); auto format_template = [](std::string persona, std::string suffix) { - // entry in positive/negative.txt must already be formatted i.e. "[INST] Act as if you're extremely happy. [/INST]" - return persona + " " + suffix; + // entry in positive/negative.txt must already be formatted i.e. "[INST] Act as if you're extremely happy. [/INST] " + return persona + suffix; }; for (size_t i = 0; i < positive_prompts.size(); ++i) { for (int j = 0; j < std::min((int) completions.size(), params.n_completions); ++j) { diff --git a/examples/cvector-generator/negative.txt b/examples/cvector-generator/negative.txt index 2ac3387f1..3e9951752 100644 --- a/examples/cvector-generator/negative.txt +++ b/examples/cvector-generator/negative.txt @@ -1 +1 @@ -[INST] Act like a person who is extremely sad. [/INST] \ No newline at end of file +[INST] Act like a person who is extremely sad. [/INST] diff --git a/examples/cvector-generator/positive.txt b/examples/cvector-generator/positive.txt index f28e9aa1a..880236787 100644 --- a/examples/cvector-generator/positive.txt +++ b/examples/cvector-generator/positive.txt @@ -1 +1 @@ -[INST] Act like a person who is extremely happy. [/INST] \ No newline at end of file +[INST] Act like a person who is extremely happy. [/INST] From 3e58b0ee355f78be41cf5211b68426761339bc3c Mon Sep 17 00:00:00 2001 From: Xuan Son Nguyen Date: Sat, 22 Jun 2024 18:11:30 +0200 Subject: [PATCH 49/59] cvector: fix CI + correct help message (#8064) * cvector: fix CI + correct help message * also correct --pca-iter --- .editorconfig | 1 + common/common.cpp | 4 ++-- examples/cvector-generator/README.md | 2 +- examples/cvector-generator/cvector-generator.cpp | 2 +- 4 files changed, 5 insertions(+), 4 deletions(-) diff --git a/.editorconfig b/.editorconfig index bd525e13f..f88f8da67 100644 --- a/.editorconfig +++ b/.editorconfig @@ -28,4 +28,5 @@ indent_size = 2 indent_style = tab [examples/cvector-generator/*.txt] +trim_trailing_whitespace = unset insert_final_newline = unset diff --git a/common/common.cpp b/common/common.cpp index 64f160af1..cfdedcbae 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1989,8 +1989,8 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param options.push_back({ "cvector", " --completions-file FNAME", "completions file (default: '%s')", params.cvector_completions_file.c_str() }); options.push_back({ "cvector", " --completions N", "number of lines of completions file to use (default: %d)", params.n_completions }); - options.push_back({ "cvector", " --batch-pca N", "batch size used for PCA. Larger batch runs faster, but uses more memory (default: %d)", params.n_pca_batch }); - options.push_back({ "cvector", " --iter-pca N", "number of iterations used for PCA (default: %d)", params.n_pca_iterations }); + options.push_back({ "cvector", " --pca-batch N", "batch size used for PCA. Larger batch runs faster, but uses more memory (default: %d)", params.n_pca_batch }); + options.push_back({ "cvector", " --pca-iter N", "number of iterations used for PCA (default: %d)", params.n_pca_iterations }); printf("usage: %s [options]\n", argv[0]); diff --git a/examples/cvector-generator/README.md b/examples/cvector-generator/README.md index 7b0e79c1f..5182e906d 100644 --- a/examples/cvector-generator/README.md +++ b/examples/cvector-generator/README.md @@ -17,7 +17,7 @@ Related PRs: ./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 # With advanced options -./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100 +./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --pca-batch 100 # To see help message ./cvector-generator -h diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp index 8653bb630..355905cb0 100644 --- a/examples/cvector-generator/cvector-generator.cpp +++ b/examples/cvector-generator/cvector-generator.cpp @@ -40,7 +40,7 @@ static void print_usage(int argc, char ** argv, const gpt_params & params) { printf("\nexample usage:\n"); printf("\n CPU only: %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf\n", argv[0]); printf("\n with GPU: %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99\n", argv[0]); - printf("\n advanced: %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100\n", argv[0]); + printf("\n advanced: %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --pca-batch 100\n", argv[0]); printf("\n"); } From b5a5f34efadec8d8f0057b35cb04742abfeb2ef5 Mon Sep 17 00:00:00 2001 From: Clint Herron Date: Sat, 22 Jun 2024 14:28:18 -0400 Subject: [PATCH 50/59] Removing extra blank lines that were breaking Lint. (#8067) --- convert-hf-to-gguf.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py index 166e5ded2..3107b69f7 100755 --- a/convert-hf-to-gguf.py +++ b/convert-hf-to-gguf.py @@ -973,8 +973,6 @@ class XverseModel(Model): if max_vocab_index >= vocab_size: raise ValueError("Vocabulary size exceeds expected maximum size.") - - reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()} added_vocab = tokenizer.get_added_vocab() From 45c0e2e4c1268c2d7c8c45536f15e3c9a731ecdc Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 23 Jun 2024 10:21:25 +0200 Subject: [PATCH 51/59] Refactor Vulkan backend to allow multiple contexts (#7961) * Refactor Vulkan backend to allow multiple contexts * Fix too many shader groups called validation error in llama3 on AMD and Intel GPUs * Fix Vulkan debug build error --- ggml-vulkan-shaders.hpp | 39661 +++++++++++++------------ ggml-vulkan.cpp | 2023 +- vulkan-shaders/mul_mat_vec.comp | 2 +- vulkan-shaders/mul_mat_vec_q2_k.comp | 2 +- vulkan-shaders/mul_mat_vec_q3_k.comp | 2 +- vulkan-shaders/mul_mat_vec_q4_k.comp | 2 +- vulkan-shaders/mul_mat_vec_q5_k.comp | 2 +- vulkan-shaders/mul_mat_vec_q6_k.comp | 2 +- 8 files changed, 21021 insertions(+), 20675 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index e97a8c6b7..01ff66f71 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -120086,669 +120086,1007 @@ const uint64_t mul_f32_len = 4276; unsigned char mul_mat_vec_f16_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x41,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x48,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 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uint64_t mul_mat_vec_id_q2_k_f32_len = 8412; unsigned char mul_mat_vec_id_q3_k_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x5c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x63,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00, 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, 0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00, -0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x84,0x00,0x00,0x00, -0xac,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x37,0x03,0x00,0x00, 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+const uint64_t mul_mat_vec_id_q5_0_f32_len = 4512; + +unsigned char mul_mat_vec_id_q5_1_f32_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0x90,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, +0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, +0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, +0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00, +0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00, +0x7b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x96,0x00,0x00,0x00, +0x99,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xb2,0x00,0x00,0x00, +0xeb,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x10,0x00,0x06,0x00, +0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 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+0x22,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, +0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfb,0x00,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t mul_mat_vec_id_q8_0_f32_len = 3808; +const uint64_t mul_mat_vec_id_q8_0_f32_len = 3956; unsigned char mul_mat_vec_nc_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -128413,4167 +128615,3208 @@ const uint64_t mul_mat_vec_p021_f16_f32_len = 2768; unsigned char mul_mat_vec_q2_k_f16_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x49,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x50,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00, 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, 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mul_mat_vec_q3_k_f16_f32_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0x8c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, +0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00, +0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, +0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, +0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00, +0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, +0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00, +0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00, +0xc4,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x53,0x03,0x00,0x00, +0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, +0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 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0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00, @@ -132828,1803 +132079,3658 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = { 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x08,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, -0xff,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00, -0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xff,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x85,0x00,0x00,0x00, +0x85,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00, 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00, -0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x67,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00, 0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0x0d,0x01,0x00,0x00, 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+unsigned char mul_mat_vec_q6_k_f32_f32_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0x1d,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00, +0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00, +0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, +0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, +0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00, +0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, +0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00, +0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xa0,0x00,0x00,0x00, +0xc5,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xec,0x01,0x00,0x00, +0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, +0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 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+0xf4,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0xa9,0x00,0x00,0x00, +0xf7,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x7e,0x00,0x00,0x00, +0xf6,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf7,0x00,0x00,0x00, +0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, +0xf2,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xa9,0x00,0x00,0x00, +0xfa,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x64,0x01,0x00,0x00, +0xf7,0x00,0x03,0x00,0xfc,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0xfa,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, +0xfc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfb,0x00,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00, +0x8c,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x41,0x00,0x05,0x00, +0x9d,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x9a,0x00,0x00,0x00, +0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, +0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, +0x08,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x9e,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00, +0x04,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, +0x9e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0xfc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00, +0xe0,0x00,0x04,0x00,0x84,0x00,0x00,0x00,0x84,0x00,0x00,0x00, +0xee,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00, +0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xc2,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x64,0x01,0x00,0x00, +0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf1,0x00,0x00,0x00, +0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0xaa,0x00,0x05,0x00, +0xa9,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x8c,0x00,0x00,0x00, +0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x0c,0x01,0x00,0x00, +0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x0a,0x01,0x00,0x00, +0x0b,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, +0x0b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x13,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x88,0x00,0x00,0x00, +0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x14,0x01,0x00,0x00, +0x9a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x08,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00, +0x41,0x00,0x06,0x00,0xd8,0x00,0x00,0x00,0x16,0x01,0x00,0x00, +0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x13,0x01,0x00,0x00, +0x3e,0x00,0x03,0x00,0x16,0x01,0x00,0x00,0x15,0x01,0x00,0x00, +0xf9,0x00,0x02,0x00,0x0c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, +0x0c,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + +}; +const uint64_t mul_mat_vec_q8_0_f32_f32_len = 4032; unsigned char norm_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 87af33b56..c31877403 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -17,6 +17,8 @@ #include #include #include +#include +#include #include "ggml.h" #include "ggml-backend-impl.h" @@ -103,7 +105,41 @@ struct vk_matmul_pipeline_struct { typedef std::shared_ptr vk_matmul_pipeline; -struct vk_device { +struct vk_device_struct; +typedef std::shared_ptr vk_device; +typedef std::weak_ptr vk_device_ref; + +struct vk_buffer_struct; +typedef std::shared_ptr vk_buffer; +typedef std::weak_ptr vk_buffer_ref; + +struct ggml_backend_vk_buffer_type_context { + std::string name; + vk_device device; +}; + +GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buffer_type_t buft); +GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size); +GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type_t buft); +GGML_CALL static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft); +GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor); +static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = { + /* .get_name = */ ggml_backend_vk_buffer_type_name, + /* .alloc_buffer = */ ggml_backend_vk_buffer_type_alloc_buffer, + /* .get_alignment = */ ggml_backend_vk_buffer_type_get_alignment, + /* .get_max_size = */ ggml_backend_vk_buffer_type_get_max_size, + /* .get_alloc_size = */ ggml_backend_vk_buffer_type_get_alloc_size, + /* .is_host = */ NULL, +}; + +#ifdef GGML_VULKAN_MEMORY_DEBUG +class vk_memory_logger; +#endif +static void ggml_vk_destroy_buffer(vk_buffer& buf); + +struct vk_device_struct { + std::mutex mutex; + vk::PhysicalDevice physical_device; vk::PhysicalDeviceProperties properties; std::string name; @@ -118,7 +154,6 @@ struct vk_device { uint32_t subgroup_size; bool uma; - bool initialized; size_t idx; vk_matmul_pipeline pipeline_matmul_f32; @@ -165,8 +200,24 @@ struct vk_device { std::vector pipelines; - ~vk_device() { + std::vector> pinned_memory; + + vk::Fence fence; + vk_buffer sync_staging; + + ggml_backend_buffer_type buffer_type; + +#ifdef GGML_VULKAN_MEMORY_DEBUG + std::unique_ptr memory_logger; +#endif + + ~vk_device_struct() { VK_LOG_DEBUG("destroy device " << name); + + device.destroyFence(fence); + + ggml_vk_destroy_buffer(sync_staging); + device.destroyCommandPool(compute_queue.pool); if (!single_queue) { device.destroyCommandPool(transfer_queue.pool); @@ -193,9 +244,7 @@ struct vk_buffer_struct { void * ptr; size_t size = 0; - ggml_backend_vk_context * ctx; - - std::shared_ptr device; + vk_device device; ~vk_buffer_struct() { if (size == 0) { @@ -208,9 +257,6 @@ struct vk_buffer_struct { } }; -typedef std::shared_ptr vk_buffer; -typedef std::weak_ptr vk_buffer_ref; - struct vk_subbuffer { vk_buffer buffer; uint64_t offset; @@ -359,8 +405,6 @@ struct ggml_vk_garbage_collector { }; #if defined(GGML_VULKAN_MEMORY_DEBUG) || defined(GGML_VULKAN_DEBUG) -#include - #define VK_LOG_MEMORY(msg) std::cerr << "ggml_vulkan memory: " << msg << std::endl static std::string format_size(size_t size) { @@ -404,31 +448,21 @@ private: struct ggml_backend_vk_context { std::string name; - std::shared_ptr device; + vk_device device; size_t semaphore_idx, event_idx; ggml_vk_garbage_collector gc; - std::vector> pinned_memory; size_t prealloc_size_x, prealloc_size_y, prealloc_size_split_k; vk_buffer prealloc_x, prealloc_y, prealloc_split_k; vk::Fence fence; vk_buffer staging; size_t staging_size; size_t staging_offset; - vk_buffer sync_staging; vk_buffer buffer_pool[MAX_VK_BUFFERS]; vk_context * compute_ctx; vk_context * transfer_ctx; - - bool initialized; - - size_t idx; - -#ifdef GGML_VULKAN_MEMORY_DEBUG - vk_memory_logger memory_logger; -#endif }; #ifdef GGML_VULKAN_MEMORY_DEBUG @@ -440,7 +474,7 @@ void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) { allocations[buf->buffer] = size; total_device += device ? size : 0; total_host += device ? 0 : size; - VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); + VK_LOG_MEMORY(buf->device->name << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); } void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) { @@ -456,10 +490,10 @@ void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) { total_device -= device ? it->second : 0; total_host -= device ? 0 : it->second; if (it != allocations.end()) { - VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); + VK_LOG_MEMORY(buf->device->name << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host)); allocations.erase(it); } else { - VK_LOG_MEMORY("ERROR VULKAN" << buf->ctx->idx << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer); + VK_LOG_MEMORY("ERROR " << buf->device->name << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer); } } #endif // GGML_VULKAN_MEMORY_DEBUG @@ -468,27 +502,11 @@ struct vk_instance_t { vk::Instance instance; std::vector device_indices; - - ggml_backend_t backends[GGML_VK_MAX_DEVICES]; - ggml_backend_vk_context contexts[GGML_VK_MAX_DEVICES]; - ggml_backend_buffer_type buffer_types[GGML_VK_MAX_DEVICES]; - bool initialized[GGML_VK_MAX_DEVICES]; + vk_device devices[GGML_VK_MAX_DEVICES]; }; -static std::shared_ptr ggml_vk_get_device(size_t idx) { - VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")"); - static std::weak_ptr devices[GGML_VK_MAX_DEVICES]; - - if (devices[idx].expired()) { - VK_LOG_DEBUG("Initializing new vk_device"); - std::shared_ptr device = std::make_shared(); - device->initialized = false; - devices[idx] = device; - return device; - } - - return devices[idx].lock(); -} +static bool vk_instance_initialized = false; +static vk_instance_t vk_instance; #ifdef GGML_VULKAN_CHECK_RESULTS static size_t vk_skip_checks; @@ -501,16 +519,15 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_ typedef void (*ggml_vk_func_t)(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); -static bool vk_instance_initialized = false; -static vk_instance_t vk_instance; - GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend); -static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { - VK_LOG_DEBUG("ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")"); +static void ggml_vk_create_pipeline(vk_device& device, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { + VK_LOG_DEBUG("ggml_vk_create_pipeline(" << device->name << ", " << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")"); GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT + std::lock_guard guard(device->mutex); + pipeline = std::make_shared(); pipeline->name = name; pipeline->parameter_count = parameter_count; @@ -519,7 +536,7 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& pipeline->align = align; vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast(spv_data)); - pipeline->shader_module = ctx->device->device.createShaderModule(shader_module_create_info); + pipeline->shader_module = device->device.createShaderModule(shader_module_create_info); std::vector dsl_binding; std::vector dsl_binding_flags; @@ -540,17 +557,17 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& {}, dsl_binding); descriptor_set_layout_create_info.setPNext(&dslbfci); - pipeline->dsl = ctx->device->device.createDescriptorSetLayout(descriptor_set_layout_create_info); + pipeline->dsl = device->device.createDescriptorSetLayout(descriptor_set_layout_create_info); // Check if device supports multiple descriptors per pool - if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN) { + if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN) { const uint32_t alloc_count = 2; // Try allocating multiple sets from one pool // This fails on AMD for some reason, so add a fall back to allocating one pool per set vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count); vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, alloc_count, descriptor_pool_size); - vk::DescriptorPool pool = ctx->device->device.createDescriptorPool(descriptor_pool_create_info); + vk::DescriptorPool pool = device->device.createDescriptorPool(descriptor_pool_create_info); std::vector layouts(alloc_count); for (uint32_t i = 0; i < alloc_count; i++) { @@ -558,24 +575,24 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& } try { vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pool, alloc_count, layouts.data()); - std::vector sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info); + std::vector sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info); } catch(vk::OutOfPoolMemoryError const&) { - ctx->device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE; + device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE; } - ctx->device->device.destroyDescriptorPool(pool); + device->device.destroyDescriptorPool(pool); } - if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { + if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count); vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 128, descriptor_pool_size); - pipeline->descriptor_pools.push_back(ctx->device->device.createDescriptorPool(descriptor_pool_create_info)); + pipeline->descriptor_pools.push_back(device->device.createDescriptorPool(descriptor_pool_create_info)); } pipeline->descriptor_set_idx = 0; vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline->dsl, pcr); - pipeline->layout = ctx->device->device.createPipelineLayout(pipeline_layout_create_info); + pipeline->layout = device->device.createPipelineLayout(pipeline_layout_create_info); std::vector specialization_entries(specialization_constants.size()); @@ -602,9 +619,9 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& vk::PipelineCreateFlags(), pipeline_shader_create_info, pipeline->layout); - pipeline->pipeline = ctx->device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; + pipeline->pipeline = device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; - ctx->device->pipelines.push_back(pipeline); + device->pipelines.push_back(pipeline); } static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) { @@ -625,14 +642,16 @@ static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) device.destroyPipeline(pipeline->pipeline); } -static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, uint32_t n) { +static void ggml_pipeline_allocate_descriptor_sets(vk_device& device, vk_pipeline& pipeline, uint32_t n) { VK_LOG_DEBUG("ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")"); if (pipeline->descriptor_sets.size() >= pipeline->descriptor_set_idx + n) { // Enough descriptors are available return; } - if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { + std::lock_guard guard(device->mutex); + + if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { const uint32_t alloc_count = pipeline->descriptor_set_idx + n - pipeline->descriptor_sets.size(); std::vector layouts(alloc_count); @@ -640,16 +659,16 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx layouts[i] = pipeline->dsl; } vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline->descriptor_pools[0], alloc_count, layouts.data()); - std::vector sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info); + std::vector sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info); pipeline->descriptor_sets.insert(pipeline->descriptor_sets.end(), sets.begin(), sets.end()); } else { for (uint32_t i = pipeline->descriptor_sets.size(); i < pipeline->descriptor_set_idx + n; i++) { vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count); vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 1, descriptor_pool_size); - pipeline->descriptor_pools.push_back(ctx->device->device.createDescriptorPool(descriptor_pool_create_info)); + pipeline->descriptor_pools.push_back(device->device.createDescriptorPool(descriptor_pool_create_info)); vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline->descriptor_pools[i], 1, &pipeline->dsl); - std::vector sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info); + std::vector sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info); pipeline->descriptor_sets.push_back(sets[0]); } } @@ -660,8 +679,10 @@ static void ggml_pipeline_cleanup(vk_pipeline& pipeline) { pipeline->descriptor_set_idx = 0; } -static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx, vk_queue& q) { +static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_device& device, vk_queue& q) { VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()"); + std::lock_guard guard(device->mutex); + if (q.cmd_buffers.size() > q.cmd_buffer_idx) { // Reuse command buffer return q.cmd_buffers[q.cmd_buffer_idx++]; @@ -671,7 +692,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx q.pool, vk::CommandBufferLevel::ePrimary, 1); - const std::vector cmd_buffers = ctx->device->device.allocateCommandBuffers(command_buffer_alloc_info); + const std::vector cmd_buffers = device->device.allocateCommandBuffers(command_buffer_alloc_info); auto buf = cmd_buffers.front(); q.cmd_buffers.push_back(buf); @@ -680,10 +701,10 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx return buf; } -static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_submission ggml_vk_create_submission(vk_device& device, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { VK_LOG_DEBUG("ggml_vk_create_submission()"); vk_submission s; - s.buffer = ggml_vk_create_cmd_buffer(ctx, q); + s.buffer = ggml_vk_create_cmd_buffer(device, q); s.wait_semaphores = std::move(wait_semaphores); s.signal_semaphores = std::move(signal_semaphores); return s; @@ -809,16 +830,18 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector guard(device->mutex); + q.queue_family_index = queue_family_index; vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), queue_family_index); - q.pool = ctx->device->device.createCommandPool(command_pool_create_info_compute); + q.pool = device->device.createCommandPool(command_pool_create_info_compute); q.cmd_buffer_idx = 0; - q.queue = ctx->device->device.getQueue(queue_family_index, queue_index); + q.queue = device->device.getQueue(queue_family_index, queue_index); q.stage_flags = stage_flags; } @@ -833,6 +856,15 @@ static vk_context * ggml_vk_create_context(ggml_backend_vk_context * ctx, vk_que return result; } +static vk_context * ggml_vk_create_temporary_context(vk_queue& q) { + VK_LOG_DEBUG("ggml_vk_create_temporary_context()"); + vk_context * result = new vk_context; + memset((void *) result, 0, sizeof(vk_context)); + result->idx = 0; + result->q = &q; + return result; +} + static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context * ctx) { VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()"); vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eBinary, 0 }; @@ -862,11 +894,12 @@ static vk::Event ggml_vk_create_event(ggml_backend_vk_context * ctx) { return ctx->gc.events[ctx->event_idx++]; } -static void ggml_vk_queue_cleanup(ggml_backend_vk_context * ctx, vk_queue& q) { +static void ggml_vk_queue_cleanup(vk_device& device, vk_queue& q) { VK_LOG_DEBUG("ggml_vk_queue_cleanup()"); - // Requires command buffers to be done + std::lock_guard guard(device->mutex); - ctx->device->device.resetCommandPool(q.pool); + // Requires command buffers to be done + device->device.resetCommandPool(q.pool); q.cmd_buffer_idx = 0; } @@ -882,8 +915,10 @@ static uint32_t find_properties(const vk::PhysicalDeviceMemoryProperties* mem_pr return UINT32_MAX; } -static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) { - VK_LOG_DEBUG("ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")"); +static vk_buffer ggml_vk_create_buffer(vk_device& device, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) { + VK_LOG_DEBUG("ggml_vk_create_buffer(" << device->name << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")"); + std::lock_guard guard(device->mutex); + vk_buffer buf = std::make_shared(); if (size == 0) { @@ -901,11 +936,11 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz nullptr, }; - buf->buffer = ctx->device->device.createBuffer(buffer_create_info); + buf->buffer = device->device.createBuffer(buffer_create_info); - vk::MemoryRequirements mem_req = ctx->device->device.getBufferMemoryRequirements(buf->buffer); + vk::MemoryRequirements mem_req = device->device.getBufferMemoryRequirements(buf->buffer); - vk::PhysicalDeviceMemoryProperties mem_props = ctx->device->physical_device.getMemoryProperties(); + vk::PhysicalDeviceMemoryProperties mem_props = device->physical_device.getMemoryProperties(); uint32_t memory_type_index = UINT32_MAX; @@ -918,41 +953,39 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz } if (memory_type_index == UINT32_MAX) { - ctx->device->device.destroyBuffer(buf->buffer); + device->device.destroyBuffer(buf->buffer); buf->size = 0; throw vk::OutOfDeviceMemoryError("No suitable memory type found"); } try { - buf->device_memory = ctx->device->device.allocateMemory({ mem_req.size, memory_type_index }); + buf->device_memory = device->device.allocateMemory({ mem_req.size, memory_type_index }); } catch (const vk::SystemError& e) { // Out of Host/Device memory, clean up buffer - ctx->device->device.destroyBuffer(buf->buffer); + device->device.destroyBuffer(buf->buffer); buf->size = 0; throw e; } buf->ptr = nullptr; if (buf->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { - buf->ptr = ctx->device->device.mapMemory(buf->device_memory, 0, VK_WHOLE_SIZE); + buf->ptr = device->device.mapMemory(buf->device_memory, 0, VK_WHOLE_SIZE); } - ctx->device->device.bindBufferMemory(buf->buffer, buf->device_memory, 0); + device->device.bindBufferMemory(buf->buffer, buf->device_memory, 0); - buf->ctx = ctx; - - buf->device = ctx->device; + buf->device = device; #ifdef GGML_VULKAN_MEMORY_DEBUG - ctx->memory_logger.log_allocation(buf, size); + device->memory_logger->log_allocation(buf, size); #endif return buf; } -static vk_buffer ggml_vk_create_buffer_check(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) { +static vk_buffer ggml_vk_create_buffer_check(vk_device& device, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) { try { - return ggml_vk_create_buffer(ctx, size, req_flags, fallback_flags); + return ggml_vk_create_buffer(device, size, req_flags, fallback_flags); } catch (const vk::SystemError& e) { std::cerr << "ggml_vulkan: Memory allocation of size " << size << " failed." << std::endl; std::cerr << "ggml_vulkan: " << e.what() << std::endl; @@ -960,14 +993,14 @@ static vk_buffer ggml_vk_create_buffer_check(ggml_backend_vk_context * ctx, size } } -static vk_buffer ggml_vk_create_buffer_device(ggml_backend_vk_context * ctx, size_t size) { +static vk_buffer ggml_vk_create_buffer_device(vk_device& device, size_t size) { vk_buffer buf; try { - if (ctx->device->uma) { + if (device->uma) { // Fall back to host memory type - buf = ggml_vk_create_buffer(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); + buf = ggml_vk_create_buffer(device, size, vk::MemoryPropertyFlagBits::eDeviceLocal, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } else { - buf = ggml_vk_create_buffer(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal); + buf = ggml_vk_create_buffer(device, size, vk::MemoryPropertyFlagBits::eDeviceLocal); } } catch (const vk::SystemError& e) { std::cerr << "ggml_vulkan: Device memory allocation of size " << size << " failed." << std::endl; @@ -984,7 +1017,9 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } #ifdef GGML_VULKAN_MEMORY_DEBUG - buf->ctx->memory_logger.log_deallocation(buf); + if (buf->device != nullptr) { + buf->device->memory_logger->log_deallocation(buf); + } #endif buf.reset(); @@ -1043,10 +1078,8 @@ static bool ggml_vk_build_shader(ggml_type type) { } } -static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { - VK_LOG_DEBUG("ggml_vk_load_shaders(" << ctx->name << ")"); - - const std::shared_ptr device = ctx->device; +static void ggml_vk_load_shaders(vk_device& device) { + VK_LOG_DEBUG("ggml_vk_load_shaders(" << device->name << ")"); // mulmat std::initializer_list warptile_l = { 128, 128, 128, 16, device->subgroup_size * 2, 64, 2, 4, 4, device->subgroup_size }; @@ -1065,534 +1098,707 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) { uint32_t m_align = 64; uint32_t s_align = 32; - ctx->device->pipeline_matmul_f32 = std::make_shared(); - ctx->device->pipeline_matmul_f32_f16 = std::make_shared(); - ctx->device->pipeline_matmul_f16_f32 = std::make_shared(); - ctx->device->pipeline_matmul_f16 = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared(); + device->pipeline_matmul_f32 = std::make_shared(); + device->pipeline_matmul_f32_f16 = std::make_shared(); + device->pipeline_matmul_f16_f32 = std::make_shared(); + device->pipeline_matmul_f16 = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared(); - ctx->device->pipeline_matmul_id_f32 = std::make_shared(); - ctx->device->pipeline_matmul_id_f16_f32 = std::make_shared(); - ctx->device->pipeline_matmul_id_f16 = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared(); - ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared(); + device->pipeline_matmul_id_f32 = std::make_shared(); + device->pipeline_matmul_id_f16_f32 = std::make_shared(); + device->pipeline_matmul_id_f16 = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared(); + device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared(); if (device->fp16) { - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); } else { - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align); } // mul mat vec - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f32_f32", mul_mat_vec_f32_f32_f32_len, mul_mat_vec_f32_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f32_f32", mul_mat_vec_f16_f32_f32_len, mul_mat_vec_f16_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f32_f32", mul_mat_vec_q4_0_f32_f32_len, mul_mat_vec_q4_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f32_f32", mul_mat_vec_q4_1_f32_f32_len, mul_mat_vec_q4_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f32_f32", mul_mat_vec_f32_f32_f32_len, mul_mat_vec_f32_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f32_f32", mul_mat_vec_f16_f32_f32_len, mul_mat_vec_f16_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f32_f32", mul_mat_vec_q4_0_f32_f32_len, mul_mat_vec_q4_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f32_f32", mul_mat_vec_q4_1_f32_f32_len, mul_mat_vec_q4_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32", mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32", mul_mat_vec_f16_f16_f32_len, mul_mat_vec_f16_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f16_f32", mul_mat_vec_q4_0_f16_f32_len, mul_mat_vec_q4_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f16_f32", mul_mat_vec_q4_1_f16_f32_len, mul_mat_vec_q4_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32", mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32", mul_mat_vec_f16_f16_f32_len, mul_mat_vec_f16_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f16_f32", mul_mat_vec_q4_0_f16_f32_len, mul_mat_vec_q4_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f16_f32", mul_mat_vec_q4_1_f16_f32_len, mul_mat_vec_q4_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32", mul_mat_vec_id_f32_f32_len, mul_mat_vec_id_f32_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32", mul_mat_vec_id_f16_f32_len, mul_mat_vec_id_f16_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32", mul_mat_vec_id_f32_f32_len, mul_mat_vec_id_f32_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32", mul_mat_vec_id_f16_f32_len, mul_mat_vec_id_f16_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); // dequant shaders - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16", dequant_f32_len, dequant_f32_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16", dequant_f32_len, dequant_f32_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1); // get_rows - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32", get_rows_f32_len, get_rows_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16", get_rows_f16_len, get_rows_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32", get_rows_f32_len, get_rows_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16", get_rows_f16_len, get_rows_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32", get_rows_f16_f32_len, get_rows_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32", get_rows_f16_f32_len, get_rows_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, "mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, "mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_mul_mat_vec_p021_f16_f32, "mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_mul_mat_vec_nc_f16_f32, "mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_norm_f32, "norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rms_norm_f32, "rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_norm_f32, "norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_rms_norm_f32, "rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f32_f32, "cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f32_f16, "cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f16_f16, "cpy_f16_f16", cpy_f16_f16_len, cpy_f16_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f32, "cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f16, "cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_cpy_f16_f16, "cpy_f16_f16", cpy_f16_f16_len, cpy_f16_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_add_f32, "add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_add_f32, "add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_f32, "mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_mul_f32, "mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_div_f32, "div_f32", div_f32_len, div_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_div_f32, "div_f32", div_f32_len, div_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sqr_f32, "sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_sqr_f32, "sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_clamp_f32, "clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_clamp_f32, "clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_gelu_f32, "gelu_f32", gelu_f32_len, gelu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_silu_f32, "silu_f32", silu_f32_len, silu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_relu_f32, "relu_f32", relu_f32_len, relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_gelu_f32, "gelu_f32", gelu_f32_len, gelu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_silu_f32, "silu_f32", silu_f32_len, silu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_relu_f32, "relu_f32", relu_f32_len, relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f32, "rope_norm_f32", rope_norm_f32_len, rope_norm_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32, "rope_norm_f32", rope_norm_f32_len, rope_norm_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1); - ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sum_rows_f32, "sum_rows_f32", sum_rows_f32_len, sum_rows_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); + ggml_vk_create_pipeline(device, device->pipeline_sum_rows_f32, "sum_rows_f32", sum_rows_f32_len, sum_rows_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, { device->subgroup_size }, 1); } +static vk_device ggml_vk_get_device(size_t idx) { + VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")"); + + if (vk_instance.devices[idx] == nullptr) { + VK_LOG_DEBUG("Initializing new vk_device"); + vk_device device = std::make_shared(); + vk_instance.devices[idx] = device; + +#ifdef GGML_VULKAN_MEMORY_DEBUG + device->memory_logger = std::unique_ptr(new vk_memory_logger()); +#endif + + size_t dev_num = vk_instance.device_indices[idx]; + + std::vector physical_devices = vk_instance.instance.enumeratePhysicalDevices(); + + if (dev_num >= physical_devices.size()) { + std::cerr << "ggml_vulkan: Device with index " << dev_num << " does not exist." << std::endl; + throw std::runtime_error("Device not found"); + } + + device->physical_device = physical_devices[dev_num]; + const std::vector ext_props = device->physical_device.enumerateDeviceExtensionProperties(); + + bool maintenance4_support = false; + + // Check if maintenance4 is supported + for (const auto& properties : ext_props) { + if (strcmp("VK_KHR_maintenance4", properties.extensionName) == 0) { + maintenance4_support = true; + } + } + + vk::PhysicalDeviceProperties2 props2; + vk::PhysicalDeviceMaintenance3Properties props3; + vk::PhysicalDeviceMaintenance4Properties props4; + vk::PhysicalDeviceSubgroupProperties subgroup_props; + props2.pNext = &props3; + props3.pNext = &subgroup_props; + if (maintenance4_support) { + subgroup_props.pNext = &props4; + } + device->physical_device.getProperties2(&props2); + device->properties = props2.properties; + + const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE"); + + if (GGML_VK_FORCE_MAX_ALLOCATION_SIZE != nullptr) { + device->max_memory_allocation_size = std::stoi(GGML_VK_FORCE_MAX_ALLOCATION_SIZE); + } else if (maintenance4_support) { + device->max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize); + } else { + device->max_memory_allocation_size = props3.maxMemoryAllocationSize; + } + + device->vendor_id = device->properties.vendorID; + device->subgroup_size = subgroup_props.subgroupSize; + device->uma = device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; + + bool fp16_storage = false; + bool fp16_compute = false; + + for (const auto& properties : ext_props) { + if (strcmp("VK_KHR_16bit_storage", properties.extensionName) == 0) { + fp16_storage = true; + } else if (strcmp("VK_KHR_shader_float16_int8", properties.extensionName) == 0) { + fp16_compute = true; + } + } + + const char* GGML_VK_DISABLE_F16 = getenv("GGML_VK_DISABLE_F16"); + const bool force_disable_f16 = GGML_VK_DISABLE_F16 != nullptr; + + device->fp16 = !force_disable_f16 && fp16_storage && fp16_compute; + + std::vector queue_family_props = device->physical_device.getQueueFamilyProperties(); + + // Try to find a non-graphics compute queue and transfer-focused queues + const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); + const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); + + const float priorities[] = { 1.0f, 1.0f }; + device->single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; + + std::vector device_queue_create_infos; + if (compute_queue_family_index != transfer_queue_family_index) { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, priorities + 1}); + } else if(!device->single_queue) { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities}); + } else { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); + } + vk::DeviceCreateInfo device_create_info; + std::vector device_extensions; + vk::PhysicalDeviceFeatures device_features = device->physical_device.getFeatures(); + + VkPhysicalDeviceFeatures2 device_features2; + device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2; + device_features2.pNext = nullptr; + device_features2.features = (VkPhysicalDeviceFeatures)device_features; + + VkPhysicalDeviceVulkan11Features vk11_features; + vk11_features.pNext = nullptr; + vk11_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_1_FEATURES; + device_features2.pNext = &vk11_features; + + VkPhysicalDeviceVulkan12Features vk12_features; + vk12_features.pNext = nullptr; + vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES; + vk11_features.pNext = &vk12_features; + + vkGetPhysicalDeviceFeatures2(device->physical_device, &device_features2); + + device->fp16 = device->fp16 && vk12_features.shaderFloat16; + + if (!vk11_features.storageBuffer16BitAccess) { + std::cerr << "ggml_vulkan: device " << GGML_VK_NAME << idx << " does not support 16-bit storage." << std::endl; + throw std::runtime_error("Unsupported device"); + } + + device_extensions.push_back("VK_KHR_16bit_storage"); + +#ifdef GGML_VULKAN_VALIDATE + device_extensions.push_back("VK_KHR_shader_non_semantic_info"); +#endif + + if (device->fp16) { + device_extensions.push_back("VK_KHR_shader_float16_int8"); + } + device->name = device->properties.deviceName.data(); + + device_create_info = { + vk::DeviceCreateFlags(), + device_queue_create_infos, + {}, + device_extensions + }; + device_create_info.setPNext(&device_features2); + device->device = device->physical_device.createDevice(device_create_info); + + device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; + + // Queues + ggml_vk_create_queue(device, device->compute_queue, compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer }); + + // Shaders + ggml_vk_load_shaders(device); + + if (!device->single_queue) { + const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; + ggml_vk_create_queue(device, device->transfer_queue, transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }); + } else { + // TODO: Use pointer or reference to avoid copy + device->transfer_queue = device->compute_queue; + } + + device->buffer_type = { + /* .iface = */ ggml_backend_vk_buffer_type_interface, + /* .context = */ new ggml_backend_vk_buffer_type_context{ device->name, device }, + }; + + device->fence = device->device.createFence({}); + + device->idx = idx; + + return device; + } + + return vk_instance.devices[idx]; +} + + static void ggml_vk_print_gpu_info(size_t idx) { GGML_ASSERT(idx < vk_instance.device_indices.size()); size_t dev_num = vk_instance.device_indices[idx]; VK_LOG_DEBUG("ggml_vk_print_gpu_info(" << dev_num << ")"); - GGML_ASSERT(vk_instance.initialized); + GGML_ASSERT(vk_instance_initialized); std::vector devices = vk_instance.instance.enumeratePhysicalDevices(); @@ -1670,6 +1876,8 @@ void ggml_vk_instance_init() { } VK_LOG_DEBUG("ggml_vk_instance_init()"); + vk_instance_initialized = true; + vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector instance_extensions = vk::enumerateInstanceExtensionProperties(); @@ -1715,8 +1923,6 @@ void ggml_vk_instance_init() { } vk_instance.instance = vk::createInstance(instance_create_info); - memset(vk_instance.initialized, 0, sizeof(bool) * GGML_VK_MAX_DEVICES); - size_t num_available_devices = vk_instance.instance.enumeratePhysicalDevices().size(); // Emulate behavior of CUDA_VISIBLE_DEVICES for Vulkan @@ -1833,177 +2039,32 @@ void ggml_vk_instance_init() { for (size_t i = 0; i < vk_instance.device_indices.size(); i++) { ggml_vk_print_gpu_info(i); } - - vk_instance_initialized = true; } static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) { GGML_ASSERT(idx < vk_instance.device_indices.size()); - size_t dev_num = vk_instance.device_indices[idx]; - VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << dev_num << ")"); + VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << idx << ")"); ggml_vk_instance_init(); - std::vector devices = vk_instance.instance.enumeratePhysicalDevices(); - - if (dev_num >= devices.size()) { - std::cerr << "ggml_vulkan: Device with index " << dev_num << " does not exist." << std::endl; - throw std::runtime_error("Device not found"); - } + ctx->name = GGML_VK_NAME + std::to_string(idx); ctx->device = ggml_vk_get_device(idx); - if (!ctx->device->initialized) { - ctx->device->physical_device = devices[dev_num]; - const std::vector ext_props = ctx->device->physical_device.enumerateDeviceExtensionProperties(); - bool maintenance4_support = false; + ctx->semaphore_idx = 0; + ctx->event_idx = 0; - // Check if maintenance4 is supported - for (const auto& properties : ext_props) { - if (strcmp("VK_KHR_maintenance4", properties.extensionName) == 0) { - maintenance4_support = true; - } - } - - vk::PhysicalDeviceProperties2 props2; - vk::PhysicalDeviceMaintenance3Properties props3; - vk::PhysicalDeviceMaintenance4Properties props4; - vk::PhysicalDeviceSubgroupProperties subgroup_props; - props2.pNext = &props3; - props3.pNext = &subgroup_props; - if (maintenance4_support) { - subgroup_props.pNext = &props4; - } - ctx->device->physical_device.getProperties2(&props2); - ctx->device->properties = props2.properties; - - const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE"); - - if (GGML_VK_FORCE_MAX_ALLOCATION_SIZE != nullptr) { - ctx->device->max_memory_allocation_size = std::stoi(GGML_VK_FORCE_MAX_ALLOCATION_SIZE); - } else if (maintenance4_support) { - ctx->device->max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize); - } else { - ctx->device->max_memory_allocation_size = props3.maxMemoryAllocationSize; - } - - ctx->device->vendor_id = ctx->device->properties.vendorID; - ctx->device->subgroup_size = subgroup_props.subgroupSize; - ctx->device->uma = ctx->device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; - - bool fp16_storage = false; - bool fp16_compute = false; - - for (const auto& properties : ext_props) { - if (strcmp("VK_KHR_16bit_storage", properties.extensionName) == 0) { - fp16_storage = true; - } else if (strcmp("VK_KHR_shader_float16_int8", properties.extensionName) == 0) { - fp16_compute = true; - } - } - - const char* GGML_VK_DISABLE_F16 = getenv("GGML_VK_DISABLE_F16"); - const bool force_disable_f16 = GGML_VK_DISABLE_F16 != nullptr; - - ctx->device->fp16 = !force_disable_f16 && fp16_storage && fp16_compute; - - std::vector queue_family_props = ctx->device->physical_device.getQueueFamilyProperties(); - - // Try to find a non-graphics compute queue and transfer-focused queues - const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); - const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); - - const float priorities[] = { 1.0f, 1.0f }; - ctx->device->single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; - - std::vector device_queue_create_infos; - if (compute_queue_family_index != transfer_queue_family_index) { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, priorities + 1}); - } else if(!ctx->device->single_queue) { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities}); - } else { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); - } - vk::DeviceCreateInfo device_create_info; - std::vector device_extensions; - vk::PhysicalDeviceFeatures device_features = ctx->device->physical_device.getFeatures(); - - VkPhysicalDeviceFeatures2 device_features2; - device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2; - device_features2.pNext = nullptr; - device_features2.features = (VkPhysicalDeviceFeatures)device_features; - - VkPhysicalDeviceVulkan11Features vk11_features; - vk11_features.pNext = nullptr; - vk11_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_1_FEATURES; - device_features2.pNext = &vk11_features; - - VkPhysicalDeviceVulkan12Features vk12_features; - vk12_features.pNext = nullptr; - vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES; - vk11_features.pNext = &vk12_features; - - vkGetPhysicalDeviceFeatures2(ctx->device->physical_device, &device_features2); - - ctx->device->fp16 = ctx->device->fp16 && vk12_features.shaderFloat16; - - if (!vk11_features.storageBuffer16BitAccess) { - std::cerr << "ggml_vulkan: device " << GGML_VK_NAME << idx << " does not support 16-bit storage." << std::endl; - throw std::runtime_error("Unsupported device"); - } - - device_extensions.push_back("VK_KHR_16bit_storage"); - -#ifdef GGML_VULKAN_VALIDATE - device_extensions.push_back("VK_KHR_shader_non_semantic_info"); -#endif - - if (ctx->device->fp16) { - device_extensions.push_back("VK_KHR_shader_float16_int8"); - } - ctx->device->name = ctx->device->properties.deviceName.data(); - - device_create_info = { - vk::DeviceCreateFlags(), - device_queue_create_infos, - {}, - device_extensions - }; - device_create_info.setPNext(&device_features2); - ctx->device->device = ctx->device->physical_device.createDevice(device_create_info); - - ctx->device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; - - // Queues - ggml_vk_create_queue(ctx, ctx->device->compute_queue, compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer }); - - // Shaders - ggml_vk_load_shaders(ctx); - - if (!ctx->device->single_queue) { - const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; - ggml_vk_create_queue(ctx, ctx->device->transfer_queue, transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }); - } else { - // TODO: Use pointer or reference to avoid copy - ctx->device->transfer_queue = ctx->device->compute_queue; - } - - ctx->device->idx = dev_num; - ctx->device->initialized = true; - } else if (ctx->device->idx != dev_num) { - std::cerr << "ggml_vulkan: Device " << ctx->device->name << " already initialized with index " << ctx->device->idx << ", but trying to reinitialize with index " << dev_num << std::endl; - throw std::runtime_error("Device already initialized"); - } + ctx->prealloc_size_x = 0; + ctx->prealloc_size_y = 0; + ctx->prealloc_size_split_k = 0; ctx->fence = ctx->device->device.createFence({}); + ctx->staging_size = 0; + ctx->staging_offset = 0; + ctx->compute_ctx = nullptr; ctx->transfer_ctx = nullptr; - ctx->initialized = true; - - ctx->idx = idx; - #ifdef GGML_VULKAN_CHECK_RESULTS const char* skip_checks = getenv("GGML_VULKAN_SKIP_CHECKS"); vk_skip_checks = (skip_checks == NULL ? 0 : atoi(skip_checks)); @@ -2184,7 +2245,7 @@ static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size) ggml_vk_destroy_buffer(b); } - return ggml_vk_create_buffer_device(ctx, size); + return ggml_vk_create_buffer_device(ctx->device, size); } static void ggml_vk_pool_free(ggml_backend_vk_context * ctx, vk_buffer& buffer) { @@ -2218,37 +2279,37 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_ return buf; } -static void * ggml_vk_host_malloc(ggml_backend_vk_context * ctx, size_t size) { +static void * ggml_vk_host_malloc(vk_device& device, size_t size) { VK_LOG_MEMORY("ggml_vk_host_malloc(" << size << ")"); - vk_buffer buf = ggml_vk_create_buffer(ctx, size, + vk_buffer buf = ggml_vk_create_buffer(device, size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); if(!(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible)) { fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory\n", size/1024.0/1024.0); - ctx->device->device.freeMemory(buf->device_memory); - ctx->device->device.destroyBuffer(buf->buffer); + device->device.freeMemory(buf->device_memory); + device->device.destroyBuffer(buf->buffer); return nullptr; } - ctx->pinned_memory.push_back(std::make_tuple(buf->ptr, size, buf)); + device->pinned_memory.push_back(std::make_tuple(buf->ptr, size, buf)); return buf->ptr; } -static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) { +static void ggml_vk_host_free(vk_device& device, void* ptr) { if (ptr == nullptr) { return; } VK_LOG_MEMORY("ggml_vk_host_free(" << ptr << ")"); vk_buffer buf; size_t index; - for (size_t i = 0; i < ctx->pinned_memory.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(ctx->pinned_memory[i]); - const uint8_t* endr = addr + std::get<1>(ctx->pinned_memory[i]); + for (size_t i = 0; i < device->pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(device->pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(device->pinned_memory[i]); if (ptr >= addr && ptr < endr) { - buf = std::get<2>(ctx->pinned_memory[i]); + buf = std::get<2>(device->pinned_memory[i]); index = i; break; } @@ -2260,26 +2321,26 @@ static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) { ggml_vk_destroy_buffer(buf); - ctx->pinned_memory.erase(ctx->pinned_memory.begin() + index); + device->pinned_memory.erase(device->pinned_memory.begin() + index); } -static void ggml_vk_host_get(ggml_backend_vk_context * ctx, const void * ptr, vk_buffer& buf, size_t& buf_offset) { +static void ggml_vk_host_get(vk_device& device, const void * ptr, vk_buffer& buf, size_t& buf_offset) { buf = nullptr; buf_offset = 0; - for (size_t i = 0; i < ctx->pinned_memory.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(ctx->pinned_memory[i]); - const uint8_t* endr = addr + std::get<1>(ctx->pinned_memory[i]); + for (size_t i = 0; i < device->pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(device->pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(device->pinned_memory[i]); if (ptr >= addr && ptr < endr) { - buf = std::get<2>(ctx->pinned_memory[i]); + buf = std::get<2>(device->pinned_memory[i]); buf_offset = ((const uint8_t *)ptr) - addr; break; } } } -static vk_submission ggml_vk_begin_submission(ggml_backend_vk_context * ctx, vk_queue& q, bool one_time = true) { +static vk_submission ggml_vk_begin_submission(vk_device& device, vk_queue& q, bool one_time = true) { vk_submission s; - s.buffer = ggml_vk_create_cmd_buffer(ctx, q); + s.buffer = ggml_vk_create_cmd_buffer(device, q); if (one_time) { s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); } else { @@ -2339,13 +2400,13 @@ static void ggml_vk_ctx_end(vk_context * ctx) { ctx->s = nullptr; } -static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx) { - VK_LOG_DEBUG("ggml_vk_ctx_begin(" << ctx << ")"); +static void ggml_vk_ctx_begin(vk_device& device, vk_context * subctx) { + VK_LOG_DEBUG("ggml_vk_ctx_begin(" << device->name << ")"); if (subctx->s != nullptr) { ggml_vk_ctx_end(subctx); } - subctx->seqs.push_back({ ggml_vk_begin_submission(ctx, *subctx->q) }); + subctx->seqs.push_back({ ggml_vk_begin_submission(device, *subctx->q) }); subctx->s = subctx->seqs[subctx->seqs.size() - 1].data(); } @@ -2362,11 +2423,11 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect } } -static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, size_t size) { - if (ctx->sync_staging == nullptr || ctx->sync_staging->size < size) { +static void ggml_vk_ensure_sync_staging_buffer(vk_device& device, size_t size) { + if (device->sync_staging == nullptr || device->sync_staging->size < size) { VK_LOG_MEMORY("ggml_vk_ensure_sync_staging_buffer(" << size << ")"); - ggml_vk_destroy_buffer(ctx->sync_staging); - ctx->sync_staging = ggml_vk_create_buffer_check(ctx, size, + ggml_vk_destroy_buffer(device->sync_staging); + device->sync_staging = ggml_vk_create_buffer_check(device, size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } @@ -2383,7 +2444,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont // Check if src is pinned memory vk_buffer buf; size_t buf_offset; - ggml_vk_host_get(ctx, tensor->data, buf, buf_offset); + ggml_vk_host_get(ctx->device, tensor->data, buf, buf_offset); const uint64_t ne0 = tensor->ne[0]; const uint64_t ne1 = tensor->ne[1]; @@ -2441,9 +2502,9 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont if (ctx->staging->size < ctx->staging_offset + copy_size) { if (sync_staging) { // Create temporary larger buffer - ggml_vk_ensure_sync_staging_buffer(ctx, copy_size); + ggml_vk_ensure_sync_staging_buffer(ctx->device, copy_size); - staging = ctx->sync_staging; + staging = ctx->device->sync_staging; staging_offset = 0; } else { GGML_ASSERT(false); @@ -2477,11 +2538,8 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont } } -static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { +static void ggml_vk_buffer_write_2d_async(vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) { VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")"); - // Make sure ctx owns the buffer - GGML_ASSERT(dst->ctx == ctx); - // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl; @@ -2490,7 +2548,7 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont // Check if src is pinned memory vk_buffer buf = nullptr; size_t buf_offset; - ggml_vk_host_get(ctx, src, buf, buf_offset); + ggml_vk_host_get(dst->device, src, buf, buf_offset); if (buf != nullptr) { // Memory is pinned, use as staging buffer @@ -2516,14 +2574,12 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont VK_LOG_DEBUG("STAGING"); // Staging buffer required - vk_buffer staging = ctx->staging; - size_t staging_offset = ctx->staging_offset; const size_t copy_size = width*height; - if (ctx->staging == nullptr || ctx->staging->size < ctx->staging_offset + copy_size) { + if (staging_buffer == nullptr || staging_buffer->size < staging_offset + copy_size) { if (sync_staging) { - ggml_vk_ensure_sync_staging_buffer(ctx, copy_size); + ggml_vk_ensure_sync_staging_buffer(dst->device, copy_size); - staging = ctx->sync_staging; + staging_buffer = dst->device->sync_staging; staging_offset = 0; } else { GGML_ASSERT(false); @@ -2536,23 +2592,23 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont copy_size}; ggml_vk_sync_buffers(subctx); - vkCmdCopyBuffer(subctx->s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(subctx->s->buffer, staging_buffer->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, &subctx->in_memcpys); + deferred_memcpy((uint8_t *)staging_buffer->ptr + staging_offset, src, width * height, &subctx->in_memcpys); } else { for (size_t i = 0; i < height; i++) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys); + deferred_memcpy((uint8_t *)staging_buffer->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys); } } } -static void ggml_vk_buffer_write_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { +static void ggml_vk_buffer_write_async(vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) { VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")"); - return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, size, size, 1, sync_staging); + return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, 1, staging_buffer, staging_offset, sync_staging); } -static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) { +static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) { VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")"); // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { @@ -2562,38 +2618,38 @@ static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& ds memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { - vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, subctx); - ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, spitch, width, height, true); + vk_context * subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue); + ggml_vk_ctx_begin(dst->device, subctx); + ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, width, height, nullptr, 0, true); ggml_vk_ctx_end(subctx); for (auto& cpy : subctx->in_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(subctx, ctx->fence); - VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); - ctx->device->device.resetFences({ ctx->fence }); + ggml_vk_submit(subctx, dst->device->fence); + VK_CHECK(dst->device->device.waitForFences({ dst->device->fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); + dst->device->device.resetFences({ dst->device->fence }); + + delete subctx; } } -static void ggml_vk_buffer_write(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t size) { +static void ggml_vk_buffer_write(vk_buffer& dst, size_t offset, const void * src, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")"); - ggml_vk_buffer_write_2d(ctx, dst, offset, src, 0, size, 1); + ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1); } -static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { +static void ggml_vk_buffer_read_2d_async(vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) { VK_LOG_DEBUG("ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")"); GGML_ASSERT(width > 0); GGML_ASSERT(height > 0); GGML_ASSERT(src != nullptr); - // Make sure ctx owns the buffer - GGML_ASSERT(src->ctx == ctx); // Check if dst is pinned memory vk_buffer buf = nullptr; size_t buf_offset; - ggml_vk_host_get(ctx, dst, buf, buf_offset); + ggml_vk_host_get(src->device, dst, buf, buf_offset); std::vector slices(1); if (width == spitch && width == dpitch) { @@ -2620,55 +2676,56 @@ static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_conte VK_LOG_DEBUG("STAGING"); // Fall back to staging buffer - vk_buffer staging = ctx->staging; const size_t copy_size = dpitch * height; - if (ctx->staging == nullptr || ctx->staging->size < ctx->staging_offset + copy_size) { + if (staging_buffer == nullptr || staging_buffer->size < staging_offset + copy_size) { if (sync_staging) { // Create temporary larger buffer - ggml_vk_ensure_sync_staging_buffer(ctx, copy_size); + ggml_vk_ensure_sync_staging_buffer(src->device, copy_size); - staging = ctx->sync_staging; + staging_buffer = src->device->sync_staging; } else { GGML_ASSERT(false); } } ggml_vk_sync_buffers(subctx); - subctx->s->buffer.copyBuffer(src->buffer, staging->buffer, slices); + subctx->s->buffer.copyBuffer(src->buffer, staging_buffer->buffer, slices); - deferred_memcpy(dst, staging->ptr, copy_size, &subctx->out_memcpys); + deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys); } -static void ggml_vk_buffer_read_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t size, bool sync_staging = false) { - return ggml_vk_buffer_read_2d_async(ctx, subctx, src, offset, dst, size, size, size, 1, sync_staging); +static void ggml_vk_buffer_read_async(vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t size, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) { + return ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, size, size, size, 1, staging_buffer, staging_offset, sync_staging); } -static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, size_t offset, void * dst, size_t size) { +static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_read(" << offset << ", " << size << ")"); if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); memcpy(dst, (uint8_t *) src->ptr + offset, size); } else { - vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, subctx); - ggml_vk_buffer_read_async(ctx, subctx, src, offset, dst, size, true); + vk_context * subctx = ggml_vk_create_temporary_context(src->device->transfer_queue); + ggml_vk_ctx_begin(src->device, subctx); + ggml_vk_buffer_read_async(subctx, src, offset, dst, size, nullptr, 0, true); ggml_vk_ctx_end(subctx); - ggml_vk_submit(subctx, ctx->fence); - VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); - ctx->device->device.resetFences({ ctx->fence }); + ggml_vk_submit(subctx, src->device->fence); + VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); + src->device->device.resetFences({ src->device->fence }); for (auto& cpy : subctx->out_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } + + delete subctx; } } static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")"); - // Make sure both buffers are on same ctx - GGML_ASSERT(src->ctx == dst->ctx); + // Make sure both buffers are on same device + GGML_ASSERT(src->device == dst->device); VkBufferCopy bc{ src_offset, dst_offset, size }; @@ -2676,101 +2733,46 @@ static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t d } static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) { - if (src->ctx == dst->ctx) { - VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")"); + if (src->device == dst->device) { + VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")"); // Copy within the device - ggml_backend_vk_context * ctx = src->ctx; - - vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, subctx); + vk_context * subctx = ggml_vk_create_temporary_context(src->device->transfer_queue); + ggml_vk_ctx_begin(src->device, subctx); ggml_vk_buffer_copy_async(subctx, dst, dst_offset, src, src_offset, size); ggml_vk_ctx_end(subctx); - ggml_vk_submit(subctx, ctx->fence); - VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); - ctx->device->device.resetFences({ ctx->fence }); - } else { - VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")"); - // Copy device to device - ggml_backend_vk_context * src_ctx = src->ctx; - ggml_backend_vk_context * dst_ctx = dst->ctx; + ggml_vk_submit(subctx, src->device->fence); + VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); + src->device->device.resetFences({ src->device->fence }); - ggml_vk_ensure_sync_staging_buffer(src_ctx, size); - ggml_vk_ensure_sync_staging_buffer(dst_ctx, size); + delete subctx; + } else { + VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")"); + // Copy device to device + ggml_vk_ensure_sync_staging_buffer(src->device, size); + ggml_vk_ensure_sync_staging_buffer(dst->device, size); // Copy to src staging buffer - ggml_vk_buffer_copy(src_ctx->sync_staging, 0, src, src_offset, size); + ggml_vk_buffer_copy(src->device->sync_staging, 0, src, src_offset, size); // memcpy to dst staging buffer - memcpy(dst_ctx->sync_staging->ptr, src_ctx->sync_staging->ptr, size); + memcpy(dst->device->sync_staging->ptr, src->device->sync_staging->ptr, size); // Copy to dst buffer - ggml_vk_buffer_copy(dst, dst_offset, dst_ctx->sync_staging, 0, size); + ggml_vk_buffer_copy(dst, dst_offset, dst->device->sync_staging, 0, size); } } -static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, uint32_t c, size_t size) { +static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, size_t size) { VK_LOG_DEBUG("ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")"); - // Make sure ctx owns the buffer - GGML_ASSERT(dst->ctx == ctx); - vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, subctx); + vk_context * subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue); + ggml_vk_ctx_begin(dst->device, subctx); subctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); ggml_vk_ctx_end(subctx); - ggml_vk_submit(subctx, ctx->fence); - VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_memset waitForFences"); - ctx->device->device.resetFences({ ctx->fence }); -} + ggml_vk_submit(subctx, dst->device->fence); + VK_CHECK(dst->device->device.waitForFences({ dst->device->fence }, true, UINT64_MAX), "vk_memset waitForFences"); + dst->device->device.resetFences({ dst->device->fence }); -static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) { - VK_LOG_DEBUG("ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")"); - const uint64_t ne0 = src->ne[0]; - const uint64_t ne1 = src->ne[1]; - const uint64_t nb0 = src->nb[0]; - const uint64_t nb1 = src->nb[1]; - const uint64_t nb2 = src->nb[2]; - const uint64_t nb3 = src->nb[3]; - const enum ggml_type type = src->type; - const size_t ts = ggml_type_size(type); - const size_t bs = ggml_blck_size(type); - const size_t row_length = ts*ne0/bs; - - const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); - if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(ctx, subctx, dst, offset, x, i1*nb1); - } - if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) { - return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, x, nb1, row_length, i1); - } - - GGML_ASSERT(i3 == 0); - GGML_ASSERT(i2 == 0); - GGML_ASSERT(i1 == (uint64_t) ggml_nrows(src)); - - return ggml_vk_buffer_write_nc_async(ctx, subctx, dst, offset, src); -} - -static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, const ggml_tensor * dst) { - VK_LOG_DEBUG("ggml_vk_d2h_tensor_2d()"); - const uint64_t ne0 = dst->ne[0]; - const uint64_t ne1 = dst->ne[1]; - const uint64_t ne2 = dst->ne[2]; - const uint64_t ne3 = dst->ne[3]; - const uint64_t nb0 = dst->nb[0]; - const uint64_t nb1 = dst->nb[1]; - // const uint64_t nb2 = dst->nb[2]; - // const uint64_t nb3 = dst->nb[3]; - const enum ggml_type type = dst->type; - const size_t ts = ggml_type_size(type); - const size_t bs = ggml_blck_size(type); - const size_t row_length = ts*ne0/bs; - - if (ggml_is_contiguous(dst)) { - return ggml_vk_buffer_read_async(ctx, subctx, src, offset, dst->data, ne1*nb1*ne2*ne3); - } - if (nb0 == ts) { - return ggml_vk_buffer_read_2d_async(ctx, subctx, src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3); - } - GGML_ASSERT(false); + delete subctx; } static uint32_t ggml_vk_guess_split_k(int m, int n, int k) { @@ -2948,8 +2950,8 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su bool src1_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset); - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); src0_uma = d_Qx != nullptr; src1_uma = d_Qy != nullptr; } @@ -3041,15 +3043,15 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT // Allocate descriptor sets - ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1); if (qx_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1); } if (qy_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, 1); } if (split_k > 1) { - ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_matmul_split_k_reduce, 1); } if (x_non_contig) { @@ -3125,8 +3127,8 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context bool src1_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset); - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); src0_uma = d_Qx != nullptr; src1_uma = d_Qy != nullptr; } @@ -3201,12 +3203,12 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context // Allocate descriptor sets if (qx_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1); } if (qy_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); } - ggml_pipeline_allocate_descriptor_sets(ctx, dmmv, ne12 * ne13); + ggml_pipeline_allocate_descriptor_sets(ctx->device, dmmv, ne12 * ne13); if (x_non_contig) { GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, ctx->device->properties.limits.minStorageBufferOffsetAlignment)); @@ -3228,6 +3230,16 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context stride_batch_y = src1->nb[0] / ggml_type_size(src1->type); } + const uint32_t max_groups_x = ctx->device->properties.limits.maxComputeWorkGroupCount[0]; + + uint32_t groups_x = ne01; + uint32_t groups_z = 1; + + if (ne01 > max_groups_x) { + groups_z = 64; + groups_x /= groups_z; + } + // compute const vk_mat_vec_push_constants pc = { (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01, @@ -3235,11 +3247,13 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3, }; ggml_vk_sync_buffers(subctx); - ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} }, sizeof(vk_mat_vec_push_constants), &pc, { (uint32_t)ne01, (uint32_t)(ne12 * ne13), 1}); + ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, + { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} }, + sizeof(vk_mat_vec_push_constants), &pc, { groups_x, (uint32_t)(ne12 * ne13), groups_z }); } static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32(" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)"); GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1)); @@ -3270,7 +3284,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c bool src1_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); src1_uma = d_Qy != nullptr; } @@ -3295,7 +3309,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c } // Allocate descriptor sets - ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, 1); const uint64_t qy_buffer_offset = (qy_buf_offset / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment; const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; @@ -3344,7 +3358,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con bool src1_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); src1_uma = d_Qy != nullptr; } @@ -3370,7 +3384,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con } // Allocate descriptor sets - ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, 1); const uint64_t qy_buffer_offset = (qy_buf_offset / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment; const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; @@ -3448,9 +3462,9 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * bool ids_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset); - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); - ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset); + ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, ids->data, d_ids, ids_buf_offset); src0_uma = d_Qx != nullptr; src1_uma = d_Qy != nullptr; ids_uma = d_ids != nullptr; @@ -3545,12 +3559,12 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT // Allocate descriptor sets - ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1); if (qx_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1); } if (qy_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, 1); } if (x_non_contig) { @@ -3634,9 +3648,9 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte bool ids_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset); - ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset); - ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset); + ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset); + ggml_vk_host_get(ctx->device, ids->data, d_ids, ids_buf_offset); src0_uma = d_Qx != nullptr; src1_uma = d_Qy != nullptr; ids_uma = d_ids != nullptr; @@ -3718,12 +3732,12 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte // Allocate descriptor sets if (qx_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1); } if (qy_needs_dequant) { - ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); + ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); } - ggml_pipeline_allocate_descriptor_sets(ctx, dmmv, ne12 * ne13); + ggml_pipeline_allocate_descriptor_sets(ctx->device, dmmv, ne12 * ne13); if (x_non_contig) { GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, ctx->device->properties.limits.minStorageBufferOffsetAlignment)); @@ -3740,6 +3754,16 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte stride_batch_y = src1->nb[0] / ggml_type_size(src1->type); } + const uint32_t max_groups_x = ctx->device->properties.limits.maxComputeWorkGroupCount[0]; + + uint32_t groups_x = ne01; + uint32_t groups_z = 1; + + if (ne01 > max_groups_x) { + groups_z = 64; + groups_x /= groups_z; + } + // compute const vk_mat_vec_id_push_constants pc = { (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01, @@ -3749,7 +3773,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte ggml_vk_sync_buffers(subctx); ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23}, { d_ids, ids_buf_offset, ids_sz } }, - sizeof(vk_mat_vec_id_push_constants), &pc, { (uint32_t)ne01, (uint32_t)nei0, 1 }); + sizeof(vk_mat_vec_id_push_constants), &pc, { groups_x, (uint32_t)nei0, groups_z }); } static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) { @@ -4062,14 +4086,14 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c bool src2_uma = false; if (ctx->device->uma) { - ggml_vk_host_get(ctx, src0->data, d_X, x_buf_offset); + ggml_vk_host_get(ctx->device, src0->data, d_X, x_buf_offset); src0_uma = d_X != nullptr; if (use_src1) { - ggml_vk_host_get(ctx, src1->data, d_Y, y_buf_offset); + ggml_vk_host_get(ctx->device, src1->data, d_Y, y_buf_offset); src1_uma = d_Y != nullptr; } if (use_src2) { - ggml_vk_host_get(ctx, src2->data, d_Z, z_buf_offset); + ggml_vk_host_get(ctx->device, src2->data, d_Z, z_buf_offset); src2_uma = d_Z != nullptr; } } @@ -4129,7 +4153,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c // Single call if dimension 2 is contiguous if (op_supports_incontiguous || (ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1)))) { - ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1); + ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1); switch (dst->op) { case GGML_OP_NORM: @@ -4205,7 +4229,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c GGML_ASSERT(op != GGML_OP_ARGSORT); GGML_ASSERT(!use_src2); - ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, ne02 * ne03); + ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, ne02 * ne03); switch (dst->op) { case GGML_OP_NORM: @@ -4810,101 +4834,6 @@ static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1 } } -static void ggml_vk_test_h2d_nc(ggml_backend_vk_context * ctx, size_t ne0, size_t ne1, size_t ne2, size_t ne3) { - const size_t ne = ne0 * ne1 * ne2 * ne3; - - ggml_init_params iparams = { - /*.mem_size =*/ 1024*1024*1024, - /*.mem_buffer =*/ NULL, - /*.no_alloc =*/ true, - }; - - ggml_context * ggml_ctx = ggml_init(iparams); - - ggml_tensor * tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne2, ne1, ne3); // NOLINT - ggml_tensor * result_tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne1, ne2, ne3); - - float * data = (float *) ggml_vk_host_malloc(ctx, ggml_nbytes(tensor)); - tensor->data = data; - - float * result_data = (float *) malloc(ggml_nbytes(tensor)); - result_tensor->data = result_data; - - // Permute - { - size_t tmp = tensor->nb[2]; - tensor->nb[2] = tensor->nb[1]; - tensor->nb[1] = tmp; - - tensor->ne[2] = ne2; - tensor->ne[1] = ne1; - } - - for (size_t i = 0; i < ne; i++) { - data[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f; - } - - vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue); - ggml_vk_ctx_begin(ctx, subctx); - - vk_buffer buffer = ggml_vk_create_buffer_check(ctx, ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); - - ggml_vk_h2d_tensor_2d(ctx, subctx, buffer, 0, tensor, 0, 0, ggml_nrows(tensor)); - - ggml_vk_ctx_end(subctx); - ggml_vk_submit(subctx, ctx->fence); - VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "ggml_vk_test_h2d_nc waitForFences"); - ctx->device->device.resetFences({ ctx->fence }); - - ggml_vk_buffer_read(ctx, buffer, 0, result_data, ggml_nbytes(tensor)); - - double avg_err = 0.0; - int first_err_i0 = -1; - int first_err_i1 = -1; - int first_err_i2 = -1; - int first_err_i3 = -1; - - for (size_t i3 = 0; i3 < ne3; i3++) { - for (size_t i2 = 0; i2 < ne2; i2++) { - for (size_t i1 = 0; i1 < ne1; i1++) { - for (size_t i0 = 0; i0 < ne0; i0++) { - float correct = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); - float result = *(float *) ((char *) result_data + i3*ne2*ne1*ne0*sizeof(float) + i2*ne1*ne0*sizeof(float) + i1*ne0*sizeof(float) + i0*sizeof(float)); - double err = std::fabs(result - correct); - - avg_err += err; - - if (err > 0.05f && first_err_i0 == -1) { - first_err_i0 = i0; - first_err_i1 = i1; - first_err_i2 = i2; - first_err_i3 = i3; - } - } - } - } - } - - avg_err /= ne; - - std::cerr << "TEST nc copy ne0=" << ne0 << " ne1=" << ne1 << " ne2=" << ne2 << " ne3=" << ne3 << " avg_err=" << avg_err << std::endl; - - if (avg_err > 0.1) { - std::cerr << "i0 = " << first_err_i0 << " i1 = " << first_err_i1 << " i2 = " << first_err_i2 << " i3 = " << first_err_i3 << std::endl; - std::cerr << "Actual result: " << std::endl << std::endl; - ggml_vk_print_tensor_area(result_tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3); - std::cerr << "Expected result: " << std::endl << std::endl; - ggml_vk_print_tensor_area(tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3); - } - - ggml_free(ggml_ctx); - - ggml_vk_destroy_buffer(buffer); - - ggml_vk_host_free(ctx, data); - free(result_data); -} - static void ggml_vk_test_transfer(ggml_backend_vk_context * ctx, size_t ne, bool pinned) { VK_LOG_DEBUG("ggml_vk_test_transfer(" << ne << ")"); // Check transfers are correct @@ -5515,7 +5444,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { if (ctx->prealloc_x != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_x); } - ctx->prealloc_x = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_x); + ctx->prealloc_x = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_x); } if (ctx->prealloc_y == nullptr || (ctx->prealloc_size_y > 0 && ctx->prealloc_y->size < ctx->prealloc_size_y)) { VK_LOG_MEMORY("ggml_vk_preallocate_buffers(y_size: " << ctx->prealloc_size_y << ")"); @@ -5523,7 +5452,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { if (ctx->prealloc_y != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_y); } - ctx->prealloc_y = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_y); + ctx->prealloc_y = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_y); } if (ctx->prealloc_split_k == nullptr || (ctx->prealloc_size_split_k > 0 && ctx->prealloc_split_k->size < ctx->prealloc_size_split_k)) { VK_LOG_MEMORY("ggml_vk_preallocate_buffers(split_k_size: " << ctx->prealloc_size_split_k << ")"); @@ -5531,7 +5460,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { if (ctx->prealloc_split_k != nullptr) { ggml_vk_destroy_buffer(ctx->prealloc_split_k); } - ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_split_k); + ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_split_k); } if (ctx->staging == nullptr || (ctx->staging_size > 0 && ctx->staging->size < ctx->staging_size)) { VK_LOG_MEMORY("ggml_vk_preallocate_buffers(staging_size: " << ctx->staging_size << ")"); @@ -5539,7 +5468,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) { if (ctx->staging != nullptr) { ggml_vk_destroy_buffer(ctx->staging); } - ctx->staging = ggml_vk_create_buffer_check(ctx, ctx->staging_size, + ctx->staging = ggml_vk_create_buffer_check(ctx->device, ctx->staging_size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } @@ -5607,7 +5536,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod if (ctx->compute_ctx == nullptr) { ctx->compute_ctx = ggml_vk_create_context(ctx, ctx->device->compute_queue); - ggml_vk_ctx_begin(ctx, ctx->compute_ctx); + ggml_vk_ctx_begin(ctx->device, ctx->compute_ctx); } switch (node->op) { @@ -5825,8 +5754,8 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) { ggml_pipeline_cleanup(pl); } - ggml_vk_queue_cleanup(ctx, ctx->device->compute_queue); - ggml_vk_queue_cleanup(ctx, ctx->device->transfer_queue); + ggml_vk_queue_cleanup(ctx->device, ctx->device->compute_queue); + ggml_vk_queue_cleanup(ctx->device, ctx->device->transfer_queue); for (size_t i = 0; i < ctx->gc.semaphores.size(); i++) { ctx->device->device.destroySemaphore({ ctx->gc.semaphores[i].s }); @@ -5854,14 +5783,13 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) { // Clean up on backend free static void ggml_vk_cleanup(ggml_backend_vk_context * ctx) { - VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->idx << ")"); + VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->name << ")"); ggml_vk_graph_cleanup(ctx); ggml_vk_destroy_buffer(ctx->prealloc_x); ggml_vk_destroy_buffer(ctx->prealloc_y); ggml_vk_destroy_buffer(ctx->prealloc_split_k); ggml_vk_destroy_buffer(ctx->staging); - ggml_vk_destroy_buffer(ctx->sync_staging); for (auto& buffer : ctx->buffer_pool) { ggml_vk_destroy_buffer(buffer); @@ -5906,14 +5834,14 @@ GGML_CALL static void ggml_vk_get_device_description(int device, char * descript static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; // NOLINT struct ggml_backend_vk_buffer_context { - ggml_backend_vk_context * ctx; + vk_device_ref device; vk_buffer dev_buffer; ggml_tensor_extra_gpu * temp_tensor_extras = nullptr; size_t temp_tensor_extra_index = 0; std::string name; - ggml_backend_vk_buffer_context(ggml_backend_vk_context * ctx, vk_buffer&& dev_buffer, std::string& name) : - ctx(ctx), + ggml_backend_vk_buffer_context(vk_device_ref device, vk_buffer&& dev_buffer, std::string& name) : + device(device), dev_buffer(dev_buffer), name(name) { } @@ -5979,24 +5907,24 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); - ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; vk_buffer buf = extra->buffer_gpu.lock(); - ggml_vk_buffer_write(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size); + ggml_vk_buffer_write(buf, extra->offset + tensor->view_offs + offset, data, size); + + GGML_UNUSED(buffer); } GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")"); - ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; vk_buffer buf = extra->buffer_gpu.lock(); - ggml_vk_buffer_read(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size); + ggml_vk_buffer_read(buf, extra->offset + tensor->view_offs + offset, data, size); + + GGML_UNUSED(buffer); } GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { @@ -6019,7 +5947,7 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu GGML_CALL static void ggml_backend_vk_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - ggml_vk_buffer_memset(ctx->ctx, ctx->dev_buffer, 0, value, buffer->size); + ggml_vk_buffer_memset(ctx->dev_buffer, 0, value, buffer->size); } static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { @@ -6035,11 +5963,6 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { }; // vk buffer type -struct ggml_backend_vk_buffer_type_context { - std::string name; - ggml_backend_vk_context * ctx; -}; - GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buffer_type_t buft) { ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *)buft->context; @@ -6052,24 +5975,24 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer( vk_buffer dev_buffer = nullptr; try { - dev_buffer = ggml_vk_create_buffer_device(ctx->ctx, size); + dev_buffer = ggml_vk_create_buffer_device(ctx->device, size); } catch (const vk::SystemError& e) { return nullptr; } - ggml_backend_vk_buffer_context * bufctx = new ggml_backend_vk_buffer_context(ctx->ctx, std::move(dev_buffer), ctx->name); + ggml_backend_vk_buffer_context * bufctx = new ggml_backend_vk_buffer_context(ctx->device, std::move(dev_buffer), ctx->name); return ggml_backend_buffer_init(buft, ggml_backend_vk_buffer_interface, bufctx, size); } GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context; - return ctx->ctx->device->properties.limits.minStorageBufferOffsetAlignment; + return ctx->device->properties.limits.minStorageBufferOffsetAlignment; } GGML_CALL static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context; - return ctx->ctx->device->max_memory_allocation_size; + return ctx->device->max_memory_allocation_size; } GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) { @@ -6078,25 +6001,14 @@ GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_ UNUSED(buft); } -static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = { - /* .get_name = */ ggml_backend_vk_buffer_type_name, - /* .alloc_buffer = */ ggml_backend_vk_buffer_type_alloc_buffer, - /* .get_alignment = */ ggml_backend_vk_buffer_type_get_alignment, - /* .get_max_size = */ ggml_backend_vk_buffer_type_get_max_size, - /* .get_alloc_size = */ ggml_backend_vk_buffer_type_get_alloc_size, - /* .is_host = */ NULL, -}; - GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num) { ggml_vk_instance_init(); VK_LOG_DEBUG("ggml_backend_vk_buffer_type(" << dev_num << ")"); - GGML_ASSERT(dev_num < vk_instance.device_indices.size()); + vk_device dev = ggml_vk_get_device(dev_num); - ggml_backend_vk_init(dev_num); - - return &vk_instance.buffer_types[dev_num]; + return &dev->buffer_type; } // host buffer type @@ -6115,15 +6027,16 @@ GGML_CALL static const char * ggml_backend_vk_host_buffer_name(ggml_backend_buff GGML_CALL static void ggml_backend_vk_host_buffer_free_buffer(ggml_backend_buffer_t buffer) { VK_LOG_MEMORY("ggml_backend_vk_host_buffer_free_buffer()"); - ggml_vk_host_free(&vk_instance.contexts[0], buffer->context); + ggml_vk_host_free(vk_instance.devices[0], buffer->context); } GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { VK_LOG_MEMORY("ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")"); + size += 32; // Behave like the CPU buffer type void * ptr = nullptr; try { - ptr = ggml_vk_host_malloc(&vk_instance.contexts[0], size); + ptr = ggml_vk_host_malloc(vk_instance.devices[0], size); } catch (vk::SystemError& e) { std::cerr << "ggml_vulkan: Failed to allocate pinned memory." << std::endl; std::cerr << "ggml_vulkan: " << e.what() << std::endl; @@ -6137,14 +6050,18 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_bu buffer->iface.free_buffer = ggml_backend_vk_host_buffer_free_buffer; return buffer; -} - -GGML_CALL static size_t ggml_backend_vk_host_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { - return vk_instance.contexts[0].device->properties.limits.minMemoryMapAlignment; UNUSED(buft); } +GGML_CALL static size_t ggml_backend_vk_host_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) { + return vk_instance.devices[0]->properties.limits.minMemoryMapAlignment; + + UNUSED(buft); +} + +// Should be changed to return device-specific host buffer type +// but that probably requires changes in llama.cpp GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() { static struct ggml_backend_buffer_type ggml_backend_vk_buffer_type_host = { /* .iface = */ { @@ -6158,14 +6075,14 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() { /* .context = */ nullptr, }; - if (!vk_instance.contexts[0].initialized) { - // Fall back to CPU - return ggml_backend_cpu_buffer_type(); - } + // Make sure device 0 is initialized + ggml_vk_instance_init(); + ggml_vk_get_device(0); return &ggml_backend_vk_buffer_type_host; } + // backend GGML_CALL static const char * ggml_backend_vk_name(ggml_backend_t backend) { @@ -6178,74 +6095,65 @@ GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend) { ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; VK_LOG_DEBUG("ggml_backend_vk_free(" << ctx->name << ")"); - size_t idx = ctx->idx; - ggml_vk_cleanup(ctx); - ctx->device.reset(); - ctx->initialized = false; - - vk_instance.initialized[idx] = false; - vk_instance.backends[idx] = nullptr; - memset(&vk_instance.buffer_types[idx], 0, sizeof(ggml_backend_buffer_type)); + delete ctx; delete backend; } GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_type(ggml_backend_t backend) { ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; - GGML_ASSERT(ctx->initialized); - - return ggml_backend_vk_buffer_type(ctx->idx); + return &ctx->device->buffer_type; } GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; - GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; if (ctx->transfer_ctx == nullptr) { // Initialize new transfer context ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, ctx->transfer_ctx); + ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx); } vk_buffer buf = extra->buffer_gpu.lock(); - ggml_vk_buffer_write_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size); + ggml_vk_buffer_write_async(ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size, ctx->staging, ctx->staging_offset); } GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; - GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); + GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type"); ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; if (ctx->transfer_ctx == nullptr) { // Initialize new transfer context ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, ctx->transfer_ctx); + ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx); } vk_buffer buf = extra->buffer_gpu.lock(); - ggml_vk_buffer_read_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size); + ggml_vk_buffer_read_async(ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size, ctx->staging, ctx->staging_offset); } GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) { VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()"); ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; - if ((dst->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) { + if ((dst->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) { ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; if (ctx->transfer_ctx == nullptr) { // Initialize new transfer context ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue); - ggml_vk_ctx_begin(ctx, ctx->transfer_ctx); + ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx); } vk_buffer src_buf = src_extra->buffer_gpu.lock(); @@ -6464,7 +6372,7 @@ GGML_CALL static bool ggml_backend_vk_supports_buft(ggml_backend_t backend, ggml ggml_backend_vk_buffer_type_context * buft_ctx = (ggml_backend_vk_buffer_type_context *)buft->context; ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context; - return buft_ctx->ctx->idx == ctx->idx; + return buft_ctx->device == ctx->device; } // TODO: enable async and synchronize @@ -6497,28 +6405,17 @@ static ggml_guid_t ggml_backend_vk_guid() { } GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num) { - if (vk_instance.initialized[dev_num]) { - return vk_instance.backends[dev_num]; - } VK_LOG_DEBUG("ggml_backend_vk_init(" << dev_num << ")"); - ggml_backend_vk_context * ctx = &vk_instance.contexts[dev_num]; + ggml_backend_vk_context * ctx = new ggml_backend_vk_context; ggml_vk_init(ctx, dev_num); - ctx->name = GGML_VK_NAME + std::to_string(dev_num); - vk_instance.buffer_types[dev_num] = { - /* .iface = */ ggml_backend_vk_buffer_type_interface, - /* .context = */ new ggml_backend_vk_buffer_type_context{ ctx->name, ctx }, - }; - vk_instance.initialized[dev_num] = true; ggml_backend_t vk_backend = new ggml_backend { /* .guid = */ ggml_backend_vk_guid(), /* .interface = */ ggml_backend_vk_interface, - /* .context = */ &vk_instance.contexts[ctx->idx], + /* .context = */ ctx, }; - vk_instance.backends[dev_num] = vk_backend; - return vk_backend; } diff --git a/vulkan-shaders/mul_mat_vec.comp b/vulkan-shaders/mul_mat_vec.comp index 292ccfd74..15d2a8063 100644 --- a/vulkan-shaders/mul_mat_vec.comp +++ b/vulkan-shaders/mul_mat_vec.comp @@ -13,7 +13,7 @@ layout (constant_id = 0) const uint BLOCK_SIZE = 32; shared FLOAT_TYPE tmp[BLOCK_SIZE]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; const uint tid = gl_LocalInvocationID.x; uint a_offset, b_offset, d_offset; diff --git a/vulkan-shaders/mul_mat_vec_q2_k.comp b/vulkan-shaders/mul_mat_vec_q2_k.comp index 27bf6d51c..4cd97799d 100644 --- a/vulkan-shaders/mul_mat_vec_q2_k.comp +++ b/vulkan-shaders/mul_mat_vec_q2_k.comp @@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE tmp[32]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; uint a_offset, b_offset, d_offset; get_offsets(a_offset, b_offset, d_offset); diff --git a/vulkan-shaders/mul_mat_vec_q3_k.comp b/vulkan-shaders/mul_mat_vec_q3_k.comp index 7c837fef2..a6e430ea0 100644 --- a/vulkan-shaders/mul_mat_vec_q3_k.comp +++ b/vulkan-shaders/mul_mat_vec_q3_k.comp @@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE tmp[32]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; uint a_offset, b_offset, d_offset; get_offsets(a_offset, b_offset, d_offset); diff --git a/vulkan-shaders/mul_mat_vec_q4_k.comp b/vulkan-shaders/mul_mat_vec_q4_k.comp index 1566f26d3..75569363c 100644 --- a/vulkan-shaders/mul_mat_vec_q4_k.comp +++ b/vulkan-shaders/mul_mat_vec_q4_k.comp @@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE tmp[32]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; uint a_offset, b_offset, d_offset; get_offsets(a_offset, b_offset, d_offset); diff --git a/vulkan-shaders/mul_mat_vec_q5_k.comp b/vulkan-shaders/mul_mat_vec_q5_k.comp index 4add64327..9be3645bd 100644 --- a/vulkan-shaders/mul_mat_vec_q5_k.comp +++ b/vulkan-shaders/mul_mat_vec_q5_k.comp @@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE tmp[32]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; uint a_offset, b_offset, d_offset; get_offsets(a_offset, b_offset, d_offset); diff --git a/vulkan-shaders/mul_mat_vec_q6_k.comp b/vulkan-shaders/mul_mat_vec_q6_k.comp index 8c550e7c3..d610cf030 100644 --- a/vulkan-shaders/mul_mat_vec_q6_k.comp +++ b/vulkan-shaders/mul_mat_vec_q6_k.comp @@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE tmp[32]; void main() { - const uint row = gl_WorkGroupID.x; + const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z; uint a_offset, b_offset, d_offset; get_offsets(a_offset, b_offset, d_offset); From b6b9a8e606da7764bd3649c2ea574979c85abd43 Mon Sep 17 00:00:00 2001 From: slaren Date: Sun, 23 Jun 2024 13:14:45 +0200 Subject: [PATCH 52/59] fix CI failures (#8066) * test-backend-ops : increase cpy max nmse * server ci : disable thread sanitizer --- .github/workflows/server.yml | 2 +- tests/test-backend-ops.cpp | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index 6155e9415..311abf02a 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -30,7 +30,7 @@ jobs: strategy: matrix: - sanitizer: [ADDRESS, THREAD, UNDEFINED] + sanitizer: [ADDRESS, UNDEFINED] # THREAD is broken build_type: [RelWithDebInfo] include: - build_type: Release diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 7c504e937..1ed74e543 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -785,6 +785,10 @@ struct test_cpy : public test_case { return VARS_TO_STR3(type_src, type_dst, ne); } + double max_nmse_err() override { + return 1e-6; + } + size_t op_size(ggml_tensor * t) override { return ggml_nbytes(t) + ggml_nbytes(t->src[0]); } From 11318d9aa1f668aa10407a5cb9614371af32f3ce Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 23 Jun 2024 15:39:45 +0200 Subject: [PATCH 53/59] Fix typo in llama_set_embeddings comment (#8077) --- llama.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama.h b/llama.h index 05d8b092b..53e06d9db 100644 --- a/llama.h +++ b/llama.h @@ -786,7 +786,7 @@ extern "C" { // Get the number of threads used for prompt and batch processing (multiple token). LLAMA_API uint32_t llama_n_threads_batch(struct llama_context * ctx); - // Set whether the model is in embeddings model or not + // Set whether the model is in embeddings mode or not // If true, embeddings will be returned but logits will not LLAMA_API void llama_set_embeddings(struct llama_context * ctx, bool embeddings); From 6a2f298bd784403c5c33eebb822217ec5d9b5590 Mon Sep 17 00:00:00 2001 From: Aarni Koskela Date: Sun, 23 Jun 2024 18:03:08 +0300 Subject: [PATCH 54/59] server : fix JSON-Scheme typo (#7975) --- examples/server/public/index-new.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/server/public/index-new.html b/examples/server/public/index-new.html index 19c9f643d..5513e9121 100644 --- a/examples/server/public/index-new.html +++ b/examples/server/public/index-new.html @@ -634,12 +634,12 @@ return html`
-