diff --git a/.editorconfig b/.editorconfig index 16d16b3b5..bd525e13f 100644 --- a/.editorconfig +++ b/.editorconfig @@ -26,3 +26,6 @@ indent_size = 2 [examples/llama.swiftui/llama.swiftui.xcodeproj/*] indent_style = tab + +[examples/cvector-generator/*.txt] +insert_final_newline = unset 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 diff --git a/CMakeLists.txt b/CMakeLists.txt index 08481334f..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() @@ -684,7 +689,8 @@ if (LLAMA_SYCL) endif() set(GGML_HEADERS_SYCL ggml-sycl.h) - set(GGML_SOURCES_SYCL ggml-sycl.cpp) + file(GLOB GGML_SOURCES_SYCL "ggml-sycl/*.cpp") + 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) diff --git a/Makefile b/Makefile index 744fe5739..f94ee3933 100644 --- a/Makefile +++ b/Makefile @@ -38,6 +38,7 @@ BUILD_TARGETS = \ llama-tokenize \ llama-train-text-from-scratch \ llama-vdot \ + llama-cvector-generator \ tests/test-c.o # Binaries only useful for tests @@ -607,6 +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 @@ -922,6 +927,10 @@ llama-eval-callback: examples/eval-callback/eval-callback.cpp ggml.o llama.o $(C $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) +llama-cvector-generator: examples/cvector-generator/cvector-generator.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS) + $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) + $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) + llama-train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS) $(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<) $(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) 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. diff --git a/README.md b/README.md index 6c24135d6..54859946d 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) @@ -386,6 +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. diff --git a/common/common.cpp b/common/common.cpp index 1591790e6..73ff0e85b 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1576,6 +1576,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa return true; } params.out_file = argv[i]; + params.cvector_outfile = argv[i]; return true; } if (arg == "-ofreq" || arg == "--output-frequency") { @@ -1610,6 +1611,55 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa params.i_chunk = std::stoi(argv[i]); return true; } + // cvector params + if (arg == "--completions-file") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.cvector_completions_file = argv[i]; + return true; + } + if (arg == "--positive-file") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.cvector_positive_file = argv[i]; + return true; + } + if (arg == "--negative-file") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.cvector_negative_file = argv[i]; + return true; + } + if (arg == "--completions") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.n_completions = std::stoi(argv[i]); + return true; + } + if (arg == "--pca-batch") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.n_pca_batch = std::stoi(argv[i]); + return true; + } + if (arg == "--pca-iter") { + if (++i >= argc) { + invalid_param = true; + return true; + } + params.n_pca_iterations = std::stoi(argv[i]); + return true; + } #ifndef LOG_DISABLE_LOGS // Parse args for logging parameters if (log_param_single_parse(argv[i])) { @@ -1931,6 +1981,16 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param options.push_back({ "logging", " --log-append", "Don't truncate the old log file." }); #endif // LOG_DISABLE_LOGS + options.push_back({ "cvector" }); + options.push_back({ "cvector", "-o, --output FNAME", "output file (default: '%s')", params.cvector_outfile.c_str() }); + options.push_back({ "cvector", " --positive-file FNAME", "positive prompts file, one prompt per line (default: '%s')", params.cvector_positive_file.c_str() }); + options.push_back({ "cvector", " --negative-file FNAME", "negative prompts file, one prompt per line (default: '%s')", params.cvector_negative_file.c_str() }); + 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 }); + printf("usage: %s [options]\n", argv[0]); for (const auto & o : options) { diff --git a/common/common.h b/common/common.h index 2345d855e..58ed72f43 100644 --- a/common/common.h +++ b/common/common.h @@ -232,6 +232,15 @@ struct gpt_params { bool process_output = false; // collect data for the output tensor bool compute_ppl = true; // whether to compute perplexity + + // cvector-generator params + int n_completions = 64; + int n_pca_batch = 20; + int n_pca_iterations = 1000; + std::string cvector_outfile = "control_vector.gguf"; + std::string cvector_completions_file = "examples/cvector-generator/completions.txt"; + std::string cvector_positive_file = "examples/cvector-generator/positive.txt"; + std::string cvector_negative_file = "examples/cvector-generator/negative.txt"; }; void gpt_params_handle_model_default(gpt_params & params); diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index d6ce35f4c..0b51c44c0 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -12,6 +12,7 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR}) if (EMSCRIPTEN) else() + add_subdirectory(cvector-generator) add_subdirectory(baby-llama) add_subdirectory(batched-bench) add_subdirectory(batched) diff --git a/examples/cvector-generator/CMakeLists.txt b/examples/cvector-generator/CMakeLists.txt new file mode 100644 index 000000000..0a559d60c --- /dev/null +++ b/examples/cvector-generator/CMakeLists.txt @@ -0,0 +1,5 @@ +set(TARGET llama-cvector-generator) +add_executable(${TARGET} cvector-generator.cpp pca.hpp) +install(TARGETS ${TARGET} RUNTIME) +target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) +target_compile_features(${TARGET} PRIVATE cxx_std_11) diff --git a/examples/cvector-generator/README.md b/examples/cvector-generator/README.md new file mode 100644 index 000000000..7b0e79c1f --- /dev/null +++ b/examples/cvector-generator/README.md @@ -0,0 +1,34 @@ +# cvector-generator + +This example demonstrates how to generate a control vector using gguf models. + +Related PRs: +- [Add support for control vectors](https://github.com/ggerganov/llama.cpp/pull/5970) +- (Issue) [Generate control vector using llama.cpp](https://github.com/ggerganov/llama.cpp/issues/6880) +- [Add cvector-generator example](https://github.com/ggerganov/llama.cpp/pull/7514) + +## Examples + +```sh +# CPU only +./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf + +# With GPU +./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 + +# To see help message +./cvector-generator -h +# Then, have a look at "cvector" section +``` + +## Tips and tricks + +If you have multiple lines per prompt, you can escape the newline character (change it to `\n`). For example: + +``` +<|im_start|>system\nAct like a person who is extremely happy.<|im_end|> +<|im_start|>system\nYou are in a very good mood today<|im_end|> +``` diff --git a/examples/cvector-generator/completions.txt b/examples/cvector-generator/completions.txt new file mode 100644 index 000000000..abc45ffd8 --- /dev/null +++ b/examples/cvector-generator/completions.txt @@ -0,0 +1,582 @@ + +That game +I can see +Hmm, this +I can relate to +Who is +I understand the +Ugh, +What the hell was +Hey, did anyone +Although +Thank you for choosing +What are you +Oh w +How dare you open +It was my pleasure +I'm hon +I appreciate that you +Are you k +Whoever left this +It's always +Ew, +Hey, I l +Hello? Is someone +I understand that +That poem +Aww, poor +Hey, it +Alright, who +I didn't +Well, life +The document +Oh no, this +I'm concerned +Hello, this is +This art +Hmm, this drink +Hi there! +It seems +Is +Good +I can't +Ex +Who are +I can see that +Wow, +Today is a +Hey friend +Sometimes friends +Oh, this old +The weather outside +This place is sur +I appreciate your input +Thank you for the +Look at +I'm disappoint +To my +How dare you +That's an +This piece of art +Eww +This park is +This is incredible +Oh no, someone +Exc +Well, it' +I warned +Hey, I understand +Hey, I saw +How dare you go +What the he +Hey +It's +Hello? Hello? +It +Oh no! +This is the perfect +Good morning, +Oh no, there +It's so +Yeah +Uh, +Hello everyone +Who turned off +The weather +Who' +Hey, this +Wait, +Eww, gross +Excuse +It seems like you +Thank you so +What happened? +Oh my g +I am deeply sad +I war +Okay, let' +Hey, that +That was a beautiful +Oh no! That +What happened +Hey there +The artist' +What?! +Hey, it' +I am disappoint +It seems like +Oh no! The +This park is a +If you +Yes! I did +It sounds +What +Who is it +Hmm, that +That's strange +Yeah, that was +That's interesting +This park +What the hell +Who is that +I feel like my +Oh well +What the hell is +Hello? Hello +To my dearest +Bless you!\" +Thank you for +Oh, looks like +Can you please +This place is +Eww, what +Bless you +Is everything +Hey, I just +Whoever left these +Well, that' +I feel +Hey, do you +It's sad +Oh no, it +Hey, that' +Oh my god, +Thank you, +Hello little one, +I apolog +Hey team, I +How dare you read +Who is this and +Whoever left +Hi there! W +A +If you have +I was +U +Bless +Well, this +Oh, I' +It's a +Eww, +Is everything okay? +Oh, I +Hello, can you +Al +That was a great +What are +I understand that not +Oh no, not +Who is it?\" +Hey, can we +Whoever is taking +I would love to +Hey, I noticed +Hey, could +I understand that there +Hello? +D +Oh man, I +Thank you so much +Oh no, my +Dear [Name +Uh +I remember +Hey, who +Well, it +Are you +I understand that it +Hey, is +I would +Who is this +Excuse me +Alright +I am thrilled +Sometimes friends have +Who the +It's interesting +I would love +E +Hello? Is anyone +Well, this is +This place +Well, +I warned you +Hey, watch where +Oh my +That' +Sometimes friends have different +I understand that everyone +What? +What do these notes +I can relate +I'm not +I understand +To my dear +Guys +Well +Hey, I appreciate +Wow, what +Dear +That melody +Who the hell +Today is +Hello little +Wow, look +That's great +Love is never wrong +I'm having +Whoa, did +Ugh +Can you please provide +I miss you, +I feel uncom +I know +Ugh, this +Hey, watch +Oh great, a +I didn +Okay +That game of char +Oh +I appreciate +Who's there +I am so +Oh great, someone +Hey, could you +I remember wondering +Wait, what? +What do +Hello? Can +Hey there, +That game of +This is incred +Oh my gosh +Oh great, f +I appreciate your +It sounds like +What the heck +Okay, I understand +Ew +I understand that this +Uh, hi +Hi everyone! +What the hell? +Thank you for your +Oh no, the +Wow, I +Who turned +Dear [ +Whoever +This is a +Whoa, he +What in the world +Although the physical +Hello, who is +That's amaz +Hey, I know +Okay, that +Hi everyone +Hey, is everything +I understand your fr +Oh no, poor +Oh, look +Good morning +Ew, gross +Oh no, did +Look at the family +Hey team +Yes! +Hey, can I +Okay, that' +It's great +Love is +Hey, what +Good morning, world +Who is it? +That poem really reson +I +That's +I understand the task +Gu +Hello? Who' +This postcard is +Whoa, +Oh, that +I understand that I +Whoever is +Hello? Who is +I'm really +Wow, this +Can +This artwork really +This is a shame +I miss you too +Who are you? +Today is a difficult +Hey, just +Are you okay +I am +Hi, +Wow, that +Hey there! Can +Okay, stay +Oh great, just +Yeah, +Hello? Can you +Oh, looks +Thank you for sharing +I'm glad +Hey, is that +Hmm +It was my +It sounds like you +Wow, your +I was promised certain +That was such a +Thank +Excuse you +That was +Hey team, +I feel un +It was +What' +Hey friend, I +How +Saying goodbye +That +It's heart +How dare +Oh, +Hello, may +What's this +Thank you for recogn +Aww, that +Oh, I remember +Hmm, that' +I miss +I know this +Wait +Is everything okay +Who is that person +Wow, you +Oh great +I'm sad +Wow, the +I am very disappoint +Who turned off the +I understand that things +I'm very +Hi +That's very +Okay, I +Oh no, +Wow, there +What's wrong +I apologize for +Hey, I +Can I help you +Oh, I didn +Alright, +Oh wow, +Oh my goodness +I know this event +What in the +Saying +Yeah, that +Guys, I +Hey, this v +This post +Are +Hey, can +Hello? Is +I can only imagine +Oh, that sounds +Hey, is anyone +I am disappointed +Hello, +Hey everyone, I +That was such +It's okay +The artist +Whoa +I understand that mistakes +Can I help +Who +Hi everyone! I +Hey, can you +Wow, how +Today +Oh no, I +Oh well, I +Well, that +This is the +Yes! I finally +Hey there little +Hello everyone! +Love is never +Look at the +This postcard +Oh great, +Can I +Hmm, this is +I understand your +Oh, look at +B +I'm so +Whoa, this +W +Oh, this +Sometimes +This piece of +What the +That was a +Hey, do +Oh no +Whoa, what +I feel like I +The documentary +Hello +Hello little one +I understand that my +Eww, that +Wow, an +Yes! Finally, +Although the physical location +Whoever is watching +That movie +I remember wondering about +Hey there, little +Who's +Hello, who +Hello everyone! Thank +Hello, can +That's too +Hey, just wanted +Hey there, I +Saying good +Hey there! +Who is there? +Oh my good +I am very +Oh no, what +Wow, thank +I was promised +Hi, is +Hey, I' +Guys, the +Oh no, that +Who is there +Hello, this +That movie really touched +If you have something +The documentary was +I'm starting +Are you kidd +That movie really +Hey everyone, +Thank you for considering +I didn' +Yes! I +Can you +Oh my god +Hey, whoever +That melody really +Thank you, little +Hello, may I +Look +Wow, we +It looks +What do these +Oh wow +I apologize +What are you all +It's such +It's clear +Hey, I was +Hey friend, +I can only +The weather outside is +Eww, this +I miss you +Wow +Aww, +Hi, is there +This artwork +Okay, +Oh well, +This +I' +Say +Hey there little gu +Hmm, +Whoa, who +I am thr +Oh man +Okay, stay calm +I'm happy +Oh, this cur +Oh man, +I'm sorry +Hello? Who +What?! That +This piece +Hey everyone +That's so +Are you okay? +What happened? Where +Hi there +The +Who the hell entered +I can +Guys, +What's +What in +It's important +I'm +I'm coming +It' +Yes! Finally +Wait, what +Wow, reading +I'm surprised +Hey, did +Hey, +Okay, let +I understand that you +Who the hell threw +Eww, who +Thank you for thinking +Who is this?\" +I am deeply +Thank you for including +Oh no, an +It looks like you +Aww +I'm confused +Wow, it +That poem really +Yes +Hey there, is +Hey, what' +Thank you for remember +To +This is +Thank you for making +I can' +That mel +Wow, they +I feel like +Although the +Who are you +Love +If +What the hell are +I am so sad +Oh, I found +Thank you +It looks like +Well, life is +I appreciate that +The artist's +Whoa, that +It's never \ No newline at end of file diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp new file mode 100644 index 000000000..9941683db --- /dev/null +++ b/examples/cvector-generator/cvector-generator.cpp @@ -0,0 +1,499 @@ +#include "common.h" +#include "llama.h" +#include "ggml.h" +#include "pca.hpp" + +#ifdef GGML_USE_CUDA +#include "ggml-cuda.h" +#endif + +#ifdef GGML_USE_METAL +#include "ggml-metal.h" +#endif + +#include +#include +#include +#include +#include +#include +#include +#include + + +////////////////////////////////////////////////// +// utils + +template +static std::string tokens_to_str(llama_context * ctx, Iter begin, Iter end) { + std::string ret; + for (; begin != end; ++begin) { + ret += llama_token_to_piece(ctx, *begin); + } + + return ret; +} + +static void print_usage(int argc, char ** argv, const gpt_params & params) { + gpt_params_print_usage(argc, argv, 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"); +} + +////////////////////////////////////////////////// + + +// cb_eval is reused for each pair of positive - negative prompt +struct callback_data { + ggml_context * ctx_ggml = nullptr; // holds v_pos, v_neg, v_diff_filtered + + int n_layers = 0; + int n_tokens = 0; + bool is_eval_pos = true; + + // each element of the vector correspond to one layer + std::vector v_pos; // vector of matrices of size [n_embd, n_tokens] + std::vector v_neg; // vector of matrices of size [n_embd, n_tokens] + std::vector v_diff_filtered; // vector of matrices of size [n_embd, n_nonzero_rows]. NOTE: n_nonzero_rows maybe different for each layer + + // save a tensor into either v_pos or v_neg (decided by is_eval_pos) + void save_tensor_for_layer(struct ggml_tensor * t) { + GGML_ASSERT(t->type == GGML_TYPE_F32); + + if (ctx_ggml == nullptr) { + // alloc a new ctx_ggml if needed + struct ggml_init_params params_ggml = { + /*.mem_size =*/ ggml_tensor_overhead() * n_layers * 3u, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ctx_ggml = ggml_init(params_ggml); + } + + // copy tensor data + auto n_bytes = ggml_nbytes(t); + struct ggml_tensor * t_layer = ggml_new_tensor_2d(ctx_ggml, t->type, t->ne[0], t->ne[1]); + t_layer->data = malloc(n_bytes); // TODO @ngxson : get rid of this malloc somehow + ggml_backend_tensor_get(t, t_layer->data, 0, n_bytes); + ggml_set_name(t_layer, ggml_get_name(t)); + //print_debug_tensor(t_layer); + + if (is_eval_pos) { + v_pos.push_back(t_layer); + } else { + v_neg.push_back(t_layer); + } + } + + // calculate diff (v_pos - v_neg) and place the result back to v_pos + // all zero rows in the diff tensor will also be removed + // NOTE: final layer is ignored. we only have (n_layers - 1) to process + std::vector calc_diff() { + for (float il = 0; il < v_pos.size(); il++) { + float * a = (float *) v_pos[il]->data; + float * b = (float *) v_neg[il]->data; + size_t n_elem = ggml_nelements(v_pos[il]); + for (size_t j = 0; j < n_elem; j++) { + a[j] -= b[j]; + } + //print_debug_tensor(v_pos[i]); + auto diff_filtered = filter_nonzero_rows(v_pos[il]); + v_diff_filtered.push_back(diff_filtered); + } + return v_diff_filtered; // for convinient, we return the result std::vector + } + + // delete zero rows from a given 2D tensor + struct ggml_tensor * filter_nonzero_rows(struct ggml_tensor * a) { + //printf("filter_nonzero_rows\n"); + auto is_row_all_zeros = [](struct ggml_tensor * t, int row, float eps) -> bool { + // check if given row containing all zero elements + int n_cols = t->ne[0]; // hint: should be equal to n_embd + for (int col = 0; col < n_cols; ++col) { + if (ggml_get_f32_nd(t, col, row, 0, 0) > eps) { + return false; + } + } + return true; + }; + std::vector rows_to_copy; // the idx of non-zero cols (to be copied to row of diff_filtered) + for (int i_row = 0; i_row < a->ne[1]; i_row++) { + if (!is_row_all_zeros(a, i_row, 1e-6)) { + rows_to_copy.push_back(i_row); + } + } + + // get "n_nonzero_rows" for the output "diff_filtered" + int n_nonzero_rows = rows_to_copy.size(); + //printf("n_nonzero_rows: %d\n", n_nonzero_rows); + int n_embd = a->ne[0]; + GGML_ASSERT(n_nonzero_rows > 0); + + // diff_filtered: [n_embd, n_nonzero_rows] + struct ggml_tensor * diff_filtered = ggml_new_tensor_2d( + ctx_ggml, GGML_TYPE_F32, n_embd, n_nonzero_rows); + ggml_format_name(diff_filtered, "diff_filtered_%s", a->name); + diff_filtered->data = malloc(ggml_nbytes(diff_filtered)); + + // copy non-zero rows + for (int dest_row = 0; dest_row < n_nonzero_rows; dest_row++) { + int src_row = rows_to_copy[dest_row]; + for (int i = 0; i < n_embd; i++) { + float src_elem = ggml_get_f32_nd(a, i, src_row, 0, 0); + ggml_set_f32_nd(diff_filtered, i, dest_row, 0, 0, src_elem); + } + } + + //print_debug_tensor(diff_filtered); + + return diff_filtered; + } + + // we don't implement destructor, because we want to reuse callback_data. we just want to free the tensors + void reset() { + for (auto ptr : v_pos) free(ptr->data); + for (auto ptr : v_neg) free(ptr->data); + for (auto ptr : v_diff_filtered) free(ptr->data); + v_pos.clear(); + v_neg.clear(); + v_diff_filtered.clear(); + if (ctx_ggml) { + ggml_free(ctx_ggml); + } + ctx_ggml = nullptr; + } +}; + +/** + * process_ctx is used to store the ggml context for pre-post processing the diff vectors + * in short, input => v_diff and output => v_final + */ +struct train_context { + ggml_context * ctx_ggml; + int n_embd; + int n_layers; + + /* pair of prompts to be used for generating final vector */ + std::vector positive_entries; + std::vector negative_entries; + + // each element of the vector correspond to one layer + // NOTE: the last layer is discard. therefore, we will have (n_layers - 1) elements here + // NOTE (2): v_diff is transposed from v_diff_tmp + std::vector v_diff; // vector of matrices of size [m, n_embd] where m ~ n_tokens * n_completions (v_diff contains no zero-rows) + std::vector v_final; // vector of vectors of size [n_embd] to be written to file + + // to easily re-alloc when concat v_diff, we temporary store v_diff in a vector instead of a tensor + // v_diff_tmp will get converted unto v_diff later on + std::vector> v_diff_tmp; + + train_context(int n_embd_, int n_layers_) { + n_embd = n_embd_; + n_layers = n_layers_; + struct ggml_init_params params_ggml = { + /*.mem_size =*/ ggml_tensor_overhead() * (n_layers - 1) * 2u, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ctx_ggml = ggml_init(params_ggml); + for (int il = 0; il < n_layers - 1; il++) { + std::vector empty; + v_diff_tmp.push_back(empty); + auto t = ggml_new_tensor_1d(ctx_ggml, GGML_TYPE_F32, n_embd); + t->data = malloc(ggml_nbytes(t)); // TODO: get rid of malloc if possible + v_final.push_back(t); + } + } + + // add new rows into existing tensor in v_diff_tmp + void concat_diff_tmp(const std::vector & diff_filtered) { + GGML_ASSERT((int) diff_filtered.size() == n_layers - 1); + for (int il = 0; il < n_layers - 1; il++) { + auto t = diff_filtered[il]; + auto & diff_tmp = v_diff_tmp[il]; + size_t curr_size = diff_tmp.size(); + diff_tmp.resize(curr_size + ggml_nbytes(t)); + memcpy(diff_tmp.data() + curr_size, t->data, ggml_nbytes(t)); + } + } + + // build the v_diff tensors from v_diff_tmp (v_diff need to be transposed) + // TODO @ngxson : maybe add option NOT to transpose v_diff; will be useful for "mean" method + void build_v_diff() { + printf("build_v_diff\n"); + for (int il = 0; il < n_layers - 1; il++) { + auto & diff_tmp = v_diff_tmp[il]; + int n_elem = diff_tmp.size() / sizeof(float); + GGML_ASSERT(n_elem % n_embd == 0); + int n_rows = n_elem / n_embd; + struct ggml_tensor * diff = ggml_new_tensor_2d(ctx_ggml, GGML_TYPE_F32, n_rows, n_embd); + ggml_set_name(diff, (std::string("diff_") + std::to_string(il)).c_str()); + // copy data & transpose + diff->data = malloc(ggml_nbytes(diff)); // TODO: get rid of this malloc if possible + float * arr = (float *) diff_tmp.data(); + for (int ir = 0; ir < n_rows; ++ir) { + for (int ic = 0; ic < n_embd; ++ic) { + float f = arr[ir*n_embd + ic]; + ggml_set_f32_nd(diff, ir, ic, 0, 0, f); + } + } + v_diff.push_back(diff); + print_debug_tensor(diff); + // free memory of diff_tmp + diff_tmp.resize(0); + } + } + + ~train_context() { + for (auto ptr : v_final) free(ptr->data); + for (auto ptr : v_diff) free(ptr->data); + // no need to free v_diff_tmp, since we didn't use malloc + ggml_free(ctx_ggml); + } +}; + +struct tokenized_prompt { + std::vector tokens_pos; + std::vector tokens_neg; + size_t max_seq_len; + + tokenized_prompt(llama_context * ctx, std::string pos, std::string neg) { + const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx)); + tokens_pos = ::llama_tokenize(ctx, pos, add_bos); + tokens_neg = ::llama_tokenize(ctx, neg, add_bos); + max_seq_len = std::max(tokens_pos.size(), tokens_neg.size()); + padding_seq(ctx, tokens_pos, max_seq_len); + padding_seq(ctx, tokens_neg, max_seq_len); + } + + void padding_seq(llama_context * ctx, std::vector & tokens, size_t len) { + // TODO: customize padding token + std::vector pad_tokens = ::llama_tokenize(ctx, " ", false); + llama_token pad_tok = pad_tokens.back(); + while (tokens.size() < len) { + tokens.push_back(pad_tok); + } + } +}; + +////////////////////////////////////////////////// + +template +static std::string to_string(const T & val) { + std::stringstream ss; + ss << val; + return ss.str(); +} + +static std::vector ctrlvec_load_prompt_file(std::string path, bool skip_empty_lines) { + std::vector output; + std::ifstream file(path); + if (!file.is_open()) { + fprintf(stderr, "error: unable to open file: %s\n", path.c_str()); + exit(1); + } + std::string line; + while (std::getline(file, line)) { + bool is_skip = skip_empty_lines && line.empty(); + if (!is_skip) { + string_process_escapes(line); + output.push_back(line); + } + } + file.close(); + return output; +} + +////////////////////////////////////////////////// + +static bool cb_eval(struct ggml_tensor * t, bool ask, void * user_data) { + auto * cb_data = (callback_data *) user_data; + static const char * l_out_name = "l_out"; + const bool is_l_out = strncmp(t->name, l_out_name, strlen(l_out_name)) == 0; + + if (ask) { + return is_l_out; + } + + if (!is_l_out || t->ne[1] != cb_data->n_tokens) { + return true; + } + + // save the tensor to current context + cb_data->save_tensor_for_layer(t); + return true; +} + +static bool get_hidden_layers(llama_context * ctx, std::vector & tokens) { + llama_kv_cache_clear(ctx); + if (llama_decode(ctx, llama_batch_get_one(tokens.data(), tokens.size(), 0, 0))) { + fprintf(stderr, "%s : failed to eval\n", __func__); + return false; + } + return true; +} + +static void export_gguf(const std::vector & v_ctrl, const std::string fname, const std::string model_hint) { + struct gguf_context * ctx = gguf_init_empty(); + + const std::string arch = "controlvector"; + gguf_set_val_str(ctx, "general.architecture", arch.c_str()); + gguf_set_val_str(ctx, (arch + ".model_hint").c_str(), model_hint.c_str()); + gguf_set_val_i32(ctx, (arch + ".layer_count").c_str(), v_ctrl.size()); + + for (size_t i = 0; i < v_ctrl.size(); ++i) { + gguf_add_tensor(ctx, v_ctrl[i]); + print_debug_tensor(v_ctrl[i]); + printf("Added tensor: %s\n", v_ctrl[i]->name); + } + + printf("%s: writing file...\n", __func__); + gguf_write_to_file(ctx, fname.c_str(), false); + printf("%s: wrote file '%s'\n", __func__, fname.c_str()); + gguf_free(ctx); +} + +/** + * Load prompt files and completion file. + * Then format each pair of prompt + completion to make an entry. + */ +static int prepare_entries(gpt_params & params, train_context & ctx_train) { + // load prompts + std::vector positive_prompts = ctrlvec_load_prompt_file(params.cvector_positive_file, true); + std::vector negative_prompts = ctrlvec_load_prompt_file(params.cvector_negative_file, true); + if (positive_prompts.size() != negative_prompts.size()) { + fprintf(stderr, "number of positive and negative prompts must be equal\n"); + return 1; + } + if (positive_prompts.empty()) { + fprintf(stderr, "must provide at least one prompt pair\n"); + return 1; + } + + // 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; + }; + for (size_t i = 0; i < positive_prompts.size(); ++i) { + for (int j = 0; j < std::min((int) completions.size(), params.n_completions); ++j) { + // TODO replicate the truncations done by the python implementation + ctx_train.positive_entries.push_back(format_template(positive_prompts[i], completions[j])); + ctx_train.negative_entries.push_back(format_template(negative_prompts[i], completions[j])); + } + } + return 0; +} + +int main(int argc, char ** argv) { + gpt_params params; + + if (!gpt_params_parse(argc, argv, params)) { + print_usage(argc, argv, params); + return 1; + } + + if (params.n_pca_iterations % params.n_pca_batch != 0) { + fprintf(stderr, "PCA iterations must by multiply of PCA batch size\n"); + return 1; + } + + + callback_data cb_data; + + // pass the callback to the backend scheduler + // it will be executed for each node during the graph computation + params.cb_eval = cb_eval; + params.cb_eval_user_data = &cb_data; + params.warmup = false; + + print_build_info(); + llama_backend_init(); + llama_numa_init(params.numa); + + // load the model to get hparams + llama_model * model; + llama_context * ctx; + std::tie(model, ctx) = llama_init_from_gpt_params(params); + + // int n_ctx = llama_n_ctx(ctx); + int n_layers = llama_n_layer(model); + int n_embd = llama_n_embd(model); + // get model hint param (a.k.a model arch name) + char model_hint[128]; + llama_model_meta_val_str(model, "general.architecture", model_hint, 128); + + // init train_context + train_context ctx_train(n_embd, n_layers); + + // load and prepare entries for training + prepare_entries(params, ctx_train); + + // we have to pretokenize everything because otherwise we don't know how much overhead to allocate ctx_diffs_wrapped + std::vector tokenized_prompts; + size_t n_total_tokens = 0; + for (size_t i = 0; i < ctx_train.positive_entries.size(); ++i) { + tokenized_prompt t(ctx, ctx_train.positive_entries[i], ctx_train.negative_entries[i]); + n_total_tokens += 2 * t.max_seq_len; + tokenized_prompts.push_back(std::move(t)); + } + + std::cout << "n_total_tokens: " << n_total_tokens << std::endl; + + for(size_t i = 0; i < ctx_train.positive_entries.size(); ++i) { + bool success = false; + tokenized_prompt t = tokenized_prompts[i]; + cb_data.n_layers = n_layers; + cb_data.n_tokens = t.max_seq_len; + + printf("Evaluating prompt[%d/%d]: \"%s\" - \"%s\" (%d tokens)\n", + (int) i+1, (int) ctx_train.positive_entries.size(), + tokens_to_str(ctx, t.tokens_pos.cbegin(), t.tokens_pos.cend()).c_str(), + tokens_to_str(ctx, t.tokens_neg.cbegin(), t.tokens_neg.cend()).c_str(), + (int) t.max_seq_len); + + cb_data.is_eval_pos = true; + success = get_hidden_layers(ctx, t.tokens_pos); + if (!success) break; + + cb_data.is_eval_pos = false; + success = get_hidden_layers(ctx, t.tokens_neg); + if (!success) break; + + // calculate diff and remove all zero rows + auto v_diff_filtered = cb_data.calc_diff(); + + // save & concat the filtered v_diff to ctx_train + ctx_train.concat_diff_tmp(v_diff_filtered); + + // reset for next iteration + cb_data.reset(); + } + + // done with the model, we can now free it to make gain some memory + printf("Done evaluate prompts, unload model...\n"); + llama_free(ctx); + llama_free_model(model); + + // prepare ctx_train for PCA + ctx_train.build_v_diff(); + + // run PCA + PCA::pca_params pca_params; + pca_params.n_threads = params.n_threads; + pca_params.n_batch = params.n_pca_batch; + pca_params.n_iterations = params.n_pca_iterations; + PCA::run_pca(pca_params, ctx_train.v_diff, ctx_train.v_final); + + // write output vectors to gguf + export_gguf(ctx_train.v_final, params.cvector_outfile, model_hint); + + llama_backend_free(); + + return 0; +} diff --git a/examples/cvector-generator/negative.txt b/examples/cvector-generator/negative.txt new file mode 100644 index 000000000..2ac3387f1 --- /dev/null +++ b/examples/cvector-generator/negative.txt @@ -0,0 +1 @@ +[INST] Act like a person who is extremely sad. [/INST] \ No newline at end of file diff --git a/examples/cvector-generator/pca.hpp b/examples/cvector-generator/pca.hpp new file mode 100644 index 000000000..36eadaac2 --- /dev/null +++ b/examples/cvector-generator/pca.hpp @@ -0,0 +1,322 @@ +#include "common.h" +#include "llama.h" +#include "ggml.h" + +#ifdef GGML_USE_CUDA +#include "ggml-cuda.h" +#endif + +#ifdef GGML_USE_METAL +#include "ggml-metal.h" +#endif + +#include +#include +#include +#include +#include +#include +#include +#include + +#define DEBUG_POS 5 + +static void print_debug_tensor(struct ggml_tensor * t, bool with_data = true) { + printf("%s: %s (%s): [%d, %d]\n", __func__, t->name, ggml_type_name(t->type), (int) t->ne[0], (int) t->ne[1]); + if (!with_data) return; + printf("%s: %s[0] = [", __func__, t->name); + for (size_t i = 0; i <= DEBUG_POS; i++) { + printf(" %f,", ggml_get_f32_nd(t, i, 0, 0, 0)); + } + printf(" ... ]\n"); +} + +namespace PCA { + +// input params for PCA computations +struct pca_params { + int n_threads = 1; + int n_batch = 20; // number of iterations do to in one batch. larger the batch, more memory is used + int n_iterations = 1000; + float tolerance = 1e-7; + + // for debugging + int i_layer = 0; + int n_layers = 0; +}; + +// result from each iteration +struct pca_result { + struct ggml_tensor * calculated_square = NULL; + std::vector eigenvectors; + std::vector distances; +}; + +struct pca_model { + ggml_backend_t backend = NULL; + ggml_backend_buffer_t buffer; + struct ggml_context * ctx; // context to compute graph on target device + struct ggml_context * ctx_host; // host context to store results + + // tensors on target device + struct ggml_tensor * dev_input; + struct ggml_tensor * dev_square; + struct ggml_tensor * dev_eigenvector; + + pca_model(struct ggml_tensor * t_input) { +#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(); +// if (!backend) { +// fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__); +// } +// #endif + + // if there aren't GPU Backends fallback to CPU backend + if (!backend) { + backend = ggml_backend_cpu_init(); + } + + const int num_tensors = 4; + struct ggml_init_params params { + /*.mem_size =*/ ggml_tensor_overhead() * num_tensors, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ctx = ggml_init(params); + + auto n_samples = t_input->ne[0]; + auto n_embd = t_input->ne[1]; + + dev_input = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_samples, n_embd); + dev_square = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_embd); + dev_eigenvector = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); + + ggml_set_name(dev_input, "dev_input"); + ggml_set_name(dev_square, "dev_square"); + ggml_set_name(dev_eigenvector, "dev_eigenvector"); + buffer = ggml_backend_alloc_ctx_tensors(ctx, backend); + ggml_backend_tensor_set(dev_input, t_input->data, 0, ggml_nbytes(t_input)); + + // initialize eigenvector to random normalized vector + { + std::vector random_vec(ggml_nelements(dev_eigenvector), 0.0); + std::default_random_engine generator(static_cast(std::time(0))); + std::uniform_real_distribution distribution(0.0, 1.0); + float sum_sqr = 0.0; // for normalizing random_vec + for (size_t i = 0; i < random_vec.size(); ++i) { + float f = distribution(generator); + sum_sqr += f * f; + random_vec[i] = f; + } + // normalize it + float random_vec_norm = std::sqrt(sum_sqr); + for (size_t i = 0; i < random_vec.size(); ++i) { + random_vec[i] /= random_vec_norm; + } + ggml_backend_tensor_set(dev_eigenvector, random_vec.data(), 0, ggml_nbytes(dev_eigenvector)); + } + } + + ~pca_model() { + ggml_free(ctx); + ggml_backend_buffer_free(buffer); + ggml_backend_free(backend); + } +}; + +static struct ggml_cgraph * build_graph_piter( + const struct pca_params & params, + const pca_model & model, + bool calc_square = false) { + GGML_ASSERT(params.n_batch > 0); + // TODO: buf_size must be able to scale with params.n_batch + static size_t buf_size = ggml_tensor_overhead()*GGML_DEFAULT_GRAPH_SIZE + ggml_graph_overhead(); + static std::vector buf(buf_size); + + struct ggml_init_params params0 = { + /*.mem_size =*/ buf_size, + /*.mem_buffer =*/ buf.data(), + /*.no_alloc =*/ true, // the tensors will be allocated later by ggml_allocr_alloc_graph() + }; + // create a temporally context to build the graph + struct ggml_context * ctx0 = ggml_init(params0); + struct ggml_cgraph * gf = ggml_new_graph(ctx0); + + // turn v_diff_original into square matrix if needed + struct ggml_tensor * tmp_square; + if (calc_square) { + tmp_square = ggml_mul_mat(ctx0, model.dev_input, model.dev_input); + ggml_set_name(tmp_square, "tmp_square"); + } + + struct ggml_tensor * b_tensor; + struct ggml_tensor * distance; + struct ggml_tensor * old_eigen = model.dev_eigenvector; + struct ggml_tensor * input_square = calc_square ? tmp_square : model.dev_square; + + for (int i = 0; i < params.n_batch; ++i) { + // b_tensor = square * eigenvector^T + b_tensor = ggml_mul_mat(ctx0, input_square, old_eigen); + ggml_set_name(b_tensor, "b_tensor"); + + // normalize + b_tensor = ggml_div_inplace(ctx0, + b_tensor, + ggml_sqrt_inplace(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, b_tensor))) + ); + ggml_format_name(b_tensor, "b_tensor_norm_%d", i); + + // calculate distance(new eigenvector - old eigenvector) + // we don't use ggml_sub because it may not be implemented on GPU backend + struct ggml_tensor * new_sub_old = ggml_add(ctx0, old_eigen, ggml_scale(ctx0, b_tensor, -1)); + distance = ggml_sqrt_inplace(ctx0, + ggml_sum_rows(ctx0, ggml_sqr_inplace(ctx0, new_sub_old))); + ggml_format_name(distance, "distance_%d", i); + + old_eigen = b_tensor; + + // build operations nodes + ggml_build_forward_expand(gf, distance); + } + + // delete the temporally context used to build the graph + ggml_free(ctx0); + return gf; +} + +static ggml_status compute_piter( + const struct pca_params & params, + const pca_model & model, + struct ggml_cgraph * gf, + ggml_gallocr_t allocr, + struct pca_result & result) { + // allocate tensors + ggml_gallocr_alloc_graph(allocr, gf); + + if (ggml_backend_is_cpu(model.backend)) { + ggml_backend_cpu_set_n_threads(model.backend, params.n_threads); + } + +// TODO: enable GPU support when support for GGML_OP_SQRT is added +//#ifdef GGML_USE_METAL +// if (ggml_backend_is_metal(model.backend)) { +// ggml_backend_metal_set_n_cb(model.backend, params.n_threads); +// } +//#endif + + ggml_status res = ggml_backend_graph_compute(model.backend, gf); + if (res == GGML_STATUS_SUCCESS) { + auto extract_i = [](std::string prefix, std::string str) -> int { + int i = -1; + if (str.rfind(prefix, 0) == 0) { + sscanf(str.c_str(), (prefix + "%d").c_str(), &i); + } + return i; + }; + result.calculated_square = NULL; + result.eigenvectors.clear(); + result.distances.clear(); + result.eigenvectors.resize(params.n_batch); + result.distances.resize(params.n_batch); + // get output nodes + for (int i = 0; i < gf->n_nodes; ++i) { + auto node = gf->nodes[i]; + int iter = -1; + // find b_tensor (without copying data from device) + if ((iter = extract_i("b_tensor_norm_", node->name)) > -1) { + result.eigenvectors[iter] = node; + } + // find distances, then copy data from device + if ((iter = extract_i("distance_", node->name)) > -1) { + float d; + ggml_backend_tensor_get(node, &d, 0, sizeof(float)); + result.distances[iter] = d; + // std::cout << node->name << " = " << d << "\n"; + } + // find tmp_square if it exists (without copying data from device) + if (std::string(node->name) == "tmp_square") { + result.calculated_square = node; + } + } + } + return res; +} + +static void power_iteration( + const struct pca_params & params, + struct ggml_tensor * input, // shape of input: [n_samples, n_embd] + struct ggml_tensor * output) { + //printf("in power iteration\n"); + struct pca_model model(input); + + ggml_gallocr_t allocr = ggml_gallocr_new(ggml_backend_get_default_buffer_type(model.backend)); + struct pca_result result; + struct ggml_tensor * last_eigenvector = NULL; + + int n_iters = params.n_iterations / params.n_batch; // more batch, fewer iterations + for (int iter = 0; iter < n_iters; ++iter) { + bool calc_square = (iter == 0); // only need to calculate square for first iteration + struct ggml_cgraph * gf = build_graph_piter(params, model, calc_square); + // ggml_graph_dump_dot(gf, nullptr, "/tmp/_cgraph.dot"); + compute_piter(params, model, gf, allocr, result); + + for (size_t k = 0; k < result.distances.size(); ++k) { + last_eigenvector = result.eigenvectors[k]; + if (result.distances[k] < params.tolerance) { + break; // done + } + } + + if (calc_square) { + // copy and store the square matrix if needed + GGML_ASSERT(result.calculated_square != NULL); + ggml_backend_tensor_copy(result.calculated_square, model.dev_square); + } + + { + // copy last eigen vector and store as input for next iteration + GGML_ASSERT(last_eigenvector != NULL); + ggml_backend_tensor_copy(last_eigenvector, model.dev_eigenvector); + } + + printf("%s: layer %d/%d, iteration: %d / total: %d (batch = %d) ...\n", + __func__, params.i_layer+1, params.n_layers, iter, n_iters, params.n_batch); + } + + // get output tensor + GGML_ASSERT(last_eigenvector); + ggml_backend_tensor_get(last_eigenvector, output->data, 0, ggml_nbytes(last_eigenvector)); + //print_debug_tensor(output); + ggml_gallocr_free(allocr); +} + +static void run_pca( + struct pca_params & params, + const std::vector & v_input, // shape of v_input[0]: [n_samples, n_embd] + const std::vector & v_output) { + printf("%s: Running PCA...\n", __func__); + for (size_t il = 0; il < v_input.size(); ++il) { + + // prepare output vector + struct ggml_tensor * ctrl_out = v_output[il]; + ggml_format_name(ctrl_out, "direction.%ld", il+1); + + // run power_iteration + params.i_layer = il; + params.n_layers = v_input.size(); + power_iteration(params, v_input[il], ctrl_out); + printf("%s: Done layer %d / %d\n", __func__, (int) il+1, (int) v_input.size()); + } +} + +} diff --git a/examples/cvector-generator/positive.txt b/examples/cvector-generator/positive.txt new file mode 100644 index 000000000..f28e9aa1a --- /dev/null +++ b/examples/cvector-generator/positive.txt @@ -0,0 +1 @@ +[INST] Act like a person who is extremely happy. [/INST] \ No newline at end of file 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": { 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; } 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/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]; } } 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/ggml-quants.c b/ggml-quants.c index 9f864e5c4..0b346c11e 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 @@ -1078,6 +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++) { @@ -1437,6 +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++) { @@ -4113,12 +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); @@ -4140,9 +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); } @@ -4516,6 +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); @@ -4537,15 +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); } @@ -5247,6 +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); @@ -5272,18 +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); } @@ -5523,9 +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); @@ -5544,13 +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); @@ -5938,6 +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); @@ -5975,15 +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); @@ -5993,14 +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); @@ -6012,45 +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); @@ -6641,6 +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); @@ -6658,30 +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; @@ -6755,23 +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); @@ -7270,6 +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); @@ -7288,15 +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); @@ -7312,14 +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; @@ -7334,14 +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); @@ -7353,41 +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); @@ -7889,6 +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); @@ -7907,18 +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); @@ -7938,10 +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; @@ -7966,10 +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); @@ -7977,22 +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); @@ -8553,6 +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); @@ -8569,14 +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; @@ -8656,23 +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); @@ -8953,6 +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); @@ -8965,14 +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; @@ -9019,21 +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); @@ -9425,6 +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); @@ -9437,14 +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; @@ -9492,21 +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); @@ -9729,6 +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); @@ -9743,14 +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; @@ -9810,21 +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); @@ -10062,6 +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); @@ -10072,14 +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); @@ -10124,21 +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); @@ -10428,6 +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); @@ -10448,14 +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); @@ -10509,21 +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); @@ -10804,10 +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; @@ -10849,14 +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; @@ -10871,11 +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); @@ -11269,6 +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); @@ -11299,8 +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); @@ -11455,6 +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); @@ -11470,14 +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; @@ -11522,21 +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); @@ -13139,7 +13056,7 @@ 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 +13254,7 @@ 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 +13430,7 @@ 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: +, - 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) | diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp index 6f41ed272..6bd42b960 100644 --- a/ggml-sycl.cpp +++ b/ggml-sycl.cpp @@ -36,6 +36,8 @@ #include "ggml.h" #include "ggml-backend-impl.h" +#include "ggml-sycl/backend.hpp" + /* Following definition copied from DPCT head files, which are used by ggml-sycl.cpp */ @@ -82,3020 +84,7 @@ Following definition copied from DPCT head files, which are used by ggml-sycl.cp #define __dpct_noinline__ __attribute__((noinline)) #endif - -std::string get_device_type_name(const sycl::device &Device) { - auto DeviceType = Device.get_info(); - switch (DeviceType) { - case sycl::info::device_type::cpu: - return "cpu"; - case sycl::info::device_type::gpu: - return "gpu"; - case sycl::info::device_type::host: - return "host"; - case sycl::info::device_type::accelerator: - return "acc"; - default: - return "unknown"; - } -} - -std::string get_device_backend_and_type(const sycl::device &device) { - std::stringstream device_type; - sycl::backend backend = device.get_backend(); - device_type << backend << ":" << get_device_type_name(device); - return device_type.str(); -} - -namespace dpct -{ - typedef sycl::queue *queue_ptr; - typedef sycl::event *event_ptr; - typedef char *device_ptr; - typedef uint8_t byte_t; - typedef sycl::buffer buffer_t; - - /// SYCL default exception handler - inline auto exception_handler = [](sycl::exception_list exceptions) - { - for (std::exception_ptr const &e : exceptions) - { - try - { - std::rethrow_exception(e); - } - catch (sycl::exception const &e) - { - std::cerr << "Caught asynchronous SYCL exception:" << std::endl - << e.what() << std::endl - << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - } - } - }; - - enum error_code - { - success = 0, - default_error = 999 - }; - - enum memcpy_direction - { - host_to_host, - host_to_device, - device_to_host, - device_to_device, - automatic - }; - - enum memory_region - { - global = 0, // device global memory - constant, // device constant memory - local, // device local memory - shared, // memory which can be accessed by host and device - }; - - enum class library_data_t : unsigned char - { - real_float = 0, - complex_float, - real_double, - complex_double, - real_half, - complex_half, - real_bfloat16, - complex_bfloat16, - real_int4, - complex_int4, - real_uint4, - complex_uint4, - real_int8, - complex_int8, - real_uint8, - complex_uint8, - real_int16, - complex_int16, - real_uint16, - complex_uint16, - real_int32, - complex_int32, - real_uint32, - complex_uint32, - real_int64, - complex_int64, - real_uint64, - complex_uint64, - real_int8_4, - real_int8_32, - real_uint8_4, - library_data_t_size - }; - - template - struct DataType - { - using T2 = T; - }; - template - struct DataType> - { - using T2 = std::complex; - }; - - static void destroy_event(event_ptr event) - { - delete event; - } - - static inline unsigned int get_tid() - { -#if defined(__linux__) - return syscall(SYS_gettid); -#elif defined(_WIN64) - return GetCurrentThreadId(); -#else -#error "Only support Windows and Linux." -#endif - } - - namespace detail - { - static void get_version(const sycl::device &dev, int &major, int &minor) - { - // Version string has the following format: - // a. OpenCL - // b. - // c. e.g gfx1030 - std::string ver; - ver = dev.get_info(); - std::string::size_type i = 0; - while (i < ver.size()) { - if (isdigit(ver[i])) - break; - i++; - } - major = std::stoi(&(ver[i])); - while (i < ver.size()) { - if (ver[i] == '.') - break; - i++; - } - if (i < ver.size()) { - // a. and b. - i++; - minor = std::stoi(&(ver[i])); - } else { - // c. - minor = 0; - } - } - - template - class generic_error_type - { - public: - generic_error_type() = default; - generic_error_type(T value) : value{value} {} - operator T() const { return value; } - - private: - T value; - }; - - } // namespace detail - - /// Pitched 2D/3D memory data. - class pitched_data - { - public: - pitched_data() : pitched_data(nullptr, 0, 0, 0) {} - pitched_data(void *data, size_t pitch, size_t x, size_t y) - : _data(data), _pitch(pitch), _x(x), _y(y) {} - - void *get_data_ptr() { return _data; } - void set_data_ptr(void *data) { _data = data; } - - size_t get_pitch() { return _pitch; } - void set_pitch(size_t pitch) { _pitch = pitch; } - - size_t get_x() { return _x; } - void set_x(size_t x) { _x = x; }; - - size_t get_y() { return _y; } - void set_y(size_t y) { _y = y; } - - private: - void *_data; - size_t _pitch, _x, _y; - }; - - class device_info - { - public: - // get interface - const char *get_name() const { return _name; } - char *get_name() { return _name; } - template , - std::enable_if_t> || - std::is_same_v, - int> = 0> - auto get_max_work_item_sizes() const - { - if constexpr (std::is_same_v>) - return sycl::range<3>(_max_work_item_sizes_i[0], - _max_work_item_sizes_i[1], - _max_work_item_sizes_i[2]); - else - { - return _max_work_item_sizes_i; - } - } - template , - std::enable_if_t> || - std::is_same_v, - int> = 0> - auto get_max_work_item_sizes() - { - if constexpr (std::is_same_v>) - return sycl::range<3>(_max_work_item_sizes_i[0], - _max_work_item_sizes_i[1], - _max_work_item_sizes_i[2]); - else - { - return _max_work_item_sizes_i; - } - } - bool get_host_unified_memory() const { return _host_unified_memory; } - int get_major_version() const { return _major; } - int get_minor_version() const { return _minor; } - int get_integrated() const { return _integrated; } - int get_max_clock_frequency() const { return _frequency; } - int get_max_compute_units() const { return _max_compute_units; } - int get_max_work_group_size() const { return _max_work_group_size; } - int get_max_sub_group_size() const { return _max_sub_group_size; } - int get_max_work_items_per_compute_unit() const - { - return _max_work_items_per_compute_unit; - } - int get_max_register_size_per_work_group() const - { - return _max_register_size_per_work_group; - } - template || - std::is_same_v, - int> = 0> - auto get_max_nd_range_size() const - { - if constexpr (std::is_same_v) - return _max_nd_range_size; - else - return _max_nd_range_size_i; - } - template || - std::is_same_v, - int> = 0> - auto get_max_nd_range_size() - { - if constexpr (std::is_same_v) - return _max_nd_range_size; - else - return _max_nd_range_size_i; - } - size_t get_global_mem_size() const { return _global_mem_size; } - size_t get_local_mem_size() const { return _local_mem_size; } - size_t get_max_mem_alloc_size() const { return _max_mem_alloc_size; } - /// Returns the maximum clock rate of device's global memory in kHz. If - /// compiler does not support this API then returns default value 3200000 kHz. - unsigned int get_memory_clock_rate() const { return _memory_clock_rate; } - /// Returns the maximum bus width between device and memory in bits. If - /// compiler does not support this API then returns default value 64 bits. - unsigned int get_memory_bus_width() const { return _memory_bus_width; } - uint32_t get_device_id() const { return _device_id; } - std::array get_uuid() const { return _uuid; } - /// Returns global memory cache size in bytes. - unsigned int get_global_mem_cache_size() const - { - return _global_mem_cache_size; - } - - // set interface - void set_name(const char *name) - { - size_t length = strlen(name); - if (length < 256) - { - std::memcpy(_name, name, length + 1); - } - else - { - std::memcpy(_name, name, 255); - _name[255] = '\0'; - } - } - void set_max_work_item_sizes(const sycl::range<3> max_work_item_sizes) - { - for (int i = 0; i < 3; ++i) - _max_work_item_sizes_i[i] = max_work_item_sizes[i]; - } - [[deprecated]] void - set_max_work_item_sizes(const sycl::id<3> max_work_item_sizes) - { - for (int i = 0; i < 3; ++i) - { - _max_work_item_sizes_i[i] = max_work_item_sizes[i]; - } - } - void set_host_unified_memory(bool host_unified_memory) - { - _host_unified_memory = host_unified_memory; - } - void set_major_version(int major) { _major = major; } - void set_minor_version(int minor) { _minor = minor; } - void set_integrated(int integrated) { _integrated = integrated; } - void set_max_clock_frequency(int frequency) { _frequency = frequency; } - void set_max_compute_units(int max_compute_units) - { - _max_compute_units = max_compute_units; - } - void set_global_mem_size(size_t global_mem_size) - { - _global_mem_size = global_mem_size; - } - void set_local_mem_size(size_t local_mem_size) - { - _local_mem_size = local_mem_size; - } - void set_max_mem_alloc_size(size_t max_mem_alloc_size) - { - _max_mem_alloc_size = max_mem_alloc_size; - } - void set_max_work_group_size(int max_work_group_size) - { - _max_work_group_size = max_work_group_size; - } - void set_max_sub_group_size(int max_sub_group_size) - { - _max_sub_group_size = max_sub_group_size; - } - void - set_max_work_items_per_compute_unit(int max_work_items_per_compute_unit) - { - _max_work_items_per_compute_unit = max_work_items_per_compute_unit; - } - void set_max_nd_range_size(int max_nd_range_size[]) - { - for (int i = 0; i < 3; i++) - { - _max_nd_range_size[i] = max_nd_range_size[i]; - _max_nd_range_size_i[i] = max_nd_range_size[i]; - } - } - void set_memory_clock_rate(unsigned int memory_clock_rate) - { - _memory_clock_rate = memory_clock_rate; - } - void set_memory_bus_width(unsigned int memory_bus_width) - { - _memory_bus_width = memory_bus_width; - } - void - set_max_register_size_per_work_group(int max_register_size_per_work_group) - { - _max_register_size_per_work_group = max_register_size_per_work_group; - } - void set_device_id(uint32_t device_id) - { - _device_id = device_id; - } - void set_uuid(std::array uuid) - { - _uuid = std::move(uuid); - } - void set_global_mem_cache_size(unsigned int global_mem_cache_size) - { - _global_mem_cache_size = global_mem_cache_size; - } - - private: - char _name[256]; - int _max_work_item_sizes_i[3]; - bool _host_unified_memory = false; - int _major; - int _minor; - int _integrated = 0; - int _frequency; - // Set estimated value 3200000 kHz as default value. - unsigned int _memory_clock_rate = 3200000; - // Set estimated value 64 bits as default value. - unsigned int _memory_bus_width = 64; - unsigned int _global_mem_cache_size; - int _max_compute_units; - int _max_work_group_size; - int _max_sub_group_size; - int _max_work_items_per_compute_unit; - int _max_register_size_per_work_group; - size_t _global_mem_size; - size_t _local_mem_size; - size_t _max_mem_alloc_size; - size_t _max_nd_range_size[3]; - int _max_nd_range_size_i[3]; - uint32_t _device_id; - std::array _uuid; - }; - - static int get_major_version(const sycl::device &dev) - { - int major, minor; - detail::get_version(dev, major, minor); - return major; - } - - static int get_minor_version(const sycl::device &dev) - { - int major, minor; - detail::get_version(dev, major, minor); - return minor; - } - - static void get_device_info(device_info &out, const sycl::device &dev) - { - device_info prop; - prop.set_name(dev.get_info().c_str()); - - int major, minor; - detail::get_version(dev, major, minor); - prop.set_major_version(major); - prop.set_minor_version(minor); - - prop.set_max_work_item_sizes( -#if (__SYCL_COMPILER_VERSION && __SYCL_COMPILER_VERSION < 20220902) - // oneAPI DPC++ compiler older than 2022/09/02, where max_work_item_sizes - // is an enum class element - dev.get_info()); -#else - // SYCL 2020-conformant code, max_work_item_sizes is a struct templated by - // an int - dev.get_info>()); -#endif - prop.set_host_unified_memory(dev.has(sycl::aspect::usm_host_allocations)); - - prop.set_max_clock_frequency( - dev.get_info() * 1000); - - prop.set_max_compute_units( - dev.get_info()); - prop.set_max_work_group_size( - dev.get_info()); - prop.set_global_mem_size(dev.get_info()); - prop.set_local_mem_size(dev.get_info()); - prop.set_max_mem_alloc_size(dev.get_info()); - -#if (defined(SYCL_EXT_INTEL_DEVICE_INFO) && SYCL_EXT_INTEL_DEVICE_INFO >= 6) - if (dev.has(sycl::aspect::ext_intel_memory_clock_rate)) - { - unsigned int tmp = - dev.get_info(); - if (tmp != 0) - prop.set_memory_clock_rate(1000 * tmp); - } - if (dev.has(sycl::aspect::ext_intel_memory_bus_width)) - { - prop.set_memory_bus_width( - dev.get_info()); - } - if (dev.has(sycl::aspect::ext_intel_device_id)) - { - prop.set_device_id( - dev.get_info()); - } - if (dev.has(sycl::aspect::ext_intel_device_info_uuid)) - { - prop.set_uuid(dev.get_info()); - } -#elif defined(_MSC_VER) && !defined(__clang__) -#pragma message("get_device_info: querying memory_clock_rate and \ - memory_bus_width are not supported by the compiler used. \ - Use 3200000 kHz as memory_clock_rate default value. \ - Use 64 bits as memory_bus_width default value.") -#else -#warning "get_device_info: querying memory_clock_rate and \ - memory_bus_width are not supported by the compiler used. \ - Use 3200000 kHz as memory_clock_rate default value. \ - Use 64 bits as memory_bus_width default value." -#endif - - size_t max_sub_group_size = 1; - std::vector sub_group_sizes = - dev.get_info(); - - for (const auto &sub_group_size : sub_group_sizes) - { - if (max_sub_group_size < sub_group_size) - max_sub_group_size = sub_group_size; - } - - prop.set_max_sub_group_size(max_sub_group_size); - - prop.set_max_work_items_per_compute_unit( - dev.get_info()); - int max_nd_range_size[] = {0x7FFFFFFF, 0x7FFFFFFF, 0x7FFFFFFF}; - prop.set_max_nd_range_size(max_nd_range_size); - - // Estimates max register size per work group, feel free to update the value - // according to device properties. - prop.set_max_register_size_per_work_group(65536); - - prop.set_global_mem_cache_size( - dev.get_info()); - out = prop; - } - - /// 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(); - } - - 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_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(); - } - - 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_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_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_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"; -#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(); - } -#else - 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); - 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, - 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()); - } - - 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; } - - private: - void clear_queues() - { - _queues.clear(); - _q_in_order = _q_out_of_order = _saved_queue = nullptr; - } - - 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( -#ifdef DPCT_PROFILING_ENABLED - sycl::property::queue::enable_profiling(), -#endif - properties...))); - - return _queues.back().get(); - } - - template - sycl::queue *create_queue_impl(sycl::context context, 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(); - } - - 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; - }; - - /// device manager - class dev_mgr - { - public: - device_ext ¤t_device() - { - unsigned int dev_id = current_device_id(); - check_id(dev_id); - return *_devs[dev_id]; - } - device_ext &cpu_device() const - { - std::lock_guard lock(m_mutex); - if (_cpu_device == -1) - { - throw std::runtime_error("no valid cpu device"); - } - else - { - return *_devs[_cpu_device]; - } - } - device_ext &get_device(unsigned int id) const - { - std::lock_guard lock(m_mutex); - check_id(id); - return *_devs[id]; - } - unsigned int current_device_id() const - { - std::lock_guard lock(m_mutex); - auto it = _thread2dev_map.find(get_tid()); - if (it != _thread2dev_map.end()) - return it->second; - return DEFAULT_DEVICE_ID; - } - - /// Select device with a device ID. - /// \param [in] id The id of the device which can - /// be obtained through get_device_id(const sycl::device). - void select_device(unsigned int id) - { - std::lock_guard lock(m_mutex); - check_id(id); - _thread2dev_map[get_tid()] = id; - } - unsigned int device_count() { return _devs.size(); } - - unsigned int get_device_id(const sycl::device &dev) - { - unsigned int id = 0; - for (auto dev_item : _devs) - { - if (*dev_item == dev) - { - break; - } - id++; - } - return id; - } - - template - std::enable_if_t< - std::is_invocable_r_v> - select_device(const DeviceSelector &selector = sycl::gpu_selector_v) - { - sycl::device selected_device = sycl::device(selector); - unsigned int selected_device_id = get_device_id(selected_device); - select_device(selected_device_id); - } - - /// Returns the instance of device manager singleton. - static dev_mgr &instance() - { - static dev_mgr d_m; - return d_m; - } - dev_mgr(const dev_mgr &) = delete; - dev_mgr &operator=(const dev_mgr &) = delete; - dev_mgr(dev_mgr &&) = delete; - dev_mgr &operator=(dev_mgr &&) = delete; - - private: - mutable std::recursive_mutex m_mutex; - static bool compare_dev(sycl::device &device1, sycl::device &device2) - { - dpct::device_info prop1; - dpct::get_device_info(prop1, device1); - dpct::device_info prop2; - dpct::get_device_info(prop2, device2); - return prop1.get_max_compute_units() > prop2.get_max_compute_units(); - } - static int convert_backend_index(std::string & backend) { - if (backend == "ext_oneapi_level_zero:gpu") return 0; - if (backend == "opencl:gpu") return 1; - if (backend == "ext_oneapi_cuda:gpu") return 2; - if (backend == "ext_oneapi_hip:gpu") return 3; - if (backend == "opencl:cpu") return 4; - if (backend == "opencl:acc") return 5; - printf("convert_backend_index: can't handle backend=%s\n", backend.c_str()); - GGML_ASSERT(false); - } - static bool compare_backend(std::string &backend1, std::string &backend2) { - return convert_backend_index(backend1) < convert_backend_index(backend2); - } - dev_mgr() - { - sycl::device default_device = - sycl::device(sycl::default_selector_v); - _devs.push_back(std::make_shared(default_device)); - - std::vector sycl_all_devs; - // Collect other devices except for the default device. - if (default_device.is_cpu()) - _cpu_device = 0; - - auto Platforms = sycl::platform::get_platforms(); - // Keep track of the number of devices per backend - std::map DeviceNums; - std::map> backend_devices; - - while (!Platforms.empty()) { - auto Platform = Platforms.back(); - Platforms.pop_back(); - auto devices = Platform.get_devices(); - std::string backend_type = get_device_backend_and_type(devices[0]); - for (const auto &device : devices) { - backend_devices[backend_type].push_back(device); - } - } - - std::vector keys; - for(auto it = backend_devices.begin(); it != backend_devices.end(); ++it) { - keys.push_back(it->first); - } - std::sort(keys.begin(), keys.end(), compare_backend); - - for (auto &key : keys) { - std::vector devs = backend_devices[key]; - std::sort(devs.begin(), devs.end(), compare_dev); - for (const auto &dev : devs) { - sycl_all_devs.push_back(dev); - } - } - - for (auto &dev : sycl_all_devs) - { - if (dev == default_device) - { - continue; - } - _devs.push_back(std::make_shared(dev)); - if (_cpu_device == -1 && dev.is_cpu()) - { - _cpu_device = _devs.size() - 1; - } - } - } - void check_id(unsigned int id) const - { - if (id >= _devs.size()) - { - throw std::runtime_error("invalid device id"); - } - } - std::vector> _devs; - /// DEFAULT_DEVICE_ID is used, if current_device_id() can not find current - /// thread id in _thread2dev_map, which means default device should be used - /// for the current thread. - const unsigned int DEFAULT_DEVICE_ID = 0; - /// thread-id to device-id map. - std::map _thread2dev_map; - int _cpu_device = -1; - }; - - static inline sycl::queue &get_default_queue() - { - return dev_mgr::instance().current_device().default_queue(); - } - - namespace detail - { - enum class pointer_access_attribute - { - host_only = 0, - device_only, - host_device, - end - }; - - static pointer_access_attribute get_pointer_attribute(sycl::queue &q, - const void *ptr) - { - switch (sycl::get_pointer_type(ptr, q.get_context())) - { - case sycl::usm::alloc::unknown: - return pointer_access_attribute::host_only; - case sycl::usm::alloc::device: - return pointer_access_attribute::device_only; - case sycl::usm::alloc::shared: - case sycl::usm::alloc::host: - return pointer_access_attribute::host_device; - } - } - - template - inline constexpr std::uint64_t get_type_combination_id(ArgT Val) - { - static_assert((unsigned char)library_data_t::library_data_t_size <= - std::numeric_limits::max() && - "library_data_t size exceeds limit."); - static_assert(std::is_same_v, "Unsupported ArgT"); - return (std::uint64_t)Val; - } - - template - inline constexpr std::uint64_t get_type_combination_id(FirstT FirstVal, - RestT... RestVal) - { - static_assert((std::uint8_t)library_data_t::library_data_t_size <= - std::numeric_limits::max() && - "library_data_t size exceeds limit."); - static_assert(sizeof...(RestT) <= 8 && "Too many parameters"); - static_assert(std::is_same_v, "Unsupported FirstT"); - return get_type_combination_id(RestVal...) << 8 | ((std::uint64_t)FirstVal); - } - - class mem_mgr - { - mem_mgr() - { - // Reserved address space, no real memory allocation happens here. -#if defined(__linux__) - mapped_address_space = - (byte_t *)mmap(nullptr, mapped_region_size, PROT_NONE, - MAP_PRIVATE | MAP_ANONYMOUS, -1, 0); -#elif defined(_WIN64) - mapped_address_space = (byte_t *)VirtualAlloc( - NULL, // NULL specified as the base address parameter - mapped_region_size, // Size of allocation - MEM_RESERVE, // Allocate reserved pages - PAGE_NOACCESS); // Protection = no access -#else -#error "Only support Windows and Linux." -#endif - next_free = mapped_address_space; - }; - - public: - using buffer_id_t = int; - - struct allocation - { - buffer_t buffer; - byte_t *alloc_ptr; - size_t size; - }; - - ~mem_mgr() - { -#if defined(__linux__) - munmap(mapped_address_space, mapped_region_size); -#elif defined(_WIN64) - VirtualFree(mapped_address_space, 0, MEM_RELEASE); -#else -#error "Only support Windows and Linux." -#endif - }; - - mem_mgr(const mem_mgr &) = delete; - mem_mgr &operator=(const mem_mgr &) = delete; - mem_mgr(mem_mgr &&) = delete; - mem_mgr &operator=(mem_mgr &&) = delete; - - /// Allocate - void *mem_alloc(size_t size) - { - if (!size) - return nullptr; - std::lock_guard lock(m_mutex); - if (next_free + size > mapped_address_space + mapped_region_size) - { - throw std::runtime_error("dpct_malloc: out of memory for virtual memory pool"); - } - // Allocation - sycl::range<1> r(size); - buffer_t buf(r); - allocation A{buf, next_free, size}; - // Map allocation to device pointer - void *result = next_free; - m_map.emplace(next_free + size, A); - // Update pointer to the next free space. - next_free += (size + extra_padding + alignment - 1) & ~(alignment - 1); - - return result; - } - - /// Deallocate - void mem_free(const void *ptr) - { - if (!ptr) - return; - std::lock_guard lock(m_mutex); - auto it = get_map_iterator(ptr); - m_map.erase(it); - } - - /// map: device pointer -> allocation(buffer, alloc_ptr, size) - allocation translate_ptr(const void *ptr) - { - std::lock_guard lock(m_mutex); - auto it = get_map_iterator(ptr); - return it->second; - } - - /// Check if the pointer represents device pointer or not. - bool is_device_ptr(const void *ptr) const - { - std::lock_guard lock(m_mutex); - return (mapped_address_space <= ptr) && - (ptr < mapped_address_space + mapped_region_size); - } - - /// Returns the instance of memory manager singleton. - static mem_mgr &instance() - { - static mem_mgr m; - return m; - } - - private: - std::map m_map; - mutable std::mutex m_mutex; - byte_t *mapped_address_space; - byte_t *next_free; - const size_t mapped_region_size = 128ull * 1024 * 1024 * 1024; - const size_t alignment = 256; - /// This padding may be defined to some positive value to debug - /// out of bound accesses. - const size_t extra_padding = 0; - - std::map::iterator get_map_iterator(const void *ptr) - { - auto it = m_map.upper_bound((byte_t *)ptr); - if (it == m_map.end()) - { - // Not a virtual pointer. - throw std::runtime_error("can not get buffer from non-virtual pointer"); - } - const allocation &alloc = it->second; - if (ptr < alloc.alloc_ptr) - { - // Out of bound. - // This may happen if there's a gap between allocations due to alignment - // or extra padding and pointer points to this gap. - throw std::runtime_error("invalid virtual pointer"); - } - return it; - } - }; - - template - class accessor; - template - class memory_traits - { - public: - static constexpr sycl::access::target target = - sycl::access::target::device; - static constexpr sycl::access_mode mode = - (Memory == constant) ? sycl::access_mode::read - : sycl::access_mode::read_write; - static constexpr size_t type_size = sizeof(T); - using element_t = - typename std::conditional::type; - using value_t = typename std::remove_cv::type; - template - using accessor_t = typename std::conditional< - Memory == local, sycl::local_accessor, - sycl::accessor>::type; - using pointer_t = T *; - }; - - static inline void *dpct_malloc(size_t size, sycl::queue &q) - { - return sycl::malloc_device(size, q.get_device(), q.get_context()); - } - -#define PITCH_DEFAULT_ALIGN(x) (((x) + 31) & ~(0x1F)) - static inline void *dpct_malloc(size_t &pitch, size_t x, size_t y, size_t z, - sycl::queue &q) - { - pitch = PITCH_DEFAULT_ALIGN(x); - return dpct_malloc(pitch * y * z, q); - } - - /** - * @brief Sets \p value to the first \p size elements starting from \p dev_ptr in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] dev_ptr Pointer to the virtual device memory address. - * @param [in] value The value to be set. - * @param [in] size Number of elements to be set to the value. - * @return An event representing the memset operation. - */ - template - static inline sycl::event dpct_memset(sycl::queue &q, void *dev_ptr, - valueT value, size_t size) - { - return q.fill(dev_ptr, value, size); - } - - /** - * @brief Sets \p value to the 3D memory region pointed by \p data in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] data Pointer to the pitched device memory region. - * @param [in] value The value to be set. - * @param [in] size 3D memory region by number of elements. - * @return An event list representing the memset operations. - */ - template - static inline std::vector - dpct_memset(sycl::queue &q, pitched_data data, valueT value, - sycl::range<3> size) - { - std::vector event_list; - size_t slice = data.get_pitch() * data.get_y(); - unsigned char *data_surface = (unsigned char *)data.get_data_ptr(); - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *data_ptr = data_surface; - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memset(q, data_ptr, value, size.get(0))); - data_ptr += data.get_pitch(); - } - data_surface += slice; - } - return event_list; - } - - /** - * @brief Sets \p val to the pitched 2D memory region pointed by \p ptr in \p q. - * @tparam valueT The type of the element to be set. - * @param [in] q The queue in which the operation is done. - * @param [in] ptr Pointer to the virtual device memory. - * @param [in] pitch The pitch size by number of elements, including padding. - * @param [in] val The value to be set. - * @param [in] x The width of memory region by number of elements. - * @param [in] y The height of memory region by number of elements. - * @return An event list representing the memset operations. - */ - template - static inline std::vector - dpct_memset(sycl::queue &q, void *ptr, size_t pitch, valueT val, size_t x, - size_t y) - { - return dpct_memset(q, pitched_data(ptr, pitch, x, 1), val, - sycl::range<3>(x, y, 1)); - } - - static memcpy_direction deduce_memcpy_direction(sycl::queue &q, void *to_ptr, - const void *from_ptr, - memcpy_direction dir) - { - switch (dir) - { - case memcpy_direction::host_to_host: - case memcpy_direction::host_to_device: - case memcpy_direction::device_to_host: - case memcpy_direction::device_to_device: - return dir; - case memcpy_direction::automatic: - { - // table[to_attribute][from_attribute] - static const memcpy_direction - direction_table[static_cast(pointer_access_attribute::end)] - [static_cast(pointer_access_attribute::end)] = - {{memcpy_direction::host_to_host, - memcpy_direction::device_to_host, - memcpy_direction::host_to_host}, - {memcpy_direction::host_to_device, - memcpy_direction::device_to_device, - memcpy_direction::device_to_device}, - {memcpy_direction::host_to_host, - memcpy_direction::device_to_device, - memcpy_direction::device_to_device}}; - return direction_table[static_cast(get_pointer_attribute( - q, to_ptr))][static_cast(get_pointer_attribute(q, from_ptr))]; - } - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - } - - static sycl::event - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction, - const std::vector &dep_events = {}) - { - if (!size) - return sycl::event{}; - return q.memcpy(to_ptr, from_ptr, size, dep_events); - GGML_UNUSED(direction); - } - - // Get actual copy range and make sure it will not exceed range. - static inline size_t get_copy_range(sycl::range<3> size, size_t slice, - size_t pitch) - { - return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); - } - - static inline size_t get_offset(sycl::id<3> id, size_t slice, - size_t pitch) - { - return slice * id.get(2) + pitch * id.get(1) + id.get(0); - } - - /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr - /// and \p from_range to another specified by \p to_ptr and \p to_range. - static inline std::vector - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - sycl::range<3> to_range, sycl::range<3> from_range, - sycl::id<3> to_id, sycl::id<3> from_id, - sycl::range<3> size, memcpy_direction direction, - const std::vector &dep_events = {}) - { - // RAII for host pointer - class host_buffer - { - void *_buf; - size_t _size; - sycl::queue &_q; - const std::vector &_deps; // free operation depends - - public: - host_buffer(size_t size, sycl::queue &q, - const std::vector &deps) - : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} - void *get_ptr() const { return _buf; } - size_t get_size() const { return _size; } - ~host_buffer() - { - if (_buf) - { - _q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(_deps); - cgh.host_task([buf = _buf] { std::free(buf); }); }); - } - } - }; - std::vector event_list; - - size_t to_slice = to_range.get(1) * to_range.get(0), - from_slice = from_range.get(1) * from_range.get(0); - unsigned char *to_surface = - (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); - const unsigned char *from_surface = - (const unsigned char *)from_ptr + - get_offset(from_id, from_slice, from_range.get(0)); - - if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) - { - return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), - direction, dep_events)}; - } - direction = deduce_memcpy_direction(q, to_ptr, from_ptr, direction); - size_t size_slice = size.get(1) * size.get(0); - switch (direction) - { - case host_to_host: - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *to_ptr = to_surface; - const unsigned char *from_ptr = from_surface; - if (to_range.get(0) == from_range.get(0) && - to_range.get(0) == size.get(0)) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, - direction, dep_events)); - } - else - { - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), - direction, dep_events)); - to_ptr += to_range.get(0); - from_ptr += from_range.get(0); - } - } - to_surface += to_slice; - from_surface += from_slice; - } - break; - case host_to_device: - { - host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, - event_list); - std::vector host_events; - if (to_slice == size_slice) - { - // Copy host data to a temp host buffer with the shape of target. - host_events = - dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, - host_to_host, dep_events); - } - else - { - // Copy host data to a temp host buffer with the shape of target. - host_events = dpct_memcpy( - q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, - // If has padding data, not sure whether it is useless. So fill temp - // buffer with it. - std::vector{ - dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), - device_to_host, dep_events)}); - } - // Copy from temp host buffer to device with only one submit. - event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), - buf.get_size(), host_to_device, - host_events)); - break; - } - case device_to_host: - { - host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, - event_list); - // Copy from host temp buffer to host target with reshaping. - event_list = dpct_memcpy( - q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), - sycl::id<3>(0, 0, 0), size, host_to_host, - // Copy from device to temp host buffer with only one submit. - std::vector{dpct_memcpy(q, buf.get_ptr(), from_surface, - buf.get_size(), - device_to_host, dep_events)}); - break; - } - case device_to_device: - event_list.push_back(q.submit([&](sycl::handler &cgh){ - cgh.depends_on(dep_events); - cgh.parallel_for( - size, - [=](sycl::id<3> id) { - to_surface[get_offset(id, to_slice, to_range.get(0))] = - from_surface[get_offset(id, from_slice, from_range.get(0))]; - }); })); - break; - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - return event_list; - } - - /// memcpy 2D/3D matrix specified by pitched_data. - static inline std::vector - dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, - pitched_data from, sycl::id<3> from_id, sycl::range<3> size, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), - sycl::range<3>(to.get_pitch(), to.get_y(), 1), - sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, - size, direction); - } - - /// memcpy 2D matrix with pitch. - static inline std::vector - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - size_t to_pitch, size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), - sycl::range<3>(from_pitch, y, 1), - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), - sycl::range<3>(x, y, 1), direction); - } - - namespace deprecated - { - - template - class usm_allocator - { - private: - using Alloc = sycl::usm_allocator; - Alloc _impl; - - public: - using value_type = typename std::allocator_traits::value_type; - using pointer = typename std::allocator_traits::pointer; - using const_pointer = typename std::allocator_traits::const_pointer; - using void_pointer = typename std::allocator_traits::void_pointer; - using const_void_pointer = - typename std::allocator_traits::const_void_pointer; - using reference = typename std::allocator_traits::value_type &; - using const_reference = - const typename std::allocator_traits::value_type &; - using difference_type = - typename std::allocator_traits::difference_type; - using size_type = typename std::allocator_traits::size_type; - using propagate_on_container_copy_assignment = typename std::allocator_traits< - Alloc>::propagate_on_container_copy_assignment; - using propagate_on_container_move_assignment = typename std::allocator_traits< - Alloc>::propagate_on_container_move_assignment; - using propagate_on_container_swap = - typename std::allocator_traits::propagate_on_container_swap; - using is_always_equal = - typename std::allocator_traits::is_always_equal; - - template - struct rebind - { - typedef usm_allocator other; - }; - - usm_allocator() : _impl(dpct::get_default_queue()) {} - ~usm_allocator() {} - usm_allocator(const usm_allocator &other) : _impl(other._impl) {} - usm_allocator(usm_allocator &&other) : _impl(std::move(other._impl)) {} - pointer address(reference r) { return &r; } - const_pointer address(const_reference r) { return &r; } - pointer allocate(size_type cnt, const_void_pointer hint = nullptr) - { - return std::allocator_traits::allocate(_impl, cnt, hint); - } - void deallocate(pointer p, size_type cnt) - { - std::allocator_traits::deallocate(_impl, p, cnt); - } - size_type max_size() const - { - return std::allocator_traits::max_size(_impl); - } - bool operator==(const usm_allocator &other) const { return _impl == other._impl; } - bool operator!=(const usm_allocator &other) const { return _impl != other._impl; } - }; - - } // namespace deprecated - - inline void dpct_free(void *ptr, - const sycl::queue &q) - { - if (ptr) - { - sycl::free(ptr, q.get_context()); - } - } - - template - inline auto get_memory(const void *x) - { - T *new_x = reinterpret_cast(const_cast(x)); - return new_x; - } - - template - inline typename DataType::T2 get_value(const T *s, sycl::queue &q) - { - using Ty = typename DataType::T2; - Ty s_h; - if (get_pointer_attribute(q, s) == pointer_access_attribute::device_only) - detail::dpct_memcpy(q, (void *)&s_h, (const void *)s, sizeof(T), device_to_host) - .wait(); - else - s_h = *reinterpret_cast(s); - return s_h; - } - - } // namespace detail - - template - inline auto get_value(const T *s, sycl::queue &q) - { - return detail::get_value(s, q); - } - - namespace detail - { - template - inline void gemm_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, int lda, const void *b, - int ldb, const void *beta, void *c, int ldc) - { - Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); - auto data_a = get_memory(a); - auto data_b = get_memory(b); - auto data_c = get_memory(c); - oneapi::mkl::blas::column_major::gemm( - q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, - data_b, ldb, beta_value, data_c, ldc); - } - - template - class vectorized_binary - { - public: - inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) - { - VecT v4; - for (size_t i = 0; i < v4.size(); ++i) - { - v4[i] = binary_op(a[i], b[i]); - } - return v4; - } - }; - - template - class vectorized_binary< - VecT, BinaryOperation, - std::void_t>> - { - public: - inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) - { - return binary_op(a, b).template as(); - } - }; - - template - inline void gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void **a, int lda, - const void **b, int ldb, const void *beta, void **c, - int ldc, int batch_size) - { - struct matrix_info_t - { - oneapi::mkl::transpose transpose_info[2]; - Ts value_info[2]; - std::int64_t size_info[3]; - std::int64_t ld_info[3]; - std::int64_t groupsize_info; - }; - - Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); - - matrix_info_t *matrix_info = - (matrix_info_t *)std::malloc(sizeof(matrix_info_t)); - matrix_info->transpose_info[0] = a_trans; - matrix_info->transpose_info[1] = b_trans; - matrix_info->value_info[0] = alpha_value; - matrix_info->value_info[1] = beta_value; - matrix_info->size_info[0] = m; - matrix_info->size_info[1] = n; - matrix_info->size_info[2] = k; - matrix_info->ld_info[0] = lda; - matrix_info->ld_info[1] = ldb; - matrix_info->ld_info[2] = ldc; - matrix_info->groupsize_info = batch_size; - - sycl::event e = oneapi::mkl::blas::column_major::gemm_batch( - q, matrix_info->transpose_info, matrix_info->transpose_info + 1, - matrix_info->size_info, matrix_info->size_info + 1, - matrix_info->size_info + 2, matrix_info->value_info, - reinterpret_cast(a), matrix_info->ld_info, - reinterpret_cast(b), matrix_info->ld_info + 1, - matrix_info->value_info + 1, reinterpret_cast(c), - matrix_info->ld_info + 2, 1, &(matrix_info->groupsize_info)); - - q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(e); - cgh.host_task([=] { std::free(matrix_info); }); }); - } - - template - inline void - gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, - int k, const void *alpha, const void *a, int lda, - long long int stride_a, const void *b, int ldb, - long long int stride_b, const void *beta, void *c, - int ldc, long long int stride_c, int batch_size) - { - Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); - Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); - auto data_a = get_memory(a); - auto data_b = get_memory(b); - auto data_c = get_memory(c); - oneapi::mkl::blas::column_major::gemm_batch( - q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, - stride_a, data_b, ldb, stride_b, beta_value, - data_c, ldc, stride_c, batch_size); - } - - } // namespace detail - - template - inline unsigned vectorized_binary(unsigned a, unsigned b, - const BinaryOperation binary_op) - { - sycl::vec v0{a}, v1{b}; - auto v2 = v0.as(); - auto v3 = v1.as(); - auto v4 = - detail::vectorized_binary()(v2, v3, binary_op); - v0 = v4.template as>(); - return v0; - } - - static void async_dpct_memcpy(void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction = automatic, - sycl::queue &q = dpct::get_default_queue()) - { - detail::dpct_memcpy(q, to_ptr, from_ptr, size, direction); - } - - static inline unsigned int select_device(unsigned int id) - { - dev_mgr::instance().select_device(id); - return id; - } - - template - T permute_sub_group_by_xor(sycl::sub_group g, T x, unsigned int mask, - unsigned int logical_sub_group_size = 32) - { - unsigned int id = g.get_local_linear_id(); - unsigned int start_index = - id / logical_sub_group_size * logical_sub_group_size; - unsigned int target_offset = (id % logical_sub_group_size) ^ mask; - return sycl::select_from_group(g, x, - target_offset < logical_sub_group_size - ? start_index + target_offset - : id); - } - - template - sycl::vec extract_and_sign_or_zero_extend4(T val) - { - return sycl::vec(val) - .template as, int8_t, uint8_t>, 4>>() - .template convert(); - } - - template - using dot_product_acc_t = - std::conditional_t && std::is_unsigned_v, - uint32_t, int32_t>; - - template - inline auto dp4a(T1 a, T2 b, T3 c) - { - dot_product_acc_t res = c; - auto va = extract_and_sign_or_zero_extend4(a); - auto vb = extract_and_sign_or_zero_extend4(b); - res += va[0] * vb[0]; - res += va[1] * vb[1]; - res += va[2] * vb[2]; - res += va[3] * vb[3]; - return res; - } - - struct sub_sat - { - template - auto operator()(const T x, const T y) const - { - return sycl::sub_sat(x, y); - } - }; - - template - inline T vectorized_min(T a, T b) - { - sycl::vec v0{a}, v1{b}; - auto v2 = v0.template as(); - auto v3 = v1.template as(); - auto v4 = sycl::min(v2, v3); - v0 = v4.template as>(); - return v0; - } - - inline float pow(const float a, const int b) { return sycl::pown(a, b); } - inline double pow(const double a, const int b) { return sycl::pown(a, b); } - inline float pow(const float a, const float b) { return sycl::pow(a, b); } - inline double pow(const double a, const double b) { return sycl::pow(a, b); } - template - inline typename std::enable_if_t, T> - pow(const T a, const U b) - { - return sycl::pow(a, static_cast(b)); - } - template - inline typename std::enable_if_t, double> - pow(const T a, const U b) - { - return sycl::pow(static_cast(a), static_cast(b)); - } - - inline double min(const double a, const float b) - { - return sycl::fmin(a, static_cast(b)); - } - inline double min(const float a, const double b) - { - return sycl::fmin(static_cast(a), b); - } - inline float min(const float a, const float b) { return sycl::fmin(a, b); } - inline double min(const double a, const double b) { return sycl::fmin(a, b); } - inline std::uint32_t min(const std::uint32_t a, const std::int32_t b) - { - return sycl::min(a, static_cast(b)); - } - inline std::uint32_t min(const std::int32_t a, const std::uint32_t b) - { - return sycl::min(static_cast(a), b); - } - inline std::int32_t min(const std::int32_t a, const std::int32_t b) - { - return sycl::min(a, b); - } - inline std::uint32_t min(const std::uint32_t a, const std::uint32_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::int64_t b) - { - return sycl::min(a, static_cast(b)); - } - inline std::uint64_t min(const std::int64_t a, const std::uint64_t b) - { - return sycl::min(static_cast(a), b); - } - inline std::int64_t min(const std::int64_t a, const std::int64_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::uint64_t b) - { - return sycl::min(a, b); - } - inline std::uint64_t min(const std::uint64_t a, const std::int32_t b) - { - return sycl::min(a, static_cast(b)); - } - inline std::uint64_t min(const std::int32_t a, const std::uint64_t b) - { - return sycl::min(static_cast(a), b); - } - inline std::uint64_t min(const std::uint64_t a, const std::uint32_t b) - { - return sycl::min(a, static_cast(b)); - } - inline std::uint64_t min(const std::uint32_t a, const std::uint64_t b) - { - return sycl::min(static_cast(a), b); - } - // max function overloads. - // For floating-point types, `float` or `double` arguments are acceptable. - // For integer types, `std::uint32_t`, `std::int32_t`, `std::uint64_t` or - // `std::int64_t` type arguments are acceptable. - inline double max(const double a, const float b) - { - return sycl::fmax(a, static_cast(b)); - } - inline double max(const float a, const double b) - { - return sycl::fmax(static_cast(a), b); - } - inline float max(const float a, const float b) { return sycl::fmax(a, b); } - inline double max(const double a, const double b) { return sycl::fmax(a, b); } - inline std::uint32_t max(const std::uint32_t a, const std::int32_t b) - { - return sycl::max(a, static_cast(b)); - } - inline std::uint32_t max(const std::int32_t a, const std::uint32_t b) - { - return sycl::max(static_cast(a), b); - } - inline std::int32_t max(const std::int32_t a, const std::int32_t b) - { - return sycl::max(a, b); - } - inline std::uint32_t max(const std::uint32_t a, const std::uint32_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::int64_t b) - { - return sycl::max(a, static_cast(b)); - } - inline std::uint64_t max(const std::int64_t a, const std::uint64_t b) - { - return sycl::max(static_cast(a), b); - } - inline std::int64_t max(const std::int64_t a, const std::int64_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::uint64_t b) - { - return sycl::max(a, b); - } - inline std::uint64_t max(const std::uint64_t a, const std::int32_t b) - { - return sycl::max(a, static_cast(b)); - } - inline std::uint64_t max(const std::int32_t a, const std::uint64_t b) - { - return sycl::max(static_cast(a), b); - } - inline std::uint64_t max(const std::uint64_t a, const std::uint32_t b) - { - return sycl::max(a, static_cast(b)); - } - inline std::uint64_t max(const std::uint32_t a, const std::uint64_t b) - { - return sycl::max(static_cast(a), b); - } - - inline void - has_capability_or_fail(const sycl::device &dev, - const std::initializer_list &props) - { - for (const auto &it : props) - { - if (dev.has(it)) - continue; - switch (it) - { - case sycl::aspect::fp64: - throw std::runtime_error("'double' is not supported in '" + - dev.get_info() + - "' device"); - break; - case sycl::aspect::fp16: - throw std::runtime_error("'half' is not supported in '" + - dev.get_info() + - "' device"); - break; - default: -#define __SYCL_ASPECT(ASPECT, ID) \ - case sycl::aspect::ASPECT: \ - return #ASPECT; -#define __SYCL_ASPECT_DEPRECATED(ASPECT, ID, MESSAGE) __SYCL_ASPECT(ASPECT, ID) -#define __SYCL_ASPECT_DEPRECATED_ALIAS(ASPECT, ID, MESSAGE) - auto getAspectNameStr = [](sycl::aspect AspectNum) -> std::string - { - switch (AspectNum) - { -#include -#include - default: - return "unknown aspect"; - } - }; -#undef __SYCL_ASPECT_DEPRECATED_ALIAS -#undef __SYCL_ASPECT_DEPRECATED -#undef __SYCL_ASPECT - throw std::runtime_error( - "'" + getAspectNameStr(it) + "' is not supported in '" + - dev.get_info() + "' device"); - } - break; - } - } - - static inline unsigned int get_current_device_id() - { - return dev_mgr::instance().current_device_id(); - } - - static inline device_ext &get_current_device() - { - return dev_mgr::instance().current_device(); - } - - static inline sycl::queue &get_in_order_queue() - { - return dev_mgr::instance().current_device().in_order_queue(); - } - - static sycl::event - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, - memcpy_direction direction, - const std::vector &dep_events = {}) - { - if (!size) - return sycl::event{}; - return q.memcpy(to_ptr, from_ptr, size, dep_events); - GGML_UNUSED(direction); - } - - // Get actual copy range and make sure it will not exceed range. - static inline size_t get_copy_range(sycl::range<3> size, size_t slice, - size_t pitch) - { - return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); - } - - static inline size_t get_offset(sycl::id<3> id, size_t slice, - size_t pitch) - { - return slice * id.get(2) + pitch * id.get(1) + id.get(0); - } - - /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr - /// and \p from_range to another specified by \p to_ptr and \p to_range. - static inline std::vector - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - sycl::range<3> to_range, sycl::range<3> from_range, - sycl::id<3> to_id, sycl::id<3> from_id, - sycl::range<3> size, memcpy_direction direction, - const std::vector &dep_events = {}) - { - // RAII for host pointer - class host_buffer - { - void *_buf; - size_t _size; - sycl::queue &_q; - const std::vector &_deps; // free operation depends - - public: - host_buffer(size_t size, sycl::queue &q, - const std::vector &deps) - : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} - void *get_ptr() const { return _buf; } - size_t get_size() const { return _size; } - ~host_buffer() - { - if (_buf) - { - _q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(_deps); - cgh.host_task([buf = _buf] { std::free(buf); }); }); - } - } - }; - std::vector event_list; - - size_t to_slice = to_range.get(1) * to_range.get(0), - from_slice = from_range.get(1) * from_range.get(0); - unsigned char *to_surface = - (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); - const unsigned char *from_surface = - (const unsigned char *)from_ptr + - get_offset(from_id, from_slice, from_range.get(0)); - - if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) - { - return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), - direction, dep_events)}; - } - direction = detail::deduce_memcpy_direction(q, to_ptr, from_ptr, direction); - size_t size_slice = size.get(1) * size.get(0); - switch (direction) - { - case host_to_host: - for (size_t z = 0; z < size.get(2); ++z) - { - unsigned char *to_ptr = to_surface; - const unsigned char *from_ptr = from_surface; - if (to_range.get(0) == from_range.get(0) && - to_range.get(0) == size.get(0)) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, - direction, dep_events)); - } - else - { - for (size_t y = 0; y < size.get(1); ++y) - { - event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), - direction, dep_events)); - to_ptr += to_range.get(0); - from_ptr += from_range.get(0); - } - } - to_surface += to_slice; - from_surface += from_slice; - } - break; - case host_to_device: - { - host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, - event_list); - std::vector host_events; - if (to_slice == size_slice) - { - // Copy host data to a temp host buffer with the shape of target. - host_events = - dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, - host_to_host, dep_events); - } - else - { - // Copy host data to a temp host buffer with the shape of target. - host_events = dpct_memcpy( - q, buf.get_ptr(), from_surface, to_range, from_range, - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, - // If has padding data, not sure whether it is useless. So fill temp - // buffer with it. - std::vector{ - dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), - device_to_host, dep_events)}); - } - // Copy from temp host buffer to device with only one submit. - event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), - buf.get_size(), host_to_device, - host_events)); - break; - } - case device_to_host: - { - host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, - event_list); - // Copy from host temp buffer to host target with reshaping. - event_list = dpct_memcpy( - q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), - sycl::id<3>(0, 0, 0), size, host_to_host, - // Copy from device to temp host buffer with only one submit. - std::vector{dpct_memcpy(q, buf.get_ptr(), from_surface, - buf.get_size(), - device_to_host, dep_events)}); - break; - } - case device_to_device: - event_list.push_back(q.submit([&](sycl::handler &cgh) - { - cgh.depends_on(dep_events); - cgh.parallel_for( - size, - [=](sycl::id<3> id) { - to_surface[get_offset(id, to_slice, to_range.get(0))] = - from_surface[get_offset(id, from_slice, from_range.get(0))]; - }); })); - break; - default: - throw std::runtime_error("dpct_memcpy: invalid direction value"); - } - return event_list; - } - - /// memcpy 2D/3D matrix specified by pitched_data. - static inline std::vector - dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, - pitched_data from, sycl::id<3> from_id, sycl::range<3> size, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), - sycl::range<3>(to.get_pitch(), to.get_y(), 1), - sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, - size, direction); - } - - /// memcpy 2D matrix with pitch. - static inline std::vector - dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, - size_t to_pitch, size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic) - { - return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), - sycl::range<3>(from_pitch, y, 1), - sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), - sycl::range<3>(x, y, 1), direction); - } - - inline void gemm(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, library_data_t a_type, - int lda, const void *b, library_data_t b_type, int ldb, - const void *beta, void *c, library_data_t c_type, int ldc, - library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_impl(q, a_trans, b_trans, m, n, k, alpha, a, - lda, b, ldb, beta, c, ldc); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, b, - ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_impl(q, a_trans, b_trans, m, n, k, &alpha_half, - a, lda, b, ldb, &beta_half, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - float alpha_float = - dpct::get_value(reinterpret_cast(alpha), q); - float beta_float = - dpct::get_value(reinterpret_cast(beta), q); - detail::gemm_impl( - q, a_trans, b_trans, m, n, k, &alpha_float, a, lda, b, ldb, &beta_float, c, ldc); - break; - } -#endif // __INTEL_MKL__ - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } // gemm() - - /// Computes a batch of matrix-matrix product with general matrices. - /// \param [in] q The queue where the routine should be executed. - /// \param [in] a_trans Specifies the operation applied to A. - /// \param [in] b_trans Specifies the operation applied to B. - /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. - /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. - /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). - /// \param [in] alpha Scaling factor for the matrix-matrix product. - /// \param [in] a Input matrix A. - /// \param [in] a_type Data type of the matrix A. - /// \param [in] lda Leading dimension of A. - /// \param [in] b Input matrix B. - /// \param [in] b_type Data type of the matrix B. - /// \param [in] ldb Leading dimension of B. - /// \param [in] beta Scaling factor for matrix C. - /// \param [in, out] c Input/Output matrix C. - /// \param [in] c_type Data type of the matrix C. - /// \param [in] ldc Leading dimension of C. - /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. - /// \param [in] scaling_type Data type of the scaling factors. - inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a[], - library_data_t a_type, int lda, const void *b[], - library_data_t b_type, int ldb, const void *beta, - void *c[], library_data_t c_type, int ldc, - int batch_size, library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_batch_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_batch_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, - a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, - b, ldb, beta, c, ldc, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - float alpha_float = - dpct::get_value(reinterpret_cast(alpha), q); - float beta_float = - dpct::get_value(reinterpret_cast(beta), q); - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, &alpha_float, - a, lda, b, ldb, &beta_float, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, - batch_size); - break; - } -#endif - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, b, ldb, &beta_half, c, ldc, - batch_size); - break; - } - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } - - /// Computes a batch of matrix-matrix product with general matrices. - /// \param [in] q The queue where the routine should be executed. - /// \param [in] a_trans Specifies the operation applied to A. - /// \param [in] b_trans Specifies the operation applied to B. - /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. - /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. - /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). - /// \param [in] alpha Scaling factor for the matrix-matrix product. - /// \param [in] a Input matrix A. - /// \param [in] a_type Data type of the matrix A. - /// \param [in] lda Leading dimension of A. - /// \param [in] stride_a Stride between the different A matrices. - /// \param [in] b Input matrix B. - /// \param [in] b_type Data type of the matrix B. - /// \param [in] ldb Leading dimension of B. - /// \param [in] stride_b Stride between the different B matrices. - /// \param [in] beta Scaling factor for matrix C. - /// \param [in, out] c Input/Output matrix C. - /// \param [in] c_type Data type of the matrix C. - /// \param [in] ldc Leading dimension of C. - /// \param [in] stride_c Stride between the different C matrices. - /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. - /// \param [in] scaling_type Data type of the scaling factors. - inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, - oneapi::mkl::transpose b_trans, int m, int n, int k, - const void *alpha, const void *a, library_data_t a_type, - int lda, long long int stride_a, const void *b, - library_data_t b_type, int ldb, long long int stride_b, - const void *beta, void *c, library_data_t c_type, - int ldc, long long int stride_c, int batch_size, - library_data_t scaling_type) - { - if (scaling_type == library_data_t::real_float && - c_type == library_data_t::complex_float) - { - scaling_type = library_data_t::complex_float; - } - else if (scaling_type == library_data_t::real_double && - c_type == library_data_t::complex_double) - { - scaling_type = library_data_t::complex_double; - } - - std::uint64_t key = - detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); - switch (key) - { - case detail::get_type_combination_id( - library_data_t::real_float, library_data_t::real_float, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_double, library_data_t::real_double, - library_data_t::real_double, library_data_t::real_double): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_float, library_data_t::complex_float, - library_data_t::complex_float, library_data_t::complex_float): - { - detail::gemm_batch_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::complex_double, library_data_t::complex_double, - library_data_t::complex_double, library_data_t::complex_double): - { - detail::gemm_batch_impl, std::complex, - std::complex, std::complex>( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_half): - { - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, - a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } -#ifdef __INTEL_MKL__ - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_bfloat16, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_bfloat16, library_data_t::real_bfloat16, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, - stride_a, b, ldb, stride_b, beta, c, ldc, - stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_int32, library_data_t::real_int32): - { - detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, - a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_int8, library_data_t::real_int8, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_float, library_data_t::real_float): - { - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, - beta, c, ldc, stride_c, batch_size); - break; - } -#endif - case detail::get_type_combination_id( - library_data_t::real_half, library_data_t::real_half, - library_data_t::real_half, library_data_t::real_float): - { - float alpha_value = - dpct::get_value(reinterpret_cast(alpha), q); - float beta_value = - dpct::get_value(reinterpret_cast(beta), q); - sycl::half alpha_half(alpha_value); - sycl::half beta_half(beta_value); - detail::gemm_batch_impl( - q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, stride_a, b, ldb, stride_b, - &beta_half, c, ldc, stride_c, batch_size); - break; - } - default: - throw std::runtime_error("the combination of data type is unsupported"); - } - } - - static inline void - async_dpct_memcpy(void *to_ptr, size_t to_pitch, const void *from_ptr, - size_t from_pitch, size_t x, size_t y, - memcpy_direction direction = automatic, - sycl::queue &q = get_default_queue()) - { - detail::dpct_memcpy(q, to_ptr, from_ptr, to_pitch, from_pitch, x, y, - direction); - } - - using err0 = detail::generic_error_type; - using err1 = detail::generic_error_type; - - static inline void dpct_free(void *ptr, sycl::queue &q = get_default_queue()) { - detail::dpct_free(ptr, q); - } - - /// dpct accessor used as device function parameter. - template class accessor; - template class accessor { - public: - using memory_t = detail::memory_traits; - using element_t = typename memory_t::element_t; - using pointer_t = typename memory_t::pointer_t; - using accessor_t = typename memory_t::template accessor_t<3>; - accessor(pointer_t data, const sycl::range<3> &in_range) - : _data(data), _range(in_range) {} - template - accessor(typename std::enable_if::type &acc) - : accessor(acc, acc.get_range()) {} - accessor(const accessor_t &acc, const sycl::range<3> &in_range) - : accessor(acc.get_pointer(), in_range) {} - accessor operator[](size_t index) const { - sycl::range<2> sub(_range.get(1), _range.get(2)); - return accessor(_data + index * sub.size(), sub); - } - - pointer_t get_ptr() const { return _data; } - - private: - pointer_t _data; - sycl::range<3> _range; - }; - template class accessor { - public: - using memory_t = detail::memory_traits; - using element_t = typename memory_t::element_t; - using pointer_t = typename memory_t::pointer_t; - using accessor_t = typename memory_t::template accessor_t<2>; - accessor(pointer_t data, const sycl::range<2> &in_range) - : _data(data), _range(in_range) {} - template - accessor(typename std::enable_if::type &acc) - : accessor(acc, acc.get_range()) {} - accessor(const accessor_t &acc, const sycl::range<2> &in_range) - : accessor(acc.get_pointer(), in_range) {} - - pointer_t operator[](size_t index) const { - return _data + _range.get(1) * index; - } - - pointer_t get_ptr() const { return _data; } - - private: - pointer_t _data; - sycl::range<2> _range; - }; - - namespace detail { - /// Device variable with address space of shared, global or constant. - template class device_memory { - public: - using accessor_t = - typename detail::memory_traits::template accessor_t; - using value_t = typename detail::memory_traits::value_t; - using dpct_accessor_t = dpct::accessor; - - device_memory() : device_memory(sycl::range(1)) {} - - /// Constructor of 1-D array with initializer list - device_memory(const sycl::range &in_range, - std::initializer_list &&init_list) - : device_memory(in_range) { - assert(init_list.size() <= in_range.size()); - _host_ptr = (value_t *)std::malloc(_size); - std::memset(_host_ptr, 0, _size); - std::memcpy(_host_ptr, init_list.begin(), init_list.size() * sizeof(T)); - } - - /// Constructor of 2-D array with initializer list - template - device_memory( - const typename std::enable_if>::type &in_range, - std::initializer_list> &&init_list) - : device_memory(in_range) { - assert(init_list.size() <= in_range[0]); - _host_ptr = (value_t *)std::malloc(_size); - std::memset(_host_ptr, 0, _size); - auto tmp_data = _host_ptr; - for (auto sub_list : init_list) { - assert(sub_list.size() <= in_range[1]); - std::memcpy(tmp_data, sub_list.begin(), - sub_list.size() * sizeof(T)); - tmp_data += in_range[1]; - } - } - - /// Constructor with range - device_memory(const sycl::range &range_in) - : _size(range_in.size() * sizeof(T)), _range(range_in), - _reference(false), _host_ptr(nullptr), _device_ptr(nullptr) { - static_assert( - (Memory == global) || (Memory == constant) || (Memory == shared), - "device memory region should be global, constant or shared"); - // Make sure that singleton class mem_mgr and dev_mgr will destruct - // later than this. - detail::mem_mgr::instance(); - dev_mgr::instance(); - } - - /// Constructor with range - template - device_memory(Args... Arguments) - : device_memory(sycl::range(Arguments...)) {} - - ~device_memory() { - if (_device_ptr && !_reference) - dpct::dpct_free(_device_ptr); - if (_host_ptr) - std::free(_host_ptr); - } - - /// Allocate memory with default queue, and init memory if has initial - /// value. - void init() { init(dpct::get_default_queue()); } - /// Allocate memory with specified queue, and init memory if has initial - /// value. - void init(sycl::queue &q) { - if (_device_ptr) - return; - if (!_size) - return; - allocate_device(q); - if (_host_ptr) - detail::dpct_memcpy(q, _device_ptr, _host_ptr, _size, - host_to_device); - } - - /// The variable is assigned to a device pointer. - void assign(value_t *src, size_t size) { - this->~device_memory(); - new (this) device_memory(src, size); - } - - /// Get memory pointer of the memory object, which is virtual pointer when - /// usm is not used, and device pointer when usm is used. - value_t *get_ptr() { return get_ptr(get_default_queue()); } - /// Get memory pointer of the memory object, which is virtual pointer when - /// usm is not used, and device pointer when usm is used. - value_t *get_ptr(sycl::queue &q) { - init(q); - return _device_ptr; - } - - /// Get the device memory object size in bytes. - size_t get_size() { return _size; } - - template - typename std::enable_if::type &operator[](size_t index) { - init(); - return _device_ptr[index]; - } - - /// Get dpct::accessor with dimension info for the device memory object - /// when usm is used and dimension is greater than 1. - template - typename std::enable_if::type - get_access(sycl::handler &cgh) { - return dpct_accessor_t((T *)_device_ptr, _range); - } - - private: - device_memory(value_t *memory_ptr, size_t size) - : _size(size), _range(size / sizeof(T)), _reference(true), - _device_ptr(memory_ptr) {} - - void allocate_device(sycl::queue &q) { - #ifndef DPCT_USM_LEVEL_NONE - if (Memory == shared) { - _device_ptr = (value_t *)sycl::malloc_shared(_size, q.get_device(), - q.get_context()); - return; - } - #ifdef SYCL_EXT_ONEAPI_USM_DEVICE_READ_ONLY - if (Memory == constant) { - _device_ptr = (value_t *)sycl::malloc_device( - _size, q.get_device(), q.get_context(), - sycl::ext::oneapi::property::usm::device_read_only()); - return; - } - #endif - #endif - _device_ptr = (value_t *)detail::dpct_malloc(_size, q); - } - - size_t _size; - sycl::range _range; - bool _reference; - value_t *_host_ptr; - value_t *_device_ptr; - }; - template - class device_memory : public device_memory { - public: - using base = device_memory; - using value_t = typename base::value_t; - using accessor_t = - typename detail::memory_traits::template accessor_t<0>; - - /// Constructor with initial value. - device_memory(const value_t &val) : base(sycl::range<1>(1), {val}) {} - - /// Default constructor - device_memory() : base(1) {} - }; - } // namespace detail - - template - using global_memory = detail::device_memory; - template - using constant_memory = detail::device_memory; - template - using shared_memory = detail::device_memory; - - - template - inline T atomic_fetch_add(T *addr, T operand) { - auto atm = - sycl::atomic_ref(addr[0]); - return atm.fetch_add(operand); - } - - template - inline T1 atomic_fetch_add(T1 *addr, T2 operand) { - auto atm = - sycl::atomic_ref(addr[0]); - return atm.fetch_add(operand); - } - - template - inline T atomic_fetch_add(T *addr, T operand, - sycl::memory_order memoryOrder) { - switch (memoryOrder) { - case sycl::memory_order::relaxed: - return atomic_fetch_add(addr, operand); - case sycl::memory_order::acq_rel: - return atomic_fetch_add(addr, operand); - case sycl::memory_order::seq_cst: - return atomic_fetch_add(addr, operand); - default: - assert(false && "Invalid memory_order for atomics. Valid memory_order for " - "atomics are: sycl::memory_order::relaxed, " - "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!"); - } - } - - template - inline T1 atomic_fetch_add(T1 *addr, T2 operand, - sycl::memory_order memoryOrder) { - atomic_fetch_add(addr, operand, memoryOrder); - } - -} // COPY from DPCT head files - -#define GGML_COMMON_DECL_SYCL -#define GGML_COMMON_IMPL_SYCL -#include "ggml-common.h" - -static int g_ggml_sycl_debug=0; -#define GGML_SYCL_DEBUG(...) do{if(g_ggml_sycl_debug) fprintf(stderr, __VA_ARGS__);}while(0) - -#define CHECK_TRY_ERROR(expr) \ - [&]() { \ - try { \ - expr; \ - return dpct::success; \ - } catch (std::exception const &e) { \ - std::cerr << e.what()<< "\nException caught at file:" << __FILE__ \ - << ", line:" << __LINE__ <<", func:"<<__func__<< std::endl; \ - return dpct::default_error; \ - } \ - }() - -// #define DEBUG_SYCL_MALLOC - -static int g_work_group_size = 0; -// typedef sycl::half ggml_fp16_t; - -#define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP -#define VER_4VEC 130 //todo for hardward optimize. -#define VER_GEN9 700 //todo for hardward optimize. -#define VER_GEN12 1000000 //todo for hardward optimize. -#define VER_GEN13 (VER_GEN12 + 1030) //todo for hardward optimize. - -#define GGML_SYCL_MAX_NODES 8192 //TODO: adapt to hardwares - -#if !defined(GGML_SYCL_FORCE_MMQ) - #define SYCL_USE_XMX -#endif - -// max batch size to use MMQ kernels when tensor cores are available -#define MMQ_MAX_BATCH_SIZE 32 - - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -// dmmv = dequantize_mul_mat_vec -#ifndef GGML_SYCL_DMMV_X -#define GGML_SYCL_DMMV_X 32 -#endif -#ifndef GGML_SYCL_MMV_Y -#define GGML_SYCL_MMV_Y 1 -#endif - -enum ggml_sycl_backend_gpu_mode { - SYCL_UNSET_GPU_MODE = -1, - SYCL_SINGLE_GPU_MODE = 0, - SYCL_MUL_GPU_MODE -}; - -static_assert(sizeof(sycl::half) == sizeof(ggml_fp16_t), "wrong fp16 size"); - -static void crash(){ - int *ptr = NULL; - *ptr = 0; -} - -static void ggml_sycl_error(const char * stmt, const char * func, const char * file, const int line, const char * msg) { - fprintf(stderr, "SYCL error: %s: %s\n", stmt, msg); - fprintf(stderr, " in function %s at %s:%d\n", func, file, line); - GGML_ASSERT(!"SYCL error"); -} - -#define SYCL_CHECK(err) do { \ - auto err_ = (err); if (err_ != 0) ggml_sycl_error( \ - #err, __func__, __FILE__, __LINE__, \ - "Meet error in this line code!"); \ -} while (0) - -#if DPCT_COMPAT_RT_VERSION >= 11100 -#define GGML_SYCL_ASSUME(x) __builtin_assume(x) -#else -#define GGML_SYCL_ASSUME(x) -#endif // DPCT_COMPAT_RT_VERSION >= 11100 - -#ifdef GGML_SYCL_F16 -typedef sycl::half dfloat; // dequantize float -typedef sycl::half2 dfloat2; -#else -typedef float dfloat; // dequantize float -typedef sycl::float2 dfloat2; -#endif //GGML_SYCL_F16 - -#define MMVQ_MAX_BATCH_SIZE 8 - -static const int8_t kvalues_iq4nl[16]={-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113}; - bool ggml_sycl_loaded(void); -void * ggml_sycl_host_malloc(size_t size); -void ggml_sycl_host_free(void * ptr); -bool ggml_sycl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); 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); @@ -3109,10 +98,7 @@ 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); -int get_main_device(); static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer); -void print_ggml_tensor(const char*name, struct ggml_tensor *src); -void log_tensor_with_cnt(const char* name, struct ggml_tensor * src, int stop_cnt); void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst, const void *ptr_src, size_t size) { @@ -3155,25 +141,26 @@ static __dpct_inline__ int get_int_from_uint8_aligned(const uint8_t *x8, template using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y, - int k, dpct::queue_ptr stream); + 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)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); +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)( + 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); -typedef void (*ggml_sycl_op_flatten_t)(const ggml_tensor *src0, + const queue_ptr &stream); +typedef void (*ggml_sycl_op_flatten_t)(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream); + 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, @@ -3191,387 +178,6 @@ typedef float (*vec_dot_q_mul_mat_sycl_t)( const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ms, const int &i, const int &j, const int &k); -#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 - -#define SYCL_GELU_BLOCK_SIZE 256 -#define SYCL_SILU_BLOCK_SIZE 256 -#define SYCL_TANH_BLOCK_SIZE 256 -#define SYCL_RELU_BLOCK_SIZE 256 -#define SYCL_HARDSIGMOID_BLOCK_SIZE 256 -#define SYCL_HARDSWISH_BLOCK_SIZE 256 -#define SYCL_SQR_BLOCK_SIZE 256 -#define SYCL_CPY_BLOCK_SIZE 32 -#define SYCL_SCALE_BLOCK_SIZE 256 -#define SYCL_CLAMP_BLOCK_SIZE 256 -#define SYCL_ROPE_BLOCK_SIZE 256 -#define SYCL_DIAG_MASK_INF_BLOCK_SIZE 32 -#define SYCL_QUANTIZE_BLOCK_SIZE 256 -#define SYCL_DEQUANTIZE_BLOCK_SIZE 256 -#define SYCL_GET_ROWS_BLOCK_SIZE 256 -#define SYCL_UPSCALE_BLOCK_SIZE 256 -#define SYCL_CONCAT_BLOCK_SIZE 256 -#define SYCL_PAD_BLOCK_SIZE 256 -#define SYCL_ACC_BLOCK_SIZE 256 -#define SYCL_IM2COL_BLOCK_SIZE 256 -#define SYCL_POOL2D_BLOCK_SIZE 256 - -// dmmv = dequantize_mul_mat_vec -#ifndef GGML_SYCL_DMMV_X -#define GGML_SYCL_DMMV_X 32 -#endif -#ifndef GGML_SYCL_MMV_Y -#define GGML_SYCL_MMV_Y 1 -#endif - -#ifndef K_QUANTS_PER_ITERATION -#define K_QUANTS_PER_ITERATION 2 -#else -static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2"); -#endif - -#ifndef GGML_SYCL_PEER_MAX_BATCH_SIZE -#define GGML_SYCL_PEER_MAX_BATCH_SIZE 128 -#endif // GGML_SYCL_PEER_MAX_BATCH_SIZE - -#define MUL_MAT_SRC1_COL_STRIDE 128 - -#define MAX_STREAMS 8 -static dpct::queue_ptr g_syclStreams[GGML_SYCL_MAX_DEVICES][MAX_STREAMS] = {{0}}; - -struct ggml_tensor_extra_gpu { - void * data_device[GGML_SYCL_MAX_DEVICES]; // 1 pointer for each device for split tensors - dpct::event_ptr - events[GGML_SYCL_MAX_DEVICES] - [MAX_STREAMS]; // events for synchronizing multiple GPUs -}; - -class sycl_gpu_mgr { - public: - std::vector gpus; - std::vector devices; - sycl::queue *first_queue; - sycl::context co_ctx; - int max_compute_units = 0; - int work_group_size = 0; - std::string gpus_list = ""; - - /* - Use all GPUs with same top max compute units - */ - sycl_gpu_mgr() { - detect_sycl_gpu_list_with_max_cu(); - get_allow_gpus(); - create_context_with_gpus(); - } - - /* - Only use the assigned GPU - */ - sycl_gpu_mgr(int main_gpu_id) { - sycl::device device = dpct::dev_mgr::instance().get_device(main_gpu_id); - dpct::device_info prop; - dpct::get_device_info(prop, device); - gpus.push_back(main_gpu_id); - devices.push_back(device); - work_group_size = prop.get_max_work_group_size(); - max_compute_units = prop.get_max_compute_units(); - - get_allow_gpus(); - create_context_with_gpus(); - } - - void create_context_with_gpus() { - sycl::context ctx = sycl::context(devices); - assert(gpus.size() > 0); - first_queue = dpct::get_current_device().create_queue(ctx, devices[0]); - co_ctx = first_queue->get_context(); - } - - sycl::context &get_co_ctx() { return co_ctx; } - - void get_allow_gpus() { - gpus_list = ""; - for (size_t i = 0; i < gpus.size(); ++i) { - gpus_list += std::to_string(gpus[i]); - gpus_list += ","; - } - if (gpus_list.length() > 1) { - gpus_list.pop_back(); - } - } - - bool is_allowed_gpu(int device_id) { - return std::find(gpus.begin(), gpus.end(), device_id) != gpus.end(); - } - - void detect_sycl_gpu_list_with_max_cu() try { - int device_count = dpct::dev_mgr::instance().device_count(); - - for (int id = 0; id < device_count; id++) { - sycl::device device = dpct::dev_mgr::instance().get_device(id); - if (!device.is_gpu()) - continue; - dpct::device_info prop; - dpct::get_device_info(prop, device); - if (max_compute_units < prop.get_max_compute_units()) - max_compute_units = prop.get_max_compute_units(); - } - - for (int id = 0; id < device_count; id++) { - sycl::device device = dpct::dev_mgr::instance().get_device(id); - if (!device.is_gpu()) - continue; - dpct::device_info prop; - dpct::get_device_info(prop, device); - if (max_compute_units == prop.get_max_compute_units() && - is_ext_oneapi_device(device)) { - gpus.push_back(id); - devices.push_back(device); - work_group_size = prop.get_max_work_group_size(); - } - } - return; - } catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); - } - - int get_gpu_count() { return (int)gpus.size(); } - - int get_index(int id) { - for (int i = 0; i < (int)gpus.size(); i++) { - if (gpus[i] == id) - return i; - } - printf("miss to get device index by id=%d\n", id); - GGML_ASSERT(false); - } - - int get_next_index(int id) { - int cur_index = get_index(id); - for (int i = cur_index + 1; i < (int)gpus.size(); i++) { - if (gpus[i] == id) - return i; - } - GGML_ASSERT(false); - } - - bool is_ext_oneapi_device(const sycl::device &dev) { - sycl::backend dev_backend = dev.get_backend(); - if (dev_backend == sycl::backend::ext_oneapi_level_zero || - dev_backend == sycl::backend::ext_oneapi_cuda || - dev_backend == sycl::backend::ext_oneapi_hip) - return true; - return false; - } -}; - -static sycl_gpu_mgr *g_sycl_gpu_mgr = NULL; -static int g_device_count = -1; -static int g_all_sycl_device_count = -1; -static int g_main_device = -1; -static int g_main_device_id = -1; -static bool g_ggml_backend_sycl_buffer_type_initialized = false; - -static std::array g_default_tensor_split = {}; - -static float g_tensor_split[GGML_SYCL_MAX_DEVICES] = {0}; - -static ggml_sycl_backend_gpu_mode g_ggml_sycl_backend_gpu_mode = SYCL_UNSET_GPU_MODE; - -struct sycl_device_capabilities { - int cc; // compute capability - bool vmm; // virtual memory support - size_t vmm_granularity; // granularity of virtual memory - int device_id; -}; - -static sycl_device_capabilities g_device_caps[GGML_SYCL_MAX_DEVICES] = { {0, false, 0, -1} }; - -struct sycl_device_id2index { - int index; -}; - -static void * g_scratch_buffer = nullptr; -static size_t g_scratch_size = 0; // disabled by default -static size_t g_scratch_offset = 0; - -static dpct::queue_ptr g_sycl_handles[GGML_SYCL_MAX_DEVICES] = {nullptr}; - -int get_main_device(){ - return g_main_device; -} - -[[noreturn]] -static void bad_arch(const sycl::stream &stream_ct1) { - stream_ct1 << "ERROR: ggml-sycl was compiled without support for the " - "current GPU architecture.\n"; - // __trap(); - std::exit(1); - - (void) bad_arch; // suppress unused function warning -} - -/* -device_index: device index from 0 to n (continue numbers). - It is used for device select/set in SYCL backend internal data structure. -*/ -void check_allow_gpu_index(const int device_index) { - if (device_index >= g_device_count) { - char error_buf[256]; - snprintf(error_buf, sizeof(error_buf), - "%s error: device_index:%d is out of range: [0-%d]", __func__, - device_index, g_device_count - 1); - fprintf(stderr, "%s\n", error_buf); - assert(false); - } -} - -/* -device_id: device ID is shown by ggml_backend_sycl_print_sycl_devices(). - It is only used to set current working device. -*/ -void check_allow_gpu_id(const int device_id) { - if (!g_sycl_gpu_mgr->is_allowed_gpu(device_id)) { - char error_buf[256]; - snprintf(error_buf, sizeof(error_buf), - "error: cannot set device=%d, which is not allowed. Please " - "set GPU ID in: [%s]", - device_id, g_sycl_gpu_mgr->gpus_list.c_str()); - fprintf(stderr, "%s\n", error_buf); - throw std::invalid_argument(error_buf); - } -} - -int get_current_device_id() { - return dpct::dev_mgr::instance().current_device_id(); -} - -inline dpct::err0 ggml_sycl_set_device(const int device) try { - - int device_id = g_sycl_gpu_mgr->gpus[device]; - check_allow_gpu_id(device_id); - - int current_device_id; - SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id())); - - // GGML_SYCL_DEBUG("ggml_sycl_set_device device_id=%d, - // current_device_id=%d\n", device, current_device); - if (device_id == current_device_id) { - return 0; - } - - return CHECK_TRY_ERROR(dpct::select_device(device_id)); -} catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - crash(); - std::exit(1); -} - -void log_ggml_var_device(const char*name, float *src, size_t total_elements, bool src_on_device){ - if(!g_ggml_sycl_debug) return; - if(!src){ - printf("GGML Tensor:%s skip to save for NULL pointer\n", name); - return; - } - char filename[1024]; - sprintf(filename, "%s.txt", name); - printf("GGML Tensor:%s save to %s\n", name, filename); - - size_t total_size = total_elements*sizeof(float); - float *local_buf = NULL; - if(src_on_device) { - local_buf = (float *) ggml_sycl_host_malloc(total_size); - ggml_sycl_set_device(g_main_device); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; - main_stream->memcpy(local_buf, src, total_size).wait(); - } - else { - local_buf = (float *)src; - } - - std::ofstream logfile; - logfile.open(filename); - for(size_t i=0; imemcpy(local_buf, src, total_size).wait(); - } - else { - local_buf = (sycl::half *)src; - } - - std::ofstream logfile; - logfile.open(filename); - for(size_t i=0; ibackend == GGML_BACKEND_TYPE_GPU || src->backend == GGML_BACKEND_TYPE_GPU_SPLIT; - float *src_data =NULL; - if(src_on_device) { - ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; - src_data = (float*)src_extra->data_device[g_main_device]; - } - else { - src_data = (float *)src->data; - } - - log_ggml_var_device(name, src_data, total_elements, src_on_device); -} - -static int log_file_name_idx=0; -void log_tensor_with_cnt(const char* name, struct ggml_tensor * src, int stop_cnt) { - stop_cnt = 4; - if(log_file_name_idx>=stop_cnt) return; - char filename[1280]; - sprintf(filename, "%s_%07d", name, log_file_name_idx); - log_file_name_idx++; - print_ggml_tensor(filename, src); -} - static __dpct_inline__ float warp_reduce_sum(float x, const sycl::nd_item<3> &item_ct1) { #pragma unroll @@ -9256,10 +5862,10 @@ static void pool2d_nchw_kernel( } template -static void get_rows_sycl(const ggml_tensor *src0, const ggml_tensor *src1, +static void get_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const void *src0_dd, const int32_t *src1_dd, float *dst_dd, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_TENSOR_BINARY_OP_LOCALS @@ -9291,10 +5897,10 @@ static void get_rows_sycl(const ggml_tensor *src0, const ggml_tensor *src1, } template -static void get_rows_sycl_float(const ggml_tensor *src0, +static void get_rows_sycl_float(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const src0_t *src0_dd, const int32_t *src1_dd, - float *dst_dd, dpct::queue_ptr stream) { + float *dst_dd, queue_ptr stream) { GGML_TENSOR_BINARY_OP_LOCALS @@ -9331,10 +5937,11 @@ static void get_rows_sycl_float(const ggml_tensor *src0, template struct bin_bcast_sycl { template - void operator()(const struct ggml_tensor *src0, + void operator()(ggml_backend_sycl_context & ctx, + const struct ggml_tensor *src0, const struct ggml_tensor *src1, struct ggml_tensor *dst, const src0_t *src0_dd, const src1_t *src1_dd, dst_t *dst_dd, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_TENSOR_BINARY_OP_LOCALS @@ -9471,7 +6078,7 @@ struct bin_bcast_sycl { static void acc_f32_sycl(const float *x, const float *y, float *dst, const int n_elements, const int ne10, const int ne11, const int ne12, const int nb1, const int nb2, - const int offset, dpct::queue_ptr stream) { + const int offset, queue_ptr stream) { int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9484,7 +6091,7 @@ static void acc_f32_sycl(const float *x, const float *y, float *dst, } static void gelu_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9496,7 +6103,7 @@ static void gelu_f32_sycl(const float *x, float *dst, const int k, } static void silu_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_SILU_BLOCK_SIZE - 1) / SYCL_SILU_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9508,7 +6115,7 @@ static void silu_f32_sycl(const float *x, float *dst, const int k, } static void gelu_quick_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9520,7 +6127,7 @@ static void gelu_quick_f32_sycl(const float *x, float *dst, const int k, } static void tanh_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_TANH_BLOCK_SIZE - 1) / SYCL_TANH_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9532,7 +6139,7 @@ static void tanh_f32_sycl(const float *x, float *dst, const int k, } static void relu_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9544,7 +6151,7 @@ static void relu_f32_sycl(const float *x, float *dst, const int k, } static void hardsigmoid_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_HARDSIGMOID_BLOCK_SIZE - 1) / SYCL_HARDSIGMOID_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9556,7 +6163,7 @@ static void hardsigmoid_f32_sycl(const float *x, float *dst, const int k, } static void hardswish_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_HARDSWISH_BLOCK_SIZE - 1) / SYCL_HARDSWISH_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9569,7 +6176,7 @@ static void hardswish_f32_sycl(const float *x, float *dst, const int k, static void leaky_relu_f32_sycl(const float *x, float *dst, const int k, const float negative_slope, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9581,7 +6188,7 @@ static void leaky_relu_f32_sycl(const float *x, float *dst, const int k, } static void sqr_f32_sycl(const float *x, float *dst, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_SQR_BLOCK_SIZE - 1) / SYCL_SQR_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -9594,7 +6201,7 @@ static void sqr_f32_sycl(const float *x, float *dst, const int k, static void norm_f32_sycl(const float *x, float *dst, const int ncols, const int nrows, const float eps, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_ASSERT(ncols % WARP_SIZE == 0); if (ncols < 1024) { const sycl::range<3> block_dims(1, 1, WARP_SIZE); @@ -9612,7 +6219,8 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols, }); }); } else { - const int work_group_size = g_work_group_size; + // FIXME: 1024 from cuda + const int work_group_size = GROUP_SIZE; const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:17: The work-group size passed to the SYCL kernel may exceed @@ -9637,7 +6245,7 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols, static void group_norm_f32_sycl(const float *x, float *dst, const int num_groups, const int group_size, - const int ne_elements, dpct::queue_ptr stream) { + const int ne_elements, queue_ptr stream) { static const float eps = 1e-6f; if (group_size < 1024) { const sycl::range<3> block_dims(1, 1, WARP_SIZE); @@ -9658,7 +6266,7 @@ static void group_norm_f32_sycl(const float *x, float *dst, }); }); } else { - const int work_group_size = g_work_group_size; + const int work_group_size = GROUP_SIZE; const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:18: The work-group size passed to the SYCL kernel may exceed @@ -9687,7 +6295,7 @@ static void group_norm_f32_sycl(const float *x, float *dst, static void concat_f32_sycl(const float *x, const float *y, float *dst, const int ne0, int ne1, int ne2, int ne02, - dpct::queue_ptr stream) { + queue_ptr stream) { int num_blocks = (ne0 + SYCL_CONCAT_BLOCK_SIZE - 1) / SYCL_CONCAT_BLOCK_SIZE; sycl::range<3> gridDim(ne2, ne1, num_blocks); stream->parallel_for( @@ -9702,7 +6310,7 @@ static void concat_f32_sycl(const float *x, const float *y, float *dst, static void upscale_f32_sycl(const float *x, float *dst, const int nb00, const int nb01, const int nb02, const int nb03, const int ne10, const int ne11, const int ne12, const int ne13, const float sf0, const float sf1, - const float sf2, const float sf3, dpct::queue_ptr stream) { + const float sf2, const float sf3, queue_ptr stream) { int dst_size = ne10 * ne11 * ne12 * ne13; int num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE; sycl::range<1> gridDim(num_blocks * SYCL_UPSCALE_BLOCK_SIZE); @@ -9715,7 +6323,7 @@ static void upscale_f32_sycl(const float *x, float *dst, const int nb00, const i static void pad_f32_sycl(const float *x, float *dst, const int ne00, const int ne01, const int ne02, const int ne0, - const int ne1, const int ne2, dpct::queue_ptr stream) { + const int ne1, const int ne2, queue_ptr stream) { int num_blocks = (ne0 + SYCL_PAD_BLOCK_SIZE - 1) / SYCL_PAD_BLOCK_SIZE; sycl::range<3> gridDim(ne2, ne1, num_blocks); stream->parallel_for( @@ -9728,7 +6336,7 @@ static void pad_f32_sycl(const float *x, float *dst, const int ne00, static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols, const int nrows, const float eps, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_ASSERT(ncols % WARP_SIZE == 0); // printf("%s ncols=%d, nrows=%d, WARP_SIZE=%d\n", __func__, ncols, nrows, WARP_SIZE); if (ncols < 1024) { @@ -9747,7 +6355,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols, }); }); } else { - const int work_group_size = g_work_group_size; + const int work_group_size = GROUP_SIZE; const sycl::range<3> block_dims(1, 1, work_group_size); /* DPCT1049:19: The work-group size passed to the SYCL kernel may exceed @@ -9772,7 +6380,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols, static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx, const int ky, const int kx_padded, - dpct::queue_ptr stream) { + queue_ptr stream) { const int block_num_x = (kx_padded + SYCL_QUANTIZE_BLOCK_SIZE - 1) / SYCL_QUANTIZE_BLOCK_SIZE; const sycl::range<3> num_blocks(1, ky, block_num_x); const sycl::range<3> block_size(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE); @@ -9791,7 +6399,7 @@ 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, - dpct::queue_ptr stream) { + 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(), @@ -9809,7 +6417,7 @@ static void dequantize_block_sycl(const void *__restrict__ vx, template static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9826,7 +6434,7 @@ static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9843,7 +6451,7 @@ static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb32 = k / 32; const int nb = (k + 255) / 256; { @@ -9861,7 +6469,7 @@ static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb32 = k / 32; const int nb = (k + 255) / 256; { @@ -9880,7 +6488,7 @@ static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9897,7 +6505,7 @@ static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9914,7 +6522,7 @@ static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9931,7 +6539,7 @@ static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9952,7 +6560,7 @@ static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9973,7 +6581,7 @@ static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -9994,7 +6602,7 @@ static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10015,7 +6623,7 @@ static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10035,7 +6643,7 @@ static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10056,7 +6664,7 @@ static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = k / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10076,7 +6684,7 @@ static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = (k + QK_K - 1) / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10097,7 +6705,7 @@ static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k, template static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int nb = (k + QK_K - 1) / QK_K; { dpct::has_capability_or_fail(stream->get_device(), @@ -10120,7 +6728,7 @@ static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k, template static void convert_unary_sycl(const void *__restrict__ vx, dst_t *__restrict__ y, const int k, - dpct::queue_ptr stream) { + 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(), @@ -10241,7 +6849,7 @@ static to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) { 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) { + 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 @@ -10263,7 +6871,7 @@ static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y, 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) { + 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); @@ -10284,7 +6892,7 @@ static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y, 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) { + 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); @@ -10305,7 +6913,7 @@ static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y, 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) { + 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); @@ -10326,7 +6934,7 @@ static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y, 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) { + 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); @@ -10347,7 +6955,7 @@ static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y, 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) { + 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; @@ -10363,7 +6971,7 @@ static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y, 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) { + 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; @@ -10379,7 +6987,7 @@ static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y, 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) { + 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; @@ -10395,7 +7003,7 @@ static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y, 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) { + queue_ptr stream) { GGML_ASSERT(ncols % QK_K == 0); const sycl::range<3> block_dims(1, 1, 32); stream->parallel_for( @@ -10408,7 +7016,7 @@ static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y, 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) { + 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; @@ -10424,7 +7032,7 @@ static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y, 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) { + 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); @@ -10446,7 +7054,7 @@ static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y, 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) { + 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); @@ -10470,7 +7078,7 @@ static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10494,7 +7102,7 @@ static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10518,7 +7126,7 @@ static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10542,7 +7150,7 @@ static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10566,7 +7174,7 @@ static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10590,7 +7198,7 @@ static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10614,7 +7222,7 @@ static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10638,7 +7246,7 @@ static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10662,7 +7270,7 @@ static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10687,7 +7295,7 @@ static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10708,7 +7316,7 @@ static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10733,7 +7341,7 @@ static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10758,7 +7366,7 @@ static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10783,7 +7391,7 @@ static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10807,7 +7415,7 @@ static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10832,7 +7440,7 @@ static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10853,7 +7461,7 @@ static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10875,7 +7483,7 @@ static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy, 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) { + 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); @@ -10898,12 +7506,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11013,12 +7621,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11128,12 +7736,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11243,12 +7851,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11358,12 +7966,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11473,12 +8081,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11594,12 +8202,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11721,12 +8329,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11842,12 +8450,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -11963,12 +8571,12 @@ 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 { + queue_ptr stream) try { int id; SYCL_CHECK( CHECK_TRY_ERROR(id = get_current_device_id())); - const int compute_capability = g_device_caps[id].cc; + const int compute_capability = ggml_sycl_info().devices[id].cc; int mmq_x, mmq_y, nwarps; if (compute_capability >= VER_GEN13) { @@ -12085,7 +8693,7 @@ static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y, const int nrows_x, const int nchannels_x, const int nchannels_y, - dpct::queue_ptr stream) { + queue_ptr stream) { const sycl::range<3> block_nums(nchannels_y, nrows_x, 1); const sycl::range<3> block_dims(1, 1, WARP_SIZE); @@ -12105,7 +8713,7 @@ static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y, static void ggml_mul_mat_vec_nc_f16_f32_sycl( const void *vx, const float *y, float *dst, const int ncols_x, const int nrows_x, const int row_stride_x, const int nchannels_x, - const int nchannels_y, const int channel_stride_x, dpct::queue_ptr stream) { + const int nchannels_y, const int channel_stride_x, queue_ptr stream) { const sycl::range<3> block_nums(nchannels_y, nrows_x, 1); const sycl::range<3> block_dims(1, 1, WARP_SIZE); @@ -12129,7 +8737,7 @@ ggml_cpy_f16_f32_sycl(const char *cx, char *cdst, const int ne, const int ne00, const int nb01, const int nb02, const int nb03, const int ne10, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, - const int nb13, dpct::queue_ptr stream) { + const int nb13, queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12156,7 +8764,7 @@ static void ggml_cpy_f32_f32_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12183,7 +8791,7 @@ static void ggml_cpy_f32_f16_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12210,7 +8818,7 @@ static void ggml_cpy_f32_q8_0_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_ASSERT(ne % QK8_0 == 0); const int num_blocks = ne / QK8_0; @@ -12232,7 +8840,7 @@ static void ggml_cpy_f32_q4_0_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_ASSERT(ne % QK4_0 == 0); const int num_blocks = ne / QK4_0; @@ -12254,7 +8862,7 @@ static void ggml_cpy_f32_q4_1_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { GGML_ASSERT(ne % QK4_1 == 0); const int num_blocks = ne / QK4_1; @@ -12276,7 +8884,7 @@ static void ggml_cpy_f16_f16_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12303,7 +8911,7 @@ static void ggml_cpy_i16_i16_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12330,7 +8938,7 @@ static void ggml_cpy_i32_i32_sycl(const char *cx, char *cdst, const int ne, const int ne11, const int ne12, const int nb10, const int nb11, const int nb12, const int nb13, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE; { @@ -12350,7 +8958,7 @@ static void ggml_cpy_i32_i32_sycl(const char *cx, char *cdst, const int ne, } static void scale_f32_sycl(const float *x, float *dst, const float scale, - const int k, dpct::queue_ptr stream) { + const int k, queue_ptr stream) { const int num_blocks = (k + SYCL_SCALE_BLOCK_SIZE - 1) / SYCL_SCALE_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -12363,7 +8971,7 @@ static void scale_f32_sycl(const float *x, float *dst, const float scale, static void clamp_f32_sycl(const float *x, float *dst, const float min, const float max, const int k, - dpct::queue_ptr stream) { + queue_ptr stream) { const int num_blocks = (k + SYCL_CLAMP_BLOCK_SIZE - 1) / SYCL_CLAMP_BLOCK_SIZE; stream->parallel_for( sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * @@ -12378,7 +8986,7 @@ template static void rope_sycl(const T *x, T *dst, int ncols, int nrows, const int32_t *pos, float freq_scale, int p_delta_rows, float freq_base, float ext_factor, float attn_factor, - rope_corr_dims corr_dims, dpct::queue_ptr stream) { + rope_corr_dims corr_dims, queue_ptr stream) { GGML_ASSERT(ncols % 2 == 0); const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE); @@ -12423,7 +9031,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows, const int32_t *pos, float freq_scale, int p_delta_rows, float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, - const float * freq_factors, dpct::queue_ptr stream) { + const float * freq_factors, queue_ptr stream) { GGML_ASSERT(ncols % 2 == 0); const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1); const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE); @@ -12479,7 +9087,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows, } static void sum_rows_f32_sycl(const float *x, float *dst, const int ncols, - const int nrows, dpct::queue_ptr stream) { + const int nrows, queue_ptr stream) { const sycl::range<3> block_dims(1, 1, WARP_SIZE); const sycl::range<3> block_nums(1, nrows, 1); stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), @@ -12499,7 +9107,7 @@ static int next_power_of_2(int x) { static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols, const int nrows, ggml_sort_order order, - dpct::queue_ptr stream) { + queue_ptr stream) { // bitonic sort requires ncols to be power of 2 const int ncols_pad = next_power_of_2(ncols); @@ -12507,8 +9115,6 @@ static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols, const sycl::range<3> block_nums(1, nrows, 1); const size_t shared_mem = ncols_pad * sizeof(int); - // GGML_ASSERT(shared_mem <= ggml_cuda_info().devices[ggml_cuda_get_device()].smpb); - if (order == GGML_SORT_ORDER_ASC) { stream->submit([&](sycl::handler &cgh) { sycl::local_accessor dpct_local_acc_ct1( @@ -12545,7 +9151,7 @@ static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols, static void diag_mask_inf_f32_sycl(const float *x, float *dst, const int ncols_x, const int nrows_x, const int rows_per_channel, const int n_past, - dpct::queue_ptr stream) { + queue_ptr stream) { const sycl::range<3> block_dims(1, SYCL_DIAG_MASK_INF_BLOCK_SIZE, 1); const int block_num_x = (ncols_x + SYCL_DIAG_MASK_INF_BLOCK_SIZE - 1) / SYCL_DIAG_MASK_INF_BLOCK_SIZE; const sycl::range<3> block_nums(1, block_num_x, nrows_x); @@ -12561,7 +9167,7 @@ template static void soft_max_f32_submitter(const float * x, const float * mask, float * dst, const int ncols_par, const int nrows_y, const float scale, const float max_bias, const float m0, const float m1, uint32_t n_head_log2, sycl::range<3> block_nums, sycl::range<3> block_dims, - const size_t n_local_scratch, dpct::queue_ptr stream) { + const size_t n_local_scratch, queue_ptr stream) { stream->submit([&](sycl::handler &cgh) { sycl::local_accessor local_buf_acc(n_local_scratch, cgh); @@ -12579,9 +9185,9 @@ static void soft_max_f32_submitter(const float * x, const float * mask, float * static void soft_max_f32_sycl(const float * x, const float * mask, float * dst, const int ncols_x, const int nrows_x, const int nrows_y, const float scale, const float max_bias, - dpct::queue_ptr stream) { + queue_ptr stream) { int nth = WARP_SIZE; - int max_block_size = g_work_group_size; + int max_block_size = GROUP_SIZE; while (nth < ncols_x && nth < max_block_size) nth *= 2; if (nth>max_block_size) nth = max_block_size; @@ -12662,7 +9268,7 @@ static void im2col_sycl(const float *x, T *dst, int IW, int IH, int OW, int OH, int KW, int KH, int IC, int offset_delta, int s0, int s1, int p0, int p1, int d0, int d1, - dpct::queue_ptr stream) { + queue_ptr stream) { const int parallel_elements = OW * KW * KH; const int num_blocks = (parallel_elements + SYCL_IM2COL_BLOCK_SIZE - 1) / SYCL_IM2COL_BLOCK_SIZE; sycl::range<3> block_nums(IC, OH, num_blocks); @@ -12682,223 +9288,6 @@ static void im2col_sycl(const float *x, T *dst, int IW, int IH, } } -// buffer pool for sycl -#define MAX_SYCL_BUFFERS 256 - -struct scoped_spin_lock { - std::atomic_flag& lock; - scoped_spin_lock(std::atomic_flag& lock) : lock(lock) { - while (lock.test_and_set(std::memory_order_acquire)) { - ; // spin - } - } - ~scoped_spin_lock() { - lock.clear(std::memory_order_release); - } - scoped_spin_lock(const scoped_spin_lock&) = delete; - scoped_spin_lock& operator=(const scoped_spin_lock&) = delete; -}; - -static std::atomic_flag g_sycl_pool_lock = ATOMIC_FLAG_INIT; - -// #define DEBUG_SYCL_MALLOC -struct sycl_buffer { - void * ptr = nullptr; - size_t size = 0; -}; - -static sycl_buffer g_sycl_buffer_pool[GGML_SYCL_MAX_DEVICES][MAX_SYCL_BUFFERS]; -static size_t g_sycl_pool_size[GGML_SYCL_MAX_DEVICES] = {0}; - -static void *ggml_sycl_pool_malloc_leg(int device_index, size_t size, size_t *actual_size) try { - scoped_spin_lock lock(g_sycl_pool_lock); - // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg device_index %d size=%lu\n", device_index, size); -#ifdef DEBUG_SYCL_MALLOC - int nnz = 0; - size_t max_size = 0; -#endif - size_t best_diff = 1ull << 36; - int ibest = -1; - for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { - sycl_buffer& b = g_sycl_buffer_pool[device_index][i]; - if (b.ptr != nullptr) { -#ifdef DEBUG_SYCL_MALLOC - ++nnz; - if (b.size > max_size) max_size = b.size; -#endif - if (b.size >= size) { - size_t diff = b.size - size; - if (diff < best_diff) { - best_diff = diff; - ibest = i; - if (!best_diff) { - void * ptr = b.ptr; - *actual_size = b.size; - b.ptr = nullptr; - b.size = 0; - // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg return 1 %p and rm in pool\n", ptr); - return ptr; - } - } - } - } - } - if (ibest >= 0) { - sycl_buffer& b = g_sycl_buffer_pool[device_index][ibest]; - void * ptr = b.ptr; - *actual_size = b.size; - b.ptr = nullptr; - b.size = 0; - // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg return 2 %p and rm in pool\n", ptr); - return ptr; - } - void * ptr; - size_t look_ahead_size = (size_t) (1.05 * size); - look_ahead_size = 256 * ((look_ahead_size + 255)/256); - - const dpct::queue_ptr stream = g_syclStreams[device_index][0]; - SYCL_CHECK( - CHECK_TRY_ERROR(ptr = (void *)sycl::malloc_device( - look_ahead_size, *stream))); - *actual_size = look_ahead_size; - g_sycl_pool_size[device_index] += look_ahead_size; - -#ifdef DEBUG_SYCL_MALLOC - fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, id, nnz, - (uint32_t)(max_size/1024/1024), (uint32_t)(g_sycl_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024)); -#endif - // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%lu, return %p\n", look_ahead_size, ptr); - return ptr; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_sycl_pool_free_leg(int device_index, void *ptr, size_t size) try { - scoped_spin_lock lock(g_sycl_pool_lock); - const dpct::queue_ptr stream = g_syclStreams[device_index][0]; - for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { - sycl_buffer& b = g_sycl_buffer_pool[device_index][i]; - if (b.ptr == nullptr) { - b.ptr = ptr; - b.size = size; - return; - } - } - fprintf(stderr, "WARNING: sycl buffer pool full, increase MAX_SYCL_BUFFERS\n"); - SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *stream))); - g_sycl_pool_size[device_index] -= size; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -// pool with virtual memory -/* -DPCT1082:64: Migration of CUmemGenericAllocationHandle type is not supported. -*/ -// static std::vector -// g_sycl_pool_handles[GGML_SYCL_MAX_DEVICES]; -static dpct::device_ptr g_sycl_pool_addr[GGML_SYCL_MAX_DEVICES] = {0}; -static size_t g_sycl_pool_used[GGML_SYCL_MAX_DEVICES] = {0}; - -static void *ggml_sycl_pool_malloc_vmm(int device_index, size_t size, size_t *actual_size) try { - GGML_UNUSED(device_index); - GGML_UNUSED(size); - GGML_UNUSED(actual_size); - return NULL; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_sycl_pool_free_vmm(int device_index, void *ptr, size_t size) try { - scoped_spin_lock lock(g_sycl_pool_lock); -#ifdef DEBUG_SYCL_MALLOC - printf("sycl pool[%d]: freed %llu bytes at %llx\n", device_index, (unsigned long long) size, ptr); -#endif - - g_sycl_pool_used[device_index] -= size; - - // all deallocations must be in reverse order of the allocations - GGML_ASSERT(ptr == (void *) (g_sycl_pool_addr[device_index] + g_sycl_pool_used[device_index])); -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void *ggml_sycl_pool_malloc(int device_index, size_t size, size_t *actual_size) try { - if (g_device_caps[device_index].vmm) { - return ggml_sycl_pool_malloc_vmm(device_index, size, actual_size); - } else { - return ggml_sycl_pool_malloc_leg(device_index, size, actual_size); - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static void ggml_sycl_pool_free(int device_index, void *ptr, size_t size) try { - if (g_device_caps[device_index].vmm) { - ggml_sycl_pool_free_vmm(device_index, ptr, size); - } else { - ggml_sycl_pool_free_leg(device_index, ptr, size); - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - - -template -struct sycl_pool_alloc { - int device_index = -1; - int device_id = -1; - T * ptr = nullptr; - size_t actual_size = 0; - - // size is in number of elements - T * alloc(size_t size) { - GGML_ASSERT(ptr == nullptr); - device_id = get_current_device_id(); - device_index = g_sycl_gpu_mgr->get_index(device_id); - ptr = (T *) ggml_sycl_pool_malloc(device_index, size * sizeof(T), &this->actual_size); - // GGML_SYCL_DEBUG("sycl_pool_alloc %lu return %p actual size=%lu\n", size * sizeof(T), ptr, this->actual_size); - return ptr; - } - - sycl_pool_alloc(size_t size) { - alloc(size); - } - - ~sycl_pool_alloc() { - if (ptr != nullptr) { - ggml_sycl_pool_free(device_index, ptr, actual_size); - } - } - - T * get() { - return ptr; - } - - sycl_pool_alloc() = default; - sycl_pool_alloc(const sycl_pool_alloc &) = delete; - sycl_pool_alloc(sycl_pool_alloc &&) = delete; - sycl_pool_alloc& operator=(const sycl_pool_alloc &) = delete; - sycl_pool_alloc& operator=(sycl_pool_alloc &&) = delete; -}; static bool g_sycl_loaded = false; @@ -12950,21 +9339,6 @@ void ggml_backend_sycl_print_sycl_devices() { } } -void print_gpu_device_list() { - GGML_ASSERT(g_sycl_gpu_mgr); - - char* hint=NULL; - if (g_ggml_sycl_backend_gpu_mode == SYCL_SINGLE_GPU_MODE) { - hint = "use %d SYCL GPUs: [%s] with Max compute units:%d\n"; - } else { - hint = "detect %d SYCL GPUs: [%s] with top Max compute units:%d\n"; - } - fprintf(stderr, hint, - g_sycl_gpu_mgr->get_gpu_count(), - g_sycl_gpu_mgr->gpus_list.c_str(), - g_sycl_gpu_mgr->max_compute_units); -} - int get_sycl_env(const char *env_name, int default_val) { char *user_device_string = getenv(env_name); int user_number = default_val; @@ -12986,11 +9360,11 @@ int get_work_group_size(int user_device_id) { return prop.get_max_work_group_size(); } -static void ggml_init_sycl() try { +static void ggml_check_sycl() try { static bool initialized = false; if (!initialized) { - fprintf(stderr, "[SYCL] call ggml_init_sycl\n"); + fprintf(stderr, "[SYCL] call ggml_check_sycl\n"); g_ggml_sycl_debug = get_sycl_env("GGML_SYCL_DEBUG", 0); fprintf(stderr, "%s: GGML_SYCL_DEBUG: %d\n", __func__, g_ggml_sycl_debug); @@ -13027,109 +9401,189 @@ catch (sycl::exception const &exc) { std::exit(1); } -void ggml_init_by_gpus(int device_count) try { - g_device_count = device_count; - g_work_group_size = g_sycl_gpu_mgr->work_group_size; +static ggml_sycl_device_info ggml_sycl_init() { + ggml_sycl_device_info info = {}; - int64_t total_vram = 0; - - print_gpu_device_list(); - - for (int id = 0; id < GGML_SYCL_MAX_DEVICES; ++id) { - g_device_caps[id].vmm = 0; - g_device_caps[id].device_id = -1; - g_device_caps[id].cc = 0; - g_tensor_split[id] = 0; - g_default_tensor_split[id] = 0; + info.device_count = dpct::dev_mgr::instance().device_count(); + if (info.device_count == 0) { + fprintf(stderr, "%s: failed to initialize " GGML_SYCL_NAME ": %s\n", __func__); + return info; } - for (int i = 0; i < g_device_count; ++i) { - int device_id = g_sycl_gpu_mgr->gpus[i]; - g_device_caps[i].vmm = 0; + GGML_ASSERT(info.device_count <= GGML_SYCL_MAX_DEVICES); + int64_t total_vram = 0; +#if defined(GGML_SYCL_FORCE_MMQ) + fprintf(stderr, "%s: GGML_SYCL_FORCE_MMQ: yes\n", __func__); +#else + fprintf(stderr, "%s: GGML_SYCL_FORCE_MMQ: no\n", __func__); +#endif +#if defined(SYCL_USE_XMX) + fprintf(stderr, "%s: SYCL_USE_XMX: yes\n", __func__); +#else + fprintf(stderr, "%s: SYCL_USE_XMX: no\n", __func__); +#endif + fprintf(stderr, "%s: found %d " GGML_SYCL_NAME " devices:\n", __func__, info.device_count); + + for (int i = 0; i < info.device_count; ++i) { + info.devices[i].vmm = 0; dpct::device_info prop; SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info( - prop, dpct::dev_mgr::instance().get_device(device_id)))); + prop, dpct::dev_mgr::instance().get_device(i)))); - g_default_tensor_split[i] = total_vram; + info.default_tensor_split[i] = total_vram; total_vram += prop.get_global_mem_size(); - g_device_caps[i].cc = + info.devices[i].cc = 100 * prop.get_major_version() + 10 * prop.get_minor_version(); } - for (int i = 0; i < g_device_count; ++i) { - g_default_tensor_split[i] /= total_vram; + for (int id = 0; id < info.device_count; ++id) { + info.default_tensor_split[id] /= total_vram; + } + return info; +} + +const ggml_sycl_device_info & ggml_sycl_info() { + static ggml_sycl_device_info info = ggml_sycl_init(); + return info; +} + +/* +device_index: device index from 0 to n (continue numbers). + It is used for device select/set in SYCL backend internal data structure. +*/ +inline void check_allow_gpu_index(const int device_index) { + if (device_index >= ggml_sycl_info().device_count) { + char error_buf[256]; + snprintf( + error_buf, + sizeof(error_buf), + "%s error: device_index:%d is out of range: [0-%d]", + __func__, + device_index, + ggml_sycl_info().device_count - 1); + fprintf(stderr, "%s\n", error_buf); + assert(false); + } +} + +// buffer pool for sycl (legacy) +struct ggml_sycl_pool_leg : public ggml_sycl_pool { + static const int MAX_SYCL_BUFFERS = 256; + + int device; + queue_ptr qptr; + struct ggml_sycl_buffer { + void * ptr = nullptr; + size_t size = 0; + }; + + ggml_sycl_buffer buffer_pool[MAX_SYCL_BUFFERS] = {}; + size_t pool_size = 0; + + explicit ggml_sycl_pool_leg(queue_ptr qptr_, int device_) : + qptr(qptr_), + device(device_) { } - for (int i = 0; i < g_device_count; ++i) { - SYCL_CHECK(ggml_sycl_set_device(i)); - - // create sycl streams - for (int is = 0; is < MAX_STREAMS; ++is) { - SYCL_CHECK(CHECK_TRY_ERROR( - g_syclStreams[i][is] = - dpct::get_current_device().create_queue( - g_sycl_gpu_mgr->get_co_ctx(), dpct::get_current_device()))); + ~ggml_sycl_pool_leg() { + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { + ggml_sycl_buffer & b = buffer_pool[i]; + if (b.ptr != nullptr) { + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(b.ptr, *qptr))); + pool_size -= b.size; + } } - - const dpct::queue_ptr stream = g_syclStreams[i][0]; - // create sycl handle - SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[i] = stream)); - } -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -void *ggml_sycl_host_malloc(size_t size) try { - if (getenv("GGML_SYCL_NO_PINNED") != nullptr) { - return nullptr; + GGML_ASSERT(pool_size == 0); } - ggml_sycl_set_device(g_main_device); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + void * alloc(size_t size, size_t * actual_size) override { +#ifdef DEBUG_sycl_MALLOC + int nnz = 0; + size_t max_size = 0; +#endif + size_t best_diff = 1ull << 36; + int ibest = -1; + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { + ggml_sycl_buffer& b = buffer_pool[i]; + if (b.ptr != nullptr) { +#ifdef DEBUG_sycl_MALLOC + ++nnz; + if (b.size > max_size) max_size = b.size; +#endif + if (b.size >= size) { + size_t diff = b.size - size; + if (diff < best_diff) { + best_diff = diff; + ibest = i; + if (!best_diff) { + void * ptr = b.ptr; + *actual_size = b.size; + b.ptr = nullptr; + b.size = 0; + return ptr; + } + } + } + } + } + if (ibest >= 0) { + ggml_sycl_buffer& b = buffer_pool[ibest]; + void * ptr = b.ptr; + *actual_size = b.size; + b.ptr = nullptr; + b.size = 0; + return ptr; + } + void * ptr; + size_t look_ahead_size = (size_t) (1.05 * size); - void * ptr = nullptr; - dpct::err0 err = CHECK_TRY_ERROR( - ptr = (void *)sycl::malloc_host(size, *main_stream)); + SYCL_CHECK( + CHECK_TRY_ERROR(ptr = (void *)sycl::malloc_device( + look_ahead_size, *qptr))); + *actual_size = look_ahead_size; + pool_size += look_ahead_size; - if (err != 0) { - // clear the error - fprintf( - stderr, - "WARNING: failed to allocate %.2f MB of pinned memory: %s\n", - size / 1024.0 / 1024.0, - "syclGetErrorString is not supported"); - return nullptr; + #ifdef DEBUG_SYCL_MALLOC + fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, id, nnz, + (uint32_t)(max_size/1024/1024), (uint32_t)(g_sycl_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024)); + #endif + // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%lu, return %p\n", look_ahead_size, ptr); + return ptr; } - return ptr; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); + void free(void * ptr, size_t size) override { + for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) { + ggml_sycl_buffer& b = buffer_pool[i]; + if (b.ptr == nullptr) { + b.ptr = ptr; + b.size = size; + return; + } + } + fprintf(stderr, "WARNING: sycl buffer pool full, increase MAX_sycl_BUFFERS\n"); + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *qptr))); + pool_size -= size; + } +}; + +std::unique_ptr ggml_backend_sycl_context::new_pool_for_device(queue_ptr qptr, int device) { + // TBD: NO VMM support + // if (ggml_sycl_info().devices[device].vmm) { + // return std::unique_ptr(new ggml_sycl_pool_vmm(device)); + // } + return std::unique_ptr(new ggml_sycl_pool_leg(qptr, device)); } -void ggml_sycl_host_free(void *ptr) try { - ggml_sycl_set_device(g_main_device); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; - SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *main_stream))); -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} +// TBD pool with virtual memory management +// struct ggml_sycl_pool_vmm : public ggml_sycl_pool static dpct::err0 ggml_sycl_cpy_tensor_2d(void *dst, const struct ggml_tensor *src, int64_t i3, int64_t i2, int64_t i1_low, int64_t i1_high, - dpct::queue_ptr stream) try { + queue_ptr stream) try { dpct::memcpy_direction kind; char * src_ptr; @@ -13195,10 +9649,10 @@ catch (sycl::exception const &exc) { std::exit(1); } -static void ggml_sycl_op_get_rows(const ggml_tensor *src0, +static void ggml_sycl_op_get_rows(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_d, const float *src1_d, - float *dst_d, const dpct::queue_ptr &stream) { + float *dst_d, const queue_ptr &stream) { GGML_ASSERT(src1->type == GGML_TYPE_I32); GGML_ASSERT(dst->type == GGML_TYPE_F32); @@ -13211,26 +9665,26 @@ static void ggml_sycl_op_get_rows(const ggml_tensor *src0, switch (src0->type) { case GGML_TYPE_F16: - get_rows_sycl_float(src0, src1, dst, (const sycl::half *)src0_d, + get_rows_sycl_float(ctx, src0, src1, dst, (const sycl::half *)src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_F32: - get_rows_sycl_float(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl_float(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q4_0: - get_rows_sycl(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q4_1: - get_rows_sycl(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q5_0: - get_rows_sycl(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q5_1: - get_rows_sycl(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; case GGML_TYPE_Q8_0: - get_rows_sycl(src0, src1, dst, src0_d, src1_i32, dst_d, stream); + get_rows_sycl(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream); break; default: // TODO: k-quants @@ -13241,25 +9695,25 @@ static void ggml_sycl_op_get_rows(const ggml_tensor *src0, } template -inline void ggml_sycl_op_bin_bcast(const ggml_tensor *src0, +inline void ggml_sycl_op_bin_bcast(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { - op()(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); + op()(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { - op()(src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, + op()(ctx, src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, (sycl::half *)dst_dd, main_stream); } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) { - op()(src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, dst_dd, + op()(ctx, src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, dst_dd, main_stream); } else if (src0->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) { - op()(src0, src1, dst, (const int32_t *)src0_dd, (const int32_t *)src1_dd, (int32_t *)dst_dd, + op()(ctx, src0, src1, dst, (const int32_t *)src0_dd, (const int32_t *)src1_dd, (int32_t *)dst_dd, main_stream); } else if (src0->type == GGML_TYPE_I16 && dst->type == GGML_TYPE_I16) { - op()(src0, src1, dst, (const int16_t *)src0_dd, (const int16_t *)src1_dd, (int16_t *)dst_dd, + op()(ctx, src0, src1, dst, (const int16_t *)src0_dd, (const int16_t *)src1_dd, (int16_t *)dst_dd, main_stream); } else { fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__, @@ -13268,30 +9722,30 @@ inline void ggml_sycl_op_bin_bcast(const ggml_tensor *src0, } } -static void ggml_sycl_op_repeat(const ggml_tensor *src0, +static void ggml_sycl_op_repeat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_d, const float *src1_d, float *dst_d, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { - ggml_sycl_op_bin_bcast>(dst, src0, dst, nullptr, src0_d, dst_d, main_stream); + ggml_sycl_op_bin_bcast>(ctx, dst, src0, dst, nullptr, src0_d, dst_d, main_stream); (void) src1; (void) src1_d; } -inline void ggml_sycl_op_add(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_add(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { - ggml_sycl_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); + ggml_sycl_op_bin_bcast>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } -inline void ggml_sycl_op_acc(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(src1->type == GGML_TYPE_F32); @@ -13308,26 +9762,26 @@ inline void ggml_sycl_op_acc(const ggml_tensor *src0, const ggml_tensor *src1, (void) dst; } -inline void ggml_sycl_op_mul(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_mul(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { - ggml_sycl_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); + ggml_sycl_op_bin_bcast>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } -inline void ggml_sycl_op_div(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_div(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { - ggml_sycl_op_bin_bcast>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); + ggml_sycl_op_bin_bcast>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream); } -inline void ggml_sycl_op_gelu(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13339,10 +9793,10 @@ inline void ggml_sycl_op_gelu(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_silu(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_silu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13354,11 +9808,11 @@ inline void ggml_sycl_op_silu(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_gelu_quick(const ggml_tensor *src0, +inline void ggml_sycl_op_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13370,10 +9824,10 @@ inline void ggml_sycl_op_gelu_quick(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_tanh(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13384,10 +9838,10 @@ inline void ggml_sycl_op_tanh(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_relu(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13399,11 +9853,11 @@ inline void ggml_sycl_op_relu(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -static void ggml_sycl_op_hardsigmoid(const ggml_tensor *src0, +static void ggml_sycl_op_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13415,10 +9869,10 @@ static void ggml_sycl_op_hardsigmoid(const ggml_tensor *src0, (void) src1_dd; } -static void ggml_sycl_op_hardswish(const ggml_tensor *src0, +static void ggml_sycl_op_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, - float *dst_dd, const dpct::queue_ptr &main_stream) { + float *dst_dd, const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13430,11 +9884,11 @@ static void ggml_sycl_op_hardswish(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_leaky_relu(const ggml_tensor *src0, +inline void ggml_sycl_op_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13449,10 +9903,10 @@ inline void ggml_sycl_op_leaky_relu(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_sqr(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13464,10 +9918,10 @@ inline void ggml_sycl_op_sqr(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_norm(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13485,11 +9939,11 @@ inline void ggml_sycl_op_norm(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_group_norm(const ggml_tensor *src0, +inline void ggml_sycl_op_group_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13503,11 +9957,11 @@ inline void ggml_sycl_op_group_norm(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_concat(const ggml_tensor *src0, +inline void ggml_sycl_op_concat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { #pragma message("TODO: generalize concat kernel for dim != 2") #pragma message(" https://github.com/ggerganov/llama.cpp/pull/7563") int dim = dst->op_params[0]; @@ -13525,11 +9979,11 @@ inline void ggml_sycl_op_concat(const ggml_tensor *src0, (void) dst; } -inline void ggml_sycl_op_upscale(const ggml_tensor *src0, +inline void ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(dst->type == GGML_TYPE_F32); @@ -13548,10 +10002,10 @@ inline void ggml_sycl_op_upscale(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_pad(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_pad(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT(dst->type == GGML_TYPE_F32); @@ -13566,11 +10020,11 @@ inline void ggml_sycl_op_pad(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_rms_norm(const ggml_tensor *src0, +inline void ggml_sycl_op_rms_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -13589,11 +10043,11 @@ inline void ggml_sycl_op_rms_norm(const ggml_tensor *src0, } inline void ggml_sycl_op_mul_mat_q( - const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, + 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 queue_ptr &stream) try { const int64_t ne00 = src0->ne[0]; @@ -13610,7 +10064,7 @@ inline void ggml_sycl_op_mul_mat_q( // 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 = dst->backend == GGML_BACKEND_TYPE_GPU && device_id == g_main_device ? ne0 : row_diff; + const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff; switch (src0->type) { case GGML_TYPE_Q4_0: @@ -13661,13 +10115,13 @@ catch (sycl::exception const &exc) { 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; - for (int i = 0; i < g_device_count; ++i) { - if (tensor_split[i] < (i + 1 < g_device_count ? tensor_split[i + 1] : 1.0f)) { - if (min_compute_capability > g_device_caps[i].cc) { - min_compute_capability = g_device_caps[i].cc; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { + if (tensor_split[i] < (i + 1 < ggml_sycl_info().device_count ? tensor_split[i + 1] : 1.0f)) { + if (min_compute_capability > ggml_sycl_info().devices[i].cc) { + min_compute_capability = ggml_sycl_info().devices[i].cc; } - if (max_compute_capability < g_device_caps[i].cc) { - max_compute_capability = g_device_caps[i].cc; + if (max_compute_capability < ggml_sycl_info().devices[i].cc) { + max_compute_capability = ggml_sycl_info().devices[i].cc; } } } @@ -13707,11 +10161,12 @@ static int64_t get_row_rounding(ggml_type type, const std::arrayne[0]; GGML_ASSERT(ne10 % QK8_1 == 0); @@ -13725,7 +10180,7 @@ inline void ggml_sycl_op_mul_mat_vec_q( // 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 = dst->backend == GGML_BACKEND_TYPE_GPU && id == g_main_device ? ne00 : row_diff; + const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff; switch (src0->type) { case GGML_TYPE_Q4_0: @@ -13799,11 +10254,12 @@ inline void ggml_sycl_op_mul_mat_vec_q( 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 dpct::queue_ptr &stream) { + const queue_ptr &stream) { const int64_t ne00 = src0->ne[0]; const int64_t row_diff = row_high - row_low; @@ -13812,7 +10268,7 @@ inline void ggml_sycl_op_dequantize_mul_mat_vec( // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics #ifdef GGML_SYCL_F16 - sycl_pool_alloc src1_dfloat_a; + ggml_sycl_pool_alloc src1_dfloat_a(ctx.pool()); sycl::half *src1_dfloat = nullptr; // dfloat == half bool src1_convert_f16 = @@ -13878,11 +10334,12 @@ inline void ggml_sycl_op_dequantize_mul_mat_vec( } inline void ggml_sycl_op_mul_mat_sycl( + 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 queue_ptr &stream) try { GGML_ASSERT(src0_dd_i != nullptr); GGML_ASSERT(src1_ddf_i != nullptr); @@ -13901,7 +10358,7 @@ inline void ggml_sycl_op_mul_mat_sycl( // the main device has a larger memory buffer to hold the results from all GPUs // ldc == nrows of the matrix that cuBLAS writes into - int ldc = dst->backend == GGML_BACKEND_TYPE_GPU && id == g_main_device ? ne0 : row_diff; + int ldc = id == ctx.device ? ne0 : row_diff; #ifdef GGML_SYCL_F16 bool use_fp16 = true; // TODO(Yu) SYCL capability check @@ -13913,7 +10370,7 @@ inline void ggml_sycl_op_mul_mat_sycl( dst->op_params[0] == GGML_PREC_DEFAULT) { // GGML_SYCL_DEBUG("ggml_sycl_op_mul_mat_sycl - fp16 path\n"); - sycl_pool_alloc src0_as_f16; + ggml_sycl_pool_alloc src0_as_f16(ctx.pool()); if (src0->type != GGML_TYPE_F16) { const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src0->type); GGML_ASSERT(to_fp16_sycl != nullptr); @@ -13925,7 +10382,7 @@ inline void ggml_sycl_op_mul_mat_sycl( ? (const sycl::half *)src0_dd_i : src0_as_f16.get(); - sycl_pool_alloc src1_as_f16; + ggml_sycl_pool_alloc src1_as_f16(ctx.pool()); if (src1->type != GGML_TYPE_F16) { const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); GGML_ASSERT(to_fp16_sycl != nullptr); @@ -13936,26 +10393,24 @@ inline void ggml_sycl_op_mul_mat_sycl( const sycl::half *src1_ptr = src1->type == GGML_TYPE_F16 ? (const sycl::half *)src1->data + src1_padded_row_size : src1_as_f16.get(); - sycl_pool_alloc dst_f16(row_diff * src1_ncols); + ggml_sycl_pool_alloc dst_f16(ctx.pool(), row_diff * src1_ncols); const sycl::half alpha_f16 = 1.0f; const sycl::half beta_f16 = 0.0f; - SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[id] = stream)); SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm( - *g_sycl_handles[id], oneapi::mkl::transpose::trans, + *stream, oneapi::mkl::transpose::trans, oneapi::mkl::transpose::nontrans, row_diff, src1_ncols, ne10, &alpha_f16, src0_ptr, dpct::library_data_t::real_half, ne00, src1_ptr, dpct::library_data_t::real_half, ne10, &beta_f16, dst_f16.get(), dpct::library_data_t::real_half, ldc, dpct::library_data_t::real_half))); - g_sycl_handles[id]->wait(); const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(GGML_TYPE_F16); to_fp32_sycl(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream); } else { // GGML_SYCL_DEBUG("ggml_sycl_op_mul_mat_sycl - fp32 path\n"); - sycl_pool_alloc src0_ddq_as_f32; - sycl_pool_alloc src1_ddq_as_f32; + ggml_sycl_pool_alloc src0_ddq_as_f32(ctx.pool()); + ggml_sycl_pool_alloc src1_ddq_as_f32(ctx.pool()); if (src0->type != GGML_TYPE_F32) { const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(src0->type); GGML_ASSERT(to_fp32_sycl != nullptr); @@ -13974,14 +10429,12 @@ inline void ggml_sycl_op_mul_mat_sycl( const float alpha = 1.0f; const float beta = 0.0f; - SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[id] = stream)); SYCL_CHECK(CHECK_TRY_ERROR(oneapi::mkl::blas::column_major::gemm( - *g_sycl_handles[id], oneapi::mkl::transpose::trans, + *stream, oneapi::mkl::transpose::trans, oneapi::mkl::transpose::nontrans, row_diff, src1_ncols, ne10, - dpct::get_value(&alpha, *g_sycl_handles[id]), src0_ddf_i, ne00, - src1_ddf1_i, ne10, dpct::get_value(&beta, *g_sycl_handles[id]), + dpct::get_value(&alpha, *stream), src0_ddf_i, ne00, + src1_ddf1_i, ne10, dpct::get_value(&beta, *stream), dst_dd_i, ldc))); - g_sycl_handles[id]->wait(); } (void) dst; (void) src1_ddq_i; @@ -13993,10 +10446,10 @@ catch (sycl::exception const &exc) { std::exit(1); } -inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { const ggml_tensor * src2 = dst->src[2]; GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); @@ -14084,10 +10537,10 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -static void ggml_sycl_op_pool2d(const ggml_tensor *src0, +static void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, - float *dst_dd, const dpct::queue_ptr &main_stream) { + float *dst_dd, const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14126,11 +10579,11 @@ static void ggml_sycl_op_pool2d(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_im2col(const ggml_tensor *src0, +inline void ggml_sycl_op_im2col(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); @@ -14167,11 +10620,11 @@ inline void ggml_sycl_op_im2col(const ggml_tensor *src0, (void) src0_dd; } -inline void ggml_sycl_op_sum_rows(const ggml_tensor *src0, +inline void ggml_sycl_op_sum_rows(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14186,11 +10639,11 @@ inline void ggml_sycl_op_sum_rows(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_argsort(const ggml_tensor *src0, +inline void ggml_sycl_op_argsort(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_I32); @@ -14207,11 +10660,11 @@ inline void ggml_sycl_op_argsort(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_diag_mask_inf(const ggml_tensor *src0, +inline void ggml_sycl_op_diag_mask_inf(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14229,11 +10682,11 @@ inline void ggml_sycl_op_diag_mask_inf(const ggml_tensor *src0, (void) src1_dd; } -inline void ggml_sycl_op_soft_max(const ggml_tensor *src0, +inline void ggml_sycl_op_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14256,10 +10709,10 @@ inline void ggml_sycl_op_soft_max(const ggml_tensor *src0, nrows_x, nrows_y, scale, max_bias, main_stream); } -inline void ggml_sycl_op_scale(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_scale(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14279,10 +10732,10 @@ inline void ggml_sycl_op_scale(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -inline void ggml_sycl_op_clamp(const ggml_tensor *src0, const ggml_tensor *src1, +inline void ggml_sycl_op_clamp(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const float *src0_dd, const float *src1_dd, float *dst_dd, - const dpct::queue_ptr &main_stream) { + const queue_ptr &main_stream) { GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -14304,7 +10757,7 @@ inline void ggml_sycl_op_clamp(const ggml_tensor *src0, const ggml_tensor *src1, (void) src1_dd; } -static void ggml_sycl_op_flatten(const ggml_tensor *src0, +static void ggml_sycl_op_flatten(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, const ggml_sycl_op_flatten_t op) try { const int64_t nrows0 = ggml_nrows(src0); @@ -14319,66 +10772,22 @@ static void ggml_sycl_op_flatten(const ggml_tensor *src0, ggml_tensor_extra_gpu * src1_extra = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr; ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - const bool src0_on_device = src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT; - const bool src1_on_device = use_src1 && src1->backend == GGML_BACKEND_TYPE_GPU; - const bool dst_on_device = dst->backend == GGML_BACKEND_TYPE_GPU; - // dd = data device - float * src0_ddf = nullptr; - float * src1_ddf = nullptr; - float * dst_ddf = nullptr; + float * src0_ddf = (float *) src0->data; + float * src1_ddf = use_src1 ? (float *) src1->data : nullptr; + float * dst_ddf = (float *) dst->data; - sycl_pool_alloc src0_f; - sycl_pool_alloc src1_f; - sycl_pool_alloc dst_f; + ggml_sycl_pool_alloc src0_f(ctx.pool()); + ggml_sycl_pool_alloc src1_f(ctx.pool()); + ggml_sycl_pool_alloc dst_f(ctx.pool()); - ggml_sycl_set_device(g_main_device); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; - // GGML_SYCL_DEBUG("g_main_device=%d, main_stream=%p src0_on_device=%d, src1_on_device=%d, dst_on_device=%d\n", - // g_main_device, main_stream, src0_on_device, src1_on_device, dst_on_device); + ggml_sycl_set_device(ctx.device); + queue_ptr main_stream = ctx.stream(); + // GGML_SYCL_DEBUG("ctx.device=%d, main_stream=%p src0_on_device=%d, src1_on_device=%d, dst_on_device=%d\n", + // ctx.device, main_stream, src0_on_device, src1_on_device, dst_on_device); - if (src0_on_device) { - src0_ddf = (float *) src0_extra->data_device[g_main_device]; - } else { - src0_ddf = src0_f.alloc(ggml_nelements(src0)); - // GGML_SYCL_DEBUG("before ggml_sycl_cpy_tensor_2d src0_ddf=%p, src0=%p\n", src0_ddf, src0); - SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src0_ddf, src0, 0, 0, 0, nrows0, main_stream)); - } - - if (use_src1) { - if (src1_on_device) { - src1_ddf = (float *) src1_extra->data_device[g_main_device]; - } else { - src1_ddf = src1_f.alloc(ggml_nelements(src1)); - SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src1_ddf, src1, 0, 0, 0, nrows1, main_stream)); - } - } - if (dst_on_device) { - dst_ddf = (float *) dst_extra->data_device[g_main_device]; - } else { - dst_ddf = dst_f.alloc(ggml_nelements(dst)); - } - - // GGML_SYCL_DEBUG("op src0=%p, src1=%p, dst=%p, src0_ddf=%p, src1_ddf=%p, dst_ddf=%p, main_stream=%p\n", - // src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream); // do the computation - op(src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream); - /* - DPCT1010:89: SYCL uses exceptions to report errors and does not use the - error codes. The call was replaced with 0. You need to rewrite this code. - */ - SYCL_CHECK(0); - - // copy dst to host if necessary - if (!dst_on_device) { - SYCL_CHECK(CHECK_TRY_ERROR( - main_stream->memcpy(dst->data, dst_ddf, ggml_nbytes(dst)).wait())); - } - - if (dst->backend == GGML_BACKEND_TYPE_CPU) { - SYCL_CHECK(CHECK_TRY_ERROR( - dpct::get_current_device().queues_wait_and_throw())); - } + op(ctx, src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream); // print_ggml_tensor("tensor", dst); } catch (sycl::exception const &exc) { @@ -14388,7 +10797,7 @@ catch (sycl::exception const &exc) { std::exit(1); } -static void ggml_sycl_set_peer_access(const int n_tokens) { +static void ggml_sycl_set_peer_access(const int n_tokens, int main_device) { static bool peer_access_enabled = false; const bool enable_peer_access = n_tokens <= GGML_SYCL_PEER_MAX_BATCH_SIZE; @@ -14398,19 +10807,18 @@ static void ggml_sycl_set_peer_access(const int n_tokens) { } #ifdef NDEBUG - for (int i = 0; i < g_device_count; ++i) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { SYCL_CHECK(ggml_sycl_set_device(i)); - // SYCL_CHECK(syclDeviceSynchronize()); } - for (int i = 0; i < g_device_count; ++i) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { SYCL_CHECK(ggml_sycl_set_device(i)); - for (int id_other = 0; id_other < g_device_count; ++id_other) { + for (int id_other = 0; id_other < ggml_sycl_info().device_count; ++id_other) { if (i == id_other) { continue; } - if (i != g_main_device && id_other != g_main_device) { + if (i != main_device && id_other != main_device) { continue; } @@ -14434,7 +10842,7 @@ struct ggml_backend_sycl_split_buffer_type_context { std::array tensor_split; }; -static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, +static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst, ggml_sycl_op_mul_mat_t op, const bool convert_src1_to_q8_1) try { @@ -14469,7 +10877,6 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - const bool src0_on_device = src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT; const bool src0_is_contiguous = ggml_is_contiguous(src0); const bool src1_is_contiguous = ggml_is_contiguous(src1); @@ -14489,10 +10896,10 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } struct dev_data { - sycl_pool_alloc src0_dd_alloc; - sycl_pool_alloc src1_ddf_alloc; - sycl_pool_alloc src1_ddq_alloc; - sycl_pool_alloc dst_dd_alloc; + ggml_sycl_pool_alloc src0_dd_alloc; + ggml_sycl_pool_alloc src1_ddf_alloc; + ggml_sycl_pool_alloc src1_ddq_alloc; + ggml_sycl_pool_alloc dst_dd_alloc; char *src0_dd = nullptr; float *src1_ddf = nullptr; // float @@ -14506,9 +10913,9 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, dev_data dev[GGML_SYCL_MAX_DEVICES]; int used_devices = 0; - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + queue_ptr main_stream = ctx.stream(); - for (int i = 0; i < g_device_count; ++i) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { // by default, use all rows dev[i].row_low = 0; dev[i].row_high = ne01; @@ -14525,7 +10932,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } } - if (i != g_device_count - 1) { + if (i != ggml_sycl_info().device_count - 1) { dev[i].row_high = ne01*tensor_split[i + 1]; if (dev[i].row_high < ne01) { dev[i].row_high -= dev[i].row_high % rounding; @@ -14534,33 +10941,33 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } } - for (int i = 0; i < g_device_count; ++i) { - if ((!split && i != g_main_device) || dev[i].row_low == dev[i].row_high) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { + if ((!split && i != ctx.device) || dev[i].row_low == dev[i].row_high) { continue; } used_devices++; - const bool src1_on_device = src1->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device; - const bool dst_on_device = dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device; + const bool src1_on_device = i == ctx.device; + const bool dst_on_device = i == ctx.device; ggml_sycl_set_device(i); - dpct::queue_ptr stream = g_syclStreams[i][0]; + queue_ptr stream = ctx.stream(i, 0); - if (src0_on_device && src0_is_contiguous) { - dev[i].src0_dd = (char *) src0_extra->data_device[i]; + if (src0_is_contiguous) { + dev[i].src0_dd = (char *) src0->data; } else { - dev[i].src0_dd = dev[i].src0_dd_alloc.alloc(ggml_nbytes(src0)); + dev[i].src0_dd = dev[i].src0_dd_alloc.alloc(ctx.pool(i), ggml_nbytes(src0)); } if (src1_on_device && src1_is_contiguous) { - dev[i].src1_ddf = (float *) src1_extra->data_device[i]; + dev[i].src1_ddf = (float *) src1->data; } else { - dev[i].src1_ddf = dev[i].src1_ddf_alloc.alloc(ggml_nelements(src1)); + dev[i].src1_ddf = dev[i].src1_ddf_alloc.alloc(ctx.pool(i), ggml_nelements(src1)); } if (convert_src1_to_q8_1) { - dev[i].src1_ddq = dev[i].src1_ddq_alloc.alloc(nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs); + dev[i].src1_ddq = dev[i].src1_ddq_alloc.alloc(ctx.pool(i), nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs); if (src1_on_device && src1_is_contiguous) { quantize_row_q8_1_sycl(dev[i].src1_ddf, dev[i].src1_ddq, ne10, nrows1, src1_padded_col_size, stream); @@ -14574,53 +10981,53 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } if (dst_on_device) { - dev[i].dst_dd = (float *) dst_extra->data_device[i]; + dev[i].dst_dd = (float *) dst->data; } else { const size_t size_dst_ddf = split ? (dev[i].row_high - dev[i].row_low)*ne1 : ggml_nelements(dst); - dev[i].dst_dd = dev[i].dst_dd_alloc.alloc(size_dst_ddf); + dev[i].dst_dd = dev[i].dst_dd_alloc.alloc(ctx.pool(i), size_dst_ddf); } } // if multiple devices are used they need to wait for the main device // here an event is recorded that signals that the main device has finished calculating the input data if (split && used_devices > 1) { - ggml_sycl_set_device(g_main_device); + ggml_sycl_set_device(ctx.device); /* DPCT1024:91: The original code returned the error code that was further consumed by the program logic. This original code was replaced with 0. You may need to rewrite the program logic consuming the error code. */ SYCL_CHECK(CHECK_TRY_ERROR( - *src0_extra->events[g_main_device][0] = - g_syclStreams[g_main_device][0]->ext_oneapi_submit_barrier())); + *src0_extra->events[ctx.device][0] = + ctx.stream()->ext_oneapi_submit_barrier())); } const int64_t src1_col_stride = split && used_devices > 1 ? MUL_MAT_SRC1_COL_STRIDE : ne11; for (int64_t src1_col_0 = 0; src1_col_0 < ne11; src1_col_0 += src1_col_stride) { - const int64_t is = split ? (src1_col_0/src1_col_stride) % MAX_STREAMS : 0; + const int64_t is = split ? (src1_col_0/src1_col_stride) % GGML_SYCL_MAX_STREAMS : 0; const int64_t src1_ncols = src1_col_0 + src1_col_stride > ne11 ? ne11 - src1_col_0 : src1_col_stride; - for (int i = 0; i < g_device_count; ++i) { - if ((!split && i != g_main_device) || dev[i].row_low == dev[i].row_high) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { + if ((!split && i != ctx.device) || dev[i].row_low == dev[i].row_high) { continue; } - const bool src1_on_device = src1->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device; - const bool dst_on_device = dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device; + const bool src1_on_device = i == ctx.device; + const bool dst_on_device = i == ctx.device; const int64_t row_diff = dev[i].row_high - dev[i].row_low; ggml_sycl_set_device(i); - dpct::queue_ptr stream = g_syclStreams[i][is]; + queue_ptr stream = ctx.stream(i, is); // wait for main GPU data if necessary - if (split && (i != g_main_device || is != 0)) { + if (split && (i != ctx.device || is != 0)) { /* DPCT1009:163: SYCL uses exceptions to report errors and does not use the error codes. The original code was commented out and a warning string was inserted. You need to rewrite this code. */ SYCL_CHECK(CHECK_TRY_ERROR(stream->ext_oneapi_submit_barrier( - {*src0_extra->events[g_main_device][0]}))); + {*src0_extra->events[ctx.device][0]}))); } for (int64_t i0 = 0; i0 < ne13*ne12; ++i0) { @@ -14637,22 +11044,22 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, // the main device memory buffer can be on VRAM scratch, with space for all partial results // in that case an offset on dst_ddf_i is needed - if (dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device) { + if (i == ctx.device) { dst_dd_i += dev[i].row_low; // offset is 0 if no tensor split } // copy src0, src1 to device if necessary - if (src1->backend == GGML_BACKEND_TYPE_GPU && src1_is_contiguous) { - if (i != g_main_device) { + if (src1_is_contiguous) { + if (i != ctx.device) { if (convert_src1_to_q8_1) { - char * src1_ddq_i_source = dev[g_main_device].src1_ddq + src1_ddq_i_offset; + char * src1_ddq_i_source = dev[ctx.device].src1_ddq + src1_ddq_i_offset; SYCL_CHECK(CHECK_TRY_ERROR(stream->memcpy( src1_ddq_i, src1_ddq_i_source, src1_ncols * src1_padded_col_size * q8_1_ts / q8_1_bs).wait())); } else { - float * src1_ddf_i_source = (float *) src1_extra->data_device[g_main_device]; + float * src1_ddf_i_source = (float *) src1_extra->data_device[ctx.device]; src1_ddf_i_source += (i0*ne11 + src1_col_0) * ne10; SYCL_CHECK(CHECK_TRY_ERROR(dev2dev_memcpy(*stream, *main_stream, @@ -14660,14 +11067,14 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, src1_ncols * ne10 * sizeof(float)))); } } - } else if (src1->backend == GGML_BACKEND_TYPE_CPU || (src1_on_device && !src1_is_contiguous)) { + } else if (src1_on_device && !src1_is_contiguous) { SYCL_CHECK(ggml_sycl_cpy_tensor_2d( src1_ddf_i, src1, i03, i02, src1_col_0, src1_col_0+src1_ncols, stream)); } else { GGML_ASSERT(false); } - if (convert_src1_to_q8_1 && (src1->backend == GGML_BACKEND_TYPE_CPU || !src1_is_contiguous)) { + if (convert_src1_to_q8_1 && !src1_is_contiguous) { quantize_row_q8_1_sycl(src1_ddf_i, src1_ddq_i, ne10, src1_ncols, src1_padded_col_size, stream); /* DPCT1010:92: SYCL uses exceptions to report errors and does @@ -14677,14 +11084,14 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, SYCL_CHECK(0); } - if (src1_col_0 == 0 && (!src0_on_device || !src0_is_contiguous) && i02 % i02_divisor == 0) { + if (src1_col_0 == 0 && !src0_is_contiguous && i02 % i02_divisor == 0) { SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src0_dd_i, src0, i03, i02/i02_divisor, dev[i].row_low, dev[i].row_high, stream)); } if (src1->type == GGML_TYPE_F16) { src1_padded_col_size = (i0 * ne11 + src1_col_0) * ne10; } // do the computation - SYCL_CHECK(CHECK_TRY_ERROR(op(src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i, + SYCL_CHECK(CHECK_TRY_ERROR(op(ctx, src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i, dev[i].row_low, dev[i].row_high, src1_ncols, src1_padded_col_size, stream))); /* DPCT1010:93: SYCL uses exceptions to report errors and does not @@ -14695,17 +11102,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, // copy dst to host or other device if necessary if (!dst_on_device) { - void * dst_off_device; - dpct::memcpy_direction kind; - if (dst->backend == GGML_BACKEND_TYPE_CPU) { - dst_off_device = dst->data; - kind = dpct::device_to_host; - } else if (dst->backend == GGML_BACKEND_TYPE_GPU) { - dst_off_device = dst_extra->data_device[g_main_device]; - kind = dpct::device_to_device; - } else { - GGML_ASSERT(false); - } + void * dst_off_device = dst->data; if (split) { // src0 = weight matrix is saved as a transposed matrix for better memory layout. // dst is NOT transposed. @@ -14716,27 +11113,10 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, GGML_ASSERT(dst->nb[1] == ne0*sizeof(float)); dhf_dst_i += src1_col_0*ne0 + dev[i].row_low; - //todo, dirty solution. Need be updated when device2device memcpy() is supported. - if (kind == dpct::device_to_device) { - size_t dst_size = ggml_nbytes_pad(dst); - float *host_buf = (float *)malloc(dst_size); - SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy( - host_buf, ne0 * sizeof(float), dst_dd_i, - row_diff * sizeof(float), row_diff * sizeof(float), - src1_ncols, dpct::device_to_host, *stream))); - dpct::dev_mgr::instance().get_device(g_sycl_gpu_mgr->gpus[i]).queues_wait_and_throw(); - SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy( - dhf_dst_i, ne0 * sizeof(float), host_buf, - row_diff * sizeof(float), row_diff * sizeof(float), - src1_ncols, dpct::host_to_device, *main_stream))); - dpct::dev_mgr::instance().get_device(g_sycl_gpu_mgr->gpus[g_main_device]).queues_wait_and_throw(); - free(host_buf); - } else { - SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy( - dhf_dst_i, ne0 * sizeof(float), dst_dd_i, - row_diff * sizeof(float), row_diff * sizeof(float), - src1_ncols, kind, *stream))); - } + SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy( + dhf_dst_i, ne0 * sizeof(float), dst_dd_i, + row_diff * sizeof(float), row_diff * sizeof(float), + src1_ncols, dpct::device_to_device, *stream))); } else { float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3); GGML_ASSERT(dst->nb[1] == ne0*sizeof(float)); @@ -14748,7 +11128,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } // add event for the main device to wait on until other device is done - if (split && (i != g_main_device || is != 0)) { + if (split && (i != ctx.device || is != 0)) { /* DPCT1024:94: The original code returned the error code that was further consumed by the program logic. This original @@ -14764,28 +11144,22 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0, } // main device waits for all other devices to be finished - if (split && g_device_count > 1) { + if (split && ggml_sycl_info().device_count > 1) { int64_t is_max = (ne11 + MUL_MAT_SRC1_COL_STRIDE - 1) / MUL_MAT_SRC1_COL_STRIDE; - is_max = is_max <= MAX_STREAMS ? is_max : MAX_STREAMS; + is_max = is_max <= GGML_SYCL_MAX_STREAMS ? is_max : GGML_SYCL_MAX_STREAMS; - ggml_sycl_set_device(g_main_device); - for (int i = 0; i < g_device_count; ++i) { + ggml_sycl_set_device(ctx.device); + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { if (dev[i].row_low == dev[i].row_high) { continue; } for (int64_t is = 0; is < is_max; ++is) { SYCL_CHECK(CHECK_TRY_ERROR( - g_syclStreams[g_main_device][0]->ext_oneapi_submit_barrier( + ctx.stream()->ext_oneapi_submit_barrier( {*src0_extra->events[i][is]}))); } } } - - if (dst->backend == GGML_BACKEND_TYPE_CPU) { - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - SYCL_CHECK(CHECK_TRY_ERROR( - dpct::get_current_device().queues_wait_and_throw())); - } } catch (sycl::exception const &exc) { std::cerr << exc.what() << "Exception caught at file:" << __FILE__ @@ -14794,149 +11168,134 @@ catch (sycl::exception const &exc) { } -static void ggml_sycl_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_repeat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_repeat); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_repeat); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_get_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_get_rows(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_get_rows); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_get_rows); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_add(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_add(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_add); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_add); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_acc(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_acc(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_acc); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_acc); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_mul(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_mul); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_mul); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_div(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_div(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_div); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_div); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_gelu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_gelu); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_silu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_silu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_silu); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_silu); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_gelu_quick(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_gelu_quick); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu_quick); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_tanh(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_tanh); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_tanh); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_relu); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_relu); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_hardsigmoid(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_hardsigmoid); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardsigmoid); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_hardswish(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_hardswish); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardswish); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_leaky_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_leaky_relu); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_leaky_relu); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_sqr(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_sqr); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sqr); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_norm); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_norm); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_group_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_group_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_group_norm); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_group_norm); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_concat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_concat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_concat); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_concat); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_upscale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_upscale); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_upscale); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_pad(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_pad(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_pad); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_pad); GGML_SYCL_DEBUG("call %s done\n", __func__); } -static void ggml_sycl_rms_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_rms_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_SYCL_DEBUG("call %s\n", __func__); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_rms_norm); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_rms_norm); GGML_SYCL_DEBUG("call %s done\n", __func__); } -bool ggml_sycl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - if (!g_sycl_loaded) return false; - - const int64_t ne10 = src1->ne[0]; - - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; - - // TODO: find the optimal values for these - return (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && - src1->type == GGML_TYPE_F32 && - dst->type == GGML_TYPE_F32 && - (ne0 >= 32 && ne1 >= 32 && ne10 >= 32); -} - -static void ggml_sycl_mul_mat_vec_p021(const ggml_tensor *src0, +static void ggml_sycl_mul_mat_vec_p021(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst) try { GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1)); @@ -14952,17 +11311,12 @@ static void ggml_sycl_mul_mat_vec_p021(const ggml_tensor *src0, const int64_t ne12 = src1->ne[2]; - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + queue_ptr main_stream = ctx.stream(); - ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; - void * src0_ddq = src0_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; - float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; + void * src0_ddq = src0->data; + float * src1_ddf = (float *) src1->data; + float * dst_ddf = (float *) dst->data; ggml_mul_mat_p021_f16_f32_sycl(src0_ddq, src1_ddf, dst_ddf, ne00, ne01, ne02, ne12, main_stream); } @@ -14972,7 +11326,7 @@ catch (sycl::exception const &exc) { std::exit(1); } -static void ggml_sycl_mul_mat_vec_nc(const ggml_tensor *src0, +static void ggml_sycl_mul_mat_vec_nc(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst) try { GGML_ASSERT(!ggml_is_transposed(src0)); @@ -14991,17 +11345,12 @@ static void ggml_sycl_mul_mat_vec_nc(const ggml_tensor *src0, const int64_t ne12 = src1->ne[2]; - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + queue_ptr main_stream = ctx.stream(); - ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; - void * src0_ddq = src0_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; - float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; + void * src0_ddq = src0->data; + float * src1_ddf = (float *) src1->data; + float * dst_ddf = (float *) dst->data; const int64_t row_stride_x = nb01 / sizeof(sycl::half); const int64_t channel_stride_x = nb02 / sizeof(sycl::half); @@ -15039,7 +11388,8 @@ static void k_compute_batched_ptrs(const sycl::half *src0_as_f16, ptrs_dst[0*ne23 + i12 + i13*ne12] = ( char *) dst + i12*nbd2 + i13*nbd3; } -static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, +static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, + const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst) try { GGML_ASSERT(!ggml_is_transposed(src0)); @@ -15051,27 +11401,20 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, const int64_t ne_dst = ggml_nelements(dst); - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + queue_ptr main_stream = ctx.stream();; bool no_mixed_dtypes = main_stream->get_backend() == sycl::backend::ext_oneapi_cuda || main_stream->get_backend() == sycl::backend::ext_oneapi_hip; - SYCL_CHECK( - CHECK_TRY_ERROR(g_sycl_handles[g_main_device] = main_stream)); - ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; - void * src0_ddq = src0_extra->data_device[g_main_device]; + void * src0_ddq = src0->data; sycl::half *src0_as_f16 = (sycl::half *)src0_ddq; - - ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; - float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; + float * src1_ddf = (float *) src1->data; + float * dst_ddf = (float *) dst->data; // convert src1 to fp16 - sycl_pool_alloc src1_f16_alloc; + ggml_sycl_pool_alloc src1_f16_alloc(ctx.pool()); if (src1->type != GGML_TYPE_F16) { const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); const int64_t ne_src1 = ggml_nelements(src1); @@ -15082,7 +11425,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, sycl::half *src1_f16 = src1->type == GGML_TYPE_F16 ? (sycl::half *)src1_ddf : src1_f16_alloc.get(); - sycl_pool_alloc dst_f16; + ggml_sycl_pool_alloc dst_f16(ctx.pool()); char * dst_t; dpct::library_data_t cu_compute_type = dpct::library_data_t::real_float; @@ -15130,7 +11473,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, if (r2 == 1 && r3 == 1 && ggml_is_contiguous_2(src0) && ggml_is_contiguous_2(src1)) { // there is no broadcast and src0, src1 are contiguous across dims 2, 3 SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch( - *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans, + *main_stream, oneapi::mkl::transpose::trans, oneapi::mkl::transpose::nontrans, ne01, ne11, ne10, alpha, (const char *)src0_as_f16, dpct::library_data_t::real_half, nb01 / nb00, nb02 / nb00, @@ -15141,8 +11484,8 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, } else { const int ne23 = ne12*ne13; - sycl_pool_alloc ptrs_src(2*ne23); - sycl_pool_alloc< void *> ptrs_dst(1*ne23); + ggml_sycl_pool_alloc ptrs_src(ctx.pool(), 2*ne23); + ggml_sycl_pool_alloc< void *> ptrs_dst(ctx.pool(), 1*ne23); sycl::range<3> block_dims(1, ne12, ne13); /* @@ -15171,7 +11514,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0, }); } SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch( - *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans, + *main_stream, oneapi::mkl::transpose::trans, oneapi::mkl::transpose::nontrans, ne01, ne11, ne10, alpha, (const void **)(ptrs_src.get() + 0 * ne23), dpct::library_data_t::real_half, nb01 / nb00, @@ -15216,19 +11559,26 @@ bool ggml_sycl_supports_dmmv(enum ggml_type type) { } } -static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - const bool all_on_device = - (src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT) && - (src1->backend == GGML_BACKEND_TYPE_GPU) && - ( dst->backend == GGML_BACKEND_TYPE_GPU); - - const bool split = src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT; +static void ggml_sycl_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + const bool split = ggml_backend_buffer_is_sycl_split(src0->buffer); int64_t min_compute_capability = INT_MAX; - for (int i = 0; i < g_device_count; ++i) { - if (min_compute_capability > g_device_caps[i].cc && g_tensor_split[i] < (i + 1 < g_device_count ? g_tensor_split[i + 1] : 1.0f)) { - min_compute_capability = g_device_caps[i].cc; + + if (split) { + ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *) src0->buffer->buft->context; + auto & tensor_split = buft_ctx->tensor_split; + for (int id = 0; id < ggml_sycl_info().device_count; ++id) { + // skip devices that are not going to do any work: + if (tensor_split[id] >= (id + 1 < ggml_sycl_info().device_count ? tensor_split[id + 1] : 1.0f)) { + continue; + } + + if (min_compute_capability > ggml_sycl_info().devices[id].cc) { + min_compute_capability = ggml_sycl_info().devices[id].cc; + } } + } else { + min_compute_capability = ggml_sycl_info().devices[ctx.device].cc; } // check data types and tensor shapes for custom matrix multiplication kernels: @@ -15252,196 +11602,24 @@ static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1 if (!split && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) { // KQ single-batch - ggml_sycl_mul_mat_vec_p021(src0, src1, dst); + ggml_sycl_mul_mat_vec_p021(ctx, src0, src1, dst); } else if (!split && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) { // KQV single-batch - ggml_sycl_mul_mat_vec_nc(src0, src1, dst); + ggml_sycl_mul_mat_vec_nc(ctx, src0, src1, dst); } else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16) && !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) { // KQ + KQV multi-batch - ggml_sycl_mul_mat_batched_sycl(src0, src1, dst); + ggml_sycl_mul_mat_batched_sycl(ctx, src0, src1, dst); } else if (use_dequantize_mul_mat_vec) { - ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false); + ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false); } else if (use_mul_mat_vec_q) { - ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true); + ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true); } else if (use_mul_mat_q) { - ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_q, true); + ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_q, true); } else { - ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false); + ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false); } } -#if 0 -template -static __global__ void k_compute_batched_ptrs_id( - const void ** ptrs_src, void ** ptrs_dst, - int ne12, int ne13, - int ne23, - int nb02, int nb03, - int nb12, int nb13, - int nb2, int nb3, - int r2, int r3, - ggml_type src0_type, half * src0_as_f16, int64_t src0_ne, - const half * src1_f16, half * dst_f16, - const int32_t * ids, const int id, - Srcs... src0s) { - - int i = ids[id]; - - half * src0_f16; - const void * srcs_ar[] = { (const half *) src0s... }; - if (src0_type == GGML_TYPE_F16) { - src0_f16 = (half *) srcs_ar[i]; - } else { - src0_f16 = src0_as_f16; - if (item_ct1.get_local_id(2) == 0 && threadIdx.y == 0) { - const to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(src0_type); - to_fp16(srcs_ar[i], src0_f16, src0_ne, syclStreamFireAndForget); - } - } - - int i13 = blockIdx.x * blockDim.x + item_ct1.get_local_id(2); - int i12 = blockIdx.y * blockDim.y + threadIdx.y; - - if (i13 >= ne13 || i12 >= ne12) { - return; - } - - int i03 = i13 / r3; - int i02 = i12 / r2; - - ptrs_src[0*ne23 + i12 + i13*ne12] = (const char *) src0_f16 + i02*nb02 + i03*nb03; - ptrs_src[1*ne23 + i12 + i13*ne12] = (const char *) src1_f16 + i12*nb12/2 + i13*nb13/2; - ptrs_dst[0*ne23 + i12 + i13*ne12] = ( char *) dst_f16 + i12* nb2/2 + i13* nb3/2; -} - -static void ggml_sycl_mul_mat_id_sycl(ggml_tensor * dst) { - const struct ggml_tensor * ids = dst->src[0]; - const struct ggml_tensor * src1 = dst->src[1]; - const struct ggml_tensor * src00 = dst->src[2]; - - const int id = dst->op_params[0]; - - GGML_ASSERT(!ggml_is_transposed(src00)); - GGML_ASSERT(!ggml_is_transposed(src1)); - - GGML_ASSERT(src00->backend != GGML_BACKEND_TYPE_GPU_SPLIT); - GGML_ASSERT(src1->type == GGML_TYPE_F32); - - GGML_TENSOR_LOCALS(int64_t, ne0, src00, ne); - - //const int64_t nb01 = src00->nb[1]; - GGML_TENSOR_LOCALS(int64_t, nb0, src00, nb); - - GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne); - - GGML_TENSOR_LOCALS(int64_t, nb1, src1, nb); - //const int64_t nb11 = src1->nb[1]; - - const int64_t ne1 = ggml_nelements(src1); - const int64_t ne = ggml_nelements(dst); - - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - syclStream_t main_stream = g_syclStreams[g_main_device][0]; - - SYCL_CHECK(syclSetStream(g_sycl_handles[g_main_device], main_stream)); - - //ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; - //void * src0_ddq = src0_extra->data_device[g_main_device]; - //half * src0_as_f16 = (half *) src0_ddq; - - ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; - float * src1_ddf = (float *) src1_extra->data_device[g_main_device]; - - ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - float * dst_ddf = (float *) dst_extra->data_device[g_main_device]; - - // convert src1 to fp16 - const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type); - GGML_ASSERT(to_fp16_sycl != nullptr); - - size_t src1_as = 0; - half * src1_as_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, ne1 * sizeof(half), &src1_as); - to_fp16_sycl(src1_ddf, src1_as_f16, ne1, main_stream); - - size_t dst_as = 0; - half * dst_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, ne * sizeof(half), &dst_as); - - GGML_ASSERT(ne12 % ne02 == 0); - GGML_ASSERT(ne13 % ne03 == 0); - - // broadcast factors - const int64_t r2 = ne12/ne02; - const int64_t r3 = ne13/ne03; - - const half alpha_f16 = 1.0f; - const half beta_f16 = 0.0f; - - // use syclGemmBatchedEx - const int ne23 = ne12*ne13; - - const void ** ptrs_src = nullptr; - void ** ptrs_dst = nullptr; - - size_t ptrs_src_s = 0; - size_t ptrs_dst_s = 0; - - ptrs_src = (const void **) ggml_sycl_pool_malloc(g_main_device, 2*ne23*sizeof(void *), &ptrs_src_s); - ptrs_dst = ( void **) ggml_sycl_pool_malloc(g_main_device, 1*ne23*sizeof(void *), &ptrs_dst_s); - - int64_t src0_ne = ggml_nelements(src00); - half * src0_as_f16 = nullptr; - size_t src0_as = 0; - if (src00->type != GGML_TYPE_F16) { - src0_as_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, src0_ne * sizeof(half), &src0_as); - } - - static_assert(GGML_MAX_SRC == 6, "GGML_MAX_SRC == 6"); - dim3 block_dims(ne13, ne12); - k_compute_batched_ptrs_id<<<1, block_dims, 0, main_stream>>>( - ptrs_src, ptrs_dst, - ne12, ne13, - ne23, - ne00*ne01*sizeof(half), ne00*ne01*ne02*sizeof(half), - nb12, nb13, - dst->nb[2], dst->nb[3], - r2, r3, - src00->type, src0_as_f16, src0_ne, - src1_as_f16, dst_f16, - (const int *)((ggml_tensor_extra_gpu *)ids->extra)->data_device[g_main_device], id, - dst->src[2] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[2]->extra)->data_device[g_main_device] : nullptr, - dst->src[3] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[3]->extra)->data_device[g_main_device] : nullptr, - dst->src[4] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[4]->extra)->data_device[g_main_device] : nullptr, - dst->src[5] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[5]->extra)->data_device[g_main_device] : nullptr - ); - SYCL_CHECK(syclGetLastError()); - - SYCL_CHECK( - syclGemmBatchedEx(g_sycl_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N, - ne01, ne11, ne10, - &alpha_f16, (const void **) (ptrs_src + 0*ne23), SYCL_R_16F, ne00, - (const void **) (ptrs_src + 1*ne23), SYCL_R_16F, ne10, - &beta_f16, ( void **) (ptrs_dst + 0*ne23), SYCL_R_16F, ne01, - ne23, - CUBLAS_COMPUTE_16F, - CUBLAS_GEMM_DEFAULT_TENSOR_OP)); - - if (src0_as != 0) { - ggml_sycl_pool_free(g_main_device, src0_as_f16, src0_as); - } - if (ptrs_src_s != 0) { - ggml_sycl_pool_free(g_main_device, ptrs_src, ptrs_src_s); - } - if (ptrs_dst_s != 0) { - ggml_sycl_pool_free(g_main_device, ptrs_dst, ptrs_dst_s); - } - - const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(GGML_TYPE_F16); - to_fp32_sycl(dst_f16, dst_ddf, ne, main_stream); - - ggml_sycl_pool_free(g_main_device, src1_as_f16, src1_as); - ggml_sycl_pool_free(g_main_device, dst_f16, dst_as); -} -#endif struct mmid_row_mapping { int32_t i1; @@ -15508,7 +11686,7 @@ __dpct_inline__ static void k_copy_dst_from_contiguous( } } -static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, +static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst) try { GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer) && "mul_mat_id does not support split buffers"); @@ -15516,7 +11694,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, const ggml_tensor *ids = dst->src[2]; GGML_TENSOR_BINARY_OP_LOCALS - const dpct::queue_ptr stream = g_syclStreams[g_main_device][0]; + const queue_ptr stream = ctx.stream(); const int64_t n_as = ne02; const int64_t n_ids = ids->ne[0]; @@ -15552,13 +11730,13 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, char *src0_original = src1->backend == GGML_BACKEND_TYPE_CPU ? (char *)src0->data - : (char *)src0_extra->data_device[g_main_device]; + : (char *)src0_extra->data_device[ctx.device]; char *src1_original = src1->backend == GGML_BACKEND_TYPE_CPU ? (char *)src1->data - : (char *)src1_extra->data_device[g_main_device]; + : (char *)src1_extra->data_device[ctx.device]; char *dst_original = dst->backend == GGML_BACKEND_TYPE_CPU ? (char *)dst->data - : (char *)dst_extra->data_device[g_main_device]; + : (char *)dst_extra->data_device[ctx.device]; src0_row.ne[2] = 1; src0_row.ne[3] = 1; @@ -15587,22 +11765,22 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, const int64_t i1 = id; const int64_t i2 = i12; - src0_row_extra.data_device[g_main_device] = + src0_row_extra.data_device[ctx.device] = src0_original + i02*nb02; - src1_row_extra.data_device[g_main_device] = + src1_row_extra.data_device[ctx.device] = src1_original + + i11*nb11 + i12*nb12; - dst_row_extra.data_device[g_main_device] = + dst_row_extra.data_device[ctx.device] = dst_original + i1*nb1 + i2*nb2; - ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row); + ggml_sycl_mul_mat(ctx, &src0_row, &src1_row, &dst_row); } } } else { - sycl_pool_alloc src1_contiguous(sizeof(float)*ggml_nelements(src1)); - sycl_pool_alloc dst_contiguous(sizeof(float)*ggml_nelements(dst)); + ggml_sycl_pool_alloc src1_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(src1)); + ggml_sycl_pool_alloc dst_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(dst)); - src1_row_extra.data_device[g_main_device] = src1_contiguous.get(); - dst_row_extra.data_device[g_main_device] = dst_contiguous.get(); + src1_row_extra.data_device[ctx.device] = src1_contiguous.get(); + dst_row_extra.data_device[ctx.device] = dst_contiguous.get(); for (int64_t i02 = 0; i02 < n_as; i02++) { int64_t num_src1_rows = 0; @@ -15625,8 +11803,8 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, } - sycl_pool_alloc dev_cur_src1_row(1); - sycl_pool_alloc dev_row_mapping(num_src1_rows); + ggml_sycl_pool_alloc dev_cur_src1_row(ctx.pool(), 1); + ggml_sycl_pool_alloc dev_row_mapping(ctx.pool(), num_src1_rows); SYCL_CHECK(CHECK_TRY_ERROR( stream->memset(dev_cur_src1_row.get(), 0, sizeof(int)))); @@ -15658,7 +11836,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, }); } - src0_row_extra.data_device[g_main_device] = src0_original + i02*nb02; + src0_row_extra.data_device[ctx.device] = src0_original + i02*nb02; GGML_ASSERT(nb11 == sizeof(float)*ne10); GGML_ASSERT(nb1 == sizeof(float)*ne0); @@ -15673,7 +11851,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0, dst_row.nb[2] = num_src1_rows*nb1; dst_row.nb[3] = num_src1_rows*nb1; - ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row); + ggml_sycl_mul_mat(ctx, &src0_row, &src1_row, &dst_row); { sycl::range<3> block_dims(1, 1, std::min((unsigned int)ne0, 768u)); @@ -15703,35 +11881,29 @@ catch (sycl::exception const &exc) { std::exit(1); } -static void ggml_sycl_scale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_scale); +static void ggml_sycl_scale(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_scale); } -static void ggml_sycl_clamp(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_clamp); +static void ggml_sycl_clamp(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_clamp); } -static void ggml_sycl_cpy(const ggml_tensor *src0, const ggml_tensor *src1, +static void ggml_sycl_cpy(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst) try { const int64_t ne = ggml_nelements(src0); GGML_ASSERT(ne == ggml_nelements(src1)); - GGML_ASSERT(src0->backend == GGML_BACKEND_TYPE_GPU); - GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU); - GGML_ASSERT(ggml_nbytes(src0) <= INT_MAX); GGML_ASSERT(ggml_nbytes(src1) <= INT_MAX); GGML_TENSOR_BINARY_OP_LOCALS; - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0]; + SYCL_CHECK(ggml_sycl_set_device(ctx.device)); + queue_ptr main_stream = ctx.stream(); - const ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra; - const ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra; - - char * src0_ddc = (char *) src0_extra->data_device[g_main_device]; - char * src1_ddc = (char *) src1_extra->data_device[g_main_device]; + char * src0_ddc = (char *) src0->data; + char * src1_ddc = (char *) src1->data; if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) { ggml_cpy_f32_f32_sycl (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream); @@ -15765,44 +11937,44 @@ catch (sycl::exception const &exc) { std::exit(1); } -static void ggml_sycl_dup(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_dup(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { // TODO: why do we pass dst as src1 here? - ggml_sycl_cpy(src0, dst, nullptr); + ggml_sycl_cpy(ctx, src0, dst, nullptr); (void) src1; } -static void ggml_sycl_diag_mask_inf(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_diag_mask_inf); +static void ggml_sycl_diag_mask_inf(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_diag_mask_inf); } -static void ggml_sycl_soft_max(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_soft_max); +static void ggml_sycl_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_soft_max); } -static void ggml_sycl_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_rope(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(ggml_is_contiguous(src0)); // TODO: this restriction is temporary until non-cont support is implemented - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_rope); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_rope); } -static void ggml_sycl_pool2d(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_pool2d); +static void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_pool2d); } -static void ggml_sycl_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_im2col); +static void ggml_sycl_im2col(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_im2col); } -static void ggml_sycl_sum_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_sum_rows(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(ggml_is_contiguous(src0)); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_sum_rows); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sum_rows); } -static void ggml_sycl_argsort(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_argsort(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { GGML_ASSERT(ggml_is_contiguous(src0)); - ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_argsort); + ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_argsort); } -static void ggml_sycl_nop(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_sycl_nop(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { (void) src0; (void) src1; (void) dst; @@ -15814,184 +11986,17 @@ static size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_spl return nrows_split*ggml_row_size(tensor->type, tensor->ne[0]); } -void ggml_sycl_free_data(struct ggml_tensor *tensor) try { - if (!tensor || !tensor->extra || (tensor->backend != GGML_BACKEND_TYPE_GPU && tensor->backend != GGML_BACKEND_TYPE_GPU_SPLIT) ) { - return; - } - - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - - for (int i = 0; i < g_device_count; ++i) { - const dpct::queue_ptr stream = g_syclStreams[i][0]; - if (extra->data_device[i] != nullptr) { - SYCL_CHECK(ggml_sycl_set_device(i)); - SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(extra->data_device[i], *stream))); - } - - for (int64_t is = 0; is < MAX_STREAMS; ++is) { - if (extra->events[i][is] != nullptr) { - SYCL_CHECK(ggml_sycl_set_device(i)); - SYCL_CHECK(CHECK_TRY_ERROR( - dpct::destroy_event(extra->events[i][is]))); - } - } - } - - delete extra; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -static ggml_tensor_extra_gpu * g_temp_tensor_extras = nullptr; -static size_t g_temp_tensor_extra_index = 0; - -static ggml_tensor_extra_gpu * ggml_sycl_alloc_temp_tensor_extra() { - if (g_temp_tensor_extras == nullptr) { - g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_SYCL_MAX_NODES]; - } - - size_t alloc_index = g_temp_tensor_extra_index; - g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_SYCL_MAX_NODES; - ggml_tensor_extra_gpu * extra = &g_temp_tensor_extras[alloc_index]; - memset(extra, 0, sizeof(*extra)); - - return extra; -} - -static void ggml_sycl_assign_buffers_impl(struct ggml_tensor *tensor, - bool scratch, bool force_inplace, - bool no_alloc) try { - if (scratch && g_scratch_size == 0) { - return; - } - - tensor->backend = GGML_BACKEND_TYPE_GPU; - - if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_TYPE_CPU) { - const ggml_op src0_op = tensor->src[0]->op; - if (src0_op == GGML_OP_RESHAPE || src0_op == GGML_OP_TRANSPOSE || src0_op == GGML_OP_VIEW || src0_op == GGML_OP_PERMUTE) { - ggml_sycl_assign_buffers_impl(tensor->src[0], scratch, force_inplace, no_alloc); - } - } - if (tensor->op == GGML_OP_CPY && tensor->src[1]->backend == GGML_BACKEND_TYPE_CPU) { - ggml_sycl_assign_buffers_impl(tensor->src[1], scratch, force_inplace, no_alloc); - } - - if (scratch && no_alloc) { - return; - } - - ggml_tensor_extra_gpu * extra; - - const bool inplace = (tensor->src[0] != nullptr && tensor->src[0]->data == tensor->data) || - tensor->op == GGML_OP_VIEW || - force_inplace; - const size_t size = ggml_nbytes(tensor); - - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - const dpct::queue_ptr stream = g_syclStreams[g_main_device][0]; - - if (inplace && (tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU || tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT)) { - ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu * ) tensor->src[0]->extra; - char * src0_ddc = (char *) src0_extra->data_device[g_main_device]; - size_t offset = 0; - if (tensor->op == GGML_OP_VIEW) { - memcpy(&offset, tensor->op_params, sizeof(size_t)); - } - extra = ggml_sycl_alloc_temp_tensor_extra(); - extra->data_device[g_main_device] = src0_ddc + offset; - } else if (tensor->op == GGML_OP_CPY) { - ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu * ) tensor->src[1]->extra; - void * src1_ddv = src1_extra->data_device[g_main_device]; - extra = ggml_sycl_alloc_temp_tensor_extra(); - extra->data_device[g_main_device] = src1_ddv; - } else if (scratch) { - GGML_ASSERT(size <= g_scratch_size); - if (g_scratch_offset + size > g_scratch_size) { - g_scratch_offset = 0; - } - - char * data = (char *) g_scratch_buffer; - if (data == nullptr) { - SYCL_CHECK(CHECK_TRY_ERROR( - data = (char *)sycl::malloc_device( - g_scratch_size, *stream))); - g_scratch_buffer = data; - } - extra = ggml_sycl_alloc_temp_tensor_extra(); - extra->data_device[g_main_device] = data + g_scratch_offset; - - g_scratch_offset += size; - - GGML_ASSERT(g_scratch_offset <= g_scratch_size); - } else { // allocate new buffers outside of scratch - void * data; - SYCL_CHECK(CHECK_TRY_ERROR(data = (void *)sycl::malloc_device( - size, *stream))); - SYCL_CHECK(CHECK_TRY_ERROR( - (*stream).memset(data, 0, size).wait())); - extra = new ggml_tensor_extra_gpu; - memset(extra, 0, sizeof(*extra)); - extra->data_device[g_main_device] = data; - } - - tensor->extra = extra; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -void ggml_sycl_copy_to_device(struct ggml_tensor *tensor) try { - GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU); - GGML_ASSERT(ggml_is_contiguous(tensor)); - - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - SYCL_CHECK(ggml_sycl_set_device(g_main_device)); - const dpct::queue_ptr stream = g_syclStreams[g_main_device][0]; - SYCL_CHECK(CHECK_TRY_ERROR((*stream) - .memcpy(extra->data_device[g_main_device], - tensor->data, ggml_nbytes(tensor)) - .wait())); -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -void ggml_sycl_assign_buffers(struct ggml_tensor * tensor) { - ggml_sycl_assign_buffers_impl(tensor, true, false, false); -} - -void ggml_sycl_assign_buffers_no_alloc(struct ggml_tensor * tensor) { - ggml_sycl_assign_buffers_impl(tensor, true, false, true); -} - -void ggml_sycl_assign_buffers_no_scratch(struct ggml_tensor * tensor) { - ggml_sycl_assign_buffers_impl(tensor, false, false, false); -} - -void ggml_sycl_assign_buffers_force_inplace(struct ggml_tensor * tensor) { - ggml_sycl_assign_buffers_impl(tensor, false, true, false); -} - void ggml_sycl_set_main_device(const int main_device) try { - if (g_main_device == main_device) return; + if (dpct::get_current_device_id() == main_device) return; check_allow_gpu_index(main_device); - g_main_device = main_device; - g_main_device_id = g_sycl_gpu_mgr->gpus[main_device]; + dpct::select_device(main_device); if (g_ggml_sycl_debug) { dpct::device_info prop; SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info( - prop, dpct::dev_mgr::instance().get_device(g_main_device_id)))); + prop, dpct::dev_mgr::instance().get_device(main_device)))); fprintf(stderr, "Using device %d (%s) as main device\n", - g_main_device_id, prop.get_name()); + main_device, prop.get_name()); } } catch (sycl::exception const &exc) { @@ -16000,52 +12005,10 @@ catch (sycl::exception const &exc) { std::exit(1); } -void ggml_sycl_set_scratch_size(const size_t scratch_size) { - // this is a hack to not completely break llama.cpp when using multiple models or contexts simultaneously - // it still won't always work as expected, but it's better than nothing - if (scratch_size > g_scratch_size) { - ggml_sycl_free_scratch(); - } - g_scratch_size = std::max(g_scratch_size, scratch_size); -} - -void ggml_sycl_free_scratch() try { - if (g_scratch_buffer == nullptr) { - return; - } - ggml_sycl_set_device(g_main_device); - const dpct::queue_ptr stream = g_syclStreams[g_main_device][0]; - - SYCL_CHECK(CHECK_TRY_ERROR( - sycl::free(g_scratch_buffer, *stream))); - g_scratch_buffer = nullptr; -} -catch (sycl::exception const &exc) { - std::cerr << exc.what() << "Exception caught at file:" << __FILE__ - << ", line:" << __LINE__ << std::endl; - std::exit(1); -} - -bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) { +bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct ggml_tensor * tensor) { if (!g_sycl_loaded) return false; ggml_sycl_func_t func; - const bool any_on_device = tensor->backend == GGML_BACKEND_TYPE_GPU - || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU || tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT)) - || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_TYPE_GPU); - - if (!any_on_device && tensor->op != GGML_OP_MUL_MAT && tensor->op != GGML_OP_MUL_MAT_ID) { - return false; - } - - if (tensor->op == GGML_OP_MUL_MAT) { - if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) { -#ifndef NDEBUG - fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]); -#endif - return false; - } - } switch (tensor->op) { case GGML_OP_REPEAT: @@ -16118,13 +12081,13 @@ bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_ func = ggml_sycl_rms_norm; break; case GGML_OP_MUL_MAT: - if (!any_on_device && !ggml_sycl_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { + if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) { return false; } func = ggml_sycl_mul_mat; break; case GGML_OP_MUL_MAT_ID: - if (!any_on_device && !ggml_sycl_can_mul_mat(tensor->src[2], tensor->src[1], tensor)) { + if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) { return false; } func = ggml_sycl_mul_mat_id; @@ -16176,17 +12139,11 @@ bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_ return false; } - if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT) { - ggml_sycl_set_peer_access(tensor->src[1]->ne[1]); + if (tensor->src[0] != nullptr && ggml_backend_buffer_is_sycl_split(tensor->src[0]->buffer)) { + ggml_sycl_set_peer_access(tensor->src[1]->ne[1], ctx.device); } - if (params->ith != 0) { - return true; - } - if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) { - return true; - } - func(tensor->src[0], tensor->src[1], tensor); + func(ctx, tensor->src[0], tensor->src[1], tensor); return true; } @@ -16194,13 +12151,9 @@ GGML_API GGML_CALL void ggml_sycl_get_gpu_list(int *id_list, int max_len) try GGML_SYCL_DEBUG("[SYCL] call ggml_sycl_get_gpu_list\n"); for(int i=0;igpus.size();i++){ + for (int i=0;i< ggml_sycl_info().device_count;i++){ if (i>=max_len) break; - id_list[i] = g_sycl_gpu_mgr->gpus[i]; + id_list[i] = i; } return; } @@ -16228,9 +12181,8 @@ GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *descr size_t description_size) try { GGML_SYCL_DEBUG("[SYCL] call ggml_sycl_get_device_description\n"); dpct::device_info prop; - int device_id = g_sycl_gpu_mgr->gpus[device]; SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info( - prop, dpct::dev_mgr::instance().get_device(device_id)))); + prop, dpct::dev_mgr::instance().get_device(device)))); snprintf(description, description_size, "%s", prop.get_name()); } catch (sycl::exception const &exc) { @@ -16254,9 +12206,8 @@ GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, device information which may not be supported by all compilers or runtimes. You may need to adjust the code. */ - int device_id = g_sycl_gpu_mgr->gpus[device]; SYCL_CHECK(CHECK_TRY_ERROR( - dpct::dev_mgr::instance().get_device(device_id).get_memory_info(*free, *total))); + dpct::dev_mgr::instance().get_device(device).get_memory_info(*free, *total))); } catch (sycl::exception const &exc) { std::cerr << exc.what() << "Exception caught at file:" << __FILE__ @@ -16275,32 +12226,21 @@ catch (sycl::exception const &exc) { struct ggml_backend_sycl_buffer_context { int device; void * dev_ptr = nullptr; - ggml_tensor_extra_gpu * temp_tensor_extras = nullptr; - size_t temp_tensor_extra_index = 0; + queue_ptr stream; std::string name; - ggml_backend_sycl_buffer_context(int device, void * dev_ptr) : - device(device), dev_ptr(dev_ptr) { + ggml_backend_sycl_buffer_context(int device, void * dev_ptr, queue_ptr stream) : + device(device), dev_ptr(dev_ptr), stream(stream) { check_allow_gpu_index(device); - int id = g_sycl_gpu_mgr->gpus[device]; - name = (GGML_SYCL_NAME + std::to_string(id)); + name = (GGML_SYCL_NAME + std::to_string(device)); } - ~ ggml_backend_sycl_buffer_context() { - delete[] temp_tensor_extras; - } - ggml_tensor_extra_gpu * ggml_sycl_alloc_temp_tensor_extra() { - if (temp_tensor_extras == nullptr) { - temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_SYCL_MAX_NODES]; + ~ggml_backend_sycl_buffer_context() { + if (dev_ptr != nullptr) { + ggml_sycl_set_device(device); + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(dev_ptr, *stream))); } - - size_t alloc_index = temp_tensor_extra_index; - temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_SYCL_MAX_NODES; - ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index]; - memset(extra, 0, sizeof(*extra)); - - return extra; } }; @@ -16317,10 +12257,7 @@ static void ggml_backend_sycl_buffer_free_buffer(ggml_backend_buffer_t buffer) try { ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context; ggml_sycl_set_device(ctx->device); - const dpct::queue_ptr stream = g_syclStreams[ctx->device][0]; - SYCL_CHECK( - CHECK_TRY_ERROR(sycl::free(ctx->dev_ptr, *stream))); delete ctx; } catch (sycl::exception const &exc) { @@ -16346,11 +12283,6 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer, return; } - ggml_tensor_extra_gpu * extra = ctx->ggml_sycl_alloc_temp_tensor_extra(); - - extra->data_device[ctx->device] = tensor->data; - tensor->backend = GGML_BACKEND_TYPE_GPU; - tensor->extra = extra; if (ggml_is_quantized(tensor->type)) { // initialize padding to 0 to avoid possible NaN values @@ -16358,7 +12290,7 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer, size_t padded_size = ggml_backend_buft_get_alloc_size(buffer->buft, tensor); if (padded_size > original_size && tensor->view_src == nullptr) { - SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[ctx->device][0]->memset( + SYCL_CHECK(CHECK_TRY_ERROR(ctx->stream->memset( (char *)tensor->data + original_size, 0, padded_size - original_size).wait())); } @@ -16374,19 +12306,17 @@ static void ggml_backend_sycl_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor *tensor, const void *data, size_t offset, size_t size) try { - GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU); ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context; ggml_sycl_set_device(ctx->device); - const dpct::queue_ptr stream = g_syclStreams[ctx->device][0]; + auto stream = &(dpct::dev_mgr::instance().get_device(ctx->device).default_queue()); SYCL_CHECK( CHECK_TRY_ERROR(dpct::dev_mgr::instance().get_device(ctx->device).queues_wait_and_throw())); char* host_buf = (char*)malloc(size); memcpy(host_buf, data, size); SYCL_CHECK( - CHECK_TRY_ERROR((*stream) - .memcpy((char *)tensor->data + offset, host_buf, size) + CHECK_TRY_ERROR((*stream).memcpy((char *)tensor->data + offset, host_buf, size) .wait())); free(host_buf); } @@ -16400,19 +12330,14 @@ static void ggml_backend_sycl_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor *tensor, void *data, size_t offset, size_t size) try { - GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU); ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context; ggml_sycl_set_device(ctx->device); - const dpct::queue_ptr stream = g_syclStreams[ctx->device][0]; - - SYCL_CHECK( - CHECK_TRY_ERROR(dpct::dev_mgr::instance().get_device(ctx->device).queues_wait_and_throw())); + auto stream = dpct::dev_mgr::instance().get_device(ctx->device).default_queue(); SYCL_CHECK(CHECK_TRY_ERROR( - (*stream) - .memcpy(data, (const char *)tensor->data + offset, size) + stream.memcpy(data, (const char *)tensor->data + offset, size) .wait())); } catch (sycl::exception const &exc) { @@ -16427,7 +12352,7 @@ ggml_backend_sycl_buffer_cpy_tensor(ggml_backend_buffer_t buffer, ggml_tensor *dst) try { if (ggml_backend_buffer_is_sycl(src->buffer)) { ggml_backend_sycl_buffer_context * src_ctx = (ggml_backend_sycl_buffer_context *)src->buffer->context; - ggml_backend_sycl_buffer_context * dst_ctx = (ggml_backend_sycl_buffer_context *)buffer->context; + ggml_backend_sycl_buffer_context * dst_ctx = (ggml_backend_sycl_buffer_context *)dst->buffer->context; ggml_sycl_set_device(src_ctx->device); /* @@ -16451,8 +12376,8 @@ ggml_backend_sycl_buffer_cpy_tensor(ggml_backend_buffer_t buffer, was inserted. You need to rewrite this code. */ - dpct::queue_ptr stream_dst = g_syclStreams[dst_ctx->device][0]; - dpct::queue_ptr stream_src = g_syclStreams[src_ctx->device][0]; + queue_ptr stream_dst = dst_ctx->stream; + queue_ptr stream_src = src_ctx->stream; size_t size = ggml_nbytes(src); //todo. it's dirty solutino to walkaroud known issue:device2device cross GPUs. @@ -16487,7 +12412,7 @@ static void ggml_backend_sycl_buffer_clear(ggml_backend_buffer_t buffer, ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context; ggml_sycl_set_device(ctx->device); - const dpct::queue_ptr stream = g_syclStreams[ctx->device][0]; + queue_ptr stream = ctx->stream; SYCL_CHECK( CHECK_TRY_ERROR(dpct::get_current_device().queues_wait_and_throw())); @@ -16517,11 +12442,9 @@ static struct ggml_backend_buffer_i ggml_backend_sycl_buffer_interface = { struct ggml_backend_sycl_buffer_type_context { int device; std::string name; -}; -struct ggml_backend_sycl_context { - int device; - std::string name; + // each buffer type has its own stream + queue_ptr stream = nullptr; }; GGML_CALL static const char * ggml_backend_sycl_buffer_type_name(ggml_backend_buffer_type_t buft) { @@ -16534,13 +12457,13 @@ ggml_backend_sycl_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) try { ggml_backend_sycl_buffer_type_context * buft_ctx = (ggml_backend_sycl_buffer_type_context *)buft->context; ggml_sycl_set_device(buft_ctx->device); - const dpct::queue_ptr stream = g_syclStreams[buft_ctx->device][0]; + const queue_ptr stream = buft_ctx->stream; size = std::max(size, (size_t)1); // syclMalloc returns null for size 0 void * dev_ptr; SYCL_CHECK(CHECK_TRY_ERROR(dev_ptr = (void *)sycl::malloc_device( size, *stream))); - ggml_backend_sycl_buffer_context * ctx = new ggml_backend_sycl_buffer_context(buft_ctx->device, dev_ptr); + ggml_backend_sycl_buffer_context * ctx = new ggml_backend_sycl_buffer_context(buft_ctx->device, dev_ptr, buft_ctx->stream); return ggml_backend_buffer_init(buft, ggml_backend_sycl_buffer_interface, ctx, size); } catch (sycl::exception const &exc) { @@ -16584,26 +12507,58 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_buffer_type_interface = { /* .is_host = */ nullptr, }; -ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device_index) { +ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device) { + static std::mutex mutex; + std::lock_guard lock(mutex); + GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_buffer_type\n"); - if (device_index>=g_device_count or device_index<0) { + if (device>=ggml_sycl_info().device_count or device<0) { printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n", - device_index, g_device_count-1); - GGML_ASSERT(device_indexgpus[i])}, + /* .context = */ new ggml_backend_sycl_buffer_type_context{i, GGML_SYCL_NAME + std::to_string(i), stream}, }; } - g_ggml_backend_sycl_buffer_type_initialized = true; + ggml_backend_sycl_buffer_type_initialized = true; } - return &ggml_backend_sycl_buffer_types[device_index]; + return &ggml_backend_sycl_buffer_types[device]; +} + +ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(ggml_backend_sycl_context * ctx) { + GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_buffer_type\n"); + + int device = ctx->device; + if (device>=ggml_sycl_info().device_count or device<0) { + printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n", + device, ggml_sycl_info().device_count-1); + GGML_ASSERT(devicestream(i, 0)}, + }; + } + ggml_backend_sycl_buffer_type_initialized = true; + } + return &ggml_backend_sycl_buffer_types[device]; } // sycl split buffer type @@ -16613,7 +12568,7 @@ static void get_row_split(int64_t * row_low, int64_t * row_high, const ggml_tens *row_low = id == 0 ? 0 : nrows*tensor_split[id]; *row_low -= *row_low % rounding; - if (id == g_device_count - 1) { + if (id == ggml_sycl_info().device_count - 1) { *row_high = nrows; } else { *row_high = nrows*tensor_split[id + 1]; @@ -16624,9 +12579,8 @@ static void get_row_split(int64_t * row_low, int64_t * row_high, const ggml_tens struct ggml_backend_sycl_split_buffer_context { ~ggml_backend_sycl_split_buffer_context() try { for (ggml_tensor_extra_gpu * extra : tensor_extras) { - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; - for (int64_t is = 0; is < MAX_STREAMS; ++is) { + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { + for (int64_t is = 0; is < GGML_SYCL_MAX_STREAMS; ++is) { if (extra->events[i][is] != nullptr) { /* DPCT1009:206: SYCL uses exceptions to report errors and @@ -16647,7 +12601,7 @@ struct ggml_backend_sycl_split_buffer_context { */ ggml_sycl_set_device(i); SYCL_CHECK(CHECK_TRY_ERROR(sycl::free( - extra->data_device[i], *g_syclStreams[i][0]))); + extra->data_device[i], *(streams[i])))); } } delete extra; @@ -16660,6 +12614,7 @@ struct ggml_backend_sycl_split_buffer_context { } std::vector tensor_extras; + std::vector streams; }; GGML_CALL static const char * ggml_backend_sycl_split_buffer_get_name(ggml_backend_buffer_t buffer) { @@ -16697,9 +12652,9 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{}; ctx->tensor_extras.push_back(extra); + ctx->streams.push_back(&(dpct::get_current_device().default_queue())); - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { int64_t row_low, row_high; get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i); @@ -16719,6 +12674,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer, // FIXME: do not crash if cudaMalloc fails // currently, init_tensor cannot fail, it needs to be fixed in ggml-backend first ggml_sycl_set_device(i); + const queue_ptr stream = ctx->streams[i]; char * buf; /* DPCT1009:208: SYCL uses exceptions to report errors and does not use the @@ -16726,7 +12682,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer, was inserted. You need to rewrite this code. */ SYCL_CHECK(CHECK_TRY_ERROR(buf = (char *)sycl::malloc_device( - size, *g_syclStreams[i][0]))); + size, *stream))); // set padding to 0 to avoid possible NaN values if (size > original_size) { @@ -16736,14 +12692,14 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer, string was inserted. You need to rewrite this code. */ SYCL_CHECK(CHECK_TRY_ERROR( - (*g_syclStreams[i][0]) + (*stream) .memset(buf + original_size, 0, size - original_size) .wait())); } extra->data_device[i] = buf; - for (int64_t is = 0; is < MAX_STREAMS; ++is) { + for (int64_t is = 0; is < GGML_SYCL_MAX_STREAMS; ++is) { /* DPCT1009:210: SYCL uses exceptions to report errors and does not use the error codes. The original code was commented out and a warning @@ -16770,14 +12726,14 @@ ggml_backend_sycl_split_buffer_set_tensor(ggml_backend_buffer_t buffer, GGML_ASSERT(offset == 0); GGML_ASSERT(size == ggml_nbytes(tensor)); + ggml_backend_sycl_split_buffer_context * ctx = (ggml_backend_sycl_split_buffer_context *)buffer->context; ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *)buffer->buft->context; const int64_t ne0 = tensor->ne[0]; const size_t nb1 = tensor->nb[1]; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *)tensor->extra; - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { int64_t row_low, row_high; get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i); @@ -16802,8 +12758,9 @@ ggml_backend_sycl_split_buffer_set_tensor(ggml_backend_buffer_t buffer, was inserted. You need to rewrite this code. */ ggml_sycl_set_device(i); + const queue_ptr stream = ctx->streams[i]; SYCL_CHECK(CHECK_TRY_ERROR( - (*g_syclStreams[i][0]) + (*stream) .memcpy(extra->data_device[i], buf_host, original_size) .wait())); } @@ -16822,14 +12779,14 @@ ggml_backend_sycl_split_buffer_get_tensor(ggml_backend_buffer_t buffer, GGML_ASSERT(offset == 0); GGML_ASSERT(size == ggml_nbytes(tensor)); + ggml_backend_sycl_split_buffer_context * ctx = (ggml_backend_sycl_split_buffer_context *)buffer->context; ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *)buffer->buft->context; const int64_t ne0 = tensor->ne[0]; const size_t nb1 = tensor->nb[1]; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *)tensor->extra; - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { int64_t row_low, row_high; get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i); @@ -16854,8 +12811,9 @@ ggml_backend_sycl_split_buffer_get_tensor(ggml_backend_buffer_t buffer, was inserted. You need to rewrite this code. */ ggml_sycl_set_device(i); + const queue_ptr stream = ctx->streams[i]; SYCL_CHECK(CHECK_TRY_ERROR( - (*g_syclStreams[i][0]) + (*stream) .memcpy(buf_host, extra->data_device[i], original_size) .wait())); } @@ -16911,8 +12869,7 @@ GGML_CALL static size_t ggml_backend_sycl_split_buffer_type_get_alloc_size(ggml_ const int64_t ne0 = tensor->ne[0]; - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { int64_t row_low, row_high; get_row_split(&row_low, &row_high, tensor, ctx->tensor_split, i); @@ -16948,8 +12905,11 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_split_buffer_type_interface }; GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const float * tensor_split) { + static std::mutex mutex; + std::lock_guard lock(mutex); + GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_split_buffer_type\n"); - ggml_init_sycl(); + ggml_check_sycl(); // FIXME: this is not thread safe static std::map, struct ggml_backend_buffer_type> buft_map; @@ -16957,16 +12917,14 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const f bool all_zero = tensor_split == nullptr || std::all_of(tensor_split, tensor_split + GGML_SYCL_MAX_DEVICES, [](float x) { return x == 0.0f; }); if (all_zero) { - tensor_split_arr = g_default_tensor_split; + tensor_split_arr = ggml_sycl_info().default_tensor_split; } else { float split_sum = 0.0f; - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { tensor_split_arr[i] = split_sum; split_sum += tensor_split[i]; } - for (int i = 0; i < g_device_count; ++i) { - // int id = g_sycl_gpu_mgr->gpus[i]; + for (int i = 0; i < ggml_sycl_info().device_count; ++i) { tensor_split_arr[i] /= split_sum; } } @@ -17064,9 +13022,11 @@ GGML_CALL static void ggml_backend_sycl_set_tensor_async(ggml_backend_t backend, const void *data, size_t offset, size_t size) try { ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context; - GGML_ASSERT(tensor->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type"); - GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU); - SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy( + ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer; + + GGML_ASSERT(buf->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type"); + const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0); + SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy( (char *)tensor->data + offset, data, size).wait())); } catch (sycl::exception const &exc) { @@ -17080,9 +13040,11 @@ GGML_CALL static void ggml_backend_sycl_get_tensor_async(ggml_backend_t backend, void *data, size_t offset, size_t size) try { ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context; - GGML_ASSERT(tensor->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type"); - GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU); - SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy( + ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer; + + GGML_ASSERT(buf->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type"); + const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0); + SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy( data, (const char *)tensor->data + offset, size).wait())); } catch (sycl::exception const &exc) { @@ -17101,7 +13063,8 @@ GGML_CALL static bool ggml_backend_sycl_cpy_tensor_async(ggml_backend_t backend, error codes. The original code was commented out and a warning string was inserted. You need to rewrite this code. */ - SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy( + const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0); + SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy( dst->data, src->data, ggml_nbytes(dst)).wait())); return true; } @@ -17116,7 +13079,8 @@ catch (sycl::exception const &exc) { static void ggml_backend_sycl_synchronize(ggml_backend_t backend) try { ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context; - SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->wait())); + const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0); + SYCL_CHECK(CHECK_TRY_ERROR((stream)->wait())); UNUSED(backend); } @@ -17130,28 +13094,21 @@ GGML_CALL static ggml_status ggml_backend_sycl_graph_compute(ggml_backend_t back ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context; ggml_sycl_set_main_device(sycl_ctx->device); - ggml_compute_params params = {}; - params.type = GGML_TASK_TYPE_COMPUTE; - params.ith = 0; + for (int i = 0; i < cgraph->n_nodes; i++) { ggml_tensor * node = cgraph->nodes[i]; if (ggml_is_empty(node) || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_NONE) { continue; } #ifndef NDEBUG - assert(node->backend == GGML_BACKEND_TYPE_GPU || node->backend == GGML_BACKEND_TYPE_GPU_SPLIT); assert(node->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device)); - assert(node->extra != nullptr); - for (int j = 0; j < GGML_MAX_SRC; j++) { if (node->src[j] != nullptr) { - assert(node->src[j]->backend == GGML_BACKEND_TYPE_GPU || node->src[j]->backend == GGML_BACKEND_TYPE_GPU_SPLIT); assert(node->src[j]->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device)); - assert(node->src[j]->extra != nullptr); } } #endif - bool ok = ggml_sycl_compute_forward(¶ms, node); + bool ok = ggml_sycl_compute_forward(*sycl_ctx, node); if (!ok) { fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op)); } @@ -17332,16 +13289,14 @@ static ggml_guid_t ggml_backend_sycl_guid() { GGML_CALL ggml_backend_t ggml_backend_sycl_init(int device) { GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_init\n"); - ggml_init_sycl(); + ggml_check_sycl(); check_allow_gpu_index(device); - // not strictly necessary, but it may reduce the overhead of the first graph_compute - ggml_sycl_set_main_device(device); - int id = g_sycl_gpu_mgr->gpus[device]; - ggml_backend_sycl_context * ctx = new ggml_backend_sycl_context { - /* .device = */ device, - /* .name = */ GGML_SYCL_NAME + std::to_string(id), + ggml_backend_sycl_context * ctx = new ggml_backend_sycl_context(device); + if (ctx == nullptr) { + fprintf(stderr, "%s: error: failed to allocate context\n", __func__); + return nullptr; }; ggml_backend_t sycl_backend = new ggml_backend { @@ -17359,8 +13314,7 @@ bool ggml_backend_is_sycl(ggml_backend_t backend) { GGML_CALL int ggml_backend_sycl_get_device_count() { GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_count\n"); - if (!g_sycl_gpu_mgr) g_sycl_gpu_mgr = new sycl_gpu_mgr(); - return g_sycl_gpu_mgr->get_gpu_count(); + return ggml_sycl_info().device_count; } GGML_CALL static ggml_backend_t ggml_backend_reg_sycl_init(const char * params, void * user_data) { @@ -17370,60 +13324,14 @@ GGML_CALL static ggml_backend_t ggml_backend_reg_sycl_init(const char * params, UNUSED(params); } -GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id) { - GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_index\n"); - return g_sycl_gpu_mgr->get_index(device_id); -} - -GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index) { - GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_id\n"); - return g_sycl_gpu_mgr->gpus[device_index]; -} - -GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id) { - ggml_init_sycl(); - GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_set_single_device_mode\n"); - fprintf(stderr, "ggml_backend_sycl_set_single_device: use single device: [%d]\n", main_gpu_id); - GGML_ASSERT(main_gpu_idget_gpu_count()); - g_ggml_backend_sycl_buffer_type_initialized = false; -} - -GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode() { - ggml_init_sycl(); - GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_set_mul_device_mode\n"); - - if (g_ggml_sycl_backend_gpu_mode == SYCL_MUL_GPU_MODE) { - return; - } - - fprintf(stderr, "ggml_backend_sycl_set_mul_device_mode: true\n"); - - if (g_sycl_gpu_mgr) { - delete g_sycl_gpu_mgr; - } - g_sycl_gpu_mgr = new sycl_gpu_mgr(); - g_ggml_sycl_backend_gpu_mode = SYCL_MUL_GPU_MODE; - ggml_init_by_gpus(g_sycl_gpu_mgr->get_gpu_count()); - g_ggml_backend_sycl_buffer_type_initialized = false; -} - extern "C" int ggml_backend_sycl_reg_devices(); int ggml_backend_sycl_reg_devices() { - ggml_backend_sycl_set_mul_device_mode(); - assert(g_device_count>0); - for (int i = 0; i < g_device_count; i++) { - int id = g_sycl_gpu_mgr->gpus[i]; + assert(ggml_sycl_info().device_count>0); + for (int i = 0; i < ggml_sycl_info().device_count; i++) { char name[128]; - snprintf(name, sizeof(name), "%s%d", GGML_SYCL_NAME, id); + snprintf(name, sizeof(name), "%s%d", GGML_SYCL_NAME, i); ggml_backend_register(name, ggml_backend_reg_sycl_init, ggml_backend_sycl_buffer_type(i), (void *) (intptr_t) i); } - return g_device_count; + return ggml_sycl_info().device_count; } diff --git a/ggml-sycl.h b/ggml-sycl.h index a9f776fc1..451938fc4 100644 --- a/ggml-sycl.h +++ b/ggml-sycl.h @@ -8,14 +8,12 @@ #include "ggml.h" #include "ggml-backend.h" +#include "ggml-sycl/presets.hpp" #ifdef __cplusplus extern "C" { #endif -#define GGML_SYCL_MAX_DEVICES 48 -#define GGML_SYCL_NAME "SYCL" - // backend API GGML_API ggml_backend_t ggml_backend_sycl_init(int device); @@ -33,13 +31,6 @@ GGML_API GGML_CALL void ggml_sycl_get_gpu_list(int *id_list, int max_len); GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *description, size_t description_size); GGML_API GGML_CALL int ggml_backend_sycl_get_device_count(); GGML_API GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, size_t *total); -GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id); - -// TODO: these are temporary -// ref: https://github.com/ggerganov/llama.cpp/pull/6022#issuecomment-1992615670 -GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index); -GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id); -GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode(); // SYCL doesn't support registering host memory, keep here for reference // GGML_API GGML_CALL bool ggml_backend_sycl_register_host_buffer(void * buffer, size_t size); diff --git a/ggml-sycl/backend.hpp b/ggml-sycl/backend.hpp new file mode 100644 index 000000000..88bae5967 --- /dev/null +++ b/ggml-sycl/backend.hpp @@ -0,0 +1,18 @@ +// +// 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_BACKEND_HPP +#define GGML_SYCL_BACKEND_HPP + +#include "common.hpp" + +#endif // GGML_SYCL_BACKEND_HPP diff --git a/ggml-sycl/common.cpp b/ggml-sycl/common.cpp new file mode 100644 index 000000000..e878f4f50 --- /dev/null +++ b/ggml-sycl/common.cpp @@ -0,0 +1,53 @@ +// +// 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 "common.hpp" + +int get_current_device_id() { + return dpct::dev_mgr::instance().current_device_id(); +} + +void* ggml_sycl_host_malloc(size_t size) try { + if (getenv("GGML_SYCL_NO_PINNED") != nullptr) { + return nullptr; + } + + void* ptr = nullptr; + // allow to use dpct::get_in_order_queue() for host malloc + dpct::err0 err = CHECK_TRY_ERROR( + ptr = (void*)sycl::malloc_host(size, dpct::get_in_order_queue())); + + if (err != 0) { + // clear the error + fprintf( + stderr, + "WARNING: failed to allocate %.2f MB of pinned memory: %s\n", + size / 1024.0 / 1024.0, + "syclGetErrorString is not supported"); + return nullptr; + } + + return ptr; +} catch (sycl::exception const& exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + std::exit(1); +} + +void ggml_sycl_host_free(void* ptr) try { + // allow to use dpct::get_in_order_queue() for host malloc + SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, dpct::get_in_order_queue()))); +} 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/common.hpp b/ggml-sycl/common.hpp new file mode 100644 index 000000000..414c37eed --- /dev/null +++ b/ggml-sycl/common.hpp @@ -0,0 +1,298 @@ +// +// 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_COMMON_HPP +#define GGML_SYCL_COMMON_HPP + +#include +#include + +#include "dpct/helper.hpp" +#include "presets.hpp" + +#define GGML_COMMON_DECL_SYCL +#define GGML_COMMON_IMPL_SYCL +#include "ggml-common.h" + +void* ggml_sycl_host_malloc(size_t size); +void ggml_sycl_host_free(void* ptr); + +static int g_ggml_sycl_debug = 0; +#define GGML_SYCL_DEBUG(...) \ + do { \ + if (g_ggml_sycl_debug) \ + fprintf(stderr, __VA_ARGS__); \ + } while (0) + +#define CHECK_TRY_ERROR(expr) \ + [&]() { \ + try { \ + expr; \ + return dpct::success; \ + } catch (std::exception const& e) { \ + std::cerr << e.what() << "\nException caught at file:" << __FILE__ \ + << ", line:" << __LINE__ << ", func:" << __func__ \ + << std::endl; \ + return dpct::default_error; \ + } \ + }() + +// #define DEBUG_SYCL_MALLOC + +static int g_work_group_size = 0; +// typedef sycl::half ggml_fp16_t; + +#define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP +#define VER_4VEC 610 // todo for hardward optimize. +#define VER_GEN9 700 // todo for hardward optimize. +#define VER_GEN12 1000000 // todo for hardward optimize. +#define VER_GEN13 (VER_GEN12 + 1030) // todo for hardward optimize. + +#define GGML_SYCL_MAX_NODES 8192 // TODO: adapt to hardwares + +// define for XMX in Intel GPU +// TODO: currently, it's not used for XMX really. +#if !defined(GGML_SYCL_FORCE_MMQ) + #define SYCL_USE_XMX +#endif + +// max batch size to use MMQ kernels when tensor cores are available +#define MMQ_MAX_BATCH_SIZE 32 + +#if defined(_MSC_VER) +#pragma warning(disable : 4244 4267) // possible loss of data +#endif + +// dmmv = dequantize_mul_mat_vec +#ifndef GGML_SYCL_DMMV_X +#define GGML_SYCL_DMMV_X 32 +#endif +#ifndef GGML_SYCL_MMV_Y +#define GGML_SYCL_MMV_Y 1 +#endif + +typedef sycl::queue *queue_ptr; + +enum ggml_sycl_backend_gpu_mode { + SYCL_UNSET_GPU_MODE = -1, + SYCL_SINGLE_GPU_MODE = 0, + SYCL_MUL_GPU_MODE +}; + +static_assert(sizeof(sycl::half) == sizeof(ggml_fp16_t), "wrong fp16 size"); + +static void crash() { + int* ptr = NULL; + *ptr = 0; +} + +[[noreturn]] static void ggml_sycl_error( + const char* stmt, + const char* func, + const char* file, + const int line, + const char* msg) { + fprintf(stderr, "SYCL error: %s: %s\n", stmt, msg); + fprintf(stderr, " in function %s at %s:%d\n", func, file, line); + GGML_ASSERT(!"SYCL error"); +} + +#define SYCL_CHECK(err) \ + do { \ + auto err_ = (err); \ + if (err_ != 0) \ + ggml_sycl_error( \ + #err, \ + __func__, \ + __FILE__, \ + __LINE__, \ + "Meet error in this line code!"); \ + } while (0) + +#if DPCT_COMPAT_RT_VERSION >= 11100 +#define GGML_SYCL_ASSUME(x) __builtin_assume(x) +#else +#define GGML_SYCL_ASSUME(x) +#endif // DPCT_COMPAT_RT_VERSION >= 11100 + +#ifdef GGML_SYCL_F16 +typedef sycl::half dfloat; // dequantize float +typedef sycl::half2 dfloat2; +#else +typedef float dfloat; // dequantize float +typedef sycl::float2 dfloat2; +#endif // GGML_SYCL_F16 + +#define MMVQ_MAX_BATCH_SIZE 8 + +static const int8_t kvalues_iq4nl[16]={-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113}; + +static int g_all_sycl_device_count = -1; +static bool g_ggml_backend_sycl_buffer_type_initialized = false; + +static ggml_sycl_backend_gpu_mode g_ggml_sycl_backend_gpu_mode = + SYCL_UNSET_GPU_MODE; + +static void* g_scratch_buffer = nullptr; +static size_t g_scratch_size = 0; // disabled by default +static size_t g_scratch_offset = 0; + +[[noreturn]] static inline void bad_arch(const sycl::stream& stream_ct1) { + stream_ct1 << "ERROR: ggml-sycl was compiled without support for the " + "current GPU architecture.\n"; + // __trap(); + std::exit(1); + + (void)bad_arch; // suppress unused function warning +} + +int get_current_device_id(); + +inline dpct::err0 ggml_sycl_set_device(const int device) try { + + int current_device_id; + SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id())); + + // GGML_SYCL_DEBUG("ggml_sycl_set_device device_id=%d, + // current_device_id=%d\n", device, current_device); + if (device == current_device_id) { + return 0; + } + + return CHECK_TRY_ERROR(dpct::select_device(device)); +} catch (sycl::exception const& exc) { + std::cerr << exc.what() << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + crash(); + std::exit(1); +} + +////////////////////// + +struct ggml_sycl_device_info { + int device_count; + + struct sycl_device_info { + int cc; // compute capability + // int nsm; // number of streaming multiprocessors + // size_t smpb; // max. shared memory per block + bool vmm; // virtual memory support + size_t total_vram; + }; + + sycl_device_info devices[GGML_SYCL_MAX_DEVICES] = {}; + + std::array default_tensor_split = {}; +}; + +const ggml_sycl_device_info & ggml_sycl_info(); + +struct ggml_sycl_pool { + virtual ~ggml_sycl_pool() = default; + + virtual void * alloc(size_t size, size_t * actual_size) = 0; + virtual void free(void * ptr, size_t size) = 0; +}; + +template +struct ggml_sycl_pool_alloc { + ggml_sycl_pool * pool = nullptr; + T * ptr = nullptr; + size_t actual_size = 0; + + explicit ggml_sycl_pool_alloc(ggml_sycl_pool & pool) : pool(&pool) { + } + + ggml_sycl_pool_alloc(ggml_sycl_pool & pool, size_t size) : pool(&pool) { + alloc(size); + } + + ~ggml_sycl_pool_alloc() { + if (ptr != nullptr) { + pool->free(ptr, actual_size); + } + } + + // size is in number of elements + T * alloc(size_t size) { + GGML_ASSERT(pool != nullptr); + GGML_ASSERT(ptr == nullptr); + ptr = (T *) pool->alloc(size * sizeof(T), &this->actual_size); + return ptr; + } + + T * alloc(ggml_sycl_pool & pool, size_t size) { + this->pool = &pool; + return alloc(size); + } + + T * get() { + return ptr; + } + + ggml_sycl_pool_alloc() = default; + ggml_sycl_pool_alloc(const ggml_sycl_pool_alloc &) = delete; + ggml_sycl_pool_alloc(ggml_sycl_pool_alloc &&) = delete; + ggml_sycl_pool_alloc& operator=(const ggml_sycl_pool_alloc &) = delete; + ggml_sycl_pool_alloc& operator=(ggml_sycl_pool_alloc &&) = delete; +}; + +// backend interface + +struct ggml_tensor_extra_gpu { + void* data_device[GGML_SYCL_MAX_DEVICES]; // 1 pointer for each device for split + // tensors + dpct::event_ptr events[GGML_SYCL_MAX_DEVICES] + [GGML_SYCL_MAX_STREAMS]; // events for synchronizing multiple GPUs +}; + +struct ggml_backend_sycl_context { + int device; + std::string name; + + queue_ptr qptrs[GGML_SYCL_MAX_DEVICES][GGML_SYCL_MAX_STREAMS] = { { nullptr } }; + + explicit ggml_backend_sycl_context(int device) : + device(device), + name(GGML_SYCL_NAME + std::to_string(device)) { + } + + queue_ptr stream(int device, int stream) { + if (qptrs[device][stream] == nullptr) { + qptrs[device][stream] = &(dpct::get_current_device().default_queue()); + } + return qptrs[device][stream]; + } + + queue_ptr stream() { + return stream(device, 0); + } + + // pool + std::unique_ptr pools[GGML_SYCL_MAX_DEVICES]; + + static std::unique_ptr new_pool_for_device(queue_ptr qptr, int device); + + ggml_sycl_pool & pool(int device) { + if (pools[device] == nullptr) { + pools[device] = new_pool_for_device(stream(device,0), device); + } + return *pools[device]; + } + + ggml_sycl_pool & pool() { + return pool(device); + } +}; + + +#endif // GGML_SYCL_COMMON_HPP diff --git a/ggml-sycl/dpct/helper.hpp b/ggml-sycl/dpct/helper.hpp new file mode 100644 index 000000000..017fd6ee1 --- /dev/null +++ b/ggml-sycl/dpct/helper.hpp @@ -0,0 +1,2980 @@ +// +// 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_DPCT_HELPER_HPP +#define GGML_SYCL_DPCT_HELPER_HPP + +#include +#include +#include +#include + +#include "ggml.h" + +#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 + +inline std::string get_device_type_name(const sycl::device &Device) { + auto DeviceType = Device.get_info(); + switch (DeviceType) { + case sycl::info::device_type::cpu: + return "cpu"; + case sycl::info::device_type::gpu: + return "gpu"; + case sycl::info::device_type::host: + return "host"; + case sycl::info::device_type::accelerator: + return "acc"; + default: + return "unknown"; + } +} + +inline std::string get_device_backend_and_type(const sycl::device &device) { + std::stringstream device_type; + sycl::backend backend = device.get_backend(); + device_type << backend << ":" << get_device_type_name(device); + return device_type.str(); +} + +namespace dpct +{ + typedef sycl::queue *queue_ptr; + typedef sycl::event *event_ptr; + typedef char *device_ptr; + typedef uint8_t byte_t; + typedef sycl::buffer buffer_t; + + /// SYCL default exception handler + inline auto exception_handler = [](sycl::exception_list exceptions) + { + for (std::exception_ptr const &e : exceptions) + { + try + { + std::rethrow_exception(e); + } + catch (sycl::exception const &e) + { + std::cerr << "Caught asynchronous SYCL exception:" << std::endl + << e.what() << std::endl + << "Exception caught at file:" << __FILE__ + << ", line:" << __LINE__ << std::endl; + } + } + }; + + enum error_code + { + success = 0, + default_error = 999 + }; + + enum memcpy_direction + { + host_to_host, + host_to_device, + device_to_host, + device_to_device, + automatic + }; + + enum memory_region + { + global = 0, // device global memory + constant, // device constant memory + local, // device local memory + shared, // memory which can be accessed by host and device + }; + + enum class library_data_t : unsigned char + { + real_float = 0, + complex_float, + real_double, + complex_double, + real_half, + complex_half, + real_bfloat16, + complex_bfloat16, + real_int4, + complex_int4, + real_uint4, + complex_uint4, + real_int8, + complex_int8, + real_uint8, + complex_uint8, + real_int16, + complex_int16, + real_uint16, + complex_uint16, + real_int32, + complex_int32, + real_uint32, + complex_uint32, + real_int64, + complex_int64, + real_uint64, + complex_uint64, + real_int8_4, + real_int8_32, + real_uint8_4, + library_data_t_size + }; + + template + struct DataType + { + using T2 = T; + }; + template + struct DataType> + { + using T2 = std::complex; + }; + + static void destroy_event(event_ptr event) + { + delete event; + } + + static inline unsigned int get_tid() + { +#if defined(__linux__) + return syscall(SYS_gettid); +#elif defined(_WIN64) + return GetCurrentThreadId(); +#else +#error "Only support Windows and Linux." +#endif + } + + namespace detail + { + static void get_version(const sycl::device &dev, int &major, int &minor) + { + // Version string has the following format: + // a. OpenCL + // b. + // c. e.g gfx1030 + std::string ver; + ver = dev.get_info(); + std::string::size_type i = 0; + while (i < ver.size()) { + if (isdigit(ver[i])) + break; + i++; + } + major = std::stoi(&(ver[i])); + while (i < ver.size()) { + if (ver[i] == '.') + break; + i++; + } + if (i < ver.size()) { + // a. and b. + i++; + minor = std::stoi(&(ver[i])); + } else { + // c. + minor = 0; + } + } + + template + class generic_error_type + { + public: + generic_error_type() = default; + generic_error_type(T value) : value{value} {} + operator T() const { return value; } + + private: + T value; + }; + + } // namespace detail + + /// Pitched 2D/3D memory data. + class pitched_data + { + public: + pitched_data() : pitched_data(nullptr, 0, 0, 0) {} + pitched_data(void *data, size_t pitch, size_t x, size_t y) + : _data(data), _pitch(pitch), _x(x), _y(y) {} + + void *get_data_ptr() { return _data; } + void set_data_ptr(void *data) { _data = data; } + + size_t get_pitch() { return _pitch; } + void set_pitch(size_t pitch) { _pitch = pitch; } + + size_t get_x() { return _x; } + void set_x(size_t x) { _x = x; }; + + size_t get_y() { return _y; } + void set_y(size_t y) { _y = y; } + + private: + void *_data; + size_t _pitch, _x, _y; + }; + + class device_info + { + public: + // get interface + const char *get_name() const { return _name; } + char *get_name() { return _name; } + template , + std::enable_if_t> || + std::is_same_v, + int> = 0> + auto get_max_work_item_sizes() const + { + if constexpr (std::is_same_v>) + return sycl::range<3>(_max_work_item_sizes_i[0], + _max_work_item_sizes_i[1], + _max_work_item_sizes_i[2]); + else + { + return _max_work_item_sizes_i; + } + } + template , + std::enable_if_t> || + std::is_same_v, + int> = 0> + auto get_max_work_item_sizes() + { + if constexpr (std::is_same_v>) + return sycl::range<3>(_max_work_item_sizes_i[0], + _max_work_item_sizes_i[1], + _max_work_item_sizes_i[2]); + else + { + return _max_work_item_sizes_i; + } + } + bool get_host_unified_memory() const { return _host_unified_memory; } + int get_major_version() const { return _major; } + int get_minor_version() const { return _minor; } + int get_integrated() const { return _integrated; } + int get_max_clock_frequency() const { return _frequency; } + int get_max_compute_units() const { return _max_compute_units; } + int get_max_work_group_size() const { return _max_work_group_size; } + int get_max_sub_group_size() const { return _max_sub_group_size; } + int get_max_work_items_per_compute_unit() const + { + return _max_work_items_per_compute_unit; + } + int get_max_register_size_per_work_group() const + { + return _max_register_size_per_work_group; + } + template || + std::is_same_v, + int> = 0> + auto get_max_nd_range_size() const + { + if constexpr (std::is_same_v) + return _max_nd_range_size; + else + return _max_nd_range_size_i; + } + template || + std::is_same_v, + int> = 0> + auto get_max_nd_range_size() + { + if constexpr (std::is_same_v) + return _max_nd_range_size; + else + return _max_nd_range_size_i; + } + size_t get_global_mem_size() const { return _global_mem_size; } + size_t get_local_mem_size() const { return _local_mem_size; } + size_t get_max_mem_alloc_size() const { return _max_mem_alloc_size; } + /// Returns the maximum clock rate of device's global memory in kHz. If + /// compiler does not support this API then returns default value 3200000 kHz. + unsigned int get_memory_clock_rate() const { return _memory_clock_rate; } + /// Returns the maximum bus width between device and memory in bits. If + /// compiler does not support this API then returns default value 64 bits. + unsigned int get_memory_bus_width() const { return _memory_bus_width; } + uint32_t get_device_id() const { return _device_id; } + std::array get_uuid() const { return _uuid; } + /// Returns global memory cache size in bytes. + unsigned int get_global_mem_cache_size() const + { + return _global_mem_cache_size; + } + + // set interface + void set_name(const char *name) + { + size_t length = strlen(name); + if (length < 256) + { + std::memcpy(_name, name, length + 1); + } + else + { + std::memcpy(_name, name, 255); + _name[255] = '\0'; + } + } + void set_max_work_item_sizes(const sycl::range<3> max_work_item_sizes) + { + for (int i = 0; i < 3; ++i) + _max_work_item_sizes_i[i] = max_work_item_sizes[i]; + } + [[deprecated]] void + set_max_work_item_sizes(const sycl::id<3> max_work_item_sizes) + { + for (int i = 0; i < 3; ++i) + { + _max_work_item_sizes_i[i] = max_work_item_sizes[i]; + } + } + void set_host_unified_memory(bool host_unified_memory) + { + _host_unified_memory = host_unified_memory; + } + void set_major_version(int major) { _major = major; } + void set_minor_version(int minor) { _minor = minor; } + void set_integrated(int integrated) { _integrated = integrated; } + void set_max_clock_frequency(int frequency) { _frequency = frequency; } + void set_max_compute_units(int max_compute_units) + { + _max_compute_units = max_compute_units; + } + void set_global_mem_size(size_t global_mem_size) + { + _global_mem_size = global_mem_size; + } + void set_local_mem_size(size_t local_mem_size) + { + _local_mem_size = local_mem_size; + } + void set_max_mem_alloc_size(size_t max_mem_alloc_size) + { + _max_mem_alloc_size = max_mem_alloc_size; + } + void set_max_work_group_size(int max_work_group_size) + { + _max_work_group_size = max_work_group_size; + } + void set_max_sub_group_size(int max_sub_group_size) + { + _max_sub_group_size = max_sub_group_size; + } + void + set_max_work_items_per_compute_unit(int max_work_items_per_compute_unit) + { + _max_work_items_per_compute_unit = max_work_items_per_compute_unit; + } + void set_max_nd_range_size(int max_nd_range_size[]) + { + for (int i = 0; i < 3; i++) + { + _max_nd_range_size[i] = max_nd_range_size[i]; + _max_nd_range_size_i[i] = max_nd_range_size[i]; + } + } + void set_memory_clock_rate(unsigned int memory_clock_rate) + { + _memory_clock_rate = memory_clock_rate; + } + void set_memory_bus_width(unsigned int memory_bus_width) + { + _memory_bus_width = memory_bus_width; + } + void + set_max_register_size_per_work_group(int max_register_size_per_work_group) + { + _max_register_size_per_work_group = max_register_size_per_work_group; + } + void set_device_id(uint32_t device_id) + { + _device_id = device_id; + } + void set_uuid(std::array uuid) + { + _uuid = std::move(uuid); + } + void set_global_mem_cache_size(unsigned int global_mem_cache_size) + { + _global_mem_cache_size = global_mem_cache_size; + } + + private: + char _name[256]; + int _max_work_item_sizes_i[3]; + bool _host_unified_memory = false; + int _major; + int _minor; + int _integrated = 0; + int _frequency; + // Set estimated value 3200000 kHz as default value. + unsigned int _memory_clock_rate = 3200000; + // Set estimated value 64 bits as default value. + unsigned int _memory_bus_width = 64; + unsigned int _global_mem_cache_size; + int _max_compute_units; + int _max_work_group_size; + int _max_sub_group_size; + int _max_work_items_per_compute_unit; + int _max_register_size_per_work_group; + size_t _global_mem_size; + size_t _local_mem_size; + size_t _max_mem_alloc_size; + size_t _max_nd_range_size[3]; + int _max_nd_range_size_i[3]; + uint32_t _device_id; + std::array _uuid; + }; + + static int get_major_version(const sycl::device &dev) + { + int major, minor; + detail::get_version(dev, major, minor); + return major; + } + + static int get_minor_version(const sycl::device &dev) + { + int major, minor; + detail::get_version(dev, major, minor); + return minor; + } + + static void get_device_info(device_info &out, const sycl::device &dev) + { + device_info prop; + prop.set_name(dev.get_info().c_str()); + + int major, minor; + detail::get_version(dev, major, minor); + prop.set_major_version(major); + prop.set_minor_version(minor); + + prop.set_max_work_item_sizes( +#if (__SYCL_COMPILER_VERSION && __SYCL_COMPILER_VERSION < 20220902) + // oneAPI DPC++ compiler older than 2022/09/02, where max_work_item_sizes + // is an enum class element + dev.get_info()); +#else + // SYCL 2020-conformant code, max_work_item_sizes is a struct templated by + // an int + dev.get_info>()); +#endif + prop.set_host_unified_memory(dev.has(sycl::aspect::usm_host_allocations)); + + prop.set_max_clock_frequency( + dev.get_info() * 1000); + + prop.set_max_compute_units( + dev.get_info()); + prop.set_max_work_group_size( + dev.get_info()); + prop.set_global_mem_size(dev.get_info()); + prop.set_local_mem_size(dev.get_info()); + prop.set_max_mem_alloc_size(dev.get_info()); + +#if (defined(SYCL_EXT_INTEL_DEVICE_INFO) && SYCL_EXT_INTEL_DEVICE_INFO >= 6) + if (dev.has(sycl::aspect::ext_intel_memory_clock_rate)) + { + unsigned int tmp = + dev.get_info(); + if (tmp != 0) + prop.set_memory_clock_rate(1000 * tmp); + } + if (dev.has(sycl::aspect::ext_intel_memory_bus_width)) + { + prop.set_memory_bus_width( + dev.get_info()); + } + if (dev.has(sycl::aspect::ext_intel_device_id)) + { + prop.set_device_id( + dev.get_info()); + } + if (dev.has(sycl::aspect::ext_intel_device_info_uuid)) + { + prop.set_uuid(dev.get_info()); + } +#elif defined(_MSC_VER) && !defined(__clang__) +#pragma message("get_device_info: querying memory_clock_rate and \ + memory_bus_width are not supported by the compiler used. \ + Use 3200000 kHz as memory_clock_rate default value. \ + Use 64 bits as memory_bus_width default value.") +#else +#warning "get_device_info: querying memory_clock_rate and \ + memory_bus_width are not supported by the compiler used. \ + Use 3200000 kHz as memory_clock_rate default value. \ + Use 64 bits as memory_bus_width default value." +#endif + + size_t max_sub_group_size = 1; + std::vector sub_group_sizes = + dev.get_info(); + + for (const auto &sub_group_size : sub_group_sizes) + { + if (max_sub_group_size < sub_group_size) + max_sub_group_size = sub_group_size; + } + + prop.set_max_sub_group_size(max_sub_group_size); + + prop.set_max_work_items_per_compute_unit( + dev.get_info()); + int max_nd_range_size[] = {0x7FFFFFFF, 0x7FFFFFFF, 0x7FFFFFFF}; + prop.set_max_nd_range_size(max_nd_range_size); + + // Estimates max register size per work group, feel free to update the value + // according to device properties. + prop.set_max_register_size_per_work_group(65536); + + prop.set_global_mem_cache_size( + dev.get_info()); + out = prop; + } + + /// 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(); + } + + 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_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(); + } + + 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_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_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_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"; +#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(); + } +#else + 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); + 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, + 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()); + } + + 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; } + + private: + void clear_queues() + { + _queues.clear(); + _q_in_order = _q_out_of_order = _saved_queue = nullptr; + } + + 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( +#ifdef DPCT_PROFILING_ENABLED + sycl::property::queue::enable_profiling(), +#endif + properties...))); + + return _queues.back().get(); + } + + template + sycl::queue *create_queue_impl(sycl::context context, 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(); + } + + 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; + }; + + /// device manager + class dev_mgr + { + public: + device_ext ¤t_device() + { + unsigned int dev_id = current_device_id(); + check_id(dev_id); + return *_devs[dev_id]; + } + device_ext &cpu_device() const + { + std::lock_guard lock(m_mutex); + if (_cpu_device == -1) + { + throw std::runtime_error("no valid cpu device"); + } + else + { + return *_devs[_cpu_device]; + } + } + device_ext &get_device(unsigned int id) const + { + std::lock_guard lock(m_mutex); + check_id(id); + return *_devs[id]; + } + unsigned int current_device_id() const + { + std::lock_guard lock(m_mutex); + auto it = _thread2dev_map.find(get_tid()); + if (it != _thread2dev_map.end()) + return it->second; + return DEFAULT_DEVICE_ID; + } + + /// Select device with a device ID. + /// \param [in] id The id of the device which can + /// be obtained through get_device_id(const sycl::device). + void select_device(unsigned int id) + { + std::lock_guard lock(m_mutex); + check_id(id); + _thread2dev_map[get_tid()] = id; + } + unsigned int device_count() { return _devs.size(); } + + unsigned int get_device_id(const sycl::device &dev) + { + unsigned int id = 0; + for (auto dev_item : _devs) + { + if (*dev_item == dev) + { + break; + } + id++; + } + return id; + } + + template + std::enable_if_t< + std::is_invocable_r_v> + select_device(const DeviceSelector &selector = sycl::gpu_selector_v) + { + sycl::device selected_device = sycl::device(selector); + unsigned int selected_device_id = get_device_id(selected_device); + select_device(selected_device_id); + } + + /// Returns the instance of device manager singleton. + static dev_mgr &instance() + { + static dev_mgr d_m; + return d_m; + } + dev_mgr(const dev_mgr &) = delete; + dev_mgr &operator=(const dev_mgr &) = delete; + dev_mgr(dev_mgr &&) = delete; + dev_mgr &operator=(dev_mgr &&) = delete; + + private: + mutable std::recursive_mutex m_mutex; + static bool compare_dev(sycl::device &device1, sycl::device &device2) + { + sycl::backend backend1 = device1.get_backend(); + sycl::backend backend2 = device2.get_backend(); + // levelzero backends always come first + if(backend1 == sycl::backend::ext_oneapi_level_zero && backend2 != sycl::backend::ext_oneapi_level_zero) return true; + if(backend1 != sycl::backend::ext_oneapi_level_zero && backend2 == sycl::backend::ext_oneapi_level_zero) return false; + dpct::device_info prop1; + dpct::get_device_info(prop1, device1); + dpct::device_info prop2; + dpct::get_device_info(prop2, device2); + return prop1.get_max_compute_units() > prop2.get_max_compute_units(); + } + static int convert_backend_index(std::string & backend) { + if (backend == "ext_oneapi_level_zero:gpu") return 0; + if (backend == "opencl:gpu") return 1; + if (backend == "ext_oneapi_cuda:gpu") return 2; + if (backend == "ext_oneapi_hip:gpu") return 3; + if (backend == "opencl:cpu") return 4; + if (backend == "opencl:acc") return 5; + printf("convert_backend_index: can't handle backend=%s\n", backend.c_str()); + GGML_ASSERT(false); + } + static bool compare_backend(std::string &backend1, std::string &backend2) { + return convert_backend_index(backend1) < convert_backend_index(backend2); + } + dev_mgr() + { + sycl::device default_device = + sycl::device(sycl::default_selector_v); + _devs.push_back(std::make_shared(default_device)); + + std::vector sycl_all_devs; + // Collect other devices except for the default device. + if (default_device.is_cpu()) + _cpu_device = 0; + + auto Platforms = sycl::platform::get_platforms(); + // Keep track of the number of devices per backend + std::map DeviceNums; + std::map> backend_devices; + + while (!Platforms.empty()) { + auto Platform = Platforms.back(); + Platforms.pop_back(); + auto devices = Platform.get_devices(); + std::string backend_type = get_device_backend_and_type(devices[0]); + for (const auto &device : devices) { + backend_devices[backend_type].push_back(device); + } + } + + std::vector keys; + for(auto it = backend_devices.begin(); it != backend_devices.end(); ++it) { + keys.push_back(it->first); + } + std::sort(keys.begin(), keys.end(), compare_backend); + + for (auto &key : keys) { + std::vector devs = backend_devices[key]; + std::sort(devs.begin(), devs.end(), compare_dev); + for (const auto &dev : devs) { + sycl_all_devs.push_back(dev); + } + } + + for (auto &dev : sycl_all_devs) + { + if (dev == default_device) + { + continue; + } + _devs.push_back(std::make_shared(dev)); + if (_cpu_device == -1 && dev.is_cpu()) + { + _cpu_device = _devs.size() - 1; + } + } + } + void check_id(unsigned int id) const + { + if (id >= _devs.size()) + { + throw std::runtime_error("invalid device id"); + } + } + std::vector> _devs; + /// DEFAULT_DEVICE_ID is used, if current_device_id() can not find current + /// thread id in _thread2dev_map, which means default device should be used + /// for the current thread. + const unsigned int DEFAULT_DEVICE_ID = 0; + /// thread-id to device-id map. + std::map _thread2dev_map; + int _cpu_device = -1; + }; + + static inline sycl::queue &get_default_queue() + { + return dev_mgr::instance().current_device().default_queue(); + } + + namespace detail + { + enum class pointer_access_attribute + { + host_only = 0, + device_only, + host_device, + end + }; + + static pointer_access_attribute get_pointer_attribute(sycl::queue &q, + const void *ptr) + { + switch (sycl::get_pointer_type(ptr, q.get_context())) + { + case sycl::usm::alloc::unknown: + return pointer_access_attribute::host_only; + case sycl::usm::alloc::device: + return pointer_access_attribute::device_only; + case sycl::usm::alloc::shared: + case sycl::usm::alloc::host: + return pointer_access_attribute::host_device; + } + } + + template + inline constexpr std::uint64_t get_type_combination_id(ArgT Val) + { + static_assert((unsigned char)library_data_t::library_data_t_size <= + std::numeric_limits::max() && + "library_data_t size exceeds limit."); + static_assert(std::is_same_v, "Unsupported ArgT"); + return (std::uint64_t)Val; + } + + template + inline constexpr std::uint64_t get_type_combination_id(FirstT FirstVal, + RestT... RestVal) + { + static_assert((std::uint8_t)library_data_t::library_data_t_size <= + std::numeric_limits::max() && + "library_data_t size exceeds limit."); + static_assert(sizeof...(RestT) <= 8 && "Too many parameters"); + static_assert(std::is_same_v, "Unsupported FirstT"); + return get_type_combination_id(RestVal...) << 8 | ((std::uint64_t)FirstVal); + } + + class mem_mgr + { + mem_mgr() + { + // Reserved address space, no real memory allocation happens here. +#if defined(__linux__) + mapped_address_space = + (byte_t *)mmap(nullptr, mapped_region_size, PROT_NONE, + MAP_PRIVATE | MAP_ANONYMOUS, -1, 0); +#elif defined(_WIN64) + mapped_address_space = (byte_t *)VirtualAlloc( + NULL, // NULL specified as the base address parameter + mapped_region_size, // Size of allocation + MEM_RESERVE, // Allocate reserved pages + PAGE_NOACCESS); // Protection = no access +#else +#error "Only support Windows and Linux." +#endif + next_free = mapped_address_space; + }; + + public: + using buffer_id_t = int; + + struct allocation + { + buffer_t buffer; + byte_t *alloc_ptr; + size_t size; + }; + + ~mem_mgr() + { +#if defined(__linux__) + munmap(mapped_address_space, mapped_region_size); +#elif defined(_WIN64) + VirtualFree(mapped_address_space, 0, MEM_RELEASE); +#else +#error "Only support Windows and Linux." +#endif + }; + + mem_mgr(const mem_mgr &) = delete; + mem_mgr &operator=(const mem_mgr &) = delete; + mem_mgr(mem_mgr &&) = delete; + mem_mgr &operator=(mem_mgr &&) = delete; + + /// Allocate + void *mem_alloc(size_t size) + { + if (!size) + return nullptr; + std::lock_guard lock(m_mutex); + if (next_free + size > mapped_address_space + mapped_region_size) + { + throw std::runtime_error("dpct_malloc: out of memory for virtual memory pool"); + } + // Allocation + sycl::range<1> r(size); + buffer_t buf(r); + allocation A{buf, next_free, size}; + // Map allocation to device pointer + void *result = next_free; + m_map.emplace(next_free + size, A); + // Update pointer to the next free space. + next_free += (size + extra_padding + alignment - 1) & ~(alignment - 1); + + return result; + } + + /// Deallocate + void mem_free(const void *ptr) + { + if (!ptr) + return; + std::lock_guard lock(m_mutex); + auto it = get_map_iterator(ptr); + m_map.erase(it); + } + + /// map: device pointer -> allocation(buffer, alloc_ptr, size) + allocation translate_ptr(const void *ptr) + { + std::lock_guard lock(m_mutex); + auto it = get_map_iterator(ptr); + return it->second; + } + + /// Check if the pointer represents device pointer or not. + bool is_device_ptr(const void *ptr) const + { + std::lock_guard lock(m_mutex); + return (mapped_address_space <= ptr) && + (ptr < mapped_address_space + mapped_region_size); + } + + /// Returns the instance of memory manager singleton. + static mem_mgr &instance() + { + static mem_mgr m; + return m; + } + + private: + std::map m_map; + mutable std::mutex m_mutex; + byte_t *mapped_address_space; + byte_t *next_free; + const size_t mapped_region_size = 128ull * 1024 * 1024 * 1024; + const size_t alignment = 256; + /// This padding may be defined to some positive value to debug + /// out of bound accesses. + const size_t extra_padding = 0; + + std::map::iterator get_map_iterator(const void *ptr) + { + auto it = m_map.upper_bound((byte_t *)ptr); + if (it == m_map.end()) + { + // Not a virtual pointer. + throw std::runtime_error("can not get buffer from non-virtual pointer"); + } + const allocation &alloc = it->second; + if (ptr < alloc.alloc_ptr) + { + // Out of bound. + // This may happen if there's a gap between allocations due to alignment + // or extra padding and pointer points to this gap. + throw std::runtime_error("invalid virtual pointer"); + } + return it; + } + }; + + template + class accessor; + template + class memory_traits + { + public: + static constexpr sycl::access::target target = + sycl::access::target::device; + static constexpr sycl::access_mode mode = + (Memory == constant) ? sycl::access_mode::read + : sycl::access_mode::read_write; + static constexpr size_t type_size = sizeof(T); + using element_t = + typename std::conditional::type; + using value_t = typename std::remove_cv::type; + template + using accessor_t = typename std::conditional< + Memory == local, sycl::local_accessor, + sycl::accessor>::type; + using pointer_t = T *; + }; + + static inline void *dpct_malloc(size_t size, sycl::queue &q) + { + return sycl::malloc_device(size, q.get_device(), q.get_context()); + } + +#define PITCH_DEFAULT_ALIGN(x) (((x) + 31) & ~(0x1F)) + static inline void *dpct_malloc(size_t &pitch, size_t x, size_t y, size_t z, + sycl::queue &q) + { + pitch = PITCH_DEFAULT_ALIGN(x); + return dpct_malloc(pitch * y * z, q); + } + + /** + * @brief Sets \p value to the first \p size elements starting from \p dev_ptr in \p q. + * @tparam valueT The type of the element to be set. + * @param [in] q The queue in which the operation is done. + * @param [in] dev_ptr Pointer to the virtual device memory address. + * @param [in] value The value to be set. + * @param [in] size Number of elements to be set to the value. + * @return An event representing the memset operation. + */ + template + static inline sycl::event dpct_memset(sycl::queue &q, void *dev_ptr, + valueT value, size_t size) + { + return q.fill(dev_ptr, value, size); + } + + /** + * @brief Sets \p value to the 3D memory region pointed by \p data in \p q. + * @tparam valueT The type of the element to be set. + * @param [in] q The queue in which the operation is done. + * @param [in] data Pointer to the pitched device memory region. + * @param [in] value The value to be set. + * @param [in] size 3D memory region by number of elements. + * @return An event list representing the memset operations. + */ + template + static inline std::vector + dpct_memset(sycl::queue &q, pitched_data data, valueT value, + sycl::range<3> size) + { + std::vector event_list; + size_t slice = data.get_pitch() * data.get_y(); + unsigned char *data_surface = (unsigned char *)data.get_data_ptr(); + for (size_t z = 0; z < size.get(2); ++z) + { + unsigned char *data_ptr = data_surface; + for (size_t y = 0; y < size.get(1); ++y) + { + event_list.push_back(dpct_memset(q, data_ptr, value, size.get(0))); + data_ptr += data.get_pitch(); + } + data_surface += slice; + } + return event_list; + } + + /** + * @brief Sets \p val to the pitched 2D memory region pointed by \p ptr in \p q. + * @tparam valueT The type of the element to be set. + * @param [in] q The queue in which the operation is done. + * @param [in] ptr Pointer to the virtual device memory. + * @param [in] pitch The pitch size by number of elements, including padding. + * @param [in] val The value to be set. + * @param [in] x The width of memory region by number of elements. + * @param [in] y The height of memory region by number of elements. + * @return An event list representing the memset operations. + */ + template + static inline std::vector + dpct_memset(sycl::queue &q, void *ptr, size_t pitch, valueT val, size_t x, + size_t y) + { + return dpct_memset(q, pitched_data(ptr, pitch, x, 1), val, + sycl::range<3>(x, y, 1)); + } + + static memcpy_direction deduce_memcpy_direction(sycl::queue &q, void *to_ptr, + const void *from_ptr, + memcpy_direction dir) + { + switch (dir) + { + case memcpy_direction::host_to_host: + case memcpy_direction::host_to_device: + case memcpy_direction::device_to_host: + case memcpy_direction::device_to_device: + return dir; + case memcpy_direction::automatic: + { + // table[to_attribute][from_attribute] + static const memcpy_direction + direction_table[static_cast(pointer_access_attribute::end)] + [static_cast(pointer_access_attribute::end)] = + {{memcpy_direction::host_to_host, + memcpy_direction::device_to_host, + memcpy_direction::host_to_host}, + {memcpy_direction::host_to_device, + memcpy_direction::device_to_device, + memcpy_direction::device_to_device}, + {memcpy_direction::host_to_host, + memcpy_direction::device_to_device, + memcpy_direction::device_to_device}}; + return direction_table[static_cast(get_pointer_attribute( + q, to_ptr))][static_cast(get_pointer_attribute(q, from_ptr))]; + } + default: + throw std::runtime_error("dpct_memcpy: invalid direction value"); + } + } + + static sycl::event + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, + memcpy_direction direction, + const std::vector &dep_events = {}) + { + if (!size) + return sycl::event{}; + return q.memcpy(to_ptr, from_ptr, size, dep_events); + GGML_UNUSED(direction); + } + + // Get actual copy range and make sure it will not exceed range. + static inline size_t get_copy_range(sycl::range<3> size, size_t slice, + size_t pitch) + { + return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); + } + + static inline size_t get_offset(sycl::id<3> id, size_t slice, + size_t pitch) + { + return slice * id.get(2) + pitch * id.get(1) + id.get(0); + } + + /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr + /// and \p from_range to another specified by \p to_ptr and \p to_range. + static inline std::vector + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, + sycl::range<3> to_range, sycl::range<3> from_range, + sycl::id<3> to_id, sycl::id<3> from_id, + sycl::range<3> size, memcpy_direction direction, + const std::vector &dep_events = {}) + { + // RAII for host pointer + class host_buffer + { + void *_buf; + size_t _size; + sycl::queue &_q; + const std::vector &_deps; // free operation depends + + public: + host_buffer(size_t size, sycl::queue &q, + const std::vector &deps) + : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} + void *get_ptr() const { return _buf; } + size_t get_size() const { return _size; } + ~host_buffer() + { + if (_buf) + { + _q.submit([&](sycl::handler &cgh) + { + cgh.depends_on(_deps); + cgh.host_task([buf = _buf] { std::free(buf); }); }); + } + } + }; + std::vector event_list; + + size_t to_slice = to_range.get(1) * to_range.get(0), + from_slice = from_range.get(1) * from_range.get(0); + unsigned char *to_surface = + (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); + const unsigned char *from_surface = + (const unsigned char *)from_ptr + + get_offset(from_id, from_slice, from_range.get(0)); + + if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) + { + return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), + direction, dep_events)}; + } + direction = deduce_memcpy_direction(q, to_ptr, from_ptr, direction); + size_t size_slice = size.get(1) * size.get(0); + switch (direction) + { + case host_to_host: + for (size_t z = 0; z < size.get(2); ++z) + { + unsigned char *to_ptr = to_surface; + const unsigned char *from_ptr = from_surface; + if (to_range.get(0) == from_range.get(0) && + to_range.get(0) == size.get(0)) + { + event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, + direction, dep_events)); + } + else + { + for (size_t y = 0; y < size.get(1); ++y) + { + event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), + direction, dep_events)); + to_ptr += to_range.get(0); + from_ptr += from_range.get(0); + } + } + to_surface += to_slice; + from_surface += from_slice; + } + break; + case host_to_device: + { + host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, + event_list); + std::vector host_events; + if (to_slice == size_slice) + { + // Copy host data to a temp host buffer with the shape of target. + host_events = + dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, + host_to_host, dep_events); + } + else + { + // Copy host data to a temp host buffer with the shape of target. + host_events = dpct_memcpy( + q, buf.get_ptr(), from_surface, to_range, from_range, + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, + // If has padding data, not sure whether it is useless. So fill temp + // buffer with it. + std::vector{ + dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), + device_to_host, dep_events)}); + } + // Copy from temp host buffer to device with only one submit. + event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), + buf.get_size(), host_to_device, + host_events)); + break; + } + case device_to_host: + { + host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, + event_list); + // Copy from host temp buffer to host target with reshaping. + event_list = dpct_memcpy( + q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), + sycl::id<3>(0, 0, 0), size, host_to_host, + // Copy from device to temp host buffer with only one submit. + std::vector{dpct_memcpy(q, buf.get_ptr(), from_surface, + buf.get_size(), + device_to_host, dep_events)}); + break; + } + case device_to_device: + event_list.push_back(q.submit([&](sycl::handler &cgh){ + cgh.depends_on(dep_events); + cgh.parallel_for( + size, + [=](sycl::id<3> id) { + to_surface[get_offset(id, to_slice, to_range.get(0))] = + from_surface[get_offset(id, from_slice, from_range.get(0))]; + }); })); + break; + default: + throw std::runtime_error("dpct_memcpy: invalid direction value"); + } + return event_list; + } + + /// memcpy 2D/3D matrix specified by pitched_data. + static inline std::vector + dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, + pitched_data from, sycl::id<3> from_id, sycl::range<3> size, + memcpy_direction direction = automatic) + { + return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), + sycl::range<3>(to.get_pitch(), to.get_y(), 1), + sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, + size, direction); + } + + /// memcpy 2D matrix with pitch. + static inline std::vector + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, + size_t to_pitch, size_t from_pitch, size_t x, size_t y, + memcpy_direction direction = automatic) + { + return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), + sycl::range<3>(from_pitch, y, 1), + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), + sycl::range<3>(x, y, 1), direction); + } + + namespace deprecated + { + + template + class usm_allocator + { + private: + using Alloc = sycl::usm_allocator; + Alloc _impl; + + public: + using value_type = typename std::allocator_traits::value_type; + using pointer = typename std::allocator_traits::pointer; + using const_pointer = typename std::allocator_traits::const_pointer; + using void_pointer = typename std::allocator_traits::void_pointer; + using const_void_pointer = + typename std::allocator_traits::const_void_pointer; + using reference = typename std::allocator_traits::value_type &; + using const_reference = + const typename std::allocator_traits::value_type &; + using difference_type = + typename std::allocator_traits::difference_type; + using size_type = typename std::allocator_traits::size_type; + using propagate_on_container_copy_assignment = typename std::allocator_traits< + Alloc>::propagate_on_container_copy_assignment; + using propagate_on_container_move_assignment = typename std::allocator_traits< + Alloc>::propagate_on_container_move_assignment; + using propagate_on_container_swap = + typename std::allocator_traits::propagate_on_container_swap; + using is_always_equal = + typename std::allocator_traits::is_always_equal; + + template + struct rebind + { + typedef usm_allocator other; + }; + + usm_allocator() : _impl(dpct::get_default_queue()) {} + ~usm_allocator() {} + usm_allocator(const usm_allocator &other) : _impl(other._impl) {} + usm_allocator(usm_allocator &&other) : _impl(std::move(other._impl)) {} + pointer address(reference r) { return &r; } + const_pointer address(const_reference r) { return &r; } + pointer allocate(size_type cnt, const_void_pointer hint = nullptr) + { + return std::allocator_traits::allocate(_impl, cnt, hint); + } + void deallocate(pointer p, size_type cnt) + { + std::allocator_traits::deallocate(_impl, p, cnt); + } + size_type max_size() const + { + return std::allocator_traits::max_size(_impl); + } + bool operator==(const usm_allocator &other) const { return _impl == other._impl; } + bool operator!=(const usm_allocator &other) const { return _impl != other._impl; } + }; + + } // namespace deprecated + + inline void dpct_free(void *ptr, + const sycl::queue &q) + { + if (ptr) + { + sycl::free(ptr, q.get_context()); + } + } + + template + inline auto get_memory(const void *x) + { + T *new_x = reinterpret_cast(const_cast(x)); + return new_x; + } + + template + inline typename DataType::T2 get_value(const T *s, sycl::queue &q) + { + using Ty = typename DataType::T2; + Ty s_h; + if (get_pointer_attribute(q, s) == pointer_access_attribute::device_only) + detail::dpct_memcpy(q, (void *)&s_h, (const void *)s, sizeof(T), device_to_host) + .wait(); + else + s_h = *reinterpret_cast(s); + return s_h; + } + + } // namespace detail + + template + inline auto get_value(const T *s, sycl::queue &q) + { + return detail::get_value(s, q); + } + + namespace detail + { + template + inline void gemm_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, int k, + const void *alpha, const void *a, int lda, const void *b, + int ldb, const void *beta, void *c, int ldc) + { + Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); + Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); + auto data_a = get_memory(a); + auto data_b = get_memory(b); + auto data_c = get_memory(c); + oneapi::mkl::blas::column_major::gemm( + q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, + data_b, ldb, beta_value, data_c, ldc); + } + + template + class vectorized_binary + { + public: + inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) + { + VecT v4; + for (size_t i = 0; i < v4.size(); ++i) + { + v4[i] = binary_op(a[i], b[i]); + } + return v4; + } + }; + + template + class vectorized_binary< + VecT, BinaryOperation, + std::void_t>> + { + public: + inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op) + { + return binary_op(a, b).template as(); + } + }; + + template + inline void gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, int k, + const void *alpha, const void **a, int lda, + const void **b, int ldb, const void *beta, void **c, + int ldc, int batch_size) + { + struct matrix_info_t + { + oneapi::mkl::transpose transpose_info[2]; + Ts value_info[2]; + std::int64_t size_info[3]; + std::int64_t ld_info[3]; + std::int64_t groupsize_info; + }; + + Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); + Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); + + matrix_info_t *matrix_info = + (matrix_info_t *)std::malloc(sizeof(matrix_info_t)); + matrix_info->transpose_info[0] = a_trans; + matrix_info->transpose_info[1] = b_trans; + matrix_info->value_info[0] = alpha_value; + matrix_info->value_info[1] = beta_value; + matrix_info->size_info[0] = m; + matrix_info->size_info[1] = n; + matrix_info->size_info[2] = k; + matrix_info->ld_info[0] = lda; + matrix_info->ld_info[1] = ldb; + matrix_info->ld_info[2] = ldc; + matrix_info->groupsize_info = batch_size; + + sycl::event e = oneapi::mkl::blas::column_major::gemm_batch( + q, matrix_info->transpose_info, matrix_info->transpose_info + 1, + matrix_info->size_info, matrix_info->size_info + 1, + matrix_info->size_info + 2, matrix_info->value_info, + reinterpret_cast(a), matrix_info->ld_info, + reinterpret_cast(b), matrix_info->ld_info + 1, + matrix_info->value_info + 1, reinterpret_cast(c), + matrix_info->ld_info + 2, 1, &(matrix_info->groupsize_info)); + + q.submit([&](sycl::handler &cgh) + { + cgh.depends_on(e); + cgh.host_task([=] { std::free(matrix_info); }); }); + } + + template + inline void + gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, + int k, const void *alpha, const void *a, int lda, + long long int stride_a, const void *b, int ldb, + long long int stride_b, const void *beta, void *c, + int ldc, long long int stride_c, int batch_size) + { + Ts alpha_value = dpct::get_value(reinterpret_cast(alpha), q); + Ts beta_value = dpct::get_value(reinterpret_cast(beta), q); + auto data_a = get_memory(a); + auto data_b = get_memory(b); + auto data_c = get_memory(c); + oneapi::mkl::blas::column_major::gemm_batch( + q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda, + stride_a, data_b, ldb, stride_b, beta_value, + data_c, ldc, stride_c, batch_size); + } + + } // namespace detail + + template + inline unsigned vectorized_binary(unsigned a, unsigned b, + const BinaryOperation binary_op) + { + sycl::vec v0{a}, v1{b}; + auto v2 = v0.as(); + auto v3 = v1.as(); + auto v4 = + detail::vectorized_binary()(v2, v3, binary_op); + v0 = v4.template as>(); + return v0; + } + + static void async_dpct_memcpy(void *to_ptr, const void *from_ptr, size_t size, + memcpy_direction direction = automatic, + sycl::queue &q = dpct::get_default_queue()) + { + detail::dpct_memcpy(q, to_ptr, from_ptr, size, direction); + } + + static inline unsigned int select_device(unsigned int id) + { + dev_mgr::instance().select_device(id); + return id; + } + + template + T permute_sub_group_by_xor(sycl::sub_group g, T x, unsigned int mask, + unsigned int logical_sub_group_size = 32) + { + unsigned int id = g.get_local_linear_id(); + unsigned int start_index = + id / logical_sub_group_size * logical_sub_group_size; + unsigned int target_offset = (id % logical_sub_group_size) ^ mask; + return sycl::select_from_group(g, x, + target_offset < logical_sub_group_size + ? start_index + target_offset + : id); + } + + template + sycl::vec extract_and_sign_or_zero_extend4(T val) + { + return sycl::vec(val) + .template as, int8_t, uint8_t>, 4>>() + .template convert(); + } + + template + using dot_product_acc_t = + std::conditional_t && std::is_unsigned_v, + uint32_t, int32_t>; + + template + inline auto dp4a(T1 a, T2 b, T3 c) + { + dot_product_acc_t res = c; + auto va = extract_and_sign_or_zero_extend4(a); + auto vb = extract_and_sign_or_zero_extend4(b); + res += va[0] * vb[0]; + res += va[1] * vb[1]; + res += va[2] * vb[2]; + res += va[3] * vb[3]; + return res; + } + + struct sub_sat + { + template + auto operator()(const T x, const T y) const + { + return sycl::sub_sat(x, y); + } + }; + + template + inline T vectorized_min(T a, T b) + { + sycl::vec v0{a}, v1{b}; + auto v2 = v0.template as(); + auto v3 = v1.template as(); + auto v4 = sycl::min(v2, v3); + v0 = v4.template as>(); + return v0; + } + + inline float pow(const float a, const int b) { return sycl::pown(a, b); } + inline double pow(const double a, const int b) { return sycl::pown(a, b); } + inline float pow(const float a, const float b) { return sycl::pow(a, b); } + inline double pow(const double a, const double b) { return sycl::pow(a, b); } + template + inline typename std::enable_if_t, T> + pow(const T a, const U b) + { + return sycl::pow(a, static_cast(b)); + } + template + inline typename std::enable_if_t, double> + pow(const T a, const U b) + { + return sycl::pow(static_cast(a), static_cast(b)); + } + + inline double min(const double a, const float b) + { + return sycl::fmin(a, static_cast(b)); + } + inline double min(const float a, const double b) + { + return sycl::fmin(static_cast(a), b); + } + inline float min(const float a, const float b) { return sycl::fmin(a, b); } + inline double min(const double a, const double b) { return sycl::fmin(a, b); } + inline std::uint32_t min(const std::uint32_t a, const std::int32_t b) + { + return sycl::min(a, static_cast(b)); + } + inline std::uint32_t min(const std::int32_t a, const std::uint32_t b) + { + return sycl::min(static_cast(a), b); + } + inline std::int32_t min(const std::int32_t a, const std::int32_t b) + { + return sycl::min(a, b); + } + inline std::uint32_t min(const std::uint32_t a, const std::uint32_t b) + { + return sycl::min(a, b); + } + inline std::uint64_t min(const std::uint64_t a, const std::int64_t b) + { + return sycl::min(a, static_cast(b)); + } + inline std::uint64_t min(const std::int64_t a, const std::uint64_t b) + { + return sycl::min(static_cast(a), b); + } + inline std::int64_t min(const std::int64_t a, const std::int64_t b) + { + return sycl::min(a, b); + } + inline std::uint64_t min(const std::uint64_t a, const std::uint64_t b) + { + return sycl::min(a, b); + } + inline std::uint64_t min(const std::uint64_t a, const std::int32_t b) + { + return sycl::min(a, static_cast(b)); + } + inline std::uint64_t min(const std::int32_t a, const std::uint64_t b) + { + return sycl::min(static_cast(a), b); + } + inline std::uint64_t min(const std::uint64_t a, const std::uint32_t b) + { + return sycl::min(a, static_cast(b)); + } + inline std::uint64_t min(const std::uint32_t a, const std::uint64_t b) + { + return sycl::min(static_cast(a), b); + } + // max function overloads. + // For floating-point types, `float` or `double` arguments are acceptable. + // For integer types, `std::uint32_t`, `std::int32_t`, `std::uint64_t` or + // `std::int64_t` type arguments are acceptable. + inline double max(const double a, const float b) + { + return sycl::fmax(a, static_cast(b)); + } + inline double max(const float a, const double b) + { + return sycl::fmax(static_cast(a), b); + } + inline float max(const float a, const float b) { return sycl::fmax(a, b); } + inline double max(const double a, const double b) { return sycl::fmax(a, b); } + inline std::uint32_t max(const std::uint32_t a, const std::int32_t b) + { + return sycl::max(a, static_cast(b)); + } + inline std::uint32_t max(const std::int32_t a, const std::uint32_t b) + { + return sycl::max(static_cast(a), b); + } + inline std::int32_t max(const std::int32_t a, const std::int32_t b) + { + return sycl::max(a, b); + } + inline std::uint32_t max(const std::uint32_t a, const std::uint32_t b) + { + return sycl::max(a, b); + } + inline std::uint64_t max(const std::uint64_t a, const std::int64_t b) + { + return sycl::max(a, static_cast(b)); + } + inline std::uint64_t max(const std::int64_t a, const std::uint64_t b) + { + return sycl::max(static_cast(a), b); + } + inline std::int64_t max(const std::int64_t a, const std::int64_t b) + { + return sycl::max(a, b); + } + inline std::uint64_t max(const std::uint64_t a, const std::uint64_t b) + { + return sycl::max(a, b); + } + inline std::uint64_t max(const std::uint64_t a, const std::int32_t b) + { + return sycl::max(a, static_cast(b)); + } + inline std::uint64_t max(const std::int32_t a, const std::uint64_t b) + { + return sycl::max(static_cast(a), b); + } + inline std::uint64_t max(const std::uint64_t a, const std::uint32_t b) + { + return sycl::max(a, static_cast(b)); + } + inline std::uint64_t max(const std::uint32_t a, const std::uint64_t b) + { + return sycl::max(static_cast(a), b); + } + + inline void + has_capability_or_fail(const sycl::device &dev, + const std::initializer_list &props) + { + for (const auto &it : props) + { + if (dev.has(it)) + continue; + switch (it) + { + case sycl::aspect::fp64: + throw std::runtime_error("'double' is not supported in '" + + dev.get_info() + + "' device"); + break; + case sycl::aspect::fp16: + throw std::runtime_error("'half' is not supported in '" + + dev.get_info() + + "' device"); + break; + default: +#define __SYCL_ASPECT(ASPECT, ID) \ + case sycl::aspect::ASPECT: \ + return #ASPECT; +#define __SYCL_ASPECT_DEPRECATED(ASPECT, ID, MESSAGE) __SYCL_ASPECT(ASPECT, ID) +#define __SYCL_ASPECT_DEPRECATED_ALIAS(ASPECT, ID, MESSAGE) + auto getAspectNameStr = [](sycl::aspect AspectNum) -> std::string + { + switch (AspectNum) + { +#include +#include + default: + return "unknown aspect"; + } + }; +#undef __SYCL_ASPECT_DEPRECATED_ALIAS +#undef __SYCL_ASPECT_DEPRECATED +#undef __SYCL_ASPECT + throw std::runtime_error( + "'" + getAspectNameStr(it) + "' is not supported in '" + + dev.get_info() + "' device"); + } + break; + } + } + + static inline unsigned int get_current_device_id() + { + return dev_mgr::instance().current_device_id(); + } + + static inline device_ext &get_current_device() + { + return dev_mgr::instance().current_device(); + } + + static inline sycl::queue &get_in_order_queue() + { + return dev_mgr::instance().current_device().in_order_queue(); + } + + static sycl::event + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size, + memcpy_direction direction, + const std::vector &dep_events = {}) + { + if (!size) + return sycl::event{}; + return q.memcpy(to_ptr, from_ptr, size, dep_events); + GGML_UNUSED(direction); + } + + // Get actual copy range and make sure it will not exceed range. + static inline size_t get_copy_range(sycl::range<3> size, size_t slice, + size_t pitch) + { + return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0); + } + + static inline size_t get_offset(sycl::id<3> id, size_t slice, + size_t pitch) + { + return slice * id.get(2) + pitch * id.get(1) + id.get(0); + } + + /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr + /// and \p from_range to another specified by \p to_ptr and \p to_range. + static inline std::vector + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, + sycl::range<3> to_range, sycl::range<3> from_range, + sycl::id<3> to_id, sycl::id<3> from_id, + sycl::range<3> size, memcpy_direction direction, + const std::vector &dep_events = {}) + { + // RAII for host pointer + class host_buffer + { + void *_buf; + size_t _size; + sycl::queue &_q; + const std::vector &_deps; // free operation depends + + public: + host_buffer(size_t size, sycl::queue &q, + const std::vector &deps) + : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {} + void *get_ptr() const { return _buf; } + size_t get_size() const { return _size; } + ~host_buffer() + { + if (_buf) + { + _q.submit([&](sycl::handler &cgh) + { + cgh.depends_on(_deps); + cgh.host_task([buf = _buf] { std::free(buf); }); }); + } + } + }; + std::vector event_list; + + size_t to_slice = to_range.get(1) * to_range.get(0), + from_slice = from_range.get(1) * from_range.get(0); + unsigned char *to_surface = + (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0)); + const unsigned char *from_surface = + (const unsigned char *)from_ptr + + get_offset(from_id, from_slice, from_range.get(0)); + + if (to_slice == from_slice && to_slice == size.get(1) * size.get(0)) + { + return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2), + direction, dep_events)}; + } + direction = detail::deduce_memcpy_direction(q, to_ptr, from_ptr, direction); + size_t size_slice = size.get(1) * size.get(0); + switch (direction) + { + case host_to_host: + for (size_t z = 0; z < size.get(2); ++z) + { + unsigned char *to_ptr = to_surface; + const unsigned char *from_ptr = from_surface; + if (to_range.get(0) == from_range.get(0) && + to_range.get(0) == size.get(0)) + { + event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice, + direction, dep_events)); + } + else + { + for (size_t y = 0; y < size.get(1); ++y) + { + event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0), + direction, dep_events)); + to_ptr += to_range.get(0); + from_ptr += from_range.get(0); + } + } + to_surface += to_slice; + from_surface += from_slice; + } + break; + case host_to_device: + { + host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q, + event_list); + std::vector host_events; + if (to_slice == size_slice) + { + // Copy host data to a temp host buffer with the shape of target. + host_events = + dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range, + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, + host_to_host, dep_events); + } + else + { + // Copy host data to a temp host buffer with the shape of target. + host_events = dpct_memcpy( + q, buf.get_ptr(), from_surface, to_range, from_range, + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host, + // If has padding data, not sure whether it is useless. So fill temp + // buffer with it. + std::vector{ + dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(), + device_to_host, dep_events)}); + } + // Copy from temp host buffer to device with only one submit. + event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(), + buf.get_size(), host_to_device, + host_events)); + break; + } + case device_to_host: + { + host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q, + event_list); + // Copy from host temp buffer to host target with reshaping. + event_list = dpct_memcpy( + q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0), + sycl::id<3>(0, 0, 0), size, host_to_host, + // Copy from device to temp host buffer with only one submit. + std::vector{dpct_memcpy(q, buf.get_ptr(), from_surface, + buf.get_size(), + device_to_host, dep_events)}); + break; + } + case device_to_device: + event_list.push_back(q.submit([&](sycl::handler &cgh) + { + cgh.depends_on(dep_events); + cgh.parallel_for( + size, + [=](sycl::id<3> id) { + to_surface[get_offset(id, to_slice, to_range.get(0))] = + from_surface[get_offset(id, from_slice, from_range.get(0))]; + }); })); + break; + default: + throw std::runtime_error("dpct_memcpy: invalid direction value"); + } + return event_list; + } + + /// memcpy 2D/3D matrix specified by pitched_data. + static inline std::vector + dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id, + pitched_data from, sycl::id<3> from_id, sycl::range<3> size, + memcpy_direction direction = automatic) + { + return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(), + sycl::range<3>(to.get_pitch(), to.get_y(), 1), + sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id, + size, direction); + } + + /// memcpy 2D matrix with pitch. + static inline std::vector + dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, + size_t to_pitch, size_t from_pitch, size_t x, size_t y, + memcpy_direction direction = automatic) + { + return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1), + sycl::range<3>(from_pitch, y, 1), + sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), + sycl::range<3>(x, y, 1), direction); + } + + inline void gemm(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, int k, + const void *alpha, const void *a, library_data_t a_type, + int lda, const void *b, library_data_t b_type, int ldb, + const void *beta, void *c, library_data_t c_type, int ldc, + library_data_t scaling_type) + { + if (scaling_type == library_data_t::real_float && + c_type == library_data_t::complex_float) + { + scaling_type = library_data_t::complex_float; + } + else if (scaling_type == library_data_t::real_double && + c_type == library_data_t::complex_double) + { + scaling_type = library_data_t::complex_double; + } + + std::uint64_t key = + detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); + switch (key) + { + case detail::get_type_combination_id( + library_data_t::real_float, library_data_t::real_float, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_double, library_data_t::real_double, + library_data_t::real_double, library_data_t::real_double): + { + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_float, library_data_t::complex_float, + library_data_t::complex_float, library_data_t::complex_float): + { + detail::gemm_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_double, library_data_t::complex_double, + library_data_t::complex_double, library_data_t::complex_double): + { + detail::gemm_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_half): + { + detail::gemm_impl(q, a_trans, b_trans, m, n, k, alpha, a, + lda, b, ldb, beta, c, ldc); + break; + } +#ifdef __INTEL_MKL__ + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, b, + ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_float): + { + float alpha_value = + dpct::get_value(reinterpret_cast(alpha), q); + float beta_value = + dpct::get_value(reinterpret_cast(beta), q); + sycl::half alpha_half(alpha_value); + sycl::half beta_half(beta_value); + detail::gemm_impl(q, a_trans, b_trans, m, n, k, &alpha_half, + a, lda, b, ldb, &beta_half, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_bfloat16, library_data_t::real_float): + { + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_int32, library_data_t::real_int32): + { + float alpha_float = + dpct::get_value(reinterpret_cast(alpha), q); + float beta_float = + dpct::get_value(reinterpret_cast(beta), q); + detail::gemm_impl( + q, a_trans, b_trans, m, n, k, &alpha_float, a, lda, b, ldb, &beta_float, c, ldc); + break; + } +#endif // __INTEL_MKL__ + default: + throw std::runtime_error("the combination of data type is unsupported"); + } + } // gemm() + + /// Computes a batch of matrix-matrix product with general matrices. + /// \param [in] q The queue where the routine should be executed. + /// \param [in] a_trans Specifies the operation applied to A. + /// \param [in] b_trans Specifies the operation applied to B. + /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. + /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. + /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). + /// \param [in] alpha Scaling factor for the matrix-matrix product. + /// \param [in] a Input matrix A. + /// \param [in] a_type Data type of the matrix A. + /// \param [in] lda Leading dimension of A. + /// \param [in] b Input matrix B. + /// \param [in] b_type Data type of the matrix B. + /// \param [in] ldb Leading dimension of B. + /// \param [in] beta Scaling factor for matrix C. + /// \param [in, out] c Input/Output matrix C. + /// \param [in] c_type Data type of the matrix C. + /// \param [in] ldc Leading dimension of C. + /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. + /// \param [in] scaling_type Data type of the scaling factors. + inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, int k, + const void *alpha, const void *a[], + library_data_t a_type, int lda, const void *b[], + library_data_t b_type, int ldb, const void *beta, + void *c[], library_data_t c_type, int ldc, + int batch_size, library_data_t scaling_type) + { + if (scaling_type == library_data_t::real_float && + c_type == library_data_t::complex_float) + { + scaling_type = library_data_t::complex_float; + } + else if (scaling_type == library_data_t::real_double && + c_type == library_data_t::complex_double) + { + scaling_type = library_data_t::complex_double; + } + + std::uint64_t key = + detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); + switch (key) + { + case detail::get_type_combination_id( + library_data_t::real_float, library_data_t::real_float, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_double, library_data_t::real_double, + library_data_t::real_double, library_data_t::real_double): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_float, library_data_t::complex_float, + library_data_t::complex_float, library_data_t::complex_float): + { + detail::gemm_batch_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_double, library_data_t::complex_double, + library_data_t::complex_double, library_data_t::complex_double): + { + detail::gemm_batch_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_half): + { + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, + a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } +#ifdef __INTEL_MKL__ + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_bfloat16, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, + b, ldb, beta, c, ldc, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_int32, library_data_t::real_int32): + { + float alpha_float = + dpct::get_value(reinterpret_cast(alpha), q); + float beta_float = + dpct::get_value(reinterpret_cast(beta), q); + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, &alpha_float, + a, lda, b, ldb, &beta_float, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc, + batch_size); + break; + } +#endif + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_float): + { + float alpha_value = + dpct::get_value(reinterpret_cast(alpha), q); + float beta_value = + dpct::get_value(reinterpret_cast(beta), q); + sycl::half alpha_half(alpha_value); + sycl::half beta_half(beta_value); + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, b, ldb, &beta_half, c, ldc, + batch_size); + break; + } + default: + throw std::runtime_error("the combination of data type is unsupported"); + } + } + + /// Computes a batch of matrix-matrix product with general matrices. + /// \param [in] q The queue where the routine should be executed. + /// \param [in] a_trans Specifies the operation applied to A. + /// \param [in] b_trans Specifies the operation applied to B. + /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C. + /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C. + /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B). + /// \param [in] alpha Scaling factor for the matrix-matrix product. + /// \param [in] a Input matrix A. + /// \param [in] a_type Data type of the matrix A. + /// \param [in] lda Leading dimension of A. + /// \param [in] stride_a Stride between the different A matrices. + /// \param [in] b Input matrix B. + /// \param [in] b_type Data type of the matrix B. + /// \param [in] ldb Leading dimension of B. + /// \param [in] stride_b Stride between the different B matrices. + /// \param [in] beta Scaling factor for matrix C. + /// \param [in, out] c Input/Output matrix C. + /// \param [in] c_type Data type of the matrix C. + /// \param [in] ldc Leading dimension of C. + /// \param [in] stride_c Stride between the different C matrices. + /// \param [in] batch_size Specifies the number of matrix multiply operations to perform. + /// \param [in] scaling_type Data type of the scaling factors. + inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans, + oneapi::mkl::transpose b_trans, int m, int n, int k, + const void *alpha, const void *a, library_data_t a_type, + int lda, long long int stride_a, const void *b, + library_data_t b_type, int ldb, long long int stride_b, + const void *beta, void *c, library_data_t c_type, + int ldc, long long int stride_c, int batch_size, + library_data_t scaling_type) + { + if (scaling_type == library_data_t::real_float && + c_type == library_data_t::complex_float) + { + scaling_type = library_data_t::complex_float; + } + else if (scaling_type == library_data_t::real_double && + c_type == library_data_t::complex_double) + { + scaling_type = library_data_t::complex_double; + } + + std::uint64_t key = + detail::get_type_combination_id(a_type, b_type, c_type, scaling_type); + switch (key) + { + case detail::get_type_combination_id( + library_data_t::real_float, library_data_t::real_float, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_double, library_data_t::real_double, + library_data_t::real_double, library_data_t::real_double): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_float, library_data_t::complex_float, + library_data_t::complex_float, library_data_t::complex_float): + { + detail::gemm_batch_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::complex_double, library_data_t::complex_double, + library_data_t::complex_double, library_data_t::complex_double): + { + detail::gemm_batch_impl, std::complex, + std::complex, std::complex>( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_half): + { + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, + a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } +#ifdef __INTEL_MKL__ + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_bfloat16, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_bfloat16, library_data_t::real_bfloat16, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, a, lda, + stride_a, b, ldb, stride_b, beta, c, ldc, + stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_int32, library_data_t::real_int32): + { + detail::gemm_batch_impl(q, a_trans, b_trans, m, n, k, alpha, + a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_int8, library_data_t::real_int8, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_float, library_data_t::real_float): + { + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b, + beta, c, ldc, stride_c, batch_size); + break; + } +#endif + case detail::get_type_combination_id( + library_data_t::real_half, library_data_t::real_half, + library_data_t::real_half, library_data_t::real_float): + { + float alpha_value = + dpct::get_value(reinterpret_cast(alpha), q); + float beta_value = + dpct::get_value(reinterpret_cast(beta), q); + sycl::half alpha_half(alpha_value); + sycl::half beta_half(beta_value); + detail::gemm_batch_impl( + q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, stride_a, b, ldb, stride_b, + &beta_half, c, ldc, stride_c, batch_size); + break; + } + default: + throw std::runtime_error("the combination of data type is unsupported"); + } + } + + static inline void + async_dpct_memcpy(void *to_ptr, size_t to_pitch, const void *from_ptr, + size_t from_pitch, size_t x, size_t y, + memcpy_direction direction = automatic, + sycl::queue &q = get_default_queue()) + { + detail::dpct_memcpy(q, to_ptr, from_ptr, to_pitch, from_pitch, x, y, + direction); + } + + using err0 = detail::generic_error_type; + using err1 = detail::generic_error_type; + + static inline void dpct_free(void *ptr, sycl::queue &q = get_default_queue()) { + detail::dpct_free(ptr, q); + } + + /// dpct accessor used as device function parameter. + template class accessor; + template class accessor { + public: + using memory_t = detail::memory_traits; + using element_t = typename memory_t::element_t; + using pointer_t = typename memory_t::pointer_t; + using accessor_t = typename memory_t::template accessor_t<3>; + accessor(pointer_t data, const sycl::range<3> &in_range) + : _data(data), _range(in_range) {} + template + accessor(typename std::enable_if::type &acc) + : accessor(acc, acc.get_range()) {} + accessor(const accessor_t &acc, const sycl::range<3> &in_range) + : accessor(acc.get_pointer(), in_range) {} + accessor operator[](size_t index) const { + sycl::range<2> sub(_range.get(1), _range.get(2)); + return accessor(_data + index * sub.size(), sub); + } + + pointer_t get_ptr() const { return _data; } + + private: + pointer_t _data; + sycl::range<3> _range; + }; + template class accessor { + public: + using memory_t = detail::memory_traits; + using element_t = typename memory_t::element_t; + using pointer_t = typename memory_t::pointer_t; + using accessor_t = typename memory_t::template accessor_t<2>; + accessor(pointer_t data, const sycl::range<2> &in_range) + : _data(data), _range(in_range) {} + template + accessor(typename std::enable_if::type &acc) + : accessor(acc, acc.get_range()) {} + accessor(const accessor_t &acc, const sycl::range<2> &in_range) + : accessor(acc.get_pointer(), in_range) {} + + pointer_t operator[](size_t index) const { + return _data + _range.get(1) * index; + } + + pointer_t get_ptr() const { return _data; } + + private: + pointer_t _data; + sycl::range<2> _range; + }; + + namespace detail { + /// Device variable with address space of shared, global or constant. + template class device_memory { + public: + using accessor_t = + typename detail::memory_traits::template accessor_t; + using value_t = typename detail::memory_traits::value_t; + using dpct_accessor_t = dpct::accessor; + + device_memory() : device_memory(sycl::range(1)) {} + + /// Constructor of 1-D array with initializer list + device_memory(const sycl::range &in_range, + std::initializer_list &&init_list) + : device_memory(in_range) { + assert(init_list.size() <= in_range.size()); + _host_ptr = (value_t *)std::malloc(_size); + std::memset(_host_ptr, 0, _size); + std::memcpy(_host_ptr, init_list.begin(), init_list.size() * sizeof(T)); + } + + /// Constructor of 2-D array with initializer list + template + device_memory( + const typename std::enable_if>::type &in_range, + std::initializer_list> &&init_list) + : device_memory(in_range) { + assert(init_list.size() <= in_range[0]); + _host_ptr = (value_t *)std::malloc(_size); + std::memset(_host_ptr, 0, _size); + auto tmp_data = _host_ptr; + for (auto sub_list : init_list) { + assert(sub_list.size() <= in_range[1]); + std::memcpy(tmp_data, sub_list.begin(), + sub_list.size() * sizeof(T)); + tmp_data += in_range[1]; + } + } + + /// Constructor with range + device_memory(const sycl::range &range_in) + : _size(range_in.size() * sizeof(T)), _range(range_in), + _reference(false), _host_ptr(nullptr), _device_ptr(nullptr) { + static_assert( + (Memory == global) || (Memory == constant) || (Memory == shared), + "device memory region should be global, constant or shared"); + // Make sure that singleton class mem_mgr and dev_mgr will destruct + // later than this. + detail::mem_mgr::instance(); + dev_mgr::instance(); + } + + /// Constructor with range + template + device_memory(Args... Arguments) + : device_memory(sycl::range(Arguments...)) {} + + ~device_memory() { + if (_device_ptr && !_reference) + dpct::dpct_free(_device_ptr); + if (_host_ptr) + std::free(_host_ptr); + } + + /// Allocate memory with default queue, and init memory if has initial + /// value. + void init() { init(dpct::get_default_queue()); } + /// Allocate memory with specified queue, and init memory if has initial + /// value. + void init(sycl::queue &q) { + if (_device_ptr) + return; + if (!_size) + return; + allocate_device(q); + if (_host_ptr) + detail::dpct_memcpy(q, _device_ptr, _host_ptr, _size, + host_to_device); + } + + /// The variable is assigned to a device pointer. + void assign(value_t *src, size_t size) { + this->~device_memory(); + new (this) device_memory(src, size); + } + + /// Get memory pointer of the memory object, which is virtual pointer when + /// usm is not used, and device pointer when usm is used. + value_t *get_ptr() { return get_ptr(get_default_queue()); } + /// Get memory pointer of the memory object, which is virtual pointer when + /// usm is not used, and device pointer when usm is used. + value_t *get_ptr(sycl::queue &q) { + init(q); + return _device_ptr; + } + + /// Get the device memory object size in bytes. + size_t get_size() { return _size; } + + template + typename std::enable_if::type &operator[](size_t index) { + init(); + return _device_ptr[index]; + } + + /// Get dpct::accessor with dimension info for the device memory object + /// when usm is used and dimension is greater than 1. + template + typename std::enable_if::type + get_access([[maybe_unused]] sycl::handler &cgh) { + return dpct_accessor_t((T *)_device_ptr, _range); + } + + private: + device_memory(value_t *memory_ptr, size_t size) + : _size(size), _range(size / sizeof(T)), _reference(true), + _device_ptr(memory_ptr) {} + + void allocate_device(sycl::queue &q) { + #ifndef DPCT_USM_LEVEL_NONE + if (Memory == shared) { + _device_ptr = (value_t *)sycl::malloc_shared(_size, q.get_device(), + q.get_context()); + return; + } + #ifdef SYCL_EXT_ONEAPI_USM_DEVICE_READ_ONLY + if (Memory == constant) { + _device_ptr = (value_t *)sycl::malloc_device( + _size, q.get_device(), q.get_context(), + sycl::ext::oneapi::property::usm::device_read_only()); + return; + } + #endif + #endif + _device_ptr = (value_t *)detail::dpct_malloc(_size, q); + } + + size_t _size; + sycl::range _range; + bool _reference; + value_t *_host_ptr; + value_t *_device_ptr; + }; + template + class device_memory : public device_memory { + public: + using base = device_memory; + using value_t = typename base::value_t; + using accessor_t = + typename detail::memory_traits::template accessor_t<0>; + + /// Constructor with initial value. + device_memory(const value_t &val) : base(sycl::range<1>(1), {val}) {} + + /// Default constructor + device_memory() : base(1) {} + }; + } // namespace detail + + template + using global_memory = detail::device_memory; + template + using constant_memory = detail::device_memory; + template + using shared_memory = detail::device_memory; + + + template + inline T atomic_fetch_add(T *addr, T operand) { + auto atm = + sycl::atomic_ref(addr[0]); + return atm.fetch_add(operand); + } + + template + inline T1 atomic_fetch_add(T1 *addr, T2 operand) { + auto atm = + sycl::atomic_ref(addr[0]); + return atm.fetch_add(operand); + } + + template + inline T atomic_fetch_add(T *addr, T operand, + sycl::memory_order memoryOrder) { + switch (memoryOrder) { + case sycl::memory_order::relaxed: + return atomic_fetch_add(addr, operand); + case sycl::memory_order::acq_rel: + return atomic_fetch_add(addr, operand); + case sycl::memory_order::seq_cst: + return atomic_fetch_add(addr, operand); + default: + assert(false && "Invalid memory_order for atomics. Valid memory_order for " + "atomics are: sycl::memory_order::relaxed, " + "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!"); + } + } + + template + inline T1 atomic_fetch_add(T1 *addr, T2 operand, + sycl::memory_order memoryOrder) { + atomic_fetch_add(addr, operand, memoryOrder); + } + +} // COPY from DPCT head files + +#endif // GGML_SYCL_DPCT_HELPER_HPP diff --git a/ggml-sycl/presets.hpp b/ggml-sycl/presets.hpp new file mode 100644 index 000000000..dcf026110 --- /dev/null +++ b/ggml-sycl/presets.hpp @@ -0,0 +1,69 @@ +// +// 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_PRESETS_HPP +#define GGML_SYCL_PRESETS_HPP + +#define GGML_SYCL_MAX_STREAMS 8 +#define GGML_SYCL_MAX_BUFFERS 256 +#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 + +#define SYCL_GELU_BLOCK_SIZE 256 +#define SYCL_SILU_BLOCK_SIZE 256 +#define SYCL_TANH_BLOCK_SIZE 256 +#define SYCL_RELU_BLOCK_SIZE 256 +#define SYCL_HARDSIGMOID_BLOCK_SIZE 256 +#define SYCL_HARDSWISH_BLOCK_SIZE 256 +#define SYCL_SQR_BLOCK_SIZE 256 +#define SYCL_CPY_BLOCK_SIZE 32 +#define SYCL_SCALE_BLOCK_SIZE 256 +#define SYCL_CLAMP_BLOCK_SIZE 256 +#define SYCL_ROPE_BLOCK_SIZE 256 +#define SYCL_ALIBI_BLOCK_SIZE 32 +#define SYCL_DIAG_MASK_INF_BLOCK_SIZE 32 +#define SYCL_QUANTIZE_BLOCK_SIZE 256 +#define SYCL_DEQUANTIZE_BLOCK_SIZE 256 +#define SYCL_GET_ROWS_BLOCK_SIZE 256 +#define SYCL_UPSCALE_BLOCK_SIZE 256 +#define SYCL_CONCAT_BLOCK_SIZE 256 +#define SYCL_PAD_BLOCK_SIZE 256 +#define SYCL_ACC_BLOCK_SIZE 256 +#define SYCL_IM2COL_BLOCK_SIZE 256 +#define SYCL_POOL2D_BLOCK_SIZE 256 + +// dmmv = dequantize_mul_mat_vec +#ifndef GGML_SYCL_DMMV_X +#define GGML_SYCL_DMMV_X 32 +#endif +#ifndef GGML_SYCL_MMV_Y +#define GGML_SYCL_MMV_Y 1 +#endif + +#ifndef K_QUANTS_PER_ITERATION +#define K_QUANTS_PER_ITERATION 2 +#else +static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2"); +#endif + +#ifndef GGML_SYCL_PEER_MAX_BATCH_SIZE +#define GGML_SYCL_PEER_MAX_BATCH_SIZE 128 +#endif // GGML_SYCL_PEER_MAX_BATCH_SIZE + +#define MUL_MAT_SRC1_COL_STRIDE 128 + +#endif // GGML_SYCL_PRESETS_HPP 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, -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, -0xfb,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x47,0x01,0x00,0x00, -0x52,0x01,0x00,0x00,0x3a,0x02,0x00,0x00,0x83,0x02,0x00,0x00, -0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00, 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+0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, +}; +const uint64_t matmul_f32_f32_aligned_fp32_len = 10124; + +unsigned char matmul_f32_f32_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, 0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 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[] = { 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+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 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+0xf9,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xf5,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x8e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +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, -0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0xf5,0x00,0x00,0x00, 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, -0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00, 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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, 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+0x71,0x03,0x00,0x00,0x87,0x03,0x00,0x00,0x9a,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x2c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00, +0x2e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x17,0x03,0x00,0x00, +0xf8,0x00,0x02,0x00,0x17,0x03,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x73,0x03,0x00,0x00,0x85,0x03,0x00,0x00, +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, 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+0x7d,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x05,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00, +0xf9,0x00,0x02,0x00,0x6f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00, +0x6f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_id_q3_k_f32_fp32_len = 13496; +const uint64_t matmul_id_q3_k_f32_fp32_len = 13476; unsigned char 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, -0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x55,0x03,0x00,0x00, 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, -0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00, 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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, 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@@ -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, 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+0x38,0x00,0x01,0x00, }; -const uint64_t matmul_id_q5_k_f32_len = 13068; +const uint64_t matmul_id_q5_k_f32_len = 13048; unsigned char matmul_id_q5_k_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -68514,9 +72230,9 @@ 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, 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+0x60,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +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, 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+0x06,0x00,0x00,0x00,0x17,0x03,0x00,0x00,0x29,0x03,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb8,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0xb3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00, +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, 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+0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x22,0x03,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00, +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, 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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, +0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00, 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00, @@ -76944,442 +80654,440 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = { 0x55,0x00,0x00,0x00,0xdf,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, 0xe3,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 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+0xf8,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xcf,0x02,0x00,0x00, +0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +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, -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,0x00,0x00,0x00,0x06,0x03,0x00,0x00, 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, +0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00, +0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00, 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+0xb0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00, +0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00, +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, 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+0xed,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x82,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x82,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +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, 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+0x6f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x06,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q3_k_f32_len = 13144; +const uint64_t matmul_q3_k_f32_len = 13124; unsigned char 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, 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-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, +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, 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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, 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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, 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+0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0xf9,0x00,0x02,0x00, +0xf1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf1,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00, +0x52,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xee,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00, +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, 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+0x4b,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0xe2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +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, 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-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, +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, 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+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xab,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00, +0x0c,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +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, -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,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xeb,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, -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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+0x38,0x00,0x01,0x00, }; -const uint64_t matmul_q8_0_f32_len = 10608; +const uint64_t matmul_q8_0_f32_len = 10588; unsigned char matmul_q8_0_f32_aligned_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -115295,9 +118985,9 @@ unsigned char matmul_q8_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, @@ -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, 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unsigned char mul_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -116404,40 +120092,40 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = { 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,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x69,0x00,0x00,0x00, +0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x69,0x00,0x00,0x00, 0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00, 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+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x8a,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00, 0x8b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -116604,47 +120292,47 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = { 0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, -0x9c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00, +0x9c,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x89,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x95,0x00,0x00,0x00, -0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x27,0x00,0x00,0x00, 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0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, 0x7e,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, -0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00, +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, 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0x08,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00, @@ -116887,8 +120575,8 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0x84,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x6a,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x85,0x00,0x00,0x00, -0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x8a,0x00,0x00,0x00, -0x22,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, +0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x8a,0x00,0x00,0x00, +0x3a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00, 0x8b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, @@ -116906,44 +120594,44 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = { 0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00, 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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, 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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, -0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00, -0x59,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00, -0x55,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, +0x1f,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, @@ -117304,40 +120992,40 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = { 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, -0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x54,0x00,0x00,0x00, +0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x66,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0xb5,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x10,0x00,0x06,0x00, 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, -0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 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+121170,8 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = { 0xf8,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, 0x06,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x67,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xcf,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, @@ -117501,42 +121189,42 @@ unsigned char mul_mat_vec_f32_f32_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, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00, -0x99,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00, 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0x01,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6d,0x00,0x00,0x00, @@ -118063,8 +121751,8 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = { 0x70,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x13,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 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, 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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, 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-119996,7 +123684,7 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = { 0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xc2,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x3a,0x01,0x00,0x00, -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, 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+123905,8 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = { 0x8f,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, 0x48,0x01,0x00,0x00,0x75,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xde,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x41,0x00,0x05,0x00, -0x2f,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x62,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x61,0x00,0x00,0x00, +0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x96,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x96,0x00,0x00,0x00, 0x86,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x98,0x00,0x00,0x00, @@ -120245,55 +123933,55 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = { 0xb6,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xa8,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00, 0xb6,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x41,0x00,0x07,0x00, -0x4f,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x4b,0x00,0x00,0x00, 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0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00, @@ -120317,17 +124005,17 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = { 0x06,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x49,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00, 0xf2,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xf3,0x00,0x00,0x00, -0xf2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00, +0xf2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0xf5,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, 0xf3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00, 0xf6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xe0,0x00,0x04,0x00, 0x9d,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0xdf,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xe5,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xf9,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x57,0x00,0x00,0x00, +0xf9,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x2e,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xe4,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x98,0x00,0x00,0x00, 0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x75,0x00,0x00,0x00, @@ -120337,17 +124025,17 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00, 0x21,0x01,0x00,0x00,0x77,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0x8c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x89,0x00,0x00,0x00, -0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x41,0x00,0x06,0x00, 0xc9,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x01,0x01,0x00,0x00, -0x24,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, +0x22,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t mul_mat_vec_id_q4_1_f32_len = 3920; -unsigned char 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, -0x2d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00, +0x80,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x9c,0x00,0x00,0x00, 0xa0,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00, 0x27,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, 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,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00, 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+125194,30 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = { 0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xa2,0x00,0x00,0x00, 0x8e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xb3,0x00,0x00,0x00, 0x18,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,0x17,0x01,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00, -0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00, +0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x1b,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00, 0x19,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00, 0x1c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x13,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x13,0x01,0x00,0x00,0xe0,0x00,0x04,0x00, -0x45,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x05,0x01,0x00,0x00, +0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x05,0x01,0x00,0x00, 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-0x88,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0x88,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0x09,0x01,0x00,0x00,0x04,0x01,0x00,0x00, 0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x01,0x00,0x00, @@ -121864,37 +125552,37 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = { 0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x9c,0x00,0x00,0x00, 0x88,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xad,0x00,0x00,0x00, 0x13,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x12,0x01,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x14,0x01,0x00,0x00, -0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x14,0x01,0x00,0x00, +0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x16,0x01,0x00,0x00,0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00, 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-122952,9 +126640,9 @@ unsigned char mul_mat_vec_id_q5_K_f32_data[] = { 0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x04,0x00,0x00, 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const 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, 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,0x00,0x00,0x00,0x6c,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00, +0x4e,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x6c,0x00,0x00,0x00, 0x71,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0xba,0x00,0x00,0x00, 0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, 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,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00, 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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, 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0xe5,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00, -0x0e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, +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, 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+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, 0xe4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0x97,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 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, 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-0x43,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0x46,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00, +0x43,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00, +0x46,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x81,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00, 0x46,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x48,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x47,0x01,0x00,0x00, @@ -128691,8 +132379,8 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = { 0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x00,0x00,0x00, 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00, 0x87,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xf1,0x00,0x00,0x00, -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, 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0xf1,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00, @@ -128794,10 +132482,10 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00, 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, 0x3e,0x00,0x03,0x00,0x1b,0x01,0x00,0x00,0x19,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0x10,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x10,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, @@ -128834,46 +132522,46 @@ unsigned char mul_mat_vec_q4_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,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,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,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x13,0x01,0x00,0x00, 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0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd1,0x00,0x00,0x00, 0xdd,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xed,0x00,0x00,0x00, +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, 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-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, -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, @@ -131106,101 +134794,101 @@ unsigned char mul_mat_vec_q5_0_f16_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, 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+134900,30 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = { 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00, 0xb4,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x41,0x00,0x05,0x00, 0xc5,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xc2,0x00,0x00,0x00, -0x2a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00, +0x2a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00, 0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xc6,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x2f,0x01,0x00,0x00, +0x08,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xc6,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x2f,0x01,0x00,0x00, 0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0xc6,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0x26,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x26,0x01,0x00,0x00, -0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,0x55,0x00,0x00,0x00, +0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, 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-0x67,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00, -0x6a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00, +0x67,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00, +0x6a,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00, 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, 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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, 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-0xae,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0xae,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,0x17,0x01,0x00,0x00, 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, 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0x68,0x01,0x00,0x00,0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0xc0,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0xbd,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, 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[] = { 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,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00, +0x4e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00, 0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x0a,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, 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0xd3,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x96,0x00,0x00,0x00, -0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe4,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x96,0x00,0x00,0x00, +0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00, 0xe3,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, 0x96,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x5e,0x01,0x00,0x00, @@ -136819,9 +140507,9 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = { 0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00, 0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, 0x92,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x0e,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, -0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00, +0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00, 0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfc,0x00,0x00,0x00, 0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xff,0x00,0x00,0x00, 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, -0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00, +0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00, 0x0e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x10,0x01,0x00,0x00, -0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x5c,0x00,0x00,0x00, +0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00, 0x0f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xfd,0x00,0x01,0x00, @@ -136858,45 +140546,45 @@ unsigned char mul_mat_vec_q8_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, 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-0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xd6,0x00,0x00,0x00, +0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00, 0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00, -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/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) diff --git a/llama.cpp b/llama.cpp index 8c022d5ac..84294fc5d 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>; @@ -3722,6 +3848,44 @@ 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) { @@ -3777,12 +3941,36 @@ 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))); + } } } } @@ -3790,6 +3978,18 @@ 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) { @@ -5194,7 +5394,7 @@ 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; @@ -6636,16 +6836,6 @@ static int llama_model_load(const std::string & fname, llama_model & model, llam } #endif -#ifdef GGML_USE_SYCL - if (params.split_mode == LLAMA_SPLIT_MODE_NONE) { - ggml_backend_sycl_set_single_device_mode(params.main_gpu); - //SYCL use device index (0, 1, 2) directly, uer input device id, then convert to device index. - params.main_gpu = ggml_backend_sycl_get_device_index(params.main_gpu); - } else { - ggml_backend_sycl_set_mul_device_mode(); - } -#endif - if (!llm_load_tensors( ml, model, params.n_gpu_layers, params.split_mode, params.main_gpu, params.tensor_split, params.use_mlock, params.progress_callback, params.progress_callback_user_data @@ -16105,6 +16295,11 @@ 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; @@ -16276,8 +16471,7 @@ struct llama_context * llama_new_context_with_model( if (model->split_mode == LLAMA_SPLIT_MODE_NONE || model->split_mode == LLAMA_SPLIT_MODE_ROW) { ggml_backend_t backend = ggml_backend_sycl_init(model->main_gpu); if (backend == nullptr) { - int main_gpu_id = ggml_backend_sycl_get_device_id(model->main_gpu); - LLAMA_LOG_ERROR("%s: failed to initialize SYCL%d (index %d) backend\n", __func__, main_gpu_id, model->main_gpu); + LLAMA_LOG_ERROR("%s: failed to initialize SYCL%d backend\n", __func__, model->main_gpu); llama_free(ctx); return nullptr; } 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)); 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