mirror of
https://github.com/jart/cosmopolitan.git
synced 2025-02-12 09:17:53 +00:00
5a4cf9560f
This change makes quantized models (e.g. q4_0) go 10% faster on Macs however doesn't offer much improvement for Intel PC hardware. This change syncs llama.cpp 699b1ad7fe6f7b9e41d3cb41e61a8cc3ea5fc6b5 which recently made a breaking change to nearly all its file formats without any migration. Since that'll break hundreds upon hundreds of models on websites like HuggingFace llama.com will support both file formats because llama.com will never ever break the GGJT file format
125 lines
5.5 KiB
C
125 lines
5.5 KiB
C
/*-*- mode:c;indent-tabs-mode:nil;c-basic-offset:4;tab-width:8;coding:utf-8 -*-│
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│vi: set net ft=c ts=4 sts=4 sw=4 fenc=utf-8 :vi│
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╚──────────────────────────────────────────────────────────────────────────────╝
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│ │
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│ GGML │
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│ Copyright (c) 2023 Georgi Gerganov │
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│ │
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│ Permission is hereby granted, free of charge, to any person obtaining │
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│ a copy of this software and associated documentation files (the │
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│ "Software"), to deal in the Software without restriction, including │
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│ without limitation the rights to use, copy, modify, merge, publish, │
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│ distribute, sublicense, and/or sell copies of the Software, and to │
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│ permit persons to whom the Software is furnished to do so, subject to │
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│ the following conditions: │
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│ │
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│ The above copyright notice and this permission notice shall be │
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│ included in all copies or substantial portions of the Software. │
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│ │
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│ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, │
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│ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF │
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│ MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. │
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│ IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY │
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│ CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, │
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│ TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE │
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│ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. │
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│ │
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╚─────────────────────────────────────────────────────────────────────────────*/
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#include "third_party/ggml/fp16.h"
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#include "libc/str/str.h"
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#include "third_party/ggml/fp16.internal.h"
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#include "third_party/libcxx/math.h"
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asm(".ident\t\"\\n\\n\
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GGML (MIT License)\\n\
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Copyright (c) 2023 Georgi Gerganov\"");
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asm(".include \"libc/disclaimer.inc\"");
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// clang-format off
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#if defined(__ARM_NEON) || defined(__wasm_simd128__)
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#define B1(c,s,n) 0x ## n ## c , 0x ## n ## s
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#define B2(c,s,n) B1(c,s,n ## c), B1(c,s,n ## s)
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#define B3(c,s,n) B2(c,s,n ## c), B2(c,s,n ## s)
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#define B4(c,s,n) B3(c,s,n ## c), B3(c,s,n ## s)
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#define B5(c,s,n) B4(c,s,n ## c), B4(c,s,n ## s)
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#define B6(c,s,n) B5(c,s,n ## c), B5(c,s,n ## s)
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#define B7(c,s,n) B6(c,s,n ## c), B6(c,s,n ## s)
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#define B8(c,s ) B7(c,s, c), B7(c,s, s)
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// precomputed tables for expanding 8bits to 8 bytes (shl 4)
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const uint64_t table_b2b_u[1 << 8] = { B8(00, 10) };
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#endif
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//
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// global data
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//
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// precomputed gelu table for f16 (128 KB)
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ggml_fp16_t table_gelu_f16[1 << 16];
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// precomputed silu table for f16 (128 KB)
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ggml_fp16_t table_silu_f16[1 << 16];
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// precomputed exp table for f16 (128 KB)
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ggml_fp16_t table_exp_f16[1 << 16];
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// precomputed f32 table for f16 (256 KB)
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float table_f32_f16[1 << 16];
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// note: do not use these inside ggml.c
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// these are meant to be used via the ggml.h API
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float ggml_fp16_to_fp32(ggml_fp16_t x) {
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return (float) GGML_FP16_TO_FP32(x);
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}
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ggml_fp16_t ggml_fp32_to_fp16(float x) {
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return GGML_FP32_TO_FP16(x);
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}
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void ggml_fp16_to_fp32_row(const ggml_fp16_t * x, float * y, size_t n) {
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for (size_t i = 0; i < n; i++) {
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y[i] = GGML_FP16_TO_FP32(x[i]);
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}
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}
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void ggml_fp32_to_fp16_row(const float * x, ggml_fp16_t * y, size_t n) {
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size_t i = 0;
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#if defined(__F16C__)
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for (; i + 7 < n; i += 8) {
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__m256 x_vec = _mm256_loadu_ps(x + i);
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__m128i y_vec = _mm256_cvtps_ph(x_vec, _MM_FROUND_TO_NEAREST_INT);
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_mm_storeu_si128((__m128i *)(y + i), y_vec);
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}
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for(; i + 3 < n; i += 4) {
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__m128 x_vec = _mm_loadu_ps(x + i);
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__m128i y_vec = _mm_cvtps_ph(x_vec, _MM_FROUND_TO_NEAREST_INT);
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_mm_storel_epi64((__m128i *)(y + i), y_vec);
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}
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#endif
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for (; i < n; i++) {
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y[i] = GGML_FP32_TO_FP16(x[i]);
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}
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}
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static const float GELU_COEF_A = 0.044715f;
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static const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
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inline static float ggml_gelu_f32(float x) {
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return 0.5f*x*(1.0f + tanhf(SQRT_2_OVER_PI*x*(1.0f + GELU_COEF_A*x*x)));
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}
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// Sigmoid Linear Unit (SiLU) function
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inline static float ggml_silu_f32(float x) {
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return x/(1.0f + expf(-x));
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}
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void ggml_fp16_init(void) {
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ggml_fp16_t ii;
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for (int i = 0; i < (1 << 16); ++i) {
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uint16_t ui = i;
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memcpy(&ii, &ui, sizeof(ii));
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const float f = table_f32_f16[i] = GGML_COMPUTE_FP16_TO_FP32(ii);
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table_gelu_f16[i] = GGML_FP32_TO_FP16(ggml_gelu_f32(f));
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table_silu_f16[i] = GGML_FP32_TO_FP16(ggml_silu_f32(f));
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table_exp_f16[i] = GGML_FP32_TO_FP16(expf(f));
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}
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}
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