mirror of
https://github.com/jart/cosmopolitan.git
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8fdb31681a
llama.com can now load weights that use the new file format which was introduced a few weeks ago. Note that, unlike llama.cpp, we will keep support for old file formats in our tool so you don't need to convert your weights when the upstream project makes breaking changes. Please note that using ggjt v3 does make avx2 inference go 5% faster for me.
409 lines
16 KiB
C
409 lines
16 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/ggjt.v2.q5_1.h"
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#include "libc/assert.h"
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#include "libc/math.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/ggml/ggjt.v2.internal.h"
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#include "third_party/ggml/ggjt.v2.q8_1.h"
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// clang-format off
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static_assert(sizeof(block_v2_q5_1) == 2 * sizeof(ggml_fp16_t) + sizeof(uint32_t) + V2_QK5_1 / 2,
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"wrong q5_1 block size/padding");
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void dequantize_row_v2_q5_1(const void * restrict x_, float * restrict y, int k) {
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const block_v2_q5_1 * restrict x = x_;
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static const int qk = V2_QK5_1;
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assert(k % qk == 0);
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const int nb = k / qk;
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for (int i = 0; i < nb; i++) {
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const float d = GGML_FP16_TO_FP32(x[i].d);
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const float m = GGML_FP16_TO_FP32(x[i].m);
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uint32_t qh;
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memcpy(&qh, x[i].qh, sizeof(qh));
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for (int j = 0; j < qk/2; ++j) {
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const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
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const uint8_t xh_1 = ((qh >> (j + 12)) ) & 0x10;
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const int x0 = (x[i].qs[j] & 0x0F) | xh_0;
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const int x1 = (x[i].qs[j] >> 4) | xh_1;
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y[i*qk + j + 0 ] = x0*d + m;
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y[i*qk + j + qk/2] = x1*d + m;
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}
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}
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}
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void quantize_row_v2_q5_1(const float * restrict x, void * restrict y, int k) {
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quantize_row_v2_q5_1_reference(x, y, k);
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}
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size_t ggml_quantize_v2_q5_1(const float * src, void * dst, int n, int k, int64_t * hist) {
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assert(k % V2_QK5_1 == 0);
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const int nb = k / V2_QK5_1;
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for (int b = 0; b < n; b += k) {
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block_v2_q5_1 * restrict y = (block_v2_q5_1 *)dst + b/V2_QK5_1;
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quantize_row_v2_q5_1_reference(src + b, y, k);
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for (int i = 0; i < nb; i++) {
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uint32_t qh;
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memcpy(&qh, &y[i].qh, sizeof(qh));
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for (int j = 0; j < V2_QK5_1; j += 2) {
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const uint8_t vh0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4;
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const uint8_t vh1 = ((qh & (1u << (j + 16))) >> (j + 12));
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// cast to 16 bins
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const uint8_t vi0 = ((y[i].qs[j/2] & 0x0F) | vh0) / 2;
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const uint8_t vi1 = ((y[i].qs[j/2] >> 4) | vh1) / 2;
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hist[vi0]++;
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hist[vi1]++;
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}
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}
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}
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return (n/V2_QK5_1*sizeof(block_v2_q5_1));
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}
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void ggml_vec_dot_v2_q5_1_q8_1(const int n,
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float * restrict s,
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const void * restrict vx,
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const void * restrict vy) {
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const int qk = V2_QK8_1;
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const int nb = n / qk;
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assert(n % qk == 0);
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assert(nb % 2 == 0);
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assert(qk == V2_QK5_1);
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const block_v2_q5_1 * restrict x = vx;
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const block_v2_q8_1 * restrict y = vy;
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#if defined(__ARM_NEON)
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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float32x4_t sumv1 = vdupq_n_f32(0.0f);
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float summs0 = 0.0f;
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float summs1 = 0.0f;
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uint32_t qh0;
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uint32_t qh1;
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uint64_t tmp0[4];
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uint64_t tmp1[4];
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for (int i = 0; i < nb; i += 2) {
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const block_v2_q5_1 * restrict x0 = &x[i];
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const block_v2_q5_1 * restrict x1 = &x[i + 1];
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const block_v2_q8_1 * restrict y0 = &y[i];
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const block_v2_q8_1 * restrict y1 = &y[i + 1];
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const uint8x16_t m4b = vdupq_n_u8(0x0F);
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summs0 += GGML_FP16_TO_FP32(x0->m) * y0->s;
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summs1 += GGML_FP16_TO_FP32(x1->m) * y1->s;
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// extract the 5th bit via lookup table ((b) << 4)
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memcpy(&qh0, x0->qh, sizeof(qh0));
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memcpy(&qh1, x1->qh, sizeof(qh1));
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tmp0[0] = table_b2b_0[(qh0 >> 0) & 0xFF];
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tmp0[1] = table_b2b_0[(qh0 >> 8) & 0xFF];
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tmp0[2] = table_b2b_0[(qh0 >> 16) & 0xFF];
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tmp0[3] = table_b2b_0[(qh0 >> 24) ];
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tmp1[0] = table_b2b_0[(qh1 >> 0) & 0xFF];
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tmp1[1] = table_b2b_0[(qh1 >> 8) & 0xFF];
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tmp1[2] = table_b2b_0[(qh1 >> 16) & 0xFF];
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tmp1[3] = table_b2b_0[(qh1 >> 24) ];
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const int8x16_t qhl0 = vld1q_s8((const int8_t *)(tmp0 + 0));
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const int8x16_t qhh0 = vld1q_s8((const int8_t *)(tmp0 + 2));
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const int8x16_t qhl1 = vld1q_s8((const int8_t *)(tmp1 + 0));
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const int8x16_t qhh1 = vld1q_s8((const int8_t *)(tmp1 + 2));
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const uint8x16_t v0_0 = vld1q_u8(x0->qs);
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const uint8x16_t v0_1 = vld1q_u8(x1->qs);
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// 4-bit -> 8-bit
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const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
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const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
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const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
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const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
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// add high bit
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const int8x16_t v0_0lf = vorrq_s8(v0_0l, qhl0);
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const int8x16_t v0_0hf = vorrq_s8(v0_0h, qhh0);
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const int8x16_t v0_1lf = vorrq_s8(v0_1l, qhl1);
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const int8x16_t v0_1hf = vorrq_s8(v0_1h, qhh1);
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// load y
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const int8x16_t v1_0l = vld1q_s8(y0->qs);
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const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
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const int8x16_t v1_1l = vld1q_s8(y1->qs);
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const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
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const float x0d = GGML_FP16_TO_FP32(x0->d);
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const float x1d = GGML_FP16_TO_FP32(x1->d);
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#if defined(__ARM_FEATURE_DOTPROD)
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sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(
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vdotq_s32(vdupq_n_s32(0), v0_0lf, v1_0l),
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vdotq_s32(vdupq_n_s32(0), v0_0hf, v1_0h))), x0d*y0->d);
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sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(
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vdotq_s32(vdupq_n_s32(0), v0_1lf, v1_1l),
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vdotq_s32(vdupq_n_s32(0), v0_1hf, v1_1h))), x1d*y1->d);
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#else
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const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0lf), vget_low_s8 (v1_0l));
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const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0lf), vget_high_s8(v1_0l));
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const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hf), vget_low_s8 (v1_0h));
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const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hf), vget_high_s8(v1_0h));
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const int16x8_t pl1l = vmull_s8(vget_low_s8 (v0_1lf), vget_low_s8 (v1_1l));
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const int16x8_t pl1h = vmull_s8(vget_high_s8(v0_1lf), vget_high_s8(v1_1l));
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const int16x8_t ph1l = vmull_s8(vget_low_s8 (v0_1hf), vget_low_s8 (v1_1h));
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const int16x8_t ph1h = vmull_s8(vget_high_s8(v0_1hf), vget_high_s8(v1_1h));
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const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h));
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const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h));
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const int32x4_t pl1 = vaddq_s32(vpaddlq_s16(pl1l), vpaddlq_s16(pl1h));
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const int32x4_t ph1 = vaddq_s32(vpaddlq_s16(ph1l), vpaddlq_s16(ph1h));
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sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), x0d*y0->d);
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sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(pl1, ph1)), x1d*y1->d);
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#endif
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}
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*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1) + summs0 + summs1;
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#elif defined(__wasm_simd128__)
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v128_t sumv = wasm_f32x4_splat(0.0f);
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float summs = 0.0f;
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uint32_t qh;
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uint64_t tmp[4];
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// TODO: check if unrolling this is better
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for (int i = 0; i < nb; ++i) {
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const block_v2_q5_1 * restrict x0 = &x[i];
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const block_v2_q8_1 * restrict y0 = &y[i];
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summs += GGML_FP16_TO_FP32(x0->m) * y0->s;
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const v128_t m4b = wasm_i8x16_splat(0x0F);
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// extract the 5th bit
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memcpy(&qh, x0->qh, sizeof(qh));
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tmp[0] = table_b2b_0[(qh >> 0) & 0xFF];
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tmp[1] = table_b2b_0[(qh >> 8) & 0xFF];
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tmp[2] = table_b2b_0[(qh >> 16) & 0xFF];
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tmp[3] = table_b2b_0[(qh >> 24) ];
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const v128_t qhl = wasm_v128_load(tmp + 0);
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const v128_t qhh = wasm_v128_load(tmp + 2);
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const v128_t v0 = wasm_v128_load(x0->qs);
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// 4-bit -> 8-bit
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const v128_t v0l = wasm_v128_and (v0, m4b);
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const v128_t v0h = wasm_u8x16_shr(v0, 4);
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static bool x = true;
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// add high bit
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const v128_t v0lf = wasm_v128_or(v0l, qhl);
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const v128_t v0hf = wasm_v128_or(v0h, qhh);
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// load y
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const v128_t v1l = wasm_v128_load(y0->qs);
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const v128_t v1h = wasm_v128_load(y0->qs + 16);
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// int8x16 -> int16x8
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const v128_t v0lfl = wasm_i16x8_extend_low_i8x16 (v0lf);
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const v128_t v0lfh = wasm_i16x8_extend_high_i8x16(v0lf);
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const v128_t v0hfl = wasm_i16x8_extend_low_i8x16 (v0hf);
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const v128_t v0hfh = wasm_i16x8_extend_high_i8x16(v0hf);
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const v128_t v1ll = wasm_i16x8_extend_low_i8x16 (v1l);
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const v128_t v1lh = wasm_i16x8_extend_high_i8x16(v1l);
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const v128_t v1hl = wasm_i16x8_extend_low_i8x16 (v1h);
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const v128_t v1hh = wasm_i16x8_extend_high_i8x16(v1h);
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const float x0d = GGML_FP16_TO_FP32(x0->d);
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// dot product
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sumv = wasm_f32x4_add(sumv, wasm_f32x4_mul(wasm_f32x4_convert_i32x4(
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wasm_i32x4_add(
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wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0lfl, v1ll),
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wasm_i32x4_dot_i16x8(v0lfh, v1lh)),
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wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0hfl, v1hl),
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wasm_i32x4_dot_i16x8(v0hfh, v1hh)))), wasm_f32x4_splat(x0d*y0->d)));
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}
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*s = wasm_f32x4_extract_lane(sumv, 0) + wasm_f32x4_extract_lane(sumv, 1) +
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wasm_f32x4_extract_lane(sumv, 2) + wasm_f32x4_extract_lane(sumv, 3) + summs;
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#elif defined(__AVX2__)
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// Initialize accumulator with zeros
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__m256 acc = _mm256_setzero_ps();
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float summs = 0.0f;
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// Main loop
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for (int i = 0; i < nb; i++) {
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const __m256 dx = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d));
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summs += GGML_FP16_TO_FP32(x[i].m) * y[i].s;
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__m256i bx = bytes_from_nibbles_32(x[i].qs);
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__m256i bxhi = bytes_from_bits_32(x[i].qh);
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bxhi = _mm256_and_si256(bxhi, _mm256_set1_epi8(0x10));
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bx = _mm256_or_si256(bx, bxhi);
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const __m256 dy = _mm256_broadcast_ss(&y[i].d);
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const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs);
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const __m256 q = mul_sum_us8_pairs_float(bx, by);
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acc = _mm256_fmadd_ps(q, _mm256_mul_ps(dx, dy), acc);
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}
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*s = hsum_float_8(acc) + summs;
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#elif defined(__AVX__)
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// Initialize accumulator with zeros
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__m256 acc = _mm256_setzero_ps();
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__m128i mask = _mm_set1_epi8(0x10);
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float summs = 0.0f;
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// Main loop
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for (int i = 0; i < nb; i++) {
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const __m256 dx = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d));
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summs += GGML_FP16_TO_FP32(x[i].m) * y[i].s;
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__m256i bx = bytes_from_nibbles_32(x[i].qs);
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const __m256i bxhi = bytes_from_bits_32(x[i].qh);
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__m128i bxhil = _mm256_castsi256_si128(bxhi);
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__m128i bxhih = _mm256_extractf128_si256(bxhi, 1);
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bxhil = _mm_and_si128(bxhil, mask);
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bxhih = _mm_and_si128(bxhih, mask);
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__m128i bxl = _mm256_castsi256_si128(bx);
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__m128i bxh = _mm256_extractf128_si256(bx, 1);
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bxl = _mm_or_si128(bxl, bxhil);
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bxh = _mm_or_si128(bxh, bxhih);
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bx = _mm256_set_m128i(bxh, bxl);
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const __m256 dy = _mm256_broadcast_ss(&y[i].d);
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const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs);
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const __m256 q = mul_sum_us8_pairs_float(bx, by);
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acc = _mm256_add_ps(_mm256_mul_ps(q, _mm256_mul_ps(dx, dy)), acc);
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}
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*s = hsum_float_8(acc) + summs;
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#else
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// scalar
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float sumf = 0.0;
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for (int i = 0; i < nb; i++) {
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uint32_t qh;
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memcpy(&qh, x[i].qh, sizeof(qh));
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int sumi = 0;
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for (int j = 0; j < qk/2; ++j) {
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const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
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const uint8_t xh_1 = ((qh >> (j + 12)) ) & 0x10;
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const int32_t x0 = (x[i].qs[j] & 0xF) | xh_0;
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const int32_t x1 = (x[i].qs[j] >> 4) | xh_1;
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sumi += (x0 * y[i].qs[j]) + (x1 * y[i].qs[j + qk/2]);
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}
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sumf += (GGML_FP16_TO_FP32(x[i].d)*y[i].d)*sumi + GGML_FP16_TO_FP32(x[i].m)*y[i].s;
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}
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*s = sumf;
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#endif
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}
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void quantize_row_v2_q5_1_reference(const float * restrict x, block_v2_q5_1 * restrict y, int k) {
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const int qk = V2_QK5_1;
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assert(k % qk == 0);
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const int nb = k / qk;
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for (int i = 0; i < nb; i++) {
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float min = FLT_MAX;
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float max = -FLT_MAX;
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|
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for (int j = 0; j < qk; j++) {
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const float v = x[i*qk + j];
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if (v < min) min = v;
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if (v > max) max = v;
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}
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const float d = (max - min) / ((1 << 5) - 1);
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const float id = d ? 1.0f/d : 0.0f;
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|
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y[i].d = GGML_FP32_TO_FP16(d);
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y[i].m = GGML_FP32_TO_FP16(min);
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|
|
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uint32_t qh = 0;
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|
|
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for (int j = 0; j < qk/2; ++j) {
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const float x0 = (x[i*qk + 0 + j] - min)*id;
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const float x1 = (x[i*qk + qk/2 + j] - min)*id;
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|
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const uint8_t xi0 = (uint8_t)(x0 + 0.5f);
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const uint8_t xi1 = (uint8_t)(x1 + 0.5f);
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|
|
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y[i].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
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// get the 5-th bit and store it in qh at the right position
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qh |= ((xi0 & 0x10) >> 4) << (j + 0);
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qh |= ((xi1 & 0x10) >> 4) << (j + qk/2);
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}
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|
|
|
memcpy(&y[i].qh, &qh, sizeof(y[i].qh));
|
|
}
|
|
}
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