mirror of
https://github.com/jart/cosmopolitan.git
synced 2025-01-31 11:37:35 +00:00
352 lines
13 KiB
C
352 lines
13 KiB
C
/*-*- mode:c;indent-tabs-mode:nil;c-basic-offset:2;tab-width:8;coding:utf-8 -*-│
|
|
│vi: set net ft=c ts=2 sts=2 sw=2 fenc=utf-8 :vi│
|
|
╞══════════════════════════════════════════════════════════════════════════════╡
|
|
│ Copyright 2023 Justine Alexandra Roberts Tunney │
|
|
│ │
|
|
│ Permission to use, copy, modify, and/or distribute this software for │
|
|
│ any purpose with or without fee is hereby granted, provided that the │
|
|
│ above copyright notice and this permission notice appear in all copies. │
|
|
│ │
|
|
│ THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL │
|
|
│ WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED │
|
|
│ WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE │
|
|
│ AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL │
|
|
│ DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR │
|
|
│ PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER │
|
|
│ TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR │
|
|
│ PERFORMANCE OF THIS SOFTWARE. │
|
|
╚─────────────────────────────────────────────────────────────────────────────*/
|
|
#include "third_party/ggml/ggjt.v1.q5_1.h"
|
|
#include "libc/assert.h"
|
|
#include "libc/math.h"
|
|
#include "libc/str/str.h"
|
|
#include "third_party/aarch64/arm_neon.internal.h"
|
|
#include "third_party/ggml/fp16.internal.h"
|
|
#include "third_party/ggml/ggjt.v1.internal.h"
|
|
#include "third_party/ggml/ggjt.v1.q8_1.h"
|
|
// clang-format off
|
|
|
|
static_assert(sizeof(block_v1_q5_1) ==
|
|
2 * sizeof(ggml_fp16_t) + sizeof(uint32_t) + V1_QK5_1 / 2,
|
|
"wrong q5_1 block size/padding");
|
|
|
|
void quantize_row_v1_q5_1_reference(const float * restrict x, block_v1_q5_1 * restrict y, int k) {
|
|
assert(k % V1_QK5_1 == 0);
|
|
const int nb = k / V1_QK5_1;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float min = FLT_MAX;
|
|
float max = -FLT_MAX;
|
|
|
|
for (int l = 0; l < V1_QK5_1; l++) {
|
|
const float v = x[i*V1_QK5_1 + l];
|
|
if (v < min) min = v;
|
|
if (v > max) max = v;
|
|
}
|
|
|
|
const float d = (max - min) / ((1 << 5) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
y[i].m = GGML_FP32_TO_FP16(min);
|
|
|
|
uint32_t qh = 0;
|
|
|
|
for (int l = 0; l < V1_QK5_1; l += 2) {
|
|
const float v0 = (x[i*V1_QK5_1 + l + 0] - min)*id;
|
|
const float v1 = (x[i*V1_QK5_1 + l + 1] - min)*id;
|
|
|
|
const uint32_t vi0 = (int) (v0 + 0.5f);
|
|
const uint32_t vi1 = (int) (v1 + 0.5f);
|
|
|
|
y[i].qs[l/2] = (vi0 & 0x0F) | ((vi1 & 0x0F) << 4);
|
|
|
|
// get the 5-th bit and store it in qh at the right position
|
|
qh |= ((vi0 & 0x10) >> 4) << (l + 0);
|
|
qh |= ((vi1 & 0x10) >> 4) << (l + 1);
|
|
}
|
|
|
|
memcpy(&y[i].qh, &qh, sizeof(y[i].qh));
|
|
}
|
|
}
|
|
|
|
void quantize_row_v1_q5_1(const float * restrict x, void * restrict vy, int k) {
|
|
assert(k % V1_QK5_1 == 0);
|
|
|
|
block_v1_q5_1 * restrict y = vy;
|
|
|
|
quantize_row_v1_q5_1_reference(x, y, k);
|
|
}
|
|
|
|
size_t ggml_quantize_v1_q5_1(const float * src, void * dst, int n, int k, int64_t * hist) {
|
|
assert(k % V1_QK5_1 == 0);
|
|
const int nb = k / V1_QK5_1;
|
|
|
|
for (int j = 0; j < n; j += k) {
|
|
block_v1_q5_1 * restrict y = (block_v1_q5_1 *)dst + j/V1_QK5_1;
|
|
|
|
quantize_row_v1_q5_1_reference(src + j, y, k);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
uint32_t qh;
|
|
memcpy(&qh, &y[i].qh, sizeof(qh));
|
|
|
|
for (int l = 0; l < V1_QK5_1; l += 2) {
|
|
const uint8_t vh0 = ((qh & (1u << (l + 0))) >> (l + 0)) << 4;
|
|
const uint8_t vh1 = ((qh & (1u << (l + 1))) >> (l + 1)) << 4;
|
|
|
|
// cast to 16 bins
|
|
const uint8_t vi0 = ((y[i].qs[l/2] & 0x0F) | vh0) / 2;
|
|
const uint8_t vi1 = ((y[i].qs[l/2] >> 4) | vh1) / 2;
|
|
|
|
hist[vi0]++;
|
|
hist[vi1]++;
|
|
}
|
|
}
|
|
}
|
|
|
|
return (n/V1_QK5_1*sizeof(block_v1_q5_1));
|
|
}
|
|
|
|
void dequantize_row_v1_q5_1(const void * restrict vx, float * restrict y, int k) {
|
|
assert(k % V1_QK5_1 == 0);
|
|
const int nb = k / V1_QK5_1;
|
|
|
|
const block_v1_q5_1 * restrict x = vx;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float m = GGML_FP16_TO_FP32(x[i].m);
|
|
|
|
const uint8_t * restrict pp = x[i].qs;
|
|
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
for (int l = 0; l < V1_QK5_1; l += 2) {
|
|
const uint8_t vi = pp[l/2];
|
|
|
|
// extract the 5-th bit from qh
|
|
const uint8_t vh0 = ((qh & (1u << (l + 0))) >> (l + 0)) << 4;
|
|
const uint8_t vh1 = ((qh & (1u << (l + 1))) >> (l + 1)) << 4;
|
|
|
|
const uint8_t vi0 = (vi & 0x0F) | vh0;
|
|
const uint8_t vi1 = (vi >> 4) | vh1;
|
|
|
|
const float v0 = vi0*d + m;
|
|
const float v1 = vi1*d + m;
|
|
|
|
y[i*V1_QK5_1 + l + 0] = v0;
|
|
y[i*V1_QK5_1 + l + 1] = v1;
|
|
|
|
assert(!isnan(y[i*V1_QK5_1 + l + 0]));
|
|
assert(!isnan(y[i*V1_QK5_1 + l + 1]));
|
|
}
|
|
}
|
|
}
|
|
|
|
void ggml_vec_dot_v1_q5_1_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
|
const int nb = n / V1_QK8_1;
|
|
|
|
assert(n % V1_QK8_1 == 0);
|
|
assert(nb % 2 == 0);
|
|
assert(V1_QK8_1 == V1_QK5_1);
|
|
|
|
const block_v1_q5_1 * restrict x = vx;
|
|
const block_v1_q8_1 * restrict y = vy;
|
|
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv = vdupq_n_f32(0.0f);
|
|
|
|
float summs = 0.0f;
|
|
|
|
uint64_t tmp[4];
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
const block_v1_q5_1 * restrict x0 = &x[i];
|
|
const block_v1_q8_1 * restrict y0 = &y[i];
|
|
|
|
summs += GGML_FP16_TO_FP32(x0->m) * (y0->s0 + y0->s1);
|
|
|
|
// extract the 5th bit
|
|
uint32_t qh;
|
|
memcpy(&qh, x0->qh, sizeof(qh));
|
|
|
|
tmp[0] = table_b2b_0[(qh >> 0) & 0xFF];
|
|
tmp[1] = table_b2b_0[(qh >> 8) & 0xFF];
|
|
tmp[2] = table_b2b_0[(qh >> 16) & 0xFF];
|
|
tmp[3] = table_b2b_0[(qh >> 24) ];
|
|
|
|
const int8x16_t qhl = vld1q_s8((const int8_t *)(tmp + 0));
|
|
const int8x16_t qhh = vld1q_s8((const int8_t *)(tmp + 2));
|
|
|
|
const uint8x16_t v0 = vld1q_u8(x0->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t v0l = vreinterpretq_s8_u8(vandq_u8 (v0, vdupq_n_u8(0x0F)));
|
|
const int8x16_t v0h = vreinterpretq_s8_u8(vshrq_n_u8(v0, 4));
|
|
|
|
// interleave
|
|
const int8x16_t v0lz = vzip1q_s8(v0l, v0h);
|
|
const int8x16_t v0hz = vzip2q_s8(v0l, v0h);
|
|
|
|
// add
|
|
const int8x16_t v0lf = vorrq_s8(v0lz, qhl);
|
|
const int8x16_t v0hf = vorrq_s8(v0hz, qhh);
|
|
|
|
// load y
|
|
const int8x16_t v1l = vld1q_s8(y0->qs);
|
|
const int8x16_t v1h = vld1q_s8(y0->qs + 16);
|
|
|
|
const float x0d = GGML_FP16_TO_FP32(x0->d);
|
|
|
|
#if defined(__ARM_FEATURE_DOTPROD)
|
|
sumv = vmlaq_n_f32(sumv, vcvtq_f32_s32(vaddq_s32(
|
|
vdotq_s32(vdupq_n_s32(0), v0lf, v1l),
|
|
vdotq_s32(vdupq_n_s32(0), v0hf, v1h))), x0d*y0->d);
|
|
#else
|
|
const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0lf), vget_low_s8 (v1l));
|
|
const int16x8_t pl0h = vmull_s8(vget_high_s8(v0lf), vget_high_s8(v1l));
|
|
const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0hf), vget_low_s8 (v1h));
|
|
const int16x8_t ph0h = vmull_s8(vget_high_s8(v0hf), vget_high_s8(v1h));
|
|
|
|
const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h));
|
|
const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h));
|
|
|
|
sumv = vmlaq_n_f32(sumv, vcvtq_f32_s32(vaddq_s32(pl0, ph0)), x0d*y0->d);
|
|
#endif
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv) + summs;
|
|
#elif defined(__wasm_simd128__)
|
|
v128_t sumv = wasm_f32x4_splat(0.0f);
|
|
|
|
float summs = 0.0f;
|
|
|
|
uint64_t tmp[4];
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
const block_v1_q5_1 * restrict x0 = &x[i];
|
|
const block_v1_q8_1 * restrict y0 = &y[i];
|
|
|
|
summs += GGML_FP16_TO_FP32(x0->m) * (y0->s0 + y0->s1);
|
|
|
|
const v128_t m4b = wasm_i8x16_splat(0x0F);
|
|
|
|
// extract the 5th bit
|
|
uint32_t qh;
|
|
memcpy(&qh, x0->qh, sizeof(qh));
|
|
|
|
tmp[0] = table_b2b_0[(qh >> 0) & 0xFF];
|
|
tmp[1] = table_b2b_0[(qh >> 8) & 0xFF];
|
|
tmp[2] = table_b2b_0[(qh >> 16) & 0xFF];
|
|
tmp[3] = table_b2b_0[(qh >> 24) ];
|
|
|
|
const v128_t qhl = wasm_v128_load(tmp + 0);
|
|
const v128_t qhh = wasm_v128_load(tmp + 2);
|
|
|
|
const v128_t v0 = wasm_v128_load(x0->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const v128_t v0l = wasm_v128_and (v0, m4b);
|
|
const v128_t v0h = wasm_u8x16_shr(v0, 4);
|
|
|
|
static bool x = true;
|
|
|
|
// interleave
|
|
const v128_t v0lz = wasm_v8x16_shuffle(v0l, v0h, 0, 16, 1, 17, 2, 18, 3, 19, 4, 20, 5, 21, 6, 22, 7, 23);
|
|
const v128_t v0hz = wasm_v8x16_shuffle(v0l, v0h, 8, 24, 9, 25, 10, 26, 11, 27, 12, 28, 13, 29, 14, 30, 15, 31);
|
|
|
|
// add high bit
|
|
const v128_t v0lf = wasm_v128_or(v0lz, qhl);
|
|
const v128_t v0hf = wasm_v128_or(v0hz, qhh);
|
|
|
|
// load y
|
|
const v128_t v1l = wasm_v128_load(y0->qs);
|
|
const v128_t v1h = wasm_v128_load(y0->qs + 16);
|
|
|
|
// int8x16 -> int16x8
|
|
const v128_t v0lfl = wasm_i16x8_extend_low_i8x16 (v0lf);
|
|
const v128_t v0lfh = wasm_i16x8_extend_high_i8x16(v0lf);
|
|
const v128_t v0hfl = wasm_i16x8_extend_low_i8x16 (v0hf);
|
|
const v128_t v0hfh = wasm_i16x8_extend_high_i8x16(v0hf);
|
|
|
|
const v128_t v1ll = wasm_i16x8_extend_low_i8x16 (v1l);
|
|
const v128_t v1lh = wasm_i16x8_extend_high_i8x16(v1l);
|
|
const v128_t v1hl = wasm_i16x8_extend_low_i8x16 (v1h);
|
|
const v128_t v1hh = wasm_i16x8_extend_high_i8x16(v1h);
|
|
|
|
const float x0d = GGML_FP16_TO_FP32(x0->d);
|
|
|
|
// dot product
|
|
sumv = wasm_f32x4_add(sumv, wasm_f32x4_mul(wasm_f32x4_convert_i32x4(
|
|
wasm_i32x4_add(
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0lfl, v1ll),
|
|
wasm_i32x4_dot_i16x8(v0lfh, v1lh)),
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0hfl, v1hl),
|
|
wasm_i32x4_dot_i16x8(v0hfh, v1hh)))), wasm_f32x4_splat(x0d*y0->d)));
|
|
}
|
|
|
|
*s = wasm_f32x4_extract_lane(sumv, 0) + wasm_f32x4_extract_lane(sumv, 1) +
|
|
wasm_f32x4_extract_lane(sumv, 2) + wasm_f32x4_extract_lane(sumv, 3) + summs;
|
|
#elif defined(__AVX2__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
float summs = 0.0f;
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; i++) {
|
|
const __m256 dx = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d));
|
|
|
|
summs += GGML_FP16_TO_FP32(x[i].m) * (y[i].s0 + y[i].s1);
|
|
|
|
__m256i bx = bytes_from_nibbles_32(x[i].qs);
|
|
__m256i bxhi = bytes_from_bits_32(x[i].qh);
|
|
bxhi = _mm256_and_si256(bxhi, _mm256_set1_epi8(0x10));
|
|
bx = _mm256_or_si256(bx, bxhi);
|
|
|
|
const __m256 dy = _mm256_broadcast_ss(&y[i].d);
|
|
const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_i8_pairs_float(bx, by);
|
|
|
|
acc = _mm256_fmadd_ps(q, _mm256_mul_ps(dx, dy), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
#else
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const uint8_t * restrict x0 = x[i].qs;
|
|
const int8_t * restrict y0 = y[i].qs;
|
|
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float m = GGML_FP16_TO_FP32(x[i].m);
|
|
|
|
int sxy = 0;
|
|
|
|
for (int j = 0; j < V1_QK8_1/2; j++) {
|
|
const uint8_t v0 = x0[j];
|
|
|
|
const int x0_0h = ((qh & (1u << (2*j + 0))) >> (2*j + 0)) << 4;
|
|
const int x1_0h = ((qh & (1u << (2*j + 1))) >> (2*j + 1)) << 4;
|
|
|
|
const int x0_0 = (v0 & 0x0F) | x0_0h;
|
|
const int x1_0 = (v0 >> 4) | x1_0h;
|
|
|
|
const int y0_0 = y0[2*j + 0];
|
|
const int y1_0 = y0[2*j + 1];
|
|
|
|
sxy += x0_0*y0_0 + x1_0*y1_0;
|
|
}
|
|
|
|
sumf += (d*sxy)*y[i].d + m*(y[i].s0 + y[i].s1);
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|