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ggml/tests/test-vec2.c

269 lines
7.2 KiB

#include <stdint.h>
#include <stdio.h>
#include <assert.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <sys/time.h>
#include <arm_neon.h>
const int N = 1 << 12;
const int M = 1 << 12;
//
// naive implementation
//
void mul_mat_vec_f32_0(
const float * restrict src0,
const float * restrict src1,
float * dst,
int nrows,
int ncols) {
for (int i = 0; i < nrows; i++) {
float sum = 0.0f;
for (int j = 0; j < ncols; j++) {
sum += src0[i*ncols + j]*src1[j];
}
dst[i] = sum;
}
}
void mul_mat_vec_f16_0(
const __fp16 * src0,
const __fp16 * src1,
float * dst,
int nrows,
int ncols) {
const int n64 = ncols & ~63;
for (int r = 0; r < nrows; r++) {
float sumf = 0.0;
float16x8_t sum0 = vdupq_n_f16(0.0f);
float16x8_t sum1 = vdupq_n_f16(0.0f);
float16x8_t sum2 = vdupq_n_f16(0.0f);
float16x8_t sum3 = vdupq_n_f16(0.0f);
float16x8_t sum4 = vdupq_n_f16(0.0f);
float16x8_t sum5 = vdupq_n_f16(0.0f);
float16x8_t sum6 = vdupq_n_f16(0.0f);
float16x8_t sum7 = vdupq_n_f16(0.0f);
float16x8_t x0, x1, x2, x3, x4, x5, x6, x7;
float16x8_t y0, y1, y2, y3, y4, y5, y6, y7;
const __fp16 * restrict p0 = src0 + r*ncols;
for (int i = 0; i < n64; i += 64) {
x0 = vld1q_f16(p0 + i + 0 );
x1 = vld1q_f16(p0 + i + 8 );
x2 = vld1q_f16(p0 + i + 16);
x3 = vld1q_f16(p0 + i + 24);
x4 = vld1q_f16(p0 + i + 32);
x5 = vld1q_f16(p0 + i + 40);
x6 = vld1q_f16(p0 + i + 48);
x7 = vld1q_f16(p0 + i + 56);
y0 = vld1q_f16(src1 + i + 0 );
y1 = vld1q_f16(src1 + i + 8 );
y2 = vld1q_f16(src1 + i + 16);
y3 = vld1q_f16(src1 + i + 24);
y4 = vld1q_f16(src1 + i + 32);
y5 = vld1q_f16(src1 + i + 40);
y6 = vld1q_f16(src1 + i + 48);
y7 = vld1q_f16(src1 + i + 56);
sum0 = vfmaq_f16(sum0, x0, y0);
sum1 = vfmaq_f16(sum1, x1, y1);
sum2 = vfmaq_f16(sum2, x2, y2);
sum3 = vfmaq_f16(sum3, x3, y3);
sum4 = vfmaq_f16(sum4, x4, y4);
sum5 = vfmaq_f16(sum5, x5, y5);
sum6 = vfmaq_f16(sum6, x6, y6);
sum7 = vfmaq_f16(sum7, x7, y7);
}
// TODO: F16 - better way to reduce this ?
float16x8_t sum = vaddq_f16(sum0, sum1);
sum = vaddq_f16(sum, sum2);
sum = vaddq_f16(sum, sum3);
sum = vaddq_f16(sum, sum4);
sum = vaddq_f16(sum, sum5);
sum = vaddq_f16(sum, sum6);
sum = vaddq_f16(sum, sum7);
sumf += sum[0] + sum[1] + sum[2] + sum[3] + sum[4] + sum[5] + sum[6] + sum[7];
for (int j = n64; j < n64; j++) {
sumf += src0[r*ncols + j]*src1[j];
}
dst[r] = sumf;
}
}
void mul_mat_vec_f16_1(
const __fp16 * src0,
const __fp16 * src1,
float * dst,
int nrows,
int ncols) {
const int n32 = ncols & ~31;
for (int r = 0; r < nrows; r++) {
float sumf = 0.0;
float16x8_t sum0 = vdupq_n_f16(0.0f);
float16x8_t sum1 = vdupq_n_f16(0.0f);
float16x8_t sum2 = vdupq_n_f16(0.0f);
float16x8_t sum3 = vdupq_n_f16(0.0f);
float16x8_t x0, x1, x2, x3;
float16x8_t y0, y1, y2, y3;
const __fp16 * restrict p0 = src0 + r*ncols;
for (int i = 0; i < n32; i += 32) {
x0 = vld1q_f16(p0 + i + 0 );
x1 = vld1q_f16(p0 + i + 8 );
x2 = vld1q_f16(p0 + i + 16);
x3 = vld1q_f16(p0 + i + 24);
y0 = vld1q_f16(src1 + i + 0 );
y1 = vld1q_f16(src1 + i + 8 );
y2 = vld1q_f16(src1 + i + 16);
y3 = vld1q_f16(src1 + i + 24);
sum0 = vfmaq_f16(sum0, x0, y0);
sum1 = vfmaq_f16(sum1, x1, y1);
sum2 = vfmaq_f16(sum2, x2, y2);
sum3 = vfmaq_f16(sum3, x3, y3);
}
// reduce sum0..sum3 to sum0
sum0 = vaddq_f16(sum0, sum1);
sum2 = vaddq_f16(sum2, sum3);
sum0 = vaddq_f16(sum0, sum2);
// load sum0 into 2 float32x4_t
float32x4_t sum0f32 = vcvt_f32_f16(vget_low_f16(sum0));
float32x4_t sum1f32 = vcvt_f32_f16(vget_high_f16(sum0));
// reduce sum0f32 and sum1f32 to sumf
sum0f32 = vaddq_f32(sum0f32, sum1f32);
float32x2_t sumf32 = vadd_f32(vget_low_f32(sum0f32), vget_high_f32(sum0f32));
sumf = vget_lane_f32(sumf32, 0) + vget_lane_f32(sumf32, 1);
//sumf = sum0[0] + sum0[1] + sum0[2] + sum0[3] + sum0[4] + sum0[5] + sum0[6] + sum0[7];
for (int j = n32; j < n32; j++) {
sumf += src0[r*ncols + j]*src1[j];
}
dst[r] = sumf;
}
}
uint64_t get_time_us() {
struct timeval tv;
gettimeofday(&tv, NULL);
return tv.tv_sec * 1000000 + tv.tv_usec;
}
int main(int argc, const char ** argv) {
float * src0 = (float *)malloc(sizeof(float)*N*M);
float * src1 = (float *)malloc(sizeof(float)*M);
float * dst = (float *)malloc(sizeof(float)*N);
//float * src0 = (float *)(aligned_alloc(64, sizeof(float)*N*M));
//float * src1 = (float *)(aligned_alloc(64, sizeof(float)*M));
//float * dst = (float *)(aligned_alloc(64, sizeof(float)*N));
for (int i = 0; i < N*M; i++) {
src0[i] = rand() / (float)RAND_MAX;
}
for (int i = 0; i < M; i++) {
src1[i] = rand() / (float)RAND_MAX;
}
// convert src0 and src1 to __fp16
__fp16 * src0_fp16 = (__fp16 *)(malloc(sizeof(__fp16)*N*M));
__fp16 * src1_fp16 = (__fp16 *)(malloc(sizeof(__fp16)*M));
{
const uint64_t t_start = get_time_us();
for (int i = 0; i < N*M; i++) {
src0_fp16[i] = src0[i];
//printf("%f %f\n", src0[i], src0_fp16[i]);
//assert(!isnan(src0_fp16[i]));
}
for (int i = 0; i < M; i++) {
src1_fp16[i] = src1[i];
}
const uint64_t t_end = get_time_us();
printf("convert time: %f ms\n", (t_end - t_start) / 1000.0);
}
for (int i = 0; i < 16; ++i) {
printf("%f %f\n", src0[i], src0_fp16[i]);
}
int method = 0;
if (argc > 1) {
method = atoi(argv[1]);
}
const int nIter = 1000;
const clock_t start = clock();
const uint64_t start_us = get_time_us();
double iM = 1.0/M;
double sum = 0.0f;
for (int i = 0; i < nIter; i++) {
if (method == 0) {
mul_mat_vec_f32_0(src0, src1, dst, N, M);
}
if (method == 1) {
mul_mat_vec_f16_0(src0_fp16, src1_fp16, dst, N, M);
}
if (method == 2) {
mul_mat_vec_f16_1(src0_fp16, src1_fp16, dst, N, M);
}
}
for (int i = 0; i < N; i++) {
sum += dst[i]*iM;
}
{
const clock_t end = clock();
const uint64_t end_us = get_time_us();
printf("%s: elapsed ticks: %ld\n", __func__, end - start);
printf("%s: elapsed us: %llu / %f ms\n", __func__, end_us - start_us, (end_us - start_us) / 1000.0 / nIter);
}
printf("%f\n", sum);
free(src0);
free(src1);
free(dst);
free(src0_fp16);
free(src1_fp16);
return 0;
}