--- /dev/null
+#include "ggml.h"
+
+#include <stdint.h>
+#include <stdio.h>
+#include <assert.h>
+#include <stdlib.h>
+#include <string.h>
+#include <time.h>
+#include <math.h>
+
+#include <sys/time.h>
+
+#include <arm_neon.h>
+
+#include <Accelerate/Accelerate.h>
+
+uint64_t get_time_us() {
+ struct timeval tv;
+ gettimeofday(&tv, NULL);
+ return tv.tv_sec * 1000000 + tv.tv_usec;
+}
+
+//
+// naive implementation
+//
+
+void mul_mat_f32_0(
+ const float * restrict src0, // M x K
+ const float * restrict src1, // N x K (transposed)
+ float * dst,
+ int m, int n, int k) {
+ for (int i = 0; i < m; i++) {
+ for (int j = 0; j < n; j++) {
+ float sum = 0;
+ for (int l = 0; l < k; l++) {
+ sum += src0[i*k + l] * src1[j*k + l];
+ }
+ dst[j*m + i] = sum;
+ }
+ }
+}
+
+int main(int argc, const char ** argv) {
+ if (argc < 4) {
+ printf("Usage: %s M N K\n", argv[0]);
+ return 1;
+ }
+
+ int M = atoi(argv[1]);
+ int N = atoi(argv[2]);
+ int K = atoi(argv[3]);
+
+ srand(time(NULL));
+
+ if (M == 0) M = rand() % 1000 + 1;
+ if (N == 0) N = rand() % 1000 + 1;
+ if (K == 0) K = rand() % 1000 + 1;
+
+ printf("M = %d, N = %d, K = %d\n", M, N, K);
+
+ float * src0 = (float *)malloc(sizeof(float)*M*K);
+ float * src1 = (float *)malloc(sizeof(float)*N*K);
+ float * dst0 = (float *)malloc(sizeof(float)*M*N); // naive
+ float * dst1 = (float *)malloc(sizeof(float)*M*N); // blas
+
+ struct ggml_init_params params = {
+ .mem_size = 2048ul*1024*1024,
+ .mem_buffer = NULL,
+ };
+
+ struct ggml_context * ctx0 = ggml_init(params);
+
+ struct ggml_tensor * s0_f32 = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, K, M);
+ struct ggml_tensor * s1_f32 = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, K, N);
+
+ struct ggml_tensor * s0_f16 = ggml_new_tensor_2d(ctx0, GGML_TYPE_F16, K, M);
+ struct ggml_tensor * s1_f16 = ggml_new_tensor_2d(ctx0, GGML_TYPE_F16, K, N);
+
+ for (int j = 0; j < M; j++) {
+ for (int i = 0; i < K; i++) {
+ //src0[j*K + i] = j;
+ src0[j*K + i] = 1e-3*(rand() % 1000);
+ }
+ }
+
+ for (int j = 0; j < N; j++) {
+ for (int i = 0; i < K; i++) {
+ //src1[j*K + i] = j + 1;
+ src1[j*K + i] = 1e-3*(rand() % 1000);
+ }
+ }
+
+ // copy src0 to s0_f32
+ {
+ float * p_f32 = s0_f32->data;
+ ggml_fp16_t * p_f16 = s0_f16->data;
+ for (int i = 0; i < M; i++) {
+ for (int j = 0; j < K; j++) {
+ p_f32[i*K + j] = src0[i*K + j];
+ p_f16[i*K + j] = ggml_fp32_to_fp16(src0[i*K + j]);
+ }
+ }
+ }
+
+ // copy src1 to s1_f32
+ {
+ float * p_f32 = s1_f32->data;
+ ggml_fp16_t * p_f16 = s1_f16->data;
+ for (int i = 0; i < N; i++) {
+ for (int j = 0; j < K; j++) {
+ p_f32[i*K + j] = src1[i*K + j];
+ p_f16[i*K + j] = ggml_fp32_to_fp16(src1[i*K + j]);
+ }
+ }
+ }
+
+ const clock_t start = clock();
+ const uint64_t start_us = get_time_us();
+
+ double iM = 1.0/M;
+ mul_mat_f32_0(src0, src1, dst0, M, N, K);
+
+ // Use BLAS sgemm from Accelerate framework
+ cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans, N, M, K, 1.0f, src1, K, src0, K, 0.0f, dst1, M);
+
+ struct ggml_tensor * dst2 = NULL;
+ struct ggml_tensor * dst3 = NULL;
+
+ {
+ dst2 = ggml_mul_mat(ctx0, s0_f32, s1_f32);
+
+ struct ggml_cgraph gf = ggml_build_forward(dst2);
+ ggml_graph_compute(ctx0, &gf);
+ }
+
+ {
+ dst3 = ggml_mul_mat(ctx0, s0_f16, s1_f32);
+
+ struct ggml_cgraph gf = ggml_build_forward(dst3);
+ ggml_graph_compute(ctx0, &gf);
+ }
+
+ bool ok_blas = true;
+ bool ok_ggml_f32 = true;
+ bool ok_ggml_f16 = true;
+
+ // check BLAS
+ for (int i = 0; i < M*N; i++) {
+ if (fabs(dst0[i] - dst1[i])/fabs(dst0[i]) > 0.0001) {
+ printf("dst0[%d] = %f, dst1[%d] = %f\n", i, dst0[i], i, dst1[i]);
+ ok_blas = false;
+ }
+ }
+
+ // check ggml (f32)
+ {
+ float * p = dst2->data;
+ for (int i = 0; i < M*N; i++) {
+ if (fabs(dst0[i] - p[i])/fabs(dst0[i]) > 0.0001) {
+ printf("dst0[%d] = %f, dst2[%d] = %f\n", i, dst0[i], i, p[i]);
+ ok_ggml_f32 = false;
+ }
+ }
+ }
+
+ // check ggml (f16)
+ {
+ float * p = dst3->data;
+ for (int i = 0; i < M*N; i++) {
+ if (fabs(dst0[i] - p[i])/fabs(dst0[i]) > 0.01) {
+ printf("dst0[%d] = %f, dst3[%d] = %f\n", i, dst0[i], i, p[i]);
+ ok_ggml_f16 = false;
+ }
+ }
+ }
+
+ {
+ const clock_t end = clock();
+ const uint64_t end_us = get_time_us();
+ printf("%s: elapsed ticks: %ld\n", __func__, end - start);
+ }
+
+#if 0
+ // print src0
+ printf("src0:\n");
+ for (int i = 0; i < M; i++) {
+ for (int j = 0; j < K; j++) {
+ printf("%4.1f ", src0[i*K+j]);
+ }
+ printf("\n");
+ }
+
+ // print src1
+ printf("src1:\n");
+ for (int i = 0; i < N; i++) {
+ for (int j = 0; j < K; j++) {
+ printf("%4.1f ", src1[i*K+j]);
+ }
+ printf("\n");
+ }
+
+ printf("\n");
+ printf("dst0 (naive):\n");
+ for (int j = 0; j < N; j++) {
+ for (int i = 0; i < M; i++) {
+ printf("%4.1f ", dst0[j*M+i]);
+ }
+ printf("\n");
+ }
+
+ printf("\n");
+ printf("dst1 (BLAS):\n");
+ for (int j = 0; j < N; j++) {
+ for (int i = 0; i < M; i++) {
+ printf("%4.1f ", dst1[j*M+i]);
+ }
+ printf("\n");
+ }
+
+ printf("\n");
+ printf("dst2 (ggml f32):\n");
+ for (int j = 0; j < N; j++) {
+ for (int i = 0; i < M; i++) {
+ printf("%4.1f ", ((float *)dst2->data)[j*M+i]);
+ }
+ printf("\n");
+ }
+
+ printf("\n");
+ printf("dst3 (ggml f16):\n");
+ for (int j = 0; j < N; j++) {
+ for (int i = 0; i < M; i++) {
+ printf("%4.1f ", ((float *)dst3->data)[j*M+i]);
+ }
+ printf("\n");
+ }
+
+ printf("\n");
+#endif
+
+ free(src0);
+ free(src1);
+ free(dst0);
+ free(dst1);
+
+ ggml_free(ctx0);
+
+ printf("ok_blas = %d\n", ok_blas);
+ if (!ok_blas) {
+ printf("ERROR: BLAS failed\n");
+ }
+
+ printf("ok_ggml_f32 = %d\n", ok_ggml_f32);
+ if (!ok_ggml_f32) {
+ printf("ERROR: ggml failed\n");
+ }
+
+ printf("ok_ggml_f16 = %d\n", ok_ggml_f16);
+ if (!ok_ggml_f16) {
+ printf("ERROR: ggml failed\n");
+ }
+
+ return (ok_blas && ok_ggml_f32 && ok_ggml_f16) ? 0 : 1;
+}