mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-18 21:54:39 +08:00
nihui
240 lines
9.0 KiB
C++
240 lines
9.0 KiB
C++
// Copyright 2025 Tencent
|
|
// SPDX-License-Identifier: BSD-3-Clause
|
|
|
|
#include "testutil.h"
|
|
|
|
static int test_gemm_nt(int M, int N, int K, int transA, int transB, int output_transpose, int constantA, int constantB)
|
|
{
|
|
ncnn::ParamDict pd;
|
|
pd.set(2, transA);
|
|
pd.set(3, transB);
|
|
pd.set(4, constantA);
|
|
pd.set(5, constantB);
|
|
pd.set(6, 1);
|
|
pd.set(7, M);
|
|
pd.set(8, N);
|
|
pd.set(9, K);
|
|
pd.set(10, -1);
|
|
pd.set(14, output_transpose);
|
|
|
|
std::vector<ncnn::Mat> weights;
|
|
if (constantA) weights.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
|
|
if (constantB) weights.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
|
|
|
|
std::vector<ncnn::Mat> a;
|
|
if (!constantA) a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
|
|
if (!constantB) a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
|
|
|
|
for (size_t i = 0; i < weights.size(); i++)
|
|
{
|
|
Randomize(weights[i]);
|
|
}
|
|
|
|
for (size_t i = 0; i < a.size(); i++)
|
|
{
|
|
Randomize(a[i]);
|
|
}
|
|
|
|
float epsilon = 0.001;
|
|
|
|
int ret = test_layer("Gemm", pd, weights, a, 1, epsilon, TEST_LAYER_ENABLE_THREADING);
|
|
if (ret != 0)
|
|
{
|
|
fprintf(stderr, "test_gemm_nt failed M=%d N=%d K=%d transA=%d transB=%d output_transpose=%d constantA=%d constantB=%d\n", M, N, K, transA, transB, output_transpose, constantA, constantB);
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int test_gemm_0(int M, int N, int K)
|
|
{
|
|
return 0
|
|
|| test_gemm_nt(M, N, K, 0, 0, 0, 0, 0)
|
|
|| test_gemm_nt(M, N, K, 0, 1, 0, 0, 0)
|
|
|| test_gemm_nt(M, N, K, 1, 0, 1, 0, 0)
|
|
|| test_gemm_nt(M, N, K, 1, 1, 1, 0, 0)
|
|
|
|
|| test_gemm_nt(M, N, K, 0, 0, 1, 1, 0)
|
|
|| test_gemm_nt(M, N, K, 0, 1, 1, 1, 0)
|
|
|| test_gemm_nt(M, N, K, 1, 0, 0, 1, 0)
|
|
|| test_gemm_nt(M, N, K, 1, 1, 0, 1, 0)
|
|
|
|
|| test_gemm_nt(M, N, K, 0, 0, 0, 0, 1)
|
|
|| test_gemm_nt(M, N, K, 0, 1, 1, 0, 1)
|
|
|| test_gemm_nt(M, N, K, 1, 0, 0, 0, 1)
|
|
|| test_gemm_nt(M, N, K, 1, 1, 1, 0, 1)
|
|
|
|
|| test_gemm_nt(M, N, K, 0, 0, 1, 1, 1)
|
|
|| test_gemm_nt(M, N, K, 0, 1, 0, 1, 1)
|
|
|| test_gemm_nt(M, N, K, 1, 0, 1, 1, 1)
|
|
|| test_gemm_nt(M, N, K, 1, 1, 0, 1, 1);
|
|
}
|
|
|
|
static int test_gemm_bias_nt(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB, int output_transpose, int constantA, int constantB, int constantC)
|
|
{
|
|
int broadcast_type_C = 0;
|
|
if (C.dims == 1 && C.w == 1)
|
|
{
|
|
// scalar
|
|
broadcast_type_C = 0;
|
|
}
|
|
if (C.dims == 1 && C.w == M)
|
|
{
|
|
// M
|
|
// auto broadcast from h to w is the ncnn-style convention
|
|
broadcast_type_C = 1;
|
|
}
|
|
if (C.dims == 1 && C.w == N)
|
|
{
|
|
// N
|
|
broadcast_type_C = 4;
|
|
}
|
|
if (C.dims == 2 && C.w == 1 && C.h == M)
|
|
{
|
|
// Mx1
|
|
broadcast_type_C = 2;
|
|
}
|
|
if (C.dims == 2 && C.w == N && C.h == M)
|
|
{
|
|
// MxN
|
|
broadcast_type_C = 3;
|
|
}
|
|
if (C.dims == 2 && C.w == N && C.h == 1)
|
|
{
|
|
// 1xN
|
|
broadcast_type_C = 4;
|
|
}
|
|
|
|
ncnn::ParamDict pd;
|
|
pd.set(0, alpha);
|
|
pd.set(1, beta);
|
|
pd.set(2, transA);
|
|
pd.set(3, transB);
|
|
pd.set(4, constantA);
|
|
pd.set(5, constantB);
|
|
pd.set(6, constantC);
|
|
pd.set(7, M);
|
|
pd.set(8, N);
|
|
pd.set(9, K);
|
|
pd.set(10, broadcast_type_C);
|
|
pd.set(14, output_transpose);
|
|
|
|
std::vector<ncnn::Mat> weights;
|
|
if (constantA) weights.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
|
|
if (constantB) weights.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
|
|
if (constantC) weights.push_back(C);
|
|
|
|
std::vector<ncnn::Mat> a;
|
|
if (!constantA) a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
|
|
if (!constantB) a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
|
|
if (!constantC) a.push_back(C);
|
|
|
|
for (size_t i = 0; i < weights.size(); i++)
|
|
{
|
|
Randomize(weights[i]);
|
|
}
|
|
|
|
for (size_t i = 0; i < a.size(); i++)
|
|
{
|
|
Randomize(a[i]);
|
|
}
|
|
|
|
float epsilon = 0.001;
|
|
|
|
int ret = test_layer("Gemm", pd, weights, a, 1, epsilon, TEST_LAYER_ENABLE_THREADING);
|
|
if (ret != 0)
|
|
{
|
|
fprintf(stderr, "test_gemm_bias_nt failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f beta=%f transA=%d transB=%d output_transpose=%d constantA=%d constantB=%d constantC=%d\n", M, N, K, C.dims, C.w, C.h, C.c, alpha, beta, transA, transB, output_transpose, constantA, constantB, constantC);
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int test_gemm_1(int M, int N, int K)
|
|
{
|
|
return 0
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 1, 0, 0, 1, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 1, 1, 0, 1, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 0, 0, 1, 1, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 0, 1, 1, 1, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 1, 0, 0, 1, 0, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 1, 1, 0, 1, 0, 0)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 1, 0, 0, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 1, 0, 0, 0, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 1, 1, 0, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 0, 0, 1, 0, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 1, 0, 0, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 1, 0, 0, 0, 1, 0)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 1, 1, 0, 1, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 0, 0, 1, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 0, 1, 1, 1, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 0, 1, 1, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 1, 1, 0, 1, 1, 0)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 0, 0, 1, 1, 0)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 1, 0, 0, 0, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 1, 1, 0, 0, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 0, 0, 1, 0, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 0, 1, 1, 0, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 1, 0, 0, 0, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 1, 1, 0, 0, 0, 1)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 1, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 1, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 1, 0, 1)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 1, 1, 0, 0, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 0, 0, 0, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 0, 1, 1, 0, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 0, 1, 0, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 1, 1, 0, 0, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 0, 0, 0, 1, 1)
|
|
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 1, 0, 1, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 1, 0, 0, 1, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 1, 1, 1, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 0, 0, 1, 1, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 1, 0, 1, 1, 1)
|
|
|| test_gemm_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 1, 0, 0, 1, 1, 1);
|
|
}
|
|
|
|
int main()
|
|
{
|
|
SRAND(7767517);
|
|
|
|
int mnk[][3] = {
|
|
{1, 20, 40},
|
|
{20, 2, 39},
|
|
{3, 30, 13},
|
|
{33, 1, 19}
|
|
};
|
|
|
|
int mnk_count = sizeof(mnk) / sizeof(int) / 3;
|
|
|
|
for (int i = 0; i < mnk_count; i++)
|
|
{
|
|
int M = mnk[i][0];
|
|
int N = mnk[i][1];
|
|
int K = mnk[i][2];
|
|
|
|
int ret = test_gemm_0(M, N, K) || test_gemm_1(M, N, K);
|
|
|
|
if (ret != 0)
|
|
return ret;
|
|
}
|
|
|
|
return 0;
|
|
}
|