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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // Unless required by applicable law or agreed to in writing, software distributed
- // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
- // CONDITIONS OF ANY KIND, either express or implied. See the License for the
- // specific language governing permissions and limitations under the License.
-
- #include "layer/gemm.h"
- #include "testutil.h"
-
- static int test_gemm(int M, int N, int K, float alpha, int transA, int transB)
- {
- ncnn::ParamDict pd;
- pd.set(0, alpha);
- pd.set(1, 1.f); // beta
- pd.set(2, transA);
- pd.set(3, transB);
-
- std::vector<ncnn::Mat> weights(0);
-
- std::vector<ncnn::Mat> a(2);
- a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
- a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
-
- Randomize(a[0]);
- Randomize(a[1]);
-
- int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_gemm failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d\n", M, N, K, alpha, transA, transB);
- }
-
- return ret;
- }
-
- static int test_gemm_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB)
- {
- ncnn::ParamDict pd;
- pd.set(0, alpha);
- pd.set(1, beta);
- pd.set(2, transA);
- pd.set(3, transB);
-
- std::vector<ncnn::Mat> weights(0);
-
- std::vector<ncnn::Mat> a(3);
- a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
- a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
- a[2] = C;
-
- Randomize(a[0]);
- Randomize(a[1]);
-
- int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_gemm_bias failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f transA=%d transB=%d\n", M, N, K, C.dims, C.w, C.h, C.c, alpha, transA, transB);
- }
-
- return ret;
- }
-
- static int test_gemm_0()
- {
- return 0
- || test_gemm(13, 14, 15, 0.1f, 0, 0)
- || test_gemm(13, 14, 15, 0.3f, 1, 0)
- || test_gemm(13, 14, 15, -0.4f, 0, 1)
- || test_gemm(13, 14, 15, 1.7f, 1, 1)
- || test_gemm(16, 24, 15, 0.1f, 0, 0)
- || test_gemm(16, 24, 15, 0.3f, 1, 0)
- || test_gemm(16, 24, 15, -0.4f, 0, 1)
- || test_gemm(16, 24, 15, 1.7f, 1, 1);
- }
-
- static int test_gemm_1()
- {
- return 0
- || test_gemm_bias(13, 14, 15, RandomMat(1), 0.1f, 0.2f, 0, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(1), 0.4f, -1.2f, 1, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(1), -0.3f, 3.f, 0, 1)
- || test_gemm_bias(13, 14, 15, RandomMat(1), 1.7f, 1.f, 1, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(1), 0.1f, 0.2f, 0, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(1), 0.4f, -1.2f, 1, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(1), -0.3f, 3.f, 0, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(1), 1.7f, 1.f, 1, 1);
- }
-
- static int test_gemm_2()
- {
- return 0
- || test_gemm_bias(13, 14, 15, RandomMat(13), 0.1f, 1.f, 0, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13), 0.4f, 2.f, 1, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13), -0.3f, 0.11f, 0, 1)
- || test_gemm_bias(13, 14, 15, RandomMat(13), 1.7f, -20.f, 1, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13), 0.1f, 1.f, 0, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13), 0.4f, 2.f, 1, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13), -0.3f, 0.11f, 0, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13), 1.7f, -20.f, 1, 1);
- }
-
- static int test_gemm_3()
- {
- return 0
- || test_gemm_bias(13, 14, 15, RandomMat(13, 1), 0.1f, 4.f, 0, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 1), 0.4f, 1.f, 1, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 1), -0.3f, -0.01f, 0, 1)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 1), 1.7f, 0.3f, 1, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 1), 0.1f, 4.f, 0, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 1), 0.4f, 1.f, 1, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 1), -0.3f, -0.01f, 0, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 1), 1.7f, 0.3f, 1, 1);
- }
-
- static int test_gemm_4()
- {
- return 0
- || test_gemm_bias(13, 14, 15, RandomMat(13, 14), 0.1f, 6.f, 0, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 14), 0.4f, 1.22f, 1, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 14), -0.3f, 1.01f, 0, 1)
- || test_gemm_bias(13, 14, 15, RandomMat(13, 14), 1.7f, 0.3f, 1, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 14), 0.1f, 6.f, 0, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 14), 0.4f, 1.22f, 1, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 14), -0.3f, 1.01f, 0, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(13, 14), 1.7f, 0.3f, 1, 1);
- }
-
- static int test_gemm_5()
- {
- return 0
- || test_gemm_bias(13, 14, 15, RandomMat(1, 14), 0.1f, 0.4f, 0, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(1, 14), 0.4f, -1.f, 1, 0)
- || test_gemm_bias(13, 14, 15, RandomMat(1, 14), -0.3f, -0.21f, 0, 1)
- || test_gemm_bias(13, 14, 15, RandomMat(1, 14), 1.7f, 1.3f, 1, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(1, 14), 0.1f, 0.4f, 0, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(1, 14), 0.4f, -1.f, 1, 0)
- || test_gemm_bias(16, 24, 15, RandomMat(1, 14), -0.3f, -0.21f, 0, 1)
- || test_gemm_bias(16, 24, 15, RandomMat(1, 14), 1.7f, 1.3f, 1, 1);
- }
-
- int main()
- {
- SRAND(7767517);
-
- return 0
- || test_gemm_0()
- || test_gemm_1()
- || test_gemm_2()
- || test_gemm_3()
- || test_gemm_4()
- || test_gemm_5();
- }
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