718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
175 lines
6.6 KiB
C++
175 lines
6.6 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "layer/gemm.h"
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#include "testutil.h"
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static int test_gemm(int M, int N, int K, float alpha, int transA, int transB)
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{
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ncnn::ParamDict pd;
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pd.set(0, alpha);
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pd.set(1, 1.f); // beta
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pd.set(2, transA);
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pd.set(3, transB);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a(2);
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a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
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a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
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Randomize(a[0]);
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Randomize(a[1]);
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int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_gemm failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d\n", M, N, K, alpha, transA, transB);
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}
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return ret;
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}
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static int test_gemm_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB)
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{
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ncnn::ParamDict pd;
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pd.set(0, alpha);
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pd.set(1, beta);
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pd.set(2, transA);
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pd.set(3, transB);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a(3);
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a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
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a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
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a[2] = C;
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Randomize(a[0]);
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Randomize(a[1]);
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int ret = test_layer<ncnn::Gemm>("Gemm", pd, weights, a);
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if (ret != 0)
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{
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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);
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}
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return ret;
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}
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static int test_gemm_0()
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{
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return 0
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|| test_gemm(13, 14, 15, 0.1f, 0, 0)
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|| test_gemm(13, 14, 15, 0.3f, 1, 0)
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|| test_gemm(13, 14, 15, -0.4f, 0, 1)
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|| test_gemm(13, 14, 15, 1.7f, 1, 1)
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|| test_gemm(16, 24, 15, 0.1f, 0, 0)
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|| test_gemm(16, 24, 15, 0.3f, 1, 0)
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|| test_gemm(16, 24, 15, -0.4f, 0, 1)
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|| test_gemm(16, 24, 15, 1.7f, 1, 1);
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}
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static int test_gemm_1()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(1), 0.1f, 0.2f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(1), 0.4f, -1.2f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(1), -0.3f, 3.f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(1), 1.7f, 1.f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(1), 0.1f, 0.2f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(1), 0.4f, -1.2f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(1), -0.3f, 3.f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(1), 1.7f, 1.f, 1, 1);
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}
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static int test_gemm_2()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(13), 0.1f, 1.f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13), 0.4f, 2.f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13), -0.3f, 0.11f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(13), 1.7f, -20.f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13), 0.1f, 1.f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13), 0.4f, 2.f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13), -0.3f, 0.11f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13), 1.7f, -20.f, 1, 1);
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}
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static int test_gemm_3()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 1), 0.1f, 4.f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 1), 0.4f, 1.f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 1), -0.3f, -0.01f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 1), 1.7f, 0.3f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 1), 0.1f, 4.f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 1), 0.4f, 1.f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 1), -0.3f, -0.01f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 1), 1.7f, 0.3f, 1, 1);
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}
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static int test_gemm_4()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 14), 0.1f, 6.f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 14), 0.4f, 1.22f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 14), -0.3f, 1.01f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(13, 14), 1.7f, 0.3f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 14), 0.1f, 6.f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 14), 0.4f, 1.22f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 14), -0.3f, 1.01f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(13, 14), 1.7f, 0.3f, 1, 1);
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}
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static int test_gemm_5()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(1, 14), 0.1f, 0.4f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(1, 14), 0.4f, -1.f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(1, 14), -0.3f, -0.21f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(1, 14), 1.7f, 1.3f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(1, 14), 0.1f, 0.4f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(1, 14), 0.4f, -1.f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(1, 14), -0.3f, -0.21f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(1, 14), 1.7f, 1.3f, 1, 1);
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}
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static int test_gemm_6()
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{
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return 0
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|| test_gemm_bias(13, 14, 15, RandomMat(14), 0.1f, 0.4f, 0, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(14), 0.4f, -1.f, 1, 0)
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|| test_gemm_bias(13, 14, 15, RandomMat(14), -0.3f, -0.21f, 0, 1)
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|| test_gemm_bias(13, 14, 15, RandomMat(14), 1.7f, 1.3f, 1, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(14), 0.1f, 0.4f, 0, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(14), 0.4f, -1.f, 1, 0)
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|| test_gemm_bias(16, 24, 15, RandomMat(14), -0.3f, -0.21f, 0, 1)
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|| test_gemm_bias(16, 24, 15, RandomMat(14), 1.7f, 1.3f, 1, 1);
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}
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int main()
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{
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SRAND(7767517);
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return 0
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|| test_gemm_0()
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|| test_gemm_1()
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|| test_gemm_2()
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|| test_gemm_3()
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|| test_gemm_4()
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|| test_gemm_5()
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|| test_gemm_6();
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}
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