mirror of
https://github.com/Tencent/ncnn.git
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76 lines
1.9 KiB
C++
76 lines
1.9 KiB
C++
// Copyright 2019 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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static int test_relu(const ncnn::Mat& a, float slope)
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{
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ncnn::ParamDict pd;
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pd.set(0, slope); //slope
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("ReLU", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_relu failed a.dims=%d a=(%d %d %d %d) slope=%f\n", a.dims, a.w, a.h, a.d, a.c, slope);
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}
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return ret;
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}
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static int test_relu_0()
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{
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return 0
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|| test_relu(RandomMat(5, 6, 7, 24), 0.f)
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|| test_relu(RandomMat(5, 6, 7, 24), 0.1f)
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|| test_relu(RandomMat(7, 8, 9, 12), 0.f)
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|| test_relu(RandomMat(7, 8, 9, 12), 0.1f)
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|| test_relu(RandomMat(3, 4, 5, 13), 0.f)
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|| test_relu(RandomMat(3, 4, 5, 13), 0.1f);
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}
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static int test_relu_1()
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{
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return 0
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|| test_relu(RandomMat(5, 7, 24), 0.f)
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|| test_relu(RandomMat(5, 7, 24), 0.1f)
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|| test_relu(RandomMat(7, 9, 12), 0.f)
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|| test_relu(RandomMat(7, 9, 12), 0.1f)
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|| test_relu(RandomMat(3, 5, 13), 0.f)
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|| test_relu(RandomMat(3, 5, 13), 0.1f);
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}
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static int test_relu_2()
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{
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return 0
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|| test_relu(RandomMat(15, 24), 0.f)
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|| test_relu(RandomMat(15, 24), 0.1f)
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|| test_relu(RandomMat(17, 12), 0.f)
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|| test_relu(RandomMat(17, 12), 0.1f)
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|| test_relu(RandomMat(19, 15), 0.f)
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|| test_relu(RandomMat(19, 15), 0.1f);
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}
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static int test_relu_3()
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{
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return 0
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|| test_relu(RandomMat(128), 0.f)
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|| test_relu(RandomMat(128), 0.1f)
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|| test_relu(RandomMat(124), 0.f)
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|| test_relu(RandomMat(124), 0.1f)
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|| test_relu(RandomMat(127), 0.f)
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|| test_relu(RandomMat(127), 0.1f);
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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_relu_0()
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|| test_relu_1()
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|| test_relu_2()
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|| test_relu_3();
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}
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