mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-17 04:41:47 +08:00
nihui
65 lines
1.5 KiB
C++
65 lines
1.5 KiB
C++
// Copyright 2021 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_shrink(const ncnn::Mat& a, float bias, float lambd)
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{
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ncnn::ParamDict pd;
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pd.set(0, bias);
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pd.set(1, lambd);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Shrink", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_shrink failed a.dims=%d a=(%d %d %d %d) bias=%f lambd=%f\n", a.dims, a.w, a.h, a.d, a.c, bias, lambd);
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}
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return ret;
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}
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static int test_shrink_0()
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{
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return 0
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|| test_shrink(RandomMat(12, 24, 8, 3), 0.f, 5.0f)
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|| test_shrink(RandomMat(9, 7, 16, 4), 0.3f, 0.3f)
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|| test_shrink(RandomMat(6, 9, 4, 3), 4.5f, 6.1f);
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}
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static int test_shrink_1()
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{
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return 0
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|| test_shrink(RandomMat(12, 6, 24), 0.f, 5.0f)
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|| test_shrink(RandomMat(7, 8, 24), 0.3f, 0.3f)
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|| test_shrink(RandomMat(3, 4, 5), 4.5f, 6.1f);
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}
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static int test_shrink_2()
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{
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return 0
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|| test_shrink(RandomMat(5, 7), 0.f, 0.3f)
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|| test_shrink(RandomMat(7, 9), 4.f, 4.f)
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|| test_shrink(RandomMat(3, 5), 2.f, 4.f);
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}
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static int test_shrink_3()
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{
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return 0
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|| test_shrink(RandomMat(25), 0.f, 0.3f)
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|| test_shrink(RandomMat(63), 4.f, 4.f)
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|| test_shrink(RandomMat(1024), 2.f, 4.f);
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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_shrink_0()
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|| test_shrink_1()
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|| test_shrink_2()
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|| test_shrink_3();
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}
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