mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-19 06:21:39 +08:00
nihui
706c4d1964
Add 4d Mat handling across generic and optimized backends, extend operator tests, and document supported input and output Mat dimensions.
81 lines
2.1 KiB
C++
81 lines
2.1 KiB
C++
// Copyright 2020 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_prelu(const ncnn::Mat& a, int num_slope)
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{
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ncnn::ParamDict pd;
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pd.set(0, num_slope);
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std::vector<ncnn::Mat> weights(1);
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weights[0] = RandomMat(num_slope);
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int ret = test_layer("PReLU", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_prelu failed a.dims=%d a=(%d %d %d %d) num_slope=%d\n", a.dims, a.w, a.h, a.d, a.c, num_slope);
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}
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return ret;
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}
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static int test_prelu_0()
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{
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return 0
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|| test_prelu(RandomMat(5, 7, 24), 24)
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|| test_prelu(RandomMat(5, 7, 24), 1)
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|| test_prelu(RandomMat(5, 7, 32), 32)
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|| test_prelu(RandomMat(5, 7, 32), 1)
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|| test_prelu(RandomMat(7, 9, 12), 12)
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|| test_prelu(RandomMat(7, 9, 12), 1)
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|| test_prelu(RandomMat(3, 5, 13), 13)
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|| test_prelu(RandomMat(3, 5, 13), 1);
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}
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static int test_prelu_1()
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{
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return 0
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|| test_prelu(RandomMat(15, 24), 24)
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|| test_prelu(RandomMat(15, 24), 1)
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|| test_prelu(RandomMat(15, 32), 32)
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|| test_prelu(RandomMat(15, 32), 1)
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|| test_prelu(RandomMat(17, 12), 12)
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|| test_prelu(RandomMat(17, 12), 1)
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|| test_prelu(RandomMat(19, 15), 15)
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|| test_prelu(RandomMat(19, 15), 1);
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}
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static int test_prelu_2()
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{
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return 0
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|| test_prelu(RandomMat(128), 128)
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|| test_prelu(RandomMat(128), 1)
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|| test_prelu(RandomMat(124), 124)
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|| test_prelu(RandomMat(124), 1)
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|| test_prelu(RandomMat(120), 120)
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|| test_prelu(RandomMat(120), 1)
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|| test_prelu(RandomMat(127), 127)
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|| test_prelu(RandomMat(127), 1);
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}
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static int test_prelu_3()
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{
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return 0
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|| test_prelu(RandomMat(5, 3, 2, 24), 24)
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|| test_prelu(RandomMat(5, 3, 2, 24), 1)
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|| test_prelu(RandomMat(3, 5, 3, 13), 13)
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|| test_prelu(RandomMat(3, 5, 3, 13), 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_prelu_3()
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|| test_prelu_0()
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|| test_prelu_1()
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|| test_prelu_2();
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}
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