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https://github.com/Tencent/ncnn.git
synced 2026-10-17 04:41:47 +08:00
nihui
706c4d1964
Add 4d Mat handling across generic and optimized backends, extend operator tests, and document supported input and output Mat dimensions.
60 lines
1.2 KiB
C++
60 lines
1.2 KiB
C++
// Copyright 2022 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_power(const ncnn::Mat& a)
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{
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ncnn::ParamDict pd;
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pd.set(0, 1.1f);
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pd.set(1, 1.5f);
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pd.set(2, 2.0f);
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std::vector<ncnn::Mat> weights(0);
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int ret = test_layer("Power", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_power failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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}
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return ret;
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}
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static int test_power_0()
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{
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return 0
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|| test_power(RandomMat(5, 6, 7, 24))
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|| test_power(RandomMat(7, 8, 9, 12))
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|| test_power(RandomMat(3, 4, 5, 13))
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|| test_power(RandomMat(5, 7, 24))
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|| test_power(RandomMat(7, 9, 12))
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|| test_power(RandomMat(3, 5, 13));
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}
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static int test_power_1()
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{
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return 0
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|| test_power(RandomMat(15, 24))
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|| test_power(RandomMat(19, 12))
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|| test_power(RandomMat(17, 15));
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}
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static int test_power_2()
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{
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return 0
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|| test_power(RandomMat(128))
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|| test_power(RandomMat(124))
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|| test_power(RandomMat(127));
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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_power_0()
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|| test_power_1()
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|| test_power_2();
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}
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