77 lines
2.3 KiB
C++
77 lines
2.3 KiB
C++
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// 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/prelu.h"
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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<ncnn::PReLU>("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) num_slope=%d\n", a.dims, a.w, a.h, 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(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(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(127), 127)
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|| test_prelu(RandomMat(127), 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_0()
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|| test_prelu_1()
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|| test_prelu_2();
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}
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