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test_prelu.cpp
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test_prelu.cpp
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// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "layer/prelu.h"
#include "testutil.h"
static int test_prelu(const ncnn::Mat& a, int num_slope)
{
ncnn::ParamDict pd;
pd.set(0, num_slope);
std::vector<ncnn::Mat> weights(1);
weights[0] = RandomMat(num_slope);
int ret = test_layer<ncnn::PReLU>("PReLU", pd, weights, a);
if (ret != 0)
{
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);
}
return ret;
}
static int test_prelu_0()
{
return 0
|| test_prelu(RandomMat(5, 7, 24), 24)
|| test_prelu(RandomMat(5, 7, 24), 1)
|| test_prelu(RandomMat(7, 9, 12), 12)
|| test_prelu(RandomMat(7, 9, 12), 1)
|| test_prelu(RandomMat(3, 5, 13), 13)
|| test_prelu(RandomMat(3, 5, 13), 1);
}
static int test_prelu_1()
{
return 0
|| test_prelu(RandomMat(15, 24), 24)
|| test_prelu(RandomMat(15, 24), 1)
|| test_prelu(RandomMat(17, 12), 12)
|| test_prelu(RandomMat(17, 12), 1)
|| test_prelu(RandomMat(19, 15), 15)
|| test_prelu(RandomMat(19, 15), 1);
}
static int test_prelu_2()
{
return 0
|| test_prelu(RandomMat(128), 128)
|| test_prelu(RandomMat(128), 1)
|| test_prelu(RandomMat(124), 124)
|| test_prelu(RandomMat(124), 1)
|| test_prelu(RandomMat(127), 127)
|| test_prelu(RandomMat(127), 1);
}
int main()
{
SRAND(7767517);
return 0
|| test_prelu_0()
|| test_prelu_1()
|| test_prelu_2();
}