// 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 weights(1); weights[0] = RandomMat(num_slope); int ret = test_layer("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(); }