// 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/hardswish.h" #include "testutil.h" static int test_hardswish(const ncnn::Mat& a, float alpha, float beta) { ncnn::ParamDict pd; pd.set(0, alpha); pd.set(1, beta); std::vector weights(0); int ret = test_layer("HardSwish", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_hardswish failed a.dims=%d a=(%d %d %d) alpha=%f beta=%f\n", a.dims, a.w, a.h, a.c, alpha, beta); } return ret; } static int test_hardswish_0() { return 0 || test_hardswish(RandomMat(5, 7, 24), 0.2f, 0.5f) || test_hardswish(RandomMat(7, 9, 12), 0.2f, 0.5f) || test_hardswish(RandomMat(3, 5, 13), 0.2f, 0.5f); } static int test_hardswish_1() { return 0 || test_hardswish(RandomMat(15, 24), 0.2f, 0.5f) || test_hardswish(RandomMat(17, 12), 0.2f, 0.5f) || test_hardswish(RandomMat(19, 15), 0.2f, 0.5f); } static int test_hardswish_2() { return 0 || test_hardswish(RandomMat(128), 0.2f, 0.5f) || test_hardswish(RandomMat(124), 0.2f, 0.5f) || test_hardswish(RandomMat(127), 0.2f, 0.5f); } int main() { SRAND(7767517); return 0 || test_hardswish_0() || test_hardswish_1() || test_hardswish_2(); }