// 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/groupnorm.h" #include "testutil.h" static int test_groupnorm(const ncnn::Mat& a, int group, float eps) { int channels = a.c; ncnn::ParamDict pd; pd.set(0, group); pd.set(1, channels); pd.set(2, eps); std::vector weights(2); weights[0] = RandomMat(channels); weights[1] = RandomMat(channels); int ret = test_layer("GroupNorm", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_groupnorm failed a.dims=%d a=(%d %d %d) group=%d eps=%f\n", a.dims, a.w, a.h, a.c, group, eps); } return ret; } static int test_groupnorm_0() { return 0 || test_groupnorm(RandomMat(6, 4, 2), 1, 0.01f) || test_groupnorm(RandomMat(3, 3, 8), 2, 0.002f) || test_groupnorm(RandomMat(4, 5, 6), 3, 0.01f) || test_groupnorm(RandomMat(5, 6, 12), 4, 0.02f) || test_groupnorm(RandomMat(6, 7, 24), 2, 0.001f) || test_groupnorm(RandomMat(8, 9, 24), 3, 0.0001f); } int main() { SRAND(7767517); return 0 || test_groupnorm_0(); }