// 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/lrn.h" #include "testutil.h" static int test_lrn(const ncnn::Mat& a, int region_type, int local_size, float alpha, float beta, float bias) { ncnn::ParamDict pd; pd.set(0, region_type); pd.set(1, local_size); pd.set(2, alpha); pd.set(3, beta); pd.set(4, bias); std::vector weights(0); int ret = test_layer("LRN", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_lrn failed a.dims=%d a=(%d %d %d) region_type=%d local_size=%d alpha=%f beta=%f bias=%f\n", a.dims, a.w, a.h, a.c, region_type, local_size, alpha, beta, bias); } return ret; } static int test_lrn_0() { ncnn::Mat a = RandomMat(11, 7, 12); return 0 || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f) || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f) || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f) || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f); } static int test_lrn_1() { ncnn::Mat a = RandomMat(10, 8, 16); return 0 || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f) || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f) || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f) || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f); } static int test_lrn_2() { ncnn::Mat a = RandomMat(12, 10, 9); return 0 || test_lrn(a, 0, 1, 1.f, 0.75f, 1.f) || test_lrn(a, 0, 5, 2.f, 0.12f, 1.33f) || test_lrn(a, 1, 1, 0.6f, 0.4f, 2.4f) || test_lrn(a, 1, 3, 1.f, 0.75f, 0.5f); } int main() { SRAND(7767517); return 0 || test_lrn_0() || test_lrn_1() || test_lrn_2(); }