// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2023 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/diag.h" #include "testutil.h" static int test_diag(const ncnn::Mat& a, int diagonal) { ncnn::ParamDict pd; pd.set(0, diagonal); std::vector weights(0); int ret = test_layer("Diag", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_diag failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c); } return ret; } static int test_diag_0() { return 0 || test_diag(RandomMat(5, 24), 3) || test_diag(RandomMat(7, 12), 0) || test_diag(RandomMat(6, 6), -4) || test_diag(RandomMat(3, 4), -6); } static int test_diag_1() { return 0 || test_diag(RandomMat(5), -1) || test_diag(RandomMat(7), 0) || test_diag(RandomMat(3), 2); } int main() { SRAND(7767517); return 0 || test_diag_0() || test_diag_1(); }