// 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/flatten.h" #include "testutil.h" static int test_flatten(const ncnn::Mat& a) { ncnn::ParamDict pd; std::vector weights(0); int ret = test_layer("Flatten", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_flatten failed a.dims=%d a=(%d %d %d)\n", a.dims, a.w, a.h, a.c); } return ret; } static int test_flatten_0() { return 0 || test_flatten(RandomMat(2, 4, 4)) || test_flatten(RandomMat(3, 5, 8)) || test_flatten(RandomMat(1, 1, 16)) || test_flatten(RandomMat(9, 10, 16)) || test_flatten(RandomMat(1, 7, 1)) || test_flatten(RandomMat(6, 6, 15)) || test_flatten(RandomMat(13, 13)) || test_flatten(RandomMat(16, 16)) || test_flatten(RandomMat(8, 12)) || test_flatten(RandomMat(8, 2)) || test_flatten(RandomMat(32)) || test_flatten(RandomMat(17)); } int main() { SRAND(7767517); return test_flatten_0(); }