// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2022 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 "testutil.h" static int test_unfold(int w, int h, int c, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int pad_w, int pad_h, float pad_value) { ncnn::Mat a = RandomMat(w, h, c); ncnn::ParamDict pd; pd.set(1, kernel_w); pd.set(11, kernel_h); pd.set(2, dilation_w); pd.set(12, dilation_h); pd.set(3, stride_w); pd.set(13, stride_h); pd.set(4, pad_w); pd.set(14, pad_h); pd.set(18, pad_value); std::vector<ncnn::Mat> weights(0); int ret = test_layer("Unfold", pd, weights, a); if (ret != 0) { fprintf(stderr, "test_unfold failed w=%d h=%d c=%d kernel=%d,%d dilation=%d,%d stride=%d,%d pad=%d,%d pad_value=%f\n", w, h, c, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, pad_w, pad_h, pad_value); } return ret; } static int test_unfold_0() { return 0 || test_unfold(32, 32, 11, 3, 3, 1, 1, 1, 1, 0, 0, 0.f) || test_unfold(32, 32, 12, 4, 2, 1, 1, 1, 2, 2, 2, -0.5f) || test_unfold(32, 32, 16, 3, 2, 2, 1, 1, 1, 4, 2, 2.f); } static int test_unfold_1() { return 0 || test_unfold(32, 32, 11, 3, 3, 1, 1, 1, 1, -233, -233, -0.5f) || test_unfold(32, 32, 12, 4, 2, 1, 1, 1, 2, -234, -234, 0.f) || test_unfold(32, 32, 16, 3, 2, 2, 1, 1, 1, -233, -233, 1.f); } int main() { SRAND(7767517); return test_unfold_0() || test_unfold_1(); }