// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2018 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 "reorg.h" namespace ncnn { Reorg::Reorg() { one_blob_only = true; support_inplace = false; } int Reorg::load_param(const ParamDict& pd) { stride = pd.get(0, 1); mode = pd.get(1, 0); return 0; } int Reorg::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const { int w = bottom_blob.w; int h = bottom_blob.h; int channels = bottom_blob.c; size_t elemsize = bottom_blob.elemsize; int outw = w / stride; int outh = h / stride; int outc = channels * stride * stride; top_blob.create(outw, outh, outc, elemsize, opt.blob_allocator); if (top_blob.empty()) return -100; #pragma omp parallel for num_threads(opt.num_threads) for (int q = 0; q < channels; q++) { const Mat m = bottom_blob.channel(q); for (int sh = 0; sh < stride; sh++) { for (int sw = 0; sw < stride; sw++) { int p; if (mode == 0) p = q * stride * stride + sh * stride + sw; else // if (mode == 1) p = (sh * stride + sw) * channels + q; float* outptr = top_blob.channel(p); for (int i = 0; i < outh; i++) { const float* sptr = m.row(i * stride + sh) + sw; for (int j = 0; j < outw; j++) { outptr[0] = sptr[0]; sptr += stride; outptr++; } } } } } return 0; } } // namespace ncnn