// 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