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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2017 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 "flatten.h"
- #include <string.h>
-
- namespace ncnn {
-
- DEFINE_LAYER_CREATOR(Flatten)
-
- Flatten::Flatten()
- {
- one_blob_only = true;
- support_inplace = false;
- }
-
- int Flatten::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 size = w * h;
-
- top_blob.create(size * channels, 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 unsigned char* ptr = bottom_blob.channel(q);
- unsigned char* outptr = (unsigned char*)top_blob + size * elemsize * q;
-
- memcpy(outptr, ptr, size * elemsize);
- }
-
- return 0;
- }
-
- } // namespace ncnn
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