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86 lines
2.8 KiB
86 lines
2.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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// #include "ConvOp.h"
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namespace paddle {
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/* The storage format of the coldata in the Im2ColFunctor and Col2ImFunctor. */
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enum ColFormat { kCFO = 0, kOCF = 1 };
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/*
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* \brief Converts the image data of four dimensions(NCHW) into a colData.
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* Then you can reshape colData to a convolution matrix for
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* convolution calculation based on matrix multiplication.
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*
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* \param imData Image data of NCHW format.
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* The format of imData is:
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* [input_channels, input_height, input_width].
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* \param colData colData data.
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* If the template argument Format is kCFO,
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* the format of colData is:
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* [input_channels,
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* filter_height,
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* filter_width,
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* output_height,
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* output_width]
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* If the template argument Format is kOCF,
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* the format of colData is:
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* [output_height,
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* output_width,
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* input_channels,
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* filter_height,
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* filter_width]
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* TODO(hedaoyuan): Refactor the arguments of the interface with TensorShape.
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*/
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template <ColFormat Format, DeviceType Device, class T>
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class Im2ColFunctor {
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public:
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void operator()(const T* imData,
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int inputChannels,
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int inputHeight,
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int inputWidth,
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int filterHeight,
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int filterWidth,
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int strideHeight,
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int strideWidth,
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int paddingHeight,
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int paddingWidth,
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int outputHeight,
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int outputWidth,
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T* colData);
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};
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template <ColFormat Format, DeviceType Device, class T>
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class Col2ImFunctor {
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public:
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void operator()(const T* colData,
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int inputChannels,
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int inputHeight,
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int inputWidth,
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int filterHeight,
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int filterWidth,
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int strideHeight,
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int strideWidth,
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int paddingHeight,
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int paddingWidth,
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int outputHeight,
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int outputWidth,
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T* imData);
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};
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} // namespace paddle
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