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74 lines
2.5 KiB
74 lines
2.5 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 "Function.h"
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namespace paddle {
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struct PadConf {
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/// how many values to add before/after the data along channel dimension.
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std::vector<uint32_t> channel;
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/// how many values to add before/after the data along height dimension.
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std::vector<uint32_t> height;
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/// how many values to add before/after the data along width dimension.
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std::vector<uint32_t> width;
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};
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/**
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* \brief This funtion pads zeros to inputs according to the specify dimension.
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* The input and output is a 4D tensor. Padding zeros from the 2nd to
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* the 4th dimenstion according argument of pad.
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*
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* \param[out] outputs save results.
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* \param[in] inputs input data.
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* \param[in] num batch size of input data.
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* \param[in] inC channel number of input data.
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* \param[in] inH height of input data.
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* \param[in] inH with of input data.
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* \param[in] pad the padding config, contains the size along the
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* specify dimension.
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*/
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template <DeviceType Device>
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void Pad(real* outputs,
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const real* inputs,
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const int num,
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const int inC,
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const int inH,
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const int inW,
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const PadConf& pad);
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/**
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* \brief Padding operation backward.
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*
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* \param[out] inGrad gradients of previous layer.
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* \param[in] outGrad output gradients.
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* \param[in] num batch size of input data.
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* \param[in] inC channel number of input data.
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* \param[in] inH height of input data.
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* \param[in] inH with of input data.
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* \param[in] pad the padding config, contains the size along the
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* specify dimension.
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*/
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template <DeviceType Device>
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void PadGrad(real* inGrad,
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const real* outGrad,
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const int num,
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const int inC,
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const int inH,
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const int inW,
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const PadConf& pad);
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} // namespace paddle
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