/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 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. */ #pragma once #include "Function.h" namespace paddle { /** * \brief Context Projection Forward. * * \param[out] outputs output data. * \param[in] input input data. * \param[in] weight input weight. * \param[in] sequence input data. * \param[in] context_length consecutive rows for concatenation. * \param[in] context_start context start position. * \param[in] begin_pad begining pad position. * \param[in] is_padding whether padding 0 or not. * */ template void ContextProjectionForward(typename MatrixT::type* output, const typename MatrixT::type* input, const typename MatrixT::type* weight, const typename SequenceT::type& sequence, size_t context_length, int context_start, size_t begin_pad); /** * \brief Context Projection Backward. * * \param[out] outputs output gradient. * \param[in] input input gradient. * \param[in] weight input weight gradient. * \param[in] sequence input data. * \param[in] context_length consecutive rows for concatenation. * \param[in] context_start context start position. * \param[in] begin_pad begining pad position. * \param[in] is_padding whether padding 0 or not. * */ template void ContextProjectionBackward(typename MatrixT::type* out_grad, typename MatrixT::type* in_grad, typename MatrixT::type* w_grad, const typename SequenceT::type& seq_vec, size_t context_length, int context_start, size_t begin_pad, bool is_padding, size_t total_pad); template void ContextProjectionBackwardData( typename MatrixT::type* out_grad, typename MatrixT::type* in_grad, const typename SequenceT::type& sequence, size_t context_length, int context_start); template void ContextProjectionBackwardWeight( typename MatrixT::type* out_grad, typename MatrixT::type* w_grad, const typename SequenceT::type& seq_vec, size_t context_length, int context_start, size_t total_pad, size_t begin_pad); } // namespace paddle