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86 lines
2.6 KiB
86 lines
2.6 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 <string>
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#include "paddle/framework/operator.h"
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namespace paddle {
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namespace operators {
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namespace rnn {
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using Scope = framework::Scope;
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/**
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* Memory of a RNN (same as the role of `Momory` in PaddlePaddle).
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*
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* Memory attributes cached by this op, dims will be infered from
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* boot memories in father scope. Other attributes are copied from Op's proto
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* attributes.
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*/
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struct MemoryAttr {
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// name of current state variable
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std::string var;
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// name of previous step's state variable
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std::string pre_var;
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// name of the variables to init this memory (same role of `boot_layer` in
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// PaddlePaddle), which is store in father's scope.
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std::string boot_var;
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};
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struct Argument {
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std::string step_net;
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std::string step_scopes;
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std::vector<std::string> inlinks;
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std::vector<std::string> outlinks;
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std::vector<rnn::MemoryAttr> memories;
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};
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struct ArgumentName {
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std::string step_net;
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std::string step_scopes;
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std::string inlinks;
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std::string outlinks;
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std::string memories; // the memory name
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std::string pre_memories; // the previous memory name
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std::string boot_memories; // the boot memory name
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};
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/**
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* Prepare inputs for each step net.
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*/
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void SegmentInputs(const std::vector<Scope*>& step_scopes,
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const std::vector<std::string>& inlinks,
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const size_t seq_len, bool infer_shape_mode);
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/**
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* Process outputs of step nets and merge to variables.
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*/
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void ConcatOutputs(const std::vector<Scope*>& step_scopes,
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const std::vector<std::string>& outlinks,
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const size_t seq_len, bool infer_shape_mode);
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void LinkMemories(const std::vector<Scope*>& step_scopes,
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const std::vector<MemoryAttr>& memories, const size_t step_id,
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const int offset, bool infer_shape_mode);
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void InitArgument(const ArgumentName& name, Argument* arg,
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const framework::OperatorBase& op, bool is_grad = false);
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} // namespace rnn
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} // namespace operators
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} // namespace paddle
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