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							79 lines
						
					
					
						
							2.6 KiB
						
					
					
				/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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 "paddle/fluid/framework/op_info.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace framework {
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extern void InitializeVariable(Variable* var, proto::VarType::Type var_type);
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struct ExecutorPrepareContext {
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  ExecutorPrepareContext(const framework::ProgramDesc& prog, size_t block_id);
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  ~ExecutorPrepareContext();
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  const framework::ProgramDesc& prog_;
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  size_t block_id_;
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  std::vector<std::unique_ptr<OperatorBase>> ops_;
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};
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class Executor {
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 public:
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  // TODO(dzhwinter) : Do not rely on this function, it will be removed
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  explicit Executor(const platform::DeviceContext& device)
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      : Executor(device.GetPlace()) {}
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  explicit Executor(const platform::Place& place);
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  /* @Brief
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   * Runtime evaluation of the given ProgramDesc under certain Scope
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   *
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   * @param
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   *  ProgramDesc
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   *  Scope
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   */
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  void Run(const ProgramDesc& prog, Scope* scope, int block_id,
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           bool create_local_scope = true, bool create_vars = true);
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  void Run(const ProgramDesc& program, Scope* scope,
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           std::map<std::string, const LoDTensor*>& feed_targets,
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           std::map<std::string, LoDTensor*>& fetch_targets,
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           bool create_vars = true,
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           const std::string& feed_holder_name = "feed",
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           const std::string& fetch_holder_name = "fetch");
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  static std::unique_ptr<ExecutorPrepareContext> Prepare(
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      const ProgramDesc& program, int block_id);
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  static std::vector<std::shared_ptr<ExecutorPrepareContext>> Prepare(
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      const ProgramDesc& program, const std::vector<int>& block_ids);
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  void CreateVariables(const ProgramDesc& pdesc, Scope* scope, int block_id);
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  void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope,
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                          bool create_local_scope = true,
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                          bool create_vars = true);
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 private:
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  const platform::Place place_;
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};
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}  // namespace framework
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}  // namespace paddle
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