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62 lines
2.1 KiB
62 lines
2.1 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 <string>
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#include <unordered_set>
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#include <vector>
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#include "paddle/fluid/framework/executor.h"
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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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class ParallelExecutorPrivate;
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class ParallelExecutor {
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DISABLE_COPY_AND_ASSIGN(ParallelExecutor);
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public:
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explicit ParallelExecutor(size_t num_threads, bool use_event,
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const std::vector<platform::Place>& places,
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const std::unordered_set<std::string>& params,
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const std::unordered_set<std::string>& bcast_vars,
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const ProgramDesc& main_program,
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const std::string& loss_var_name, Scope* scope,
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const std::vector<Scope*>& local_scopes,
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bool allow_op_delay);
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std::vector<Scope*>& GetLocalScopes();
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void Run(const std::vector<std::string>& fetch_tensors,
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const std::string& fetched_var_name,
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const std::unordered_map<std::string, LoDTensor>& feed_tensors);
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void BCastParamsToGPUs(const std::unordered_set<std::string>& vars) const;
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private:
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void SplitTensorToPlaces(
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const std::unordered_map<std::string, LoDTensor>& feed_tensors);
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ParallelExecutorPrivate* member_;
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};
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} // namespace framework
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} // namespace paddle
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