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78 lines
2.1 KiB
78 lines
2.1 KiB
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 <vector>
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#include "paddle/fluid/platform/place.h"
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namespace paddle {
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namespace platform {
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class DeviceContext;
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} // namespace platform
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namespace framework {
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class Variable;
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} // namespace framework
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} // namespace paddle
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namespace paddle {
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namespace imperative {
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struct ParallelStrategy {
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int nranks_{1};
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int local_rank_{0};
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std::vector<std::string> trainer_endpoints_{};
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std::string current_endpoint_{""};
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int nrings_{1};
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};
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class ParallelContext {
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public:
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explicit ParallelContext(const ParallelStrategy& strategy,
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const platform::Place& place)
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: strategy_(strategy), place_(place) {}
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virtual ~ParallelContext() = default;
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virtual void Init() = 0;
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virtual void AllReduceByStream(const framework::Variable& src,
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framework::Variable* dst, int ring_id,
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bool use_calc_stream) = 0;
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virtual paddle::platform::DeviceContext* GetDeviceContext(int ring_id) = 0;
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// comm_stream[ring_id] wait compute_stream.
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// if CPU, should do nothing.
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virtual void WaitCompute(int ring_id) = 0;
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// compute_stream wait comm_stream[ring_id]
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// if CPU, should do nothing.
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virtual void WaitComm(int ring_id) = 0;
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inline int GetNRings() const { return strategy_.nrings_; }
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inline int64_t GetNRanks() const { return strategy_.nranks_; }
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protected:
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ParallelStrategy strategy_;
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platform::Place place_;
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};
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} // namespace imperative
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} // namespace paddle
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