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Intergrate GLOOParallelContext to support Multi-CPU Core for Dygraph …
…DataParallel (PaddlePaddle#35154) * can pass the fake test * add files * modify cmake to pass windows-ci * for ci pass * WITH_GLOO=ON * for pass coverage test * add cpuonly testcase * add * disable nccl when compile with cuda * change python version in cpuonly * add backend argument * add required gpu * add required:gpu
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,109 @@ | ||
| // Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // 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. | ||
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| #include "paddle/fluid/imperative/gloo_context.h" | ||
| #include "paddle/fluid/framework/fleet/gloo_wrapper.h" | ||
| #include "paddle/fluid/framework/tensor_util.h" | ||
| #include "paddle/fluid/platform/device_context.h" | ||
| #include "paddle/fluid/platform/place.h" | ||
| #include "paddle/fluid/string/split.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| class Variable; | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| namespace paddle { | ||
| namespace imperative { | ||
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| void GLOOParallelContext::Init() { | ||
| // PADDLE_THROW(platform::errors::OutOfRange( | ||
| // "Still not implement Init")); | ||
| VLOG(4) << "Start GLOOParallelContext initialization"; | ||
| auto gloo_wrapper = framework::GlooWrapper::GetInstance(); | ||
| gloo_wrapper->SetSize(strategy_.nranks_); | ||
| gloo_wrapper->SetRank(strategy_.local_rank_); | ||
| gloo_wrapper->SetPrefix(""); | ||
| gloo_wrapper->SetIface("lo"); | ||
| auto addr = paddle::string::Split(strategy_.trainer_endpoints_[0], ':'); | ||
| VLOG(4) << "Server is" << strategy_.trainer_endpoints_[0]; | ||
| std::string host = addr[0]; | ||
| int port = std::stoi(addr[1]); | ||
| gloo_wrapper->SetHttpStore(host, port, "worker"); | ||
| gloo_wrapper->Init(); | ||
| device_ = std::unique_ptr<platform::CPUDeviceContext>( | ||
| new platform::CPUDeviceContext(platform::CPUPlace())); | ||
| } | ||
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| void GLOOParallelContext::InitWithRingID(int ring_id) { | ||
| PADDLE_THROW( | ||
| platform::errors::OutOfRange("Still not implement InitWithRingID")); | ||
| } | ||
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| #define GLOO_CASE(type, T, gw) \ | ||
| case type: { \ | ||
| VLOG(4) << "Use the gloo all reduce to sync. SRC:" << src_tensor; \ | ||
| std::vector<T> send_vector##T; \ | ||
| framework::TensorToVector<T>(src_tensor, &send_vector##T); \ | ||
| auto recv_vector##T = gw->AllReduce<T>(send_vector##T); \ | ||
| framework::TensorFromVector<T>(recv_vector##T, dst_tensor); \ | ||
| VLOG(4) << "DST:" << *dst_tensor; \ | ||
| break; \ | ||
| } | ||
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| void GLOOParallelContext::AllReduceByStream(const framework::Variable &src, | ||
| framework::Variable *dst, | ||
| int ring_id, bool use_calc_stream) { | ||
| // AllReduce(src, dst, strategy_, ring_id, use_calc_stream); | ||
| auto src_tensor = src.Get<framework::LoDTensor>(); | ||
| auto *dst_tensor = dst->GetMutable<framework::LoDTensor>(); | ||
| auto gloo_wrapper = framework::GlooWrapper::GetInstance(); | ||
| dst_tensor->Resize(src_tensor.dims()); | ||
| switch (src_tensor.type()) { | ||
| GLOO_CASE(framework::proto::VarType::FP32, float, gloo_wrapper); | ||
| GLOO_CASE(framework::proto::VarType::FP64, double, gloo_wrapper); | ||
| GLOO_CASE(framework::proto::VarType::INT32, int, gloo_wrapper); | ||
| GLOO_CASE(framework::proto::VarType::INT64, int64_t, gloo_wrapper); | ||
| default: { | ||
| PADDLE_THROW( | ||
| platform::errors::InvalidArgument("Invalid datatype for allreduce")); | ||
| } | ||
| } | ||
| gloo_wrapper->Barrier(); | ||
| } | ||
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| paddle::platform::DeviceContext *GLOOParallelContext::GetDeviceContext( | ||
| int ring_id) { | ||
| // return the CPUDeviceContext | ||
| return device_.get(); | ||
| } | ||
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| void GLOOParallelContext::WaitCompute(int ring_id) { | ||
| // do nothing because cpu don't need sync | ||
| return; | ||
| } | ||
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| void GLOOParallelContext::WaitComm(int ring_id) { | ||
| // do nothing because cpu don't need sync | ||
| return; | ||
| } | ||
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| void GLOOParallelContext::SynchronizeCompute() { | ||
| // do nothing because cpu don't need sync | ||
| return; | ||
| } | ||
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| } // namespace imperative | ||
| } // namespace paddle |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| // Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // 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 | ||
|
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| #include <memory> | ||
| #include <string> | ||
| #include <vector> | ||
| #include "paddle/fluid/imperative/parallel_context.h" | ||
| #include "paddle/fluid/platform/device_context.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| class Variable; | ||
| } // namespace framework | ||
| } // namespace paddle | ||
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| namespace paddle { | ||
| namespace imperative { | ||
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| class GLOOParallelContext : public ParallelContext { | ||
| public: | ||
| explicit GLOOParallelContext(const ParallelStrategy& strategy, | ||
| const platform::Place& place) | ||
| : ParallelContext(strategy, place) {} | ||
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| ~GLOOParallelContext() override = default; | ||
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| void Init() override; | ||
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| void InitWithRingID(int ring_id) override; | ||
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| void AllReduceByStream(const framework::Variable& src, | ||
| framework::Variable* dst, int ring_id, | ||
| bool use_calc_stream) override; | ||
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| paddle::platform::DeviceContext* GetDeviceContext(int ring_id) override; | ||
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| void WaitCompute(int ring_id) override; | ||
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| void WaitComm(int ring_id) override; | ||
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| void SynchronizeCompute() override; | ||
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| private: | ||
| std::unique_ptr<platform::CPUDeviceContext> device_; | ||
| }; | ||
|
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| } // namespace imperative | ||
| } // namespace paddle |
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