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ProcessGroupNCCL.h
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ProcessGroupNCCL.h
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// Copyright (c) 2022 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
#include <chrono>
#include <map>
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>
#include "paddle/fluid/distributed/collective/ProcessGroup.h"
#include "paddle/fluid/platform/cuda_device_guard.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/distributed/store/store.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/gen_comm_id_helper.h"
#include "paddle/fluid/platform/place.h"
#include "paddle/fluid/platform/stream/cuda_stream.h"
#if defined(PADDLE_WITH_NCCL)
#include "paddle/fluid/distributed/collective/NCCLTools.h"
#include "paddle/fluid/platform/dynload/nccl.h"
#endif
constexpr const char* NCCL_BACKEND_NAME = "NCCL";
namespace paddle {
namespace distributed {
using Place = paddle::platform::Place;
using CUDAStream = platform::stream::CUDAStream;
using CUDADeviceContext = paddle::platform::CUDADeviceContext;
class ProcessGroupNCCL : public ProcessGroup {
public:
class NCCLTask : public ProcessGroup::Task,
public std::enable_shared_from_this<NCCLTask> {
public:
NCCLTask(const std::vector<Place>& places, int rank, CommType CommType,
const std::vector<phi::DenseTensor>& inputs);
bool IsCompleted();
void SynchronizeStreams();
bool Wait(std::chrono::milliseconds timeout = kWaitTimeout);
void Synchronize();
void SetOutputs(std::vector<phi::DenseTensor>& outputs); // NOLINT
virtual ~NCCLTask();
std::vector<EventManager> control_events_;
std::vector<phi::DenseTensor> barrierTensors_;
protected:
std::vector<Place> places_;
std::vector<std::shared_ptr<NCCLCommManager>> ncclComms_;
std::shared_ptr<std::vector<phi::DenseTensor>> outputs_;
private:
};
ProcessGroupNCCL(const std::shared_ptr<Store>& store, int rank, int size,
const platform::Place& place, int gid);
const std::string GetBackendName() const override {
return std::string(NCCL_BACKEND_NAME);
}
std::shared_ptr<ProcessGroup::Task> AllReduce(
std::vector<phi::DenseTensor>& in_tensors,
std::vector<phi::DenseTensor>& out_tensors,
const AllreduceOptions& = AllreduceOptions()) override;
std::shared_ptr<ProcessGroup::Task> Broadcast(
std::vector<phi::DenseTensor>& in_tensors,
std::vector<phi::DenseTensor>& out_tensors,
const BroadcastOptions& = BroadcastOptions()) override;
std::shared_ptr<ProcessGroup::Task> Barrier(
const BarrierOptions& = BarrierOptions()) override;
std::shared_ptr<ProcessGroup::Task> Send(
std::vector<phi::DenseTensor>& tensors, int dst_rank) override;
std::shared_ptr<ProcessGroup::Task> Recv(
std::vector<phi::DenseTensor>& tensors, int src_rank) override;
std::shared_ptr<ProcessGroup::Task> AllGather(
std::vector<phi::DenseTensor>& in_tensors,
std::vector<phi::DenseTensor>& out_tensors) override;
std::shared_ptr<ProcessGroup::Task> AllToAll(
std::vector<phi::DenseTensor>& in,
std::vector<phi::DenseTensor>& out) override;
std::shared_ptr<ProcessGroup::Task> Reduce(
std::vector<phi::DenseTensor>& tensors,
std::vector<phi::DenseTensor>& out_tensors,
const ReduceOptions& opts) override;
std::shared_ptr<ProcessGroup::Task> Scatter(
std::vector<phi::DenseTensor>& in_tensors,
std::vector<phi::DenseTensor>& out_tensors,
const ScatterOptions&) override;
protected:
virtual std::shared_ptr<ProcessGroupNCCL::NCCLTask> CreateTask(
std::vector<Place> places, int rank, CommType opType,
const std::vector<phi::DenseTensor>& inputs);
protected:
std::shared_ptr<Store> store_;
std::shared_ptr<NCCLCommManager> nccl_comm_;
std::mutex mutex_;
std::unordered_map<std::string, std::vector<std::shared_ptr<NCCLCommManager>>>
places_to_ncclcomm_;
std::unordered_map<std::string, std::vector<EventManager>> places_to_events_;
std::unordered_map<std::string,
std::vector<std::unique_ptr<CUDADeviceContext>>>
places_to_ctx_;
std::set<int> used_place_ids_;
private:
void BcastNCCLId(std::vector<ncclUniqueId>& nccl_ids, int root, // NOLINT
int server_fd);
void BroadcastUniqueNCCLID(std::vector<ncclUniqueId>& nccl_ids); // NOLINT
template <typename Fn>
std::shared_ptr<ProcessGroup::Task> Collective(
std::vector<phi::DenseTensor>& inputs, // NOLINT
std::vector<phi::DenseTensor>& outputs, // NOLINT
Fn fn, CommType op_type);
template <typename Fn>
void Collective(const phi::DenseTensor*, phi::DenseTensor*, Fn fn,
CommType op_type);
template <typename Fn>
std::shared_ptr<ProcessGroup::Task> PointToPoint(
std::vector<phi::DenseTensor>& tensors, // NOLINT
Fn fn, int dst_rank, CommType op_type);
void CreateNCCLManagerCache(const std::string& places_key,
const std::vector<Place>& places);
};
} // namespace distributed
} // namespace paddle