collective_helper.cc 5.5 KB
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//   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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#if defined(PADDLE_WITH_NCCL)
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#include "paddle/fluid/platform/collective_helper.h"

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#include <memory>
#include <utility>
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#include "paddle/fluid/platform/dynload/nccl.h"

namespace paddle {
namespace platform {

class NCCLCommImpl : public NCCLComm {
 public:
  void set_ring_id(int ring_id) { ring_id_ = ring_id; }
  int ring_id() const override { return ring_id_; }

  void set_nranks(int nranks) { nranks_ = nranks; }
  int nranks() const override { return nranks_; }

  void set_rank(int rank) { rank_ = rank; }
  int rank() const override { return rank_; }

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  int device_id() const override {
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    return BOOST_GET_CONST(CUDAPlace, dev_ctx_->GetPlace()).device;
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  }
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  void set_comm(ncclComm_t comm) { comm_ = comm; }
  ncclComm_t comm() const override { return comm_; }
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  cudaStream_t stream() const override { return dev_ctx_->stream(); }

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  void set_dev_ctx(std::unique_ptr<CUDADeviceContext>&& dev_ctx) {
    dev_ctx_ = std::move(dev_ctx);
  }

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 private:
  int ring_id_;
  int nranks_;
  int rank_;
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  ncclComm_t comm_;
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  std::unique_ptr<CUDADeviceContext> dev_ctx_;
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};

NCCLComm* NCCLCommContext::CreateNCCLComm(ncclUniqueId* nccl_id, int nranks,
                                          int rank, int dev_id, int ring_id) {
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  PADDLE_ENFORCE_NOT_NULL(nccl_id,
                          platform::errors::InvalidArgument(
                              "The nccl unique id should not be null."));
  PADDLE_ENFORCE_GT(
      nranks, 1,
      platform::errors::InvalidArgument(
          "Expected nranks > 1. But received nranks is %d.", nranks));
  PADDLE_ENFORCE_GE(rank, 0,
                    platform::errors::InvalidArgument(
                        "Expected rank >= 0. But received rank is %d.", rank));
  PADDLE_ENFORCE_LT(
      rank, nranks,
      platform::errors::InvalidArgument(
          "Expected rank < nranks. But received rank is %d, nranks is %d.",
          rank, nranks));
  PADDLE_ENFORCE_GE(
      dev_id, 0,
      platform::errors::InvalidArgument(
          "Expected dev_id >= 0. But received dev_id is %d.", dev_id));
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  ncclComm_t comm = nullptr;
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  PADDLE_ENFORCE_CUDA_SUCCESS(cudaSetDevice(dev_id));
  PADDLE_ENFORCE_CUDA_SUCCESS(
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      platform::dynload::ncclCommInitRank(&comm, nranks, *nccl_id, rank));

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  auto* comm_wrapper = AssignNCCLComm(comm, nranks, rank, dev_id, ring_id);
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  VLOG(1) << "nccl communicator of rank " << rank << " in ring " << ring_id
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          << " has been created on device " << dev_id;
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  std::call_once(once_flag_, []() {
    std::atexit([]() { NCCLCommContext::Instance().ReleaseNCCLComms(); });
  });

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  return comm_wrapper;
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}

void NCCLCommContext::CreateAllNCCLComms(const std::vector<int>& dev_ids,
                                         int ring_id) {
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  PADDLE_ENFORCE_GT(
      dev_ids.size(), 0,
      platform::errors::InvalidArgument("Expected the size of dev_ids > 0. But "
                                        "received the size of dev_ids is %d.",
                                        dev_ids.size()));
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  const int kDevices = dev_ids.size();
  ncclComm_t comms[kDevices];
  PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclCommInitAll(
      comms, dev_ids.size(), dev_ids.data()));

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  PADDLE_ENFORCE_EQ(comm_map_.count(ring_id), 0,
                    platform::errors::InvalidArgument(
                        "Expected comm_map_.count(ring_id) = 0. But received "
                        "comm_map_.count(ring_id) is %d.",
                        comm_map_.count(ring_id)));
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  for (size_t i = 0; i < dev_ids.size(); ++i) {
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    AssignNCCLComm(comms[i], dev_ids.size(), i, dev_ids[i], ring_id);
    VLOG(1) << "nccl communicator of rank " << i << " in ring " << ring_id
            << " has been created on device " << dev_ids[i];
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  }

  std::call_once(once_flag_, []() {
    std::atexit([]() { NCCLCommContext::Instance().ReleaseNCCLComms(); });
  });
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}

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NCCLComm* NCCLCommContext::AssignNCCLComm(ncclComm_t comm, int nranks, int rank,
                                          int dev_id, int ring_id) {
  std::unique_ptr<CUDADeviceContext> dev_ctx(
      new CUDADeviceContext(CUDAPlace(dev_id)));

  NCCLCommImpl* c = new NCCLCommImpl;
  c->set_ring_id(ring_id);
  c->set_nranks(nranks);
  c->set_rank(rank);
  c->set_comm(comm);
  c->set_dev_ctx(std::move(dev_ctx));

  comm_map_mutex_.lock();
  if (comm_map_.count(ring_id) == 0) {
    comm_map_.emplace(ring_id, std::map<int, std::unique_ptr<NCCLComm>>());
  }
  auto& dev2comm = comm_map_[ring_id];

  dev2comm.emplace(dev_id, std::unique_ptr<NCCLComm>(c));
  comm_map_mutex_.unlock();

  if (ring_id == 0) {
    auto* dev_ctx = static_cast<platform::CUDADeviceContext*>(
        platform::DeviceContextPool::Instance().Get(
            platform::CUDAPlace(dev_id)));
    dev_ctx->set_nccl_comm(comm);
  }

  return comm_map_[ring_id][dev_id].get();
}

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void NCCLCommContext::ReleaseNCCLComms() {
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  for (auto& p : comm_map_) {
    for (auto& q : p.second) {
      q.second.reset();
    }
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  }
}

}  // namespace platform
}  // namespace paddle

#endif