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65 lines
2.2 KiB
65 lines
2.2 KiB
/* Copyright (c) 2020 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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#include "paddle/fluid/operators/collective/barrier_op.h"
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#include <memory>
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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 "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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template <typename T>
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class BarrierOpCUDAKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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#if defined(PADDLE_WITH_NCCL)
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auto in = ctx.Input<framework::Tensor>("X");
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auto out = ctx.Output<framework::Tensor>("Out");
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auto place = ctx.GetPlace();
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ncclDataType_t dtype = platform::ToNCCLDataType(in->type());
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int64_t numel = in->numel();
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const void* sendbuff = in->data<void>();
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void* recvbuff = out->mutable_data<T>(place);
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int rid = ctx.Attr<int>("ring_id");
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auto comm = platform::NCCLCommContext::Instance().Get(rid, place);
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auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
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auto stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
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ncclRedOp_t nccl_red_type = ncclSum;
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PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclAllReduce(
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sendbuff, recvbuff, numel, dtype, nccl_red_type, comm->comm(), stream));
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auto comm_stream =
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platform::NCCLCommContext::Instance().Get(rid, place)->stream();
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PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(comm_stream));
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#else
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PADDLE_THROW(platform::errors::Unavailable(
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"PaddlePaddle should compile with NCCL."));
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#endif
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_CUDA_KERNEL(barrier, ops::BarrierOpCUDAKernel<int>);
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