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82 lines
2.9 KiB
82 lines
2.9 KiB
/* Copyright (c) 2019 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 <algorithm>
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#include <utility>
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#include <vector>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#if defined(PADDLE_WITH_NCCL)
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#include "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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namespace paddle {
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namespace operators {
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template <typename T>
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class NCCLBroadcastOpKernel : 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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PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
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"The place of ExecutionContext should be CUDAPlace.");
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#if defined(PADDLE_WITH_NCCL)
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int dev_id = boost::get<platform::CUDAPlace>(ctx.GetPlace()).device;
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int root_dev_id = ctx.Attr<int>("root");
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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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PADDLE_ENFORCE(out->IsInitialized(),
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"Currently, the output of broadcast op must be initialized, "
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"because this op can only be an In-Place operation.");
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void* send_recv_buffer = out->mutable_data<T>(ctx.GetPlace());
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PADDLE_ENFORCE_EQ(
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send_recv_buffer, in->data<void>(),
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"Currently, the broadcast op can only be an In-Place operation.");
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auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
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auto comm = dev_ctx.nccl_comm();
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auto stream = dev_ctx.stream();
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PADDLE_ENFORCE(platform::dynload::ncclBcast(
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send_recv_buffer, static_cast<size_t>(in->numel()),
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platform::ToNCCLDataType(in->type()), root_dev_id, comm, stream));
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VLOG(3) << "Bcast " << ctx.InputNames("X")[0] << ", (" << in->numel() << ")"
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<< " From " << root_dev_id << " to " << dev_id;
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if (ctx.Attr<bool>("sync_mode")) {
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PADDLE_ENFORCE(cudaStreamSynchronize(stream));
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}
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#else
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PADDLE_THROW("PaddlePaddle should compile with GPU.");
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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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REGISTER_OP_CUDA_KERNEL(broadcast, ops::NCCLBroadcastOpKernel<float>,
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ops::NCCLBroadcastOpKernel<double>,
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ops::NCCLBroadcastOpKernel<int>,
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ops::NCCLBroadcastOpKernel<int64_t>,
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ops::NCCLBroadcastOpKernel<plat::float16>);
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