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75 lines
2.6 KiB
75 lines
2.6 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 "paddle/fluid/operators/collective/c_reducescatter_op.h"
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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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 CReduceScatterOpCUDAKernel : 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_CUDA) && !defined(_WIN32)
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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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int rid = ctx.Attr<int>("ring_id");
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auto place = ctx.GetPlace();
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auto comm = platform::NCCLCommContext::Instance().Get(rid, place);
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int nranks = comm->nranks();
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auto out_dims = in->dims();
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out_dims[0] = out_dims[0] / nranks;
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out->mutable_data<T>(out_dims, place);
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int64_t recv_numel = in->numel() / nranks;
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const T* send_buff = in->data<T>();
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T* recv_buff = out->data<T>();
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int dtype = platform::ToNCCLDataType(in->type());
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cudaStream_t stream = nullptr;
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if (ctx.Attr<bool>("use_calc_stream")) {
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auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
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stream = static_cast<platform::CUDADeviceContext*>(dev_ctx)->stream();
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} else {
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stream = comm->stream();
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}
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PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclReduceScatter(
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send_buff, recv_buff, recv_numel, static_cast<ncclDataType_t>(dtype),
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ncclSum, comm->comm(), stream));
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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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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_CUDA_KERNEL(c_reducescatter, ops::CReduceScatterOpCUDAKernel<float>,
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ops::CReduceScatterOpCUDAKernel<double>,
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ops::CReduceScatterOpCUDAKernel<int>,
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ops::CReduceScatterOpCUDAKernel<int64_t>,
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ops::CReduceScatterOpCUDAKernel<plat::float16>);
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