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68 lines
2.2 KiB
68 lines
2.2 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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#pragma once
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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/ddim.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_GLOO)
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#include <gloo/allgather.h>
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#include "paddle/fluid/framework/fleet/gloo_wrapper.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 CAllGatherOpCPUKernel : 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_GLOO)
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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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framework::DDim out_dims = in->dims();
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auto place = ctx.GetPlace();
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auto gloo = paddle::framework::GlooWrapper::GetInstance();
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auto nranks = gloo->Size();
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out_dims[0] *= nranks;
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int64_t send_numel = in->numel();
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const T* send_buff = in->data<T>();
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T* recv_buff = out->mutable_data<T>(out_dims, place);
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PADDLE_ENFORCE_EQ(
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gloo->IsInitialized(), true,
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platform::errors::PreconditionNotMet(
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"You must initialize the gloo environment first to use it."));
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gloo::AllgatherOptions opts(gloo->GetContext());
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opts.setInput(const_cast<T*>(send_buff), send_numel);
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opts.setOutput(recv_buff, send_numel * nranks);
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gloo::allgather(opts);
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#else
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PADDLE_THROW(platform::errors::Unavailable(
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"PaddlePaddle should compile with GLOO by setting WITH_GLOO=ON"));
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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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