57 lines
2.0 KiB
C++
57 lines
2.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/distributed/collective/mpi_tools.h"
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#include "paddle/fluid/distributed/collective/common.h"
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#include "paddle/fluid/distributed/collective/types.h"
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namespace paddle {
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namespace distributed {
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namespace mpi {
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MPI_Op ToMPIType(ReduceOp reduction) {
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static const std::map<ReduceOp, MPI_Op> red_type = {
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{ReduceOp::MIN, MPI_MIN},
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{ReduceOp::MAX, MPI_MAX},
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{ReduceOp::SUM, MPI_SUM},
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{ReduceOp::PRODUCT, MPI_PROD},
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};
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auto it = red_type.find(reduction);
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PADDLE_ENFORCE_EQ(it != red_type.end(),
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true,
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common::errors::InvalidArgument(
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"Invalid mpi reduction. Must be MPI_MIN | MPI_MAX | "
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"MPI_PROD | MPI_SUM."));
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return it->second;
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}
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// NOTE: MPI does not support CUDA aware now.
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bool CheckMpiCudaAware() { return false; }
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void CheckValidInputs(const std::vector<DenseTensor>& tensors) {
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PADDLE_ENFORCE_EQ(
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tensors.size() == 1,
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true,
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common::errors::InvalidArgument("the inputs size of MPI must be 1!"));
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PADDLE_ENFORCE_EQ(CheckTensorsInCudaPlace(tensors) && !CheckMpiCudaAware(),
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false,
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common::errors::InvalidArgument(
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"Found CUDA Tensor. But CUDA-aware MPI not support!"));
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}
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} // namespace mpi
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} // namespace distributed
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} // namespace paddle
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