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paddlepaddle--paddle/paddle/fluid/distributed/collective/mpi_tools.cc
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/distributed/collective/mpi_tools.h"
#include "paddle/fluid/distributed/collective/common.h"
#include "paddle/fluid/distributed/collective/types.h"
namespace paddle {
namespace distributed {
namespace mpi {
MPI_Op ToMPIType(ReduceOp reduction) {
static const std::map<ReduceOp, MPI_Op> red_type = {
{ReduceOp::MIN, MPI_MIN},
{ReduceOp::MAX, MPI_MAX},
{ReduceOp::SUM, MPI_SUM},
{ReduceOp::PRODUCT, MPI_PROD},
};
auto it = red_type.find(reduction);
PADDLE_ENFORCE_EQ(it != red_type.end(),
true,
common::errors::InvalidArgument(
"Invalid mpi reduction. Must be MPI_MIN | MPI_MAX | "
"MPI_PROD | MPI_SUM."));
return it->second;
}
// NOTE: MPI does not support CUDA aware now.
bool CheckMpiCudaAware() { return false; }
void CheckValidInputs(const std::vector<DenseTensor>& tensors) {
PADDLE_ENFORCE_EQ(
tensors.size() == 1,
true,
common::errors::InvalidArgument("the inputs size of MPI must be 1!"));
PADDLE_ENFORCE_EQ(CheckTensorsInCudaPlace(tensors) && !CheckMpiCudaAware(),
false,
common::errors::InvalidArgument(
"Found CUDA Tensor. But CUDA-aware MPI not support!"));
}
} // namespace mpi
} // namespace distributed
} // namespace paddle