// 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/ProcessGroupStream.h" namespace paddle { namespace distributed { ProcessGroupStream::ProcessGroupStream(int rank, int size, const platform::Place& place, int gid) : ProcessGroup(rank, size, place, gid) {} std::shared_ptr ProcessGroupStream::AllReduce( std::vector& input_tensors, // NOLINT std::vector& output_tensors, // NOLINT const AllreduceOptions& options, bool sync_op) { return AllReduce(input_tensors, output_tensors, options, sync_op, /*use_calc_stream*/ false); } std::shared_ptr ProcessGroupStream::AllReduce( std::vector& input_tensors, // NOLINT std::vector& output_tensors, // NOLINT const AllreduceOptions& options, bool sync_op, bool use_calc_stream) { PADDLE_THROW(platform::errors::InvalidArgument( "ProcessGroup%s does not support do allreduce", GetBackendName())); } std::shared_ptr ProcessGroupStream::Send( std::vector& tensors, int dst_rank, bool sync_op) { return Send(tensors, dst_rank, sync_op, /*use_calc_stream*/ false); } std::shared_ptr ProcessGroupStream::Send( std::vector& tensors, int dst_rank, bool sync_op, bool use_calc_stream) { PADDLE_THROW(platform::errors::InvalidArgument( "ProcessGroup%s does not support do send", GetBackendName())); } std::shared_ptr ProcessGroupStream::Send_Partial( phi::DenseTensor& tensors, int dst_rank, int offset, int length, bool sync_op) { return Send_Partial(tensors, dst_rank, offset, length, sync_op, /*use_calc_stream*/ false); } std::shared_ptr ProcessGroupStream::Send_Partial( phi::DenseTensor& tensors, int dst_rank, int offset, int length, bool sync_op, bool use_calc_stream) { PADDLE_THROW(platform::errors::InvalidArgument( "ProcessGroup%s does not support do send_partial", GetBackendName())); } std::shared_ptr ProcessGroupStream::Recv( std::vector& tensors, int src_rank, bool sync_op) { return Recv(tensors, src_rank, sync_op, /*use_calc_stream*/ false); } std::shared_ptr ProcessGroupStream::Recv( std::vector& tensors, int src_rank, bool sync_op, bool use_calc_stream) { PADDLE_THROW(platform::errors::InvalidArgument( "ProcessGroup%s does not support do recv", GetBackendName())); } std::shared_ptr ProcessGroupStream::Recv_Partial( phi::DenseTensor& tensors, int src_rank, int offset, int length, bool sync_op) { return Recv_Partial(tensors, src_rank, offset, length, sync_op, /*use_calc_stream*/ false); } std::shared_ptr ProcessGroupStream::Recv_Partial( phi::DenseTensor& tensors, int src_rank, int offset, int length, bool sync_op, bool use_calc_stream) { PADDLE_THROW(platform::errors::InvalidArgument( "ProcessGroup%s does not support do recv_partial", GetBackendName())); } } // namespace distributed } // namespace paddle