// Copyright (c) 2019 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. #pragma once #include #include #include #include #include #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/operators/controlflow/op_variant.h" #include "paddle/fluid/operators/recurrent_op.h" #include "paddle/fluid/string/string_helper.h" namespace paddle { namespace framework { class ProgramDesc; } // namespace framework } // namespace paddle namespace paddle { namespace operators { using OpVariantSet = std::unordered_set; using OpAndGradOpPair = std::pair; // Set vars to skip eager deletion on input recurrent and recurrent_grad for // preparing safe eager deletion. Input contains all recurrent and // recurrent_grad ops at block 0 and the function will find all recurrent and // recurrent_grad ops across blocks. void PrepareSafeEagerDeletionOnRecurrentOpAndRecurrentGradOp( const framework::ProgramDesc &program, OpAndGradOpPair *op_pair); // Set vars to skip eager deletion on input recurrent and recurrent_grad for // preparing safe eager deletion. The input block_id must be 0 and caller can // input all ops in the block. The function will find all recurrent and // recurrent_grad ops across blocks. void PrepareSafeEagerDeletionOnRecurrentOpAndRecurrentGradOp( const framework::ProgramDesc &program, int block_id, const std::vector> &all_ops); } // namespace operators } // namespace paddle