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