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66 lines
2.1 KiB
66 lines
2.1 KiB
// Copyright (c) 2018 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 <unordered_set>
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#include <vector>
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#include "paddle/fluid/framework/lod_tensor_array.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/variable.h"
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namespace paddle {
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namespace framework {
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class LoDTensor;
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class Scope;
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} // namespace framework
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} // namespace paddle
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namespace paddle {
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namespace details {
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// Clean the TensorArray each batch to make the behavior the same with the
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// training phase.
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struct TensorArrayBatchCleaner {
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TensorArrayBatchCleaner() {
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constexpr auto kTensorId = framework::VarTypeTrait<framework::Tensor>::kId;
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constexpr auto kLoDTensorId =
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framework::VarTypeTrait<framework::LoDTensor>::kId;
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valid_types_.insert(kTensorId);
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valid_types_.insert(kLoDTensorId);
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}
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// Collect the variables that are not Tensor or LoDTensor, and reset them to a
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// bool(trick), because some of them are containers, and some operators just
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// keep inserting new items without clearing the containers first; So the
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// memory grow larger and larger in inference service deployed online.
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void CollectNoTensorVars(framework::Scope *scope);
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void ResetNoTensorVars();
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// Fix the tensor array not clear in the inference scenarios.
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void CollectTensorArrays(framework::Scope *scope);
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void ResetTensorArray();
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private:
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bool flag_{true};
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bool no_tensor_flag_{true};
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std::vector<framework::LoDTensorArray *> arrays_;
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std::unordered_set<int> valid_types_;
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std::unordered_set<framework::Variable *> no_tensor_vars_;
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};
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} // namespace details
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} // namespace paddle
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