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paddlepaddle--paddle/paddle/fluid/inference/analysis/passes/memory_optimize_pass.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2018 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 <string>
#include <unordered_map>
#include <utility>
#include "paddle/common/enforce.h"
#include "paddle/fluid/inference/analysis/analysis_pass.h"
namespace paddle {
namespace framework {
namespace ir {
class Graph;
} // namespace ir
} // namespace framework
} // namespace paddle
namespace paddle {
namespace inference {
namespace analysis {
/* Memory optimization.
* We will perform the following operation:
* 1. Collect all var's lifetime.
* 2. Make reuse plan: the vars can be reused if there is no overlap(on
* lifetime) between them. The final plan is a mapping table in which the key
* represents the original name of var and the value in the table represents the
* current name of var.
* 3. Perform reuse plan: Replace all var's name in the model according to the
* mapping table.
*/
class MemoryOptimizePass : public AnalysisPass {
public:
using space_table_t = std::unordered_map<std::string, size_t>;
using lifecycle_t = std::pair<int, int>;
virtual ~MemoryOptimizePass() = default;
protected:
void RunImpl(Argument *argument) override;
private:
void CollectLifeCycle(
framework::ir::Graph *graph,
std::unordered_map<std::string, lifecycle_t> *lifecycles,
int sort_kind) const;
void CollectVarMemorySize(framework::ir::Graph *graph,
space_table_t *space_table) const;
public:
std::string repr() const override;
};
} // namespace analysis
} // namespace inference
} // namespace paddle