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