wehub-resource-sync
112 lines
3.4 KiB
C++
112 lines
3.4 KiB
C++
// Copyright (c) 2022 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 "paddle/fluid/framework/ir/fuse_pass_base.h"
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#include "paddle/fluid/framework/ir/node.h"
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#include "paddle/phi/common/backend.h"
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#include "paddle/phi/common/data_type.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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class AutoMixedPrecisionPass : public FusePassBase {
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public:
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using VarType = framework::proto::VarType;
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public:
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AutoMixedPrecisionPass() = default;
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~AutoMixedPrecisionPass() = default;
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protected:
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void ApplyImpl(Graph* graph) const override;
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private:
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void Init(Graph* graph) const;
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void SetDefaultBlacklist() const;
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void SetOpUniqueType() const;
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void RestoreOpOriginType() const;
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inline std::string GetOpOriginalType(const std::string& op_type) const;
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void GetOpPrecision() const;
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void UpdateOpPrecision() const;
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void InsertCastOp() const;
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void ProcessOpWithDtypeAttr() const;
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bool InputVarsNotConvert(Node* op_node, const std::string& var_name) const;
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bool OutputVarsNotConvert(Node* op_node, const std::string& var_name) const;
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void SetVarPrecision() const;
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void ConvertWeightsData() const;
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private:
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mutable bool skip_pass_{false};
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mutable bool enable_low_precision_io_{false};
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// float16 or bfloat16 now
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mutable DataType low_precision_{DataType::UNDEFINED};
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mutable phi::Backend backend_{phi::Backend::UNDEFINED};
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mutable std::unordered_set<std::string> black_list_;
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mutable std::unordered_set<std::string> white_list_;
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// subgraph id -> pointer to subgraph
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mutable std::vector<Graph*> subgraphs_;
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// var name -> real var node
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mutable std::unordered_map<std::string, std::vector<Node*>> real_vars_;
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// subgraph id -> all op nodes in subgraph
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mutable std::vector<std::vector<Node*>> all_op_nodes_;
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// op's unique type -> the op's origin type
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mutable std::unordered_map<std::string, std::string> op_original_type_;
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// op's unique type -> whether the op run at low precision
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mutable std::unordered_set<std::string> op_run_low_precision_;
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mutable std::unordered_set<std::string> vars_convert_to_low_precision_;
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};
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bool OpSupportPrecision(const std::string& op_type,
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phi::Backend backend,
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DataType precision,
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const std::unordered_set<std::string>& black_list,
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const std::unordered_set<std::string>& white_list);
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void DoInsertCastOp(Graph* graph,
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Node* var_node,
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Node* op_node,
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proto::VarType::Type from_type,
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proto::VarType::Type to_type,
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framework::BlockDesc* block_desc,
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int* suffix,
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std::unordered_map<Node*, Node*>* cache);
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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