wehub-resource-sync
121 lines
3.6 KiB
C++
121 lines
3.6 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 <algorithm>
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#include <atomic>
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#include <string>
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#include <unordered_map>
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#include <vector>
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#include "paddle/fluid/jit/property.pb.h"
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namespace paddle {
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namespace framework {
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class Variable;
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}
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namespace jit {
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using Variable = paddle::framework::Variable;
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class Property {
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public:
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Property() {}
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// Explicitly implement the copy constructor for auto parallel
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explicit Property(const Property &other)
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: property_(other.property_), original_id_(other.original_id_) {}
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Property &operator=(const Property &other) {
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property_ = other.property_;
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original_id_ = other.original_id_;
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return *this;
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}
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proto::PropertyVals *Proto() { return &property_; }
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const proto::PropertyVals *Proto() const { return &property_; }
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int Size() const;
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std::vector<std::string> Names() const;
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std::unordered_map<std::string, std::shared_ptr<Variable>> Values();
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void SetFloat(const float &f);
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void SetFloat(const std::string &name, const float &f);
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float GetFloat(const std::string &name) const;
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float GetFloat(const int &idx) const;
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void SetFloats(const std::vector<float> &v);
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void SetFloats(const std::string &name, const std::vector<float> &v);
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std::vector<float> GetFloats(const std::string &name);
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void SetInt64(const int64_t &i);
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void SetInt64(const std::string &name, const int64_t &i);
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int64_t GetInt64(const std::string &name);
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void SetInt64s(const std::vector<int64_t> &v);
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void SetInt64s(const std::string &name, const std::vector<int64_t> &v);
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std::vector<int> GetInt64s(const std::string &name);
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void SetString(const std::string &s);
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void SetString(const std::string &name, const std::string &s);
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std::string GetString(const std::string &name);
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void SetStrings(const std::vector<std::string> &v);
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void SetStrings(const std::string &name, const std::vector<std::string> &v);
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std::vector<std::string> GetStrings(const std::string &name);
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void Deserialization(const std::string &path);
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void Serialization(const std::string &path);
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// The Id() and OriginalId() are only used for auto parallel.
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uint64_t Id() const { return id_; }
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uint64_t OriginalId() const { return original_id_; }
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void SetOriginalId(uint64_t original_id) { original_id_ = original_id; }
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private:
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void DeserializationFromString(const std::string &str);
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std::string SerializationToString();
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private:
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proto::PropertyVals property_;
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// This thread-safe implementation seems to be redundant since the neural
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// networks are usually constructed in a single thread.
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static uint64_t GenerateId() {
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static std::atomic<std::uint64_t> uid{0};
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return ++uid;
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}
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// Note: the id_ is unique for all Property (only for auto parallel).
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uint64_t id_ = GenerateId();
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// Note: the original_id_ is used for referring to the original Property
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// that the current Property is built from (only for auto parallel).
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// The default original_id_ is same as the id_, which means the
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// current Property is not built from the other one.
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uint64_t original_id_ = id_;
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};
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} // namespace jit
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} // namespace paddle
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