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115 lines
3.6 KiB
115 lines
3.6 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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/*
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* This file defines the class Argument, which is the input and output of the
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* analysis module. All the fields that needed either by Passes or PassManagers
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* are contained in Argument.
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*
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* TODO(Superjomn) Find some way better to contain the fields when it grow too
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* big.
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*/
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#pragma once
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#include <string>
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/inference/analysis/data_flow_graph.h"
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#include "paddle/fluid/platform/variant.h"
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namespace paddle {
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namespace inference {
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namespace analysis {
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/*
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* The argument definition of both Pass and PassManagers.
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*
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* All the fields should be registered here for clearness.
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*/
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struct Argument {
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Argument() = default;
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explicit Argument(const std::string& fluid_model_dir)
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: fluid_model_dir(new std::string(fluid_model_dir)) {}
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// The directory of the trained model.
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std::unique_ptr<std::string> fluid_model_dir;
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// The path of `__model__` and `param`, this is used when the file name of
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// model and param is changed.
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std::unique_ptr<std::string> fluid_model_program_path;
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std::unique_ptr<std::string> fluid_model_param_path;
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// The graph that process by the Passes or PassManagers.
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std::unique_ptr<DataFlowGraph> main_dfg;
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// The original program desc.
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std::unique_ptr<framework::proto::ProgramDesc> origin_program_desc;
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// The processed program desc.
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std::unique_ptr<framework::proto::ProgramDesc> transformed_program_desc;
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// The output storage path of ModelStorePass.
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std::unique_ptr<std::string> model_output_store_path;
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// Support for any other attributes.
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template <typename T>
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void Set(const std::string& key, T* data) {
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PADDLE_ENFORCE_NOT_NULL(data);
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PADDLE_ENFORCE(!attrs_.count(key), "Duplicate set Argument's attr [%s]",
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key);
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attrs_[key] = data;
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attr_deleters_[key] = [data, key]() {
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VLOG(3) << "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
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VLOG(3) << "argument delete attr: " << key;
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delete data;
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};
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}
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bool Has(const std::string& name) const { return attrs_.count(name); }
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template <typename T>
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T* Release(const std::string& key) {
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PADDLE_ENFORCE(attrs_.count(key));
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auto* res = boost::any_cast<T*>(attrs_.at(key));
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attrs_.erase(key);
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attr_deleters_.erase(key);
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return res;
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}
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template <typename T>
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T& Get(const std::string& key) {
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PADDLE_ENFORCE(Has(key));
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return *boost::any_cast<T*>(attrs_.at(key));
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}
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~Argument() {
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for (auto& item : attr_deleters_) {
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item.second();
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}
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}
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private:
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std::unordered_map<std::string, boost::any> attrs_;
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std::unordered_map<std::string, std::function<void()>> attr_deleters_;
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};
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#define UNLIKELY(condition) __builtin_expect(static_cast<bool>(condition), 0)
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#define ANALYSIS_ARGUMENT_CHECK_FIELD(field__) \
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if (UNLIKELY(!(field__))) { \
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LOG(ERROR) << "field " << #field__ << " should be set."; \
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return false; \
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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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