// Copyright (c) 2019 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 #include // NOLINT #include #include #include #include #include #include "ThreadPool.h" #include "paddle/fluid/framework/garbage_collector.h" #include "paddle/fluid/imperative/basic_engine.h" #include "paddle/fluid/imperative/jit/program_desc_tracer.h" #include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/platform/macros.h" namespace paddle { namespace imperative { using GarbageCollectorMap = std::map>; class UniqueNameGenerator { public: explicit UniqueNameGenerator(std::string prefix = "") : prefix_(prefix) {} std::string Generate(std::string key = "dygraph_tmp") { return prefix_ + key + "_" + std::to_string(id_++); } private: std::atomic id_{0}; std::string prefix_; }; class Tracer { DISABLE_COPY_AND_ASSIGN(Tracer); public: Tracer() : basic_engine_(new BasicEngine()), program_desc_tracer_(new jit::ProgramDescTracer()), generator_(new UniqueNameGenerator()) { expected_place_ = platform::CPUPlace(); } ~Tracer() = default; void TraceOp(const std::string& type, const NameVarBaseMap& ins, const NameVarBaseMap& outs, framework::AttributeMap attrs, const platform::Place& place, bool trace_bacward, const std::map& inplace_map = {}); void TraceOp(const std::string& type, const NameVarBaseMap& ins, const NameVarBaseMap& outs, framework::AttributeMap attrs, const std::map& inplace_map = {}); bool ComputeRequiredGrad(const NameVarBaseMap& ins, const NameVarBaseMap& outs, bool trace_backward); void SetEnableProgramDescTracing(bool enabled) { enable_program_desc_tracing_ = enabled; } bool IsProgramDescTracingEnabled() const { return enable_program_desc_tracing_; } jit::ProgramDescTracer* GetProgramDescTracer() { return program_desc_tracer_.get(); } // Note(Aurelius84): The `tmp` is used as prefix key while naming a temporary // intermediate var both in imperative and static mode. But the // `UniqueNameGenerator` in C++ and `unique_name.py` in Python doesn't share // the same auto-increment id. It will create a variable repeatedly with same // name like `tmp_0` in some cases when transform dygraph into static layers. // So we modify the default prefix key into `eager_tmp` to distinguish with // static graph. std::string GenerateUniqueName(std::string key = "dygraph_tmp") { return generator_->Generate(key); } BasicEngine* GetEngine() const { return basic_engine_.get(); } platform::Place ExpectedPlace() const { return expected_place_; } void SetExpectedPlace(platform::Place place); bool HasGrad() const { return has_grad_; } void SetHasGrad(bool has_grad) { has_grad_ = has_grad; } void SetEnableAutoCast(bool enabled) { enable_autocast_ = enabled; } bool IsAutoCastEnabled() const { return enable_autocast_; } paddle::framework::GarbageCollector* MutableGarbageCollectorIfNotExists( const platform::Place& place); private: std::unique_ptr basic_engine_; std::unique_ptr program_desc_tracer_; bool enable_program_desc_tracing_{false}; std::unique_ptr generator_; platform::Place expected_place_; bool has_grad_{true}; bool enable_autocast_{false}; GarbageCollectorMap gcs_; }; // To access static variable current_tracer const std::shared_ptr& GetCurrentTracer(); void SetCurrentTracer(const std::shared_ptr& tracer_); void IncreaseVarbaseReferenceCountUntilCopyComplete( const std::shared_ptr& var, const platform::Place& place); } // namespace imperative } // namespace paddle