// Copyright (c) 2021 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 #include #include #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/paddle2cinn/cinn_cache_key.h" #include "paddle/fluid/framework/paddle2cinn/cinn_compiled_object.h" #include "paddle/fluid/framework/scope.h" namespace paddle { namespace framework { namespace paddle2cinn { // Entrance to run CINN. // // CINN cannot handle changable shape now, so CinnRunner keeps a cache mapping // from CinnCacheKey to CinnCompiledObject. If cache hits, we will re-use cache // stored CinnCompiledObject, otherwise we will compile again and put into // cache. class CinnRunner { public: ~CinnRunner() {} // Singleton static std::shared_ptr GetInstance(); // Replace Paddle graph with some CINN subgraphs/ops void ReplaceWithCinn(ir::Graph* graph); // Feed LoDTensors to tun CINN compiled object and return fetched result std::map Run( const ir::Graph& graph, Scope* scope, std::map* feed_targets); private: CinnRunner() {} static std::once_flag get_instance_once_flag_; static std::shared_ptr instance_; std::unordered_map, CinnCacheKey::Hash> cache_; }; } // namespace paddle2cinn } // namespace framework } // namespace paddle