// 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 "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/lod_tensor.h" namespace paddle { namespace framework { namespace paddle2cinn { // Class to store the keys for compiling CINN. // // CINN cannot handle changable shape now, so CinnCompiler keeps a cache mapping // from CinnCacheKey to CinnCompiledObject. // // The CinnCacheKey contains a graph serialized string and the input tensor // shapes. class CinnCacheKey { public: CinnCacheKey(const ir::Graph& graph, const std::map& input_tensors, const std::string& arch_str); CinnCacheKey(const ir::Graph& graph, const std::map& input_shapes, const std::string& arch_str); ~CinnCacheKey() {} void SetKey(const ir::Graph& graph, const std::map& input_tensors, const std::string& arch_str); void SetKey(const ir::Graph& graph, const std::map& input_shapes, const std::string& arch_str); bool operator==(const CinnCacheKey& other) const; bool operator!=(const CinnCacheKey& other) const; struct Hash { static size_t hash_combine(size_t seed, size_t value); size_t operator()(const CinnCacheKey& key) const; }; private: size_t HashGraph(const ir::Graph& graph); std::string graph_serialize_str_; std::map input_shapes_; std::string arch_str_; }; } // namespace paddle2cinn } // namespace framework } // namespace paddle