// Copyright (c) 2024 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 "paddle/ap/include/adt/adt.h" #include "paddle/ap/include/axpr/value.h" #include "paddle/ap/include/drr/op_pattern_ctx.h" #include "paddle/ap/include/drr/tags.h" #include "paddle/ap/include/drr/tensor_pattern_ctx.h" #include "paddle/ap/include/drr/type.h" #include "paddle/ap/include/graph/node_arena.h" namespace ap::drr { struct SourcePatternCtxImpl { std::shared_ptr> node_arena; OpPatternCtx op_pattern_ctx; TensorPatternCtx tensor_pattern_ctx; bool operator==(const SourcePatternCtxImpl& other) const { return this == &other; } }; ADT_DEFINE_RC(SourcePatternCtx, SourcePatternCtxImpl); axpr::TypeImpl> GetSourcePatternCtxClass(); template <> struct Type : public std::monostate { using std::monostate::monostate; const char* Name() const { return "SourcePatternCtx"; } static axpr::TypeImpl> GetClass() { return GetSourcePatternCtxClass(); } }; } // namespace ap::drr