// Copyright (c) 2021 CINN 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 "paddle/cinn/ir/ir.h" #include "paddle/cinn/ir/ir_mutator.h" namespace cinn { namespace optim { struct TensorWriteTeller : public ir::IRMutator { //! Collect the write info in \p op. void Collect(const Expr* op) { Visit(op, op); } bool IsWrite(const std::string& tensor_name) const { return tensor_written.count(tensor_name); } private: std::set tensor_written; void Visit(const Expr* expr, const Expr* op) override { IRMutator::Visit(expr, op); } void Visit(const ir::Store* expr, const Expr* op) override { auto* node = op->As(); CHECK(node); auto* tensor = node->tensor.As(); CHECK(tensor); tensor_written.insert(tensor->name); IRMutator::Visit(expr, op); } void Visit(const ir::_Tensor_* op, const Expr* expr) override { auto* node = expr->As(); if (node->is_call_node()) { tensor_written.insert(node->name); } } }; } // namespace optim } // namespace cinn