// Copyright (c) 2023 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. #include #include "paddle/ir/attribute.h" #include "paddle/ir/builtin_attribute.h" #include "paddle/ir/builtin_type.h" #include "paddle/ir/ir_context.h" #include "paddle/ir/operation.h" // This unittest is used to test the construction interfaces of value class and // operation. The constructed test scenario is: a = OP1(); b = OP2(); c = OP3(a, // b); d, e, f, g, h, i, j = OP4(a, c); ir::DictionaryAttribute CreateAttribute(std::string attribute_name, std::string attribute) { ir::IrContext *ctx = ir::IrContext::Instance(); ir::StrAttribute attr_name = ir::StrAttribute::get(ctx, attribute_name); ir::Attribute attr_value = ir::StrAttribute::get(ctx, attribute); std::map named_attr; named_attr.insert( std::pair(attr_name, attr_value)); return ir::DictionaryAttribute::get(ctx, named_attr); } TEST(value_test, value_test) { ir::IrContext *ctx = ir::IrContext::Instance(); // 1. Construct OP1: a = OP1() std::vector op1_inputs = {}; std::vector op1_output_types = {ir::Float32Type::get(ctx)}; ir::Operation *op1 = ir::Operation::create( op1_inputs, op1_output_types, CreateAttribute("op1_name", "op1_attr")); std::cout << op1->print() << std::endl; // 2. Construct OP2: b = OP2(); std::vector op2_inputs = {}; std::vector op2_output_types = {ir::Float32Type::get(ctx)}; ir::Operation *op2 = ir::Operation::create( op2_inputs, op2_output_types, CreateAttribute("op2_name", "op2_attr")); std::cout << op2->print() << std::endl; // 3. Construct OP3: c = OP3(a, b); std::vector op3_inputs = {op1->GetResultByIndex(0), op2->GetResultByIndex(0)}; std::vector op3_output_types = {ir::Float32Type::get(ctx)}; ir::Operation *op3 = ir::Operation::create( op3_inputs, op3_output_types, CreateAttribute("op3_name", "op3_attr")); std::cout << op3->print() << std::endl; // 4. Construct OP4: d, e, f, g, h, i, j = OP4(a, c); std::vector op4_inputs = {op1->GetResultByIndex(0), op3->GetResultByIndex(0)}; std::vector op4_output_types; for (size_t i = 0; i < 7; i++) { op4_output_types.push_back(ir::Float32Type::get(ctx)); } ir::Operation *op4 = ir::Operation::create( op4_inputs, op4_output_types, CreateAttribute("op4_name", "op4_attr")); std::cout << op4->print() << std::endl; // Test 1: EXPECT_EQ(op1->GetResultByIndex(0).GetDefiningOp(), op1); EXPECT_EQ(op2->GetResultByIndex(0).GetDefiningOp(), op2); EXPECT_EQ(op3->GetResultByIndex(0).GetDefiningOp(), op3); EXPECT_EQ(op4->GetResultByIndex(6).GetDefiningOp(), op4); // Test 2: op1_first_output -> op4_first_input ir::OpResult op1_first_output = op1->GetResultByIndex(0); ir::detail::OpOperandImpl *op4_first_input = reinterpret_cast( reinterpret_cast(op4) + sizeof(ir::Operation)); EXPECT_EQ(static_cast(op1_first_output).impl()->first_use(), op4_first_input); ir::detail::OpOperandImpl *op3_first_input = reinterpret_cast( reinterpret_cast(op3) + sizeof(ir::Operation)); EXPECT_EQ(op4_first_input->next_use(), op3_first_input); EXPECT_EQ(op3_first_input->next_use(), nullptr); // destroy std::cout << op1->GetResultByIndex(0).print_ud_chain() << std::endl; op4->destroy(); std::cout << op1->GetResultByIndex(0).print_ud_chain() << std::endl; op3->destroy(); std::cout << op1->GetResultByIndex(0).print_ud_chain() << std::endl; op2->destroy(); std::cout << op1->GetResultByIndex(0).print_ud_chain() << std::endl; op1->destroy(); }