// 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 #include #include #include #include #include #include "paddle/cinn/hlir/dialect/operator/ir/cinn_op.h" #include "paddle/cinn/hlir/dialect/operator/ir/op_attribute.h" #include "paddle/cinn/hlir/dialect/operator/ir/op_dialect.h" #include "paddle/cinn/hlir/framework/pir/compilation_task.h" #include "paddle/cinn/hlir/framework/pir/utils.h" #include "paddle/cinn/hlir/framework/pir_compiler.h" #include "paddle/fluid/pir/dialect/operator/ir/op_dialect.h" #include "paddle/fluid/pir/dialect/operator/ir/pd_api.h" #include "paddle/fluid/pir/dialect/operator/ir/pd_op.h" #include "paddle/pir/include/core/ir_context.h" #include "paddle/pir/include/core/program.h" using cinn::hlir::framework::pir::CompatibleInfo; using cinn::hlir::framework::pir::OpLoweringGroup; using cinn::hlir::framework::pir::OpLoweringGroupPtr; using ProgramInfo = std::tuple, std::vector>; ProgramInfo BuildProgram(std::vector input_shape) { ::pir::IrContext* ctx = ::pir::IrContext::Instance(); ctx->GetOrRegisterDialect(); auto program = std::make_shared<::pir::Program>(ctx); ::pir::Builder builder = ::pir::Builder(ctx, program->block()); const float value_one = 1.0; auto full_op_x = builder.Build( input_shape, value_one, phi::DataType::FLOAT32, phi::GPUPlace()); std::vector groups; const std::string fn_name = CompatibleInfo::GroupOpsName( std::initializer_list<::pir::Operation*>({full_op_x.operation()})); groups.emplace_back(std::make_shared( std::initializer_list<::pir::Operation*>({full_op_x.operation()}), fn_name)); groups.back()->mut_output_ops().insert(full_op_x.operation()); return {program, groups}; } // TODO(LiuYang): This test is temporarily // TEST(CompilationTask, Basic) { // auto prog_info = BuildProgram({4096, 128}); // std::shared_ptr<::pir::Program> program = std::get<0>(prog_info); // LOG(INFO) << program->block()->size(); // EXPECT_EQ(program->block()->size(), 1u); // std::stringstream ss; // program->Print(ss); // LOG(INFO) << ss.str(); // auto target = cinn::common::DefaultNVGPUTarget(); // auto scope = std::make_shared(); // std::vector groups = std::get<1>(prog_info); // CHECK_EQ(groups.size(), 1); // cinn::hlir::framework::GroupCompilationContext compilation_context( // target, groups[0], scope); // cinn::hlir::framework::CompilationTask // compilation_task(&compilation_context); compilation_task.Lowering(); // LOG(INFO) << compilation_context.PrintPredicate2Funcs(); // compilation_task.CodegenAndJit(); // auto instruction = compilation_task.BuildInstruction(); // } // TEST(CompilationTask, CompileGroup) { // // Step 1: Construct pir::Program // int M = 4096, N = 128; // auto prog_info = BuildProgram({M, N}); // std::shared_ptr<::pir::Program> program = std::get<0>(prog_info); // LOG(INFO) << program->block()->size(); // EXPECT_EQ(program->block()->size(), 1u); // std::stringstream ss; // program->Print(ss); // LOG(INFO) << ss.str(); // auto target = cinn::common::DefaultNVGPUTarget(); // auto scope = std::make_shared(); // std::vector groups = std::get<1>(prog_info); // CHECK_EQ(groups.size(), 1); // cinn::hlir::framework::PirCompiler ir_compiler(*program, target, scope); // auto runtime_program = ir_compiler.Build(groups); // // Step 3: Execute Runtime Instruction and check Scope. // ASSERT_NO_THROW(runtime_program->Execute()); // for (auto& var_name : scope->var_names()) { // std::string name = {var_name.begin(), var_name.end()}; // int64_t numel = scope->GetTensor(name)->shape().numel(); // ASSERT_EQ(numel, M * N); // std::vector data = // cinn::GetTensorData(scope->GetTensor(name), target); // for (int i = 0; i < numel; ++i) { // ASSERT_EQ(data[i], 1.0); // } // } // }