// 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. #include #include #include #include #include "paddle/infrt/common/global.h" #include "paddle/infrt/dialect/mlir_loader.h" #include "paddle/infrt/dialect/tensorrt/trt_graph_fuse_pass.h" #include "paddle/infrt/dialect/tensorrt/trt_graph_split_pass.h" #include "paddle/infrt/dialect/tensorrt/trt_op_teller_pass.h" int main(int argc, char** argv) { static llvm::cl::opt input_file( llvm::cl::Positional, llvm::cl::desc("Specify input filename"), llvm::cl::init("-")); llvm::cl::ParseCommandLineOptions(argc, argv); mlir::MLIRContext* context = infrt::Global::getMLIRContext(); auto module = infrt::dialect::LoadMlirFile(input_file.c_str(), context); module->dump(); mlir::PassManager pm(context); mlir::OpPassManager& trt_pass_manager = pm.nest(); trt_pass_manager.addPass(std::make_unique()); trt_pass_manager.addPass(std::make_unique()); trt_pass_manager.addPass(std::make_unique(10)); if (mlir::failed(pm.run(*module))) { std::cout << "\npass failed!\n" << std::endl; return 4; } module->dump(); return 0; }