text: // 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 <llvm/Support/CommandLine.h>
  #include <mlir/Pass/PassManager.h>
  #include <iostream>
  #include <string>
  #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_converter_pass.h"
  #include "paddle/infrt/dialect/tensorrt/trt_op_teller_pass.h"
  #include "paddle/infrt/dialect/tensorrt/trt_type_convert_pass.h"
  
  #include "paddle/infrt/host_context/core_runtime.h"
  #include "paddle/infrt/host_context/kernel_registry.h"
  #include "paddle/infrt/host_context/mlir_to_runtime_translate.h"
  
  #include "paddle/infrt/kernel/basic_kernels.h"
  #include "paddle/infrt/kernel/control_flow_kernels.h"
  #include "paddle/infrt/kernel/tensor_kernels.h"
  #include "paddle/infrt/kernel/tensor_shape_kernels.h"
  #include "paddle/infrt/kernel/test_kernels.h"
  
  #include "paddle/infrt/kernel/tensorrt/registry.h"
  
  #ifdef INFRT_WITH_PHI
  #include "paddle/infrt/dialect/infrt/pass/infrt_op_fuse_pass.h"
  #include "paddle/infrt/dialect/phi/pass/phi_op_convert_pass.h"
  #include "paddle/infrt/kernel/phi/infershaped/infershaped_kernel_launchers.h"
  #include "paddle/infrt/kernel/phi/registry.h"
  #endif
  
  int main(int argc, char** argv) {
    static llvm::cl::opt<std::string> 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);
  
    infrt::host_context::KernelRegistry registry;
  
    ::infrt::kernel::RegisterBasicKernels(&registry);
    ::infrt::kernel::RegisterTestKernels(&registry);
    ::infrt::kernel::RegisterTensorShapeKernels(&registry);
    ::infrt::kernel::RegisterTensorKernels(&registry);
    ::infrt::kernel::RegisterControlFlowKernels(&registry);
  #ifdef INFRT_WITH_PHI
    ::infrt::kernel::RegisterPhiKernels(&registry);
    ::infrt::kernel::RegisterInferShapeLaunchers(&registry);
  #endif
  #if defined(INFRT_WITH_GPU) && defined(INFRT_WITH_TRT)
    ::infrt::kernel::RegisterTrtKernels(&registry);
  #endif
  
    context->loadAllAvailableDialects();
    module->dump();
    mlir::PassManager pm(context);
  
    mlir::OpPassManager& trt_pass_manager = pm.nest<mlir::FuncOp>();
    trt_pass_manager.addPass(std::make_unique<infrt::trt::TRTOpTellerPass>());
    trt_pass_manager.addPass(std::make_unique<infrt::trt::TRTGraphFusePass>());
    trt_pass_manager.addPass(std::make_unique<infrt::trt::TRTGraphSplitPass>(1));
    trt_pass_manager.addPass(std::make_unique<infrt::trt::TRTOpConverterPass>());
    trt_pass_manager.addPass(infrt::trt::createTrtTypeConvertPass());
    if (mlir::failed(pm.run(*module))) {
      std::cout << "\npass failed!\n" << std::endl;
      return 4;
    }
    module->dump();
    ::infrt::host_context::TestMlir(module.get(), &registry);
    return 0;
  }
  