onnx-mlir/src/MainUtils.cpp

//===--------------------------- main_utils.cpp ---------------------------===//
//
// Copyright 2019-2020 The IBM Research Authors.
//
// =============================================================================
//
// Functions for adding passes and processing input files.
//
//===----------------------------------------------------------------------===//

#include "src/MainUtils.hpp"
#include <fcntl.h>
#include <stdio.h>
#include <unistd.h>

using namespace std;
using namespace onnx_mlir;

void LoadMLIR(string inputFilename, mlir::MLIRContext &context,
              mlir::OwningModuleRef &module) {
  // Handle '.mlir' input to the ONNX MLIR frontend.
  // The mlir format indicates that one or more of the supported
  // representations are used in the file.
  llvm::ErrorOr<std::unique_ptr<llvm::MemoryBuffer>> fileOrErr =
      llvm::MemoryBuffer::getFileOrSTDIN(inputFilename);
  if (std::error_code EC = fileOrErr.getError()) {
    llvm::errs() << "Could not open input file: " << EC.message() << "\n";
    return;
  }

  // Parse the input mlir.
  llvm::SourceMgr sourceMgr;
  sourceMgr.AddNewSourceBuffer(std::move(*fileOrErr), llvm::SMLoc());
  module = mlir::parseSourceFile(sourceMgr, &context);
  if (!module) {
    llvm::errs() << "Error can't load file " << inputFilename << "\n";
    return;
  }
}

void EmitLLVMBitCode(
    const mlir::OwningModuleRef &module, string outputFilename) {
  error_code error;
  llvm::raw_fd_ostream moduleBitcodeStream(outputFilename, error,
                                           llvm::sys::fs::F_None);
  llvm::WriteBitcodeToFile(*mlir::translateModuleToLLVMIR(*module),
                           moduleBitcodeStream);
  moduleBitcodeStream.flush();
}

void registerDialects() {
  mlir::registerDialect<mlir::AffineDialect>();
  mlir::registerDialect<mlir::LLVM::LLVMDialect>();
  mlir::registerDialect<mlir::loop::LoopOpsDialect>();
  mlir::registerDialect<mlir::StandardOpsDialect>();
  mlir::registerDialect<mlir::ONNXOpsDialect>();
  mlir::registerDialect<mlir::KrnlOpsDialect>();
}

void addONNXToMLIRPasses(mlir::PassManager &pm) {
  pm.addPass(mlir::createDecomposeONNXToONNXPass());
  pm.addPass(mlir::createShapeInferencePass());
  pm.addPass(mlir::createCanonicalizerPass());
  pm.addPass(mlir::createShapeInferencePass());
  pm.addPass(mlir::createAttributePromotionPass());
}

void addONNXToKrnlPasses(mlir::PassManager &pm) {
  pm.addPass(mlir::createLowerToKrnlPass());
  // An additional pass of canonicalization is helpful because lowering
  // from ONNX dialect to Standard dialect exposes additional canonicalization
  // oppertunities.
  pm.addPass(mlir::createCanonicalizerPass());
}

void addKrnlToAffinePasses(mlir::PassManager &pm) {
  pm.addPass(mlir::createLowerKrnlPass());
}

void addKrnlToLLVMPasses(mlir::PassManager &pm) {
  pm.addPass(mlir::createLowerAffinePass());
  pm.addPass(mlir::createLowerToCFGPass());
  pm.addPass(mlir::createKrnlLowerToLLVMPass());
  pm.addPass(mlir::createCanonicalizerPass());
}

void processInputFile(string inputFilename, EmissionTargetType emissionTarget,
	mlir::MLIRContext &context, mlir::OwningModuleRef &module) {
  // Decide if the input file is an ONNX model or a model specified
  // in MLIR. The extension of the file is the decider.
  string extension = inputFilename.substr(inputFilename.find_last_of(".") + 1);
  bool inputIsONNX = (extension == "onnx");
  bool inputIsMLIR = (extension == "mlir");
  assert(inputIsONNX != inputIsMLIR &&
         "Either ONNX model or MLIR file needs to be provided.");

  
  if (inputIsONNX) {
    ImportFrontendModelFile(inputFilename, context, module);
  } else {
    LoadMLIR(inputFilename, context, module);
  }
}

void outputCode(
    mlir::OwningModuleRef &module, string filename, string extension) {
  // Start a separate process to redirect the model output. I/O redirection
  // changes will not be visible to the parent process.
  if (fork() == 0) {
    const char * tempFilename = (filename + extension).c_str();
    freopen(tempFilename, "w", stderr);
    module->dump();
    fclose(stderr);
    exit(0);
  }
}

void emitOutputFiles(string outputBaseName, EmissionTargetType emissionTarget,
    mlir::MLIRContext &context, mlir::OwningModuleRef &module) {
  // For EmitONNXIR and EmitMLIR the constant value are embedded in the code
  // thus making the code hard to read. These values can be elided by emitting
  // two versions of the same source code:
  // (1) a version with all the constant values included meant for being passed
  //     back to onnx-mlir for further processing and stored in:
  //
  //     <name>.onnx.mlir
  //
  // (2) a version without constants meant for being inspected by users and
  //     stored in:
  //
  //     <name>.mlir
  //
  // In the case of the LLVM Dialect IR the constant values are grouped
  // outside the function code at the beginning of the file in which case the
  // elision of these constants is not strictly required. Elision is also not
  // necessary when emitting the .bc file.
  if (emissionTarget == EmitLLVMBC) {
    // Write LLVM bitcode to disk.
    string outputFilename =  outputBaseName + ".bc";
    EmitLLVMBitCode(module, outputFilename);
    printf("LLVM bitcode written to %s\n", outputFilename.c_str());
  } else {
    // Emit the version with all constants included.
    outputCode(module, outputBaseName, ".onnx.mlir");
    printf("Full MLIR code written to: \n\t%s\n\n",
        (outputBaseName + ".onnx.mlir").c_str());

    // Apply specific passes to clean up the code where necessary.
    mlir::PassManager cleanSourcePM(&context);
    if (emissionTarget == EmitONNXIR || emissionTarget == EmitONNXBasic)
      cleanSourcePM.addPass(mlir::createElideConstantValuePass());
    if (emissionTarget == EmitMLIR)
      cleanSourcePM.addPass(mlir::createElideConstGlobalValuePass());

    if (emissionTarget == EmitONNXBasic || emissionTarget == EmitONNXIR ||
        emissionTarget == EmitMLIR) {
      if (mlir::failed(cleanSourcePM.run(*module)))
        llvm::errs() << "Could not apply simplification passes.\n";
      outputCode(module, outputBaseName, ".mlir");
      printf("Constant-free MLIR Code written to: \n\t%s\n\n",
          (outputBaseName + ".mlir").c_str());

      printf("Use:\n\t%s\nto continue lowering the code to other dialects.\n",
          (outputBaseName + ".onnx.mlir").c_str());
    }
  }
}