tensorflow/compiler/mlir/lite/flatbuffer_to_mlir.cc

/* Copyright 2021 The TensorFlow 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 "llvm/Support/FormatVariadic.h"
#include "llvm/Support/InitLLVM.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SourceMgr.h"
#include "llvm/Support/ToolOutputFile.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/IR/Types.h"  // from @llvm-project
#include "mlir/IR/Value.h"  // from @llvm-project
#include "mlir/IR/Verifier.h"  // from @llvm-project
#include "mlir/Support/FileUtilities.h"  // from @llvm-project
#include "mlir/Translation.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/flatbuffer_import.h"

namespace mlir {
namespace TFL {
namespace {
static OwningModuleRef FlatBufferFileToMlirTranslation(
    llvm::SourceMgr* source_mgr, MLIRContext* context) {
  const llvm::MemoryBuffer* input =
      source_mgr->getMemoryBuffer(source_mgr->getMainFileID());
  std::string error;
  auto loc =
      mlir::FileLineColLoc::get(context, input->getBufferIdentifier(), 0, 0);
  std::vector<std::string> inputs;
  std::vector<std::string> outputs;
  return tflite::FlatBufferToMlir(
      absl::string_view(input->getBufferStart(), input->getBufferSize()),
      context, loc, false, inputs, outputs, false);
}

}  // namespace

std::string FlatBufferFileToMlir(const std::string& inputFilename) {
  // referred logic from mlir::mlirTranslateMain().
  int argc = 2;
  const char* argv_array[2];
  const char** argv = argv_array;
  argv[0] = "flatbuffer_to_mlir";
  argv[1] = inputFilename.c_str();
  llvm::InitLLVM y(argc, argv);

  std::string errorMessage;
  auto input = mlir::openInputFile(inputFilename, &errorMessage);
  if (!input) {
    llvm::errs() << errorMessage << "\n";
    return "";
  }

  mlir::MLIRContext context;
  context.printOpOnDiagnostic(true);
  llvm::SourceMgr sourceMgr;
  sourceMgr.AddNewSourceBuffer(std::move(input), llvm::SMLoc());

  OwningModuleRef module =
      FlatBufferFileToMlirTranslation(&sourceMgr, &context);
  if (!module || failed(verify(*module))) return "";

  std::string mlir_output;
  llvm::raw_string_ostream output_stream(mlir_output);
  // Dump MLIR with eliding large elements.
  module->print(
      output_stream,
      mlir::OpPrintingFlags().useLocalScope().elideLargeElementsAttrs());
  return mlir_output;
}

}  // namespace TFL
}  // namespace mlir