text: #!/usr/bin/env python
  
  # Copyright (C) 2018-2021 Intel Corporation
  # SPDX-License-Identifier: Apache-2.0
  
  """Converts protobuf files from binary message format into prototxt format and vice-versa.
  
  Supports files with only '.onnx' or '.prototxt' extensions. Application may accept only single
  argument denoting input file. In that case it converts it to the second message format based on the
  extension of argument.
  
  Usage:
    onnx_prototxt_converter.py INPUT_FILE [OUTPUT_FILE]
  
  Arguments:
    INPUT_FILE   The path for the input model file.
    OUTPUT_FILE  The path for the converted model file.
  
  Options:
    -h --help            show this help message and exit
  """
  
  
  from docopt import docopt
  from google.protobuf import text_format
  import onnx
  from onnx.external_data_helper import convert_model_to_external_data
  import os
  
  ONNX_SUFFX = '.onnx'
  PROTOTXT_SUFFX = '.prototxt'
  
  def _bin2txt(model):
      return text_format.MessageToString(model, as_utf8=True, float_format='.17g')
  
  def _txt2bin(model):
      m_proto = onnx.ModelProto()
      text_format.Parse(model, m_proto, allow_field_number=True)
      return m_proto
  
  def _is_bin_file(path):
      # check file extension
      return os.path.splitext(path)[1] == ONNX_SUFFX
  
  def _is_txt_file(path):
      # check file extension
      return os.path.splitext(path)[1] == PROTOTXT_SUFFX
  
  _ext_map = {
      '.onnx': '.prototxt',
      '.prototxt': '.onnx',
  }
  
  def _get_output_file_path(path, extension):
      return path + _ext_map[extension]
  
  
  def save_model(proto, f, format=None, save_as_external_data=False, all_tensors_to_one_file=True, location=None, size_threshold=1024, convert_attribute=False):
      if isinstance(proto, bytes):
          proto = onnx._deserialize(proto, onnx.ModelProto())
  
      if save_as_external_data:
          convert_model_to_external_data(proto, all_tensors_to_one_file, location, size_threshold, convert_attribute)
  
      s = onnx._serialize(proto)
      onnx._save_bytes(s, f)
  
  
  if __name__ == '__main__':
      args = docopt(__doc__)
      input_file_path = args['INPUT_FILE']
      if not args['OUTPUT_FILE']:
          output_file_path = _get_output_file_path(*os.path.splitext(input_file_path))
      else:
          output_file_path = args['OUTPUT_FILE']
  
      if not os.path.exists(input_file_path):
          sys.exit('ERROR: Provided input model path does not exists: {}'.format(input_file_path))
  
      # convert from binary format to text format
      if _is_bin_file(input_file_path) and _is_txt_file(output_file_path):
          str_msg = _bin2txt(onnx.load_model(input_file_path))
          with open(output_file_path, 'w') as f:
              f.write(str_msg)
      # convert from text format to binary format
      elif _is_txt_file(input_file_path) and _is_bin_file(output_file_path):
          with open(input_file_path, 'r') as f:
              converted_model = _txt2bin(f.read())
          save_model(converted_model, output_file_path)
      else:
          sys.exit('ERROR: Provided input or output file has unsupported format.')
  