class_docstr: Raised when an error occurs during model conversion.
class_docstr_tok: ["Raised","when","an","error","occurs","during","model","conversion","."]
code: def __init__(self, message):
      super(ConverterError, self).__init__(message)
      self.errors = []
      self._parse_error_message(message)
  
file_path: tensorflow/tensorflow/lite/python/convert_phase.py
imports: import collections
  import enum
  import functools
  from typing import Text
  from tensorflow.lite.python.metrics import converter_error_data_pb2
  from tensorflow.lite.python.metrics import metrics
label_desc: Use image node_id 1 to create a new ConverterError object from inherited base classes: Exception with example: obj = ConverterError(message)