class_docstr: TFLite metrics helper for prod (borg) environment.
  
  Attributes:
    model_hash: A string containing the hash of the model binary.
    model_path: A string containing the path of the model for debugging
      purposes.
code: def set_converter_error(
      self, error_data: converter_error_data_pb2.ConverterErrorData
  ):
      error_code_str = (
          converter_error_data_pb2.ConverterErrorData.ErrorCode.Name(
              error_data.error_code
          )
      )
      _gauge_conversion_errors.get_cell(
          error_data.component,
          error_data.subcomponent,
          error_data.operator.name,
          error_code_str,
      ).set(error_data.error_message)
  
imports: from typing import Optional, Text
  import uuid
  from tensorflow.lite.python.metrics import converter_error_data_pb2
  from tensorflow.lite.python.metrics import metrics_interface
  from tensorflow.lite.python.metrics.wrapper import metrics_wrapper
  from tensorflow.python.eager import monitoring
label_desc: Use image node_id 7 for calling the TFLiteMetrics obj's underlying member method code with example usage: obj.set_converter_error(error_data) without return types