class_docstr: Similar to TFLiteMetrics but specialized for converter.
  
  A unique session id will be created for each new TFLiteConverterMetrics.
code: def __init__(self) -> None:
      super(TFLiteConverterMetrics, self).__init__()
      session_id = uuid.uuid4().hex
      self._metrics_exporter = metrics_wrapper.MetricsWrapper(
          session_id
      )
      self._exported = False
  
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 1 to create a new TFLiteConverterMetrics object from inherited base classes: TFLiteMetrics with example: obj = TFLiteConverterMetrics()