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 increase_counter_interpreter_creation(self):
      _counter_interpreter_creation.get_cell("python").increase_by(1)
  
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 3 for calling the TFLiteMetrics obj's underlying member method code with example usage: obj.increase_counter_interpreter_creation() without return types