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.
class_docstr_tok: ["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_latency(self, value):
      _gauge_conversion_latency.get_cell().set(value)
  
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 8 for calling the TFLiteMetrics obj's underlying member method code with example usage: obj.set_converter_latency(value) without return types