tensorflow_serving/experimental/tensorflow/ops/remote_predict/python/ops/remote_predict_ops.py [37:74]:
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        input_tensors,
        output_tensor_alias,
        target_address,
        model_name,
        model_version=-1,
        max_rpc_deadline_millis=3000,
        output_types=None,
        name=None,
        signature_name='serving_default'):
  """Runs a predict in remote process through rpc.

  Args:
    input_tensor_alias: input tensor alias for Predict
    input_tensors: input tensors for Predict
    output_tensor_alias: output tensor alias for Predict
    target_address: target_address where the rpc is sent to
    model_name: model_name that the Predict is running on
    model_version: the model version for the Predict call. If unset, the highest
      version available for serving will be targeted.
    max_rpc_deadline_millis: rpc deadline in millis
    output_types: output types for Predict
    name: name for the op in the graph
    signature_name: the signature def for remote graph inference

  Returns:
    output_tensors as a result of the Predict.

  Raises ValueError if model_name value is missing.
  """
  if model_name is None:
    raise ValueError('model_name must be specified.')
  return (gen_remote_predict_op.tf_serving_remote_predict(
      input_tensor_alias,
      input_tensors,
      output_tensor_alias,
      target_address=target_address,
      model_name=model_name,
      model_version=model_version,
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tensorflow_serving/experimental/tensorflow/ops/remote_predict/python/ops/remote_predict_ops.py [83:120]:
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                         input_tensors,
                         output_tensor_alias,
                         target_address,
                         model_name,
                         model_version=-1,
                         max_rpc_deadline_millis=3000,
                         output_types=None,
                         name=None,
                         signature_name='serving_default'):
  """Runs a predict in remote process through rpc.

  Args:
    input_tensor_alias: input tensor alias for Predict
    input_tensors: input tensors for Predict
    output_tensor_alias: output tensor alias for Predict
    target_address: target_address where the rpc is sent to
    model_name: model_name that the Predict is running on
    model_version: the model version for the Predict call. If unset, the highest
      version available for serving will be targeted.
    max_rpc_deadline_millis: rpc deadline in millis
    output_types: output types for Predict
    name: name for the op in the graph
    signature_name: the signature def for remote graph inference

  Returns:
    status_code, status_error_message and output_tensors.

  Raises ValueError if model_name value is missing.
  """
  if model_name is None:
    raise ValueError('model_name must be specified.')
  return (gen_remote_predict_op.tf_serving_remote_predict(
      input_tensor_alias,
      input_tensors,
      output_tensor_alias,
      target_address=target_address,
      model_name=model_name,
      model_version=model_version,
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