Method add_inputs

tensorflow/lite/python/op_hint.py:428–444

Add a sequence of inputs to the function invocation. Args: *args: List of inputs to be converted (should be Tf.Tensor). **kwargs: This allows 'names' which should be a list of names. Returns: Wrapped inputs (identity standins that have additional metadata). These are

(self, *args, **kwargs)

    return self._outputs.add(*args, **kwargs)

  def add_inputs(self, *args, **kwargs):
    """Add a sequence of inputs to the function invocation.

    Args:
      *args: List of inputs to be converted (should be Tf.Tensor).
      **kwargs: This allows 'names' which should be a list of names.
    Returns:
      Wrapped inputs (identity standins that have additional metadata). These
      are also are also tf.Tensor's.
    """
    if "names" in kwargs:
      return [
          self._inputs.add(arg, name=name)
          for arg, name in zip(args, kwargs["names"])
      ]
    else:
      return [self._inputs.add(arg) for arg in args]

  def add_outputs(self, *args, **kwargs):
    """Add a sequence of outputs to the function invocation.