Method as_list

tensorflow/python/framework/tensor_shape.py:1161–1172

Returns a list of integers or `None` for each dimension. Returns: A list of integers or `None` for each dimension. Raises: ValueError: If `self` is an unknown shape with an unknown rank.

(self)

      raise ValueError("Shape %s is not fully defined" % self)

  def as_list(self):
    """Returns a list of integers or `None` for each dimension.

    Returns:
      A list of integers or `None` for each dimension.

    Raises:
      ValueError: If `self` is an unknown shape with an unknown rank.
    """
    if self._dims is None:
      raise ValueError("as_list() is not defined on an unknown TensorShape.")
    return [dim.value for dim in self._dims]

  def as_proto(self):
    """Returns this shape as a `TensorShapeProto`."""