Method assert_has_rank

tensorflow/python/framework/tensor_shape.py:985–995

Raises an exception if `self` is not compatible with the given `rank`. Args: rank: An integer. Raises: ValueError: If `self` does not represent a shape with the given `rank`.

(self, rank)

                         (self, other))

  def assert_has_rank(self, rank):
    """Raises an exception if `self` is not compatible with the given `rank`.

    Args:
      rank: An integer.

    Raises:
      ValueError: If `self` does not represent a shape with the given `rank`.
    """
    if self.rank not in (None, rank):
      raise ValueError("Shape %s must have rank %d" % (self, rank))

  def with_rank(self, rank):
    """Returns a shape based on `self` with the given rank.