tensorflow_probability/python/distributions/mixture.py
def _expand_to_event_rank(self, x):
    """Expand the rank of x up to static_event_rank times for broadcasting.

    The static event rank was checked to not be None at construction time.

    Args:
      x: A tensor to expand.
    Returns:
      The expanded tensor.
    """
    expanded_x = x
    for _ in range(tensorshape_util.rank(self.event_shape)):
      expanded_x = tf.expand_dims(expanded_x, -1)
    return expanded_x
def _expand_to_event_rank(self, x):
    expanded_x = x
    for _ in range(tensorshape_util.rank(self.event_shape)):
      expanded_x = tf.expand_dims(expanded_x, -1)
    return expanded_x
def _expand_to_event_rank ( self , x ) : expanded_x = x for _ in range ( tensorshape_util . rank ( self . event_shape ) ) : expanded_x = tf . expand_dims ( expanded_x , - 1 ) return expanded_x
Expand the rank of x up to static_event_rank times for broadcasting.

    The static event rank was checked to not be None at construction time.

    Args:
      x: A tensor to expand.
    Returns:
      The expanded tensor.
Expand the rank of x up to static_event_rank times for broadcasting .