def batch_shape_tensor(self):
    """Runtime batch shape of models represented by this component.

    Returns:
      batch_shape: `int` `Tensor` giving the broadcast batch shape of
        all model parameters. This should match the batch shape of
        derived state space models, i.e.,
        `self.make_state_space_model(...).batch_shape_tensor()`.
    """
    batch_shape = tf.constant([], dtype=tf.int32)
    for param in self.parameters:
      batch_shape = tf.broadcast_dynamic_shape(
          batch_shape, param.prior.batch_shape_tensor())
    return batch_shape
def batch_shape_tensor(self):
    
    batch_shape = tf.constant([], dtype=tf.int32)
    for param in self.parameters:
      batch_shape = tf.broadcast_dynamic_shape(
          batch_shape, param.prior.batch_shape_tensor())
    return batch_shape
def batch_shape_tensor ( self ) : batch_shape = tf . constant ( [ ] , dtype = tf . int32 ) for param in self . parameters : batch_shape = tf . broadcast_dynamic_shape ( batch_shape , param . prior . batch_shape_tensor ( ) ) return batch_shape
Runtime batch shape of models represented by this component.

    Returns:
      batch_shape: `int` `Tensor` giving the broadcast batch shape of
        all model parameters. This should match the batch shape of
        derived state space models, i.e.,
        `self.make_state_space_model(...).batch_shape_tensor()`.
Runtime batch shape of models represented by this component .