experimental/no_u_turn_sampler/nuts.py
def _has_no_u_turn(state_one, state_two, momentum):
  """If two given states and momentum do not exhibit a U-turn pattern."""
  dot_product = sum([
      tf.reduce_sum(input_tensor=(s1 - s2) * m)
      for s1, s2, m in zip(state_one, state_two, momentum)
  ])
  return dot_product > 0
def _has_no_u_turn(state_one, state_two, momentum):
  dot_product = sum([
      tf.reduce_sum(input_tensor=(s1 - s2) * m)
      for s1, s2, m in zip(state_one, state_two, momentum)
  ])
  return dot_product > 0
def _has_no_u_turn ( state_one , state_two , momentum ) : dot_product = sum ( [ tf . reduce_sum ( input_tensor = ( s1 - s2 ) * m ) for s1 , s2 , m in zip ( state_one , state_two , momentum ) ] ) return dot_product > 0
If two given states and momentum do not exhibit a U-turn pattern.
If two given states and momentum do not exhibit a U - turn pattern .