code: def _real_nvp_kwargs(self):
      def constant_shift_log_scale_fn(x0, output_units):
          del x0, output_units
          shift = tf.constant([0.1])
          log_scale = tf.constant([0.5])
          return shift, log_scale
  
      return {
          "shift_and_log_scale_fn": constant_shift_log_scale_fn,
          "is_constant_jacobian": True,
      }
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import real_nvp
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 1 for calling the ConstantShiftScaleTest obj's underlying member method code with example usage: obj._real_nvp_kwargs() and returns: dict, shift,  log_scale