code: def _create_masks(degrees):
      """Returns a list of binary mask matrices enforcing autoregressivity."""
      return [
          # Create input->hidden and hidden->hidden masks.
          inp[:, np.newaxis] <= out
          for inp, out in zip(degrees[:-1], degrees[1:])
      ] + [
          # Create hidden->output mask.
          degrees[-1][:, np.newaxis]
          < degrees[0]
      ]
  
imports: import numpy
  import six
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math.numeric import clip_by_value_preserve_gradient
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 9 for calling a global function with example usage: _create_masks(degrees) and returns: unknown