tensorflow_probability/python/sts/regression.py
def _zero_dimensional_mvndiag(dtype):
  """Build a zero-dimensional MVNDiag object."""
  dummy_mvndiag = tfd.MultivariateNormalDiag(
      scale_diag=tf.ones([0], dtype=dtype))
  dummy_mvndiag.covariance = lambda: dummy_mvndiag.variance()[..., tf.newaxis]
  return dummy_mvndiag
def _zero_dimensional_mvndiag(dtype):
  """Build a zero-dimensional MVNDiag object."""
  dummy_mvndiag = tfd.MultivariateNormalDiag(
      scale_diag=tf.ones([0], dtype=dtype))
  dummy_mvndiag.covariance = lambda: dummy_mvndiag.variance()[..., tf.newaxis]
  return dummy_mvndiag
def _zero_dimensional_mvndiag ( dtype ) : dummy_mvndiag = tfd . MultivariateNormalDiag ( scale_diag = tf . ones ( [ 0 ] , dtype = dtype ) ) dummy_mvndiag . covariance = lambda : dummy_mvndiag . variance ( ) [ ... , tf . newaxis ] return dummy_mvndiag
Build a zero-dimensional MVNDiag object.
Build a zero - dimensional MVNDiag object .