tensorflow_probability/examples/disentangled_vae.py
def call(self, inputs):
    """Runs the model to generate multivariate normal distribution.

    Args:
      inputs: Unused.

    Returns:
      A MultivariateNormalDiag distribution with event shape
      [dimensions], batch shape [], and sample shape [sample_shape,
      dimensions].
    """
    del inputs  # unused
    with tf.compat.v1.name_scope(self._name):
      return tfd.MultivariateNormalDiag(self.loc, self.scale_diag)
def call(self, inputs):
    del inputs  # unused
    with tf.compat.v1.name_scope(self._name):
      return tfd.MultivariateNormalDiag(self.loc, self.scale_diag)
def call ( self , inputs ) : del inputs # unused with tf . compat . v1 . name_scope ( self . _name ) : return tfd . MultivariateNormalDiag ( self . loc , self . scale_diag )
Runs the model to generate multivariate normal distribution.

    Args:
      inputs: Unused.

    Returns:
      A MultivariateNormalDiag distribution with event shape
      [dimensions], batch shape [], and sample shape [sample_shape,
      dimensions].
Runs the model to generate multivariate normal distribution .