tf.contrib.distributions.MultivariateNormalCholesky.prob()

tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob')

Probability density/mass function (depending on is_continuous).

Additional documentation from _MultivariateNormalOperatorPD:

x is a batch vector with compatible shape if x is a Tensor whose shape can be broadcast up to either:

self.batch_shape + self.event_shape

or

[M1,...,Mm] + self.batch_shape + self.event_shape

Args:

• value: float or double Tensor.
• name: The name to give this op.

Returns:

• prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.