tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalD

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.value_type

tf.contrib.distributions.StudentT.sigma Scaling factors of these Student's t distribution(s).

tf.contrib.distributions.WishartCholesky.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.learn.monitors.RunHookAdapterForMonitors.after_run(run_context, run_values)

tf.test.is_built_with_cuda() Returns whether TensorFlow was built with CUDA (GPU) support.

tf.contrib.distributions.StudentT.variance(name='variance') Variance. Additional documentation

tf.contrib.distributions.TransformedDistribution.inverse Inverse function of transform, y => x.

class tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor WishartFullTensor is a StochasticTensor

tf.test.main() Runs all unit tests.