tf.cholesky(input, name=None) Computes the Cholesky decomposition of one or more square matrices. The

tf.contrib.distributions.BernoulliWithSigmoidP.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.DirichletMultinomial.event_shape(name='event_shape') Shape of a single sample from a single batch as

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.mean(name='mean')

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

tf.contrib.distributions.ExponentialWithSoftplusLam.variance(name='variance') Variance.

tf.contrib.distributions.DirichletMultinomial.mean(name='mean') Mean.

tf.contrib.distributions.Bernoulli.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.LaplaceWithSoftplusScale.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='LaplaceWithSoftplusScale')