tf.nn.rnn_cell.DropoutWrapper.state_size

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once.

class tf.contrib.distributions.InverseGamma The InverseGamma distribution with parameter alpha and beta.

tf.contrib.distributions.BetaWithSoftplusAB.a_b_sum Sum of parameters.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.dtype

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.std(name='std') Standard deviation.

tf.contrib.distributions.Mixture.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized

tf.image.grayscale_to_rgb(images, name=None) Converts one or more images from Grayscale to RGB. Outputs

tf.complex(real, imag, name=None) Converts two real numbers to a complex number. Given a tensor