tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.validate_args Python boolean indicated possibly expensive checks

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

tf.contrib.distributions.Poisson.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

tf.contrib.distributions.Binomial.is_continuous

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.distribution

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

tf.contrib.distributions.BernoulliWithSigmoidP.parameters Dictionary of parameters used by this Distribution.

TTypes< T, NDIMS >::Tensor tensorflow::Tensor::tensor()