tf.contrib.distributions.NormalWithSoftplusSigma.event_shape()

tf.contrib.distributions.NormalWithSoftplusSigma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor. Args: name: name to give to the op Returns: event_shape: Tensor.

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.entropy(name='entropy')

tf.contrib.distributions.Chi2.df

tf.contrib.distributions.Chi2.df

tf.contrib.distributions.TransformedDistribution.name

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

tf.contrib.distributions.MultivariateNormalFull.variance()

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

tf.contrib.distributions.Gamma.alpha

tf.contrib.distributions.Gamma.alpha Shape parameter.

tf.contrib.distributions.Poisson.validate_args

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

tf.contrib.graph_editor.reroute_a2b_outputs()

tf.contrib.graph_editor.reroute_a2b_outputs(sgv0, sgv1) Re-route all the outputs of sgv0 to sgv1 (see _reroute_outputs).

tf.contrib.distributions.Gamma.name

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