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

tensorflow::Env::Env()

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y

tf.contrib.graph_editor.ControlOutputs.update() Update the control outputs if the graph has changed.

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.graph_editor.Transformer.__call__(sgv, dst_graph, dst_scope, src_scope='', reuse_dst_scope=False) Execute the transformation

tf.contrib.distributions.Laplace.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.MultivariateNormalDiag.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.BernoulliWithSigmoidP.entropy(name='entropy') Shanon entropy in nats.