tensorflow::Env::Env()

tf.contrib.distributions.NormalWithSoftplusSigma.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.distributions.Binomial.is_continuous

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.distributions.MultivariateNormalFull.pdf(value, name='pdf') Probability density function. Args:

tf.test.assert_equal_graph_def(actual, expected) Asserts that two GraphDefs are (mostly) the same.

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

A Session instance lets a caller drive a TensorFlow graph computation. When a Session is created with a given target, a new Session object is

tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs) Applies the same layer with the same arguments repeatedly

tf.contrib.graph_editor.SubGraphView.inputs The input tensors of this subgraph view.