tf.contrib.framework.get_graph_from_inputs(op_input_list, graph=None) Returns the appropriate graph to use for the given inputs

tf.contrib.distributions.Mixture.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.learn.monitors.GraphDump.step_begin(step)

tf.python_io.TFRecordWriter.close() Close the file.

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

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

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.dtype