tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

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

tf.OpError.__str__()

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

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

tf.contrib.distributions.Distribution.mode(name='mode') Mode.

tf.contrib.metrics.streaming_recall_at_k(*args, **kwargs) Computes the recall@k of the predictions with respect to dense labels

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.clone(name=None, **dist_args)

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

tf.nn.rnn_cell.LSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args: