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

tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

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

tf.contrib.distributions.Binomial.log_pmf(value, name='log_pmf') Log probability mass function. Args:

class tf.contrib.distributions.Beta Beta distribution. This distribution is parameterized by a

tf.contrib.layers.avg_pool2d(*args, **kwargs) Adds a 2D average pooling op. It is assumed that

tf.OpError.__str__()

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

tf.contrib.distributions.Chi2.is_continuous

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