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

tf.contrib.graph_editor.OpMatcher.__call__(op) Evaluate if the op matches or not.

tf.contrib.distributions.LaplaceWithSoftplusScale.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.InteractiveSession.__init__(target='', graph=None, config=None) Creates a new interactive TensorFlow session.

tf.contrib.metrics.streaming_mean_cosine_distance(predictions, labels, dim, weights=None, metrics_collections=None, updates_collections=None, name=None)

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.dtype

tf.contrib.framework.create_global_step(graph=None) Create global step tensor in graph. Args:

tf.nn.rnn_cell.BasicLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

tf.contrib.learn.monitors.PrintTensor.epoch_end(epoch) End epoch. Args:

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