tf.contrib.distributions.WishartFull.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.contrib.framework.assign_from_checkpoint(model_path, var_list) Creates an operation to assign specific variables from a checkpoint

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

tf.nn.rnn_cell.BasicRNNCell.state_size

tf.foldr(fn, elems, initializer=None, parallel_iterations=10, back_prop=True, swap_memory=False, name=None) foldr on the list

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

tf.contrib.rnn.LayerNormBasicLSTMCell.__init__(num_units, forget_bias=1.0, input_size=None, activation=tanh, layer_norm=True, norm_gain=1.0, norm_shift=0.0, dropout_keep_prob=1

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf

tf.contrib.learn.monitors.GraphDump.begin(max_steps=None)

tf.contrib.distributions.Mixture.parameters Dictionary of parameters used by this Distribution.