tf.nn.rnn_cell.MultiRNNCell.__call__(inputs, state, scope=None) Run this multi-layer cell on inputs, starting from state.

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

tf.contrib.distributions.Laplace.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.bayesflow.entropy.entropy_shannon(p, z=None, n=None, seed=None, form=None, name='entropy_shannon') Monte Carlo or deterministic

tf.contrib.ffmpeg.decode_audio(contents, file_format=None, samples_per_second=None, channel_count=None) Create an op that decodes

tf.contrib.distributions.Beta.mode(name='mode') Mode. Additional documentation from Beta:

tf.contrib.distributions.WishartCholesky.scale_operator_pd Wishart distribution scale matrix as an OperatorPD.

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

tf.image.rot90(image, k=1, name=None) Rotate an image counter-clockwise by 90 degrees. Args:

tf.python_io.TFRecordWriter.write(record) Write a string record to the file. Args: