tf.contrib.metrics.aggregate_metric_map(names_to_tuples) Aggregates the metric names to tuple dictionary. This

tf.contrib.distributions.BetaWithSoftplusAB.event_shape(name='event_shape') Shape of a single sample from a single batch as a

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

tf.asin(x, name=None) Computes asin of x element-wise. Args:

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.crf.crf_log_likelihood(inputs, tag_indices, sequence_lengths, transition_params=None) Computes the log-likehood of

tf.contrib.crf.crf_log_norm(inputs, sequence_lengths, transition_params) Computes the normalization for a CRF.

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.entropy(name='entropy')

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat

tf.image.convert_image_dtype(image, dtype, saturate=False, name=None) Convert image to dtype, scaling