tf.contrib.graph_editor.get_backward_walk_ops(seed_ops, inclusive=True, within_ops=None, stop_at_ts=(), control_inputs=False) Do

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

tf.image.hsv_to_rgb(images, name=None) Convert one or more images from HSV to RGB. Outputs a tensor

tf.contrib.learn.monitors.NanLoss.post_step(step, session)

tf.contrib.distributions.BetaWithSoftplusAB.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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

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

tf.contrib.distributions.Poisson.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

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