tf.contrib.framework.with_same_shape(expected_tensor, tensor) Assert tensors are the same shape, from the same graph.

tf.contrib.graph_editor.OpMatcher.output_ops(*args) Add output matches.

tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

tf.contrib.learn.monitors.StopAtStep.step_begin(step)

tf.contrib.distributions.Poisson.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When

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

class tf.contrib.training.NextQueuedSequenceBatch NextQueuedSequenceBatch stores deferred SequenceQueueingStateSaver data.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.name

tf.image.decode_png(contents, channels=None, dtype=None, name=None) Decode a PNG-encoded image to a uint8 or uint16 tensor.