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

tf.contrib.distributions.Exponential.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.framework.assert_scalar_int(tensor) Assert tensor is 0-D, of type tf.int32 or tf.int64

tf.contrib.graph_editor.OpMatcher.input_ops(*args) Add input matches.

tf.contrib.learn.TensorFlowEstimator.get_params(deep=True) Get parameters for this estimator. Args:

tf.contrib.training.NextQueuedSequenceBatch.total_length The lengths of the original (non-truncated) unrolled examples.

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

tf.image.per_image_whitening(image) Linearly scales image to have zero mean and unit norm. This

tf.IdentityReader.__init__(name=None) Create a IdentityReader. Args:

tf.contrib.graph_editor.ph(dtype, shape=None, scope=None) Create a tf.placeholder for the Graph Editor. Note