tf.contrib.learn.monitors.ExportMonitor.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name

tf.contrib.framework.assign_from_values_fn(var_names_to_values) Returns a function that assigns specific variables from the given

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

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.Dirichlet.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.contrib.learn.BaseEstimator.get_variable_names() Returns list of all variable names in this model.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes

tf.contrib.distributions.Gamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor