class tf.contrib.learn.ModeKeys Standard names for model modes. The following standard keys are

tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE:

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

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

tf.QueueBase.name The name of the underlying queue.

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

tf.contrib.distributions.Uniform.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.util.make_ndarray(tensor) Create a numpy ndarray from a tensor. Create a numpy ndarray

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

tf.contrib.learn.monitors.StepCounter.step_begin(step) Overrides BaseMonitor.step_begin. When