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

tf.segment_min(data, segment_ids, name=None) Computes the minimum along segments of a tensor. Read

tf.FixedLenSequenceFeature.__getstate__() Exclude the OrderedDict from pickling

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

tf.contrib.distributions.ExponentialWithSoftplusLam.__init__(lam, validate_args=False, allow_nan_stats=True, name='ExponentialWithSoftplusLam')

tf.contrib.learn.monitors.SummarySaver.every_n_post_step(step, session) Callback after a step is finished or end()

class tf.errors.ResourceExhaustedError Some resource has been exhausted. For example, this error

tf.contrib.distributions.Multinomial.std(name='std') Standard deviation.

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.