tf.contrib.framework.get_local_variables(scope=None, suffix=None) Gets the list of model variables, filtered by scope and/or suffix. Args: scope: an optional scope for filtering the variables to return. suffix: an optional suffix for filtering the variables to return. Returns: a list of variables in collection with scope and suffix.

class tf.errors.AbortedError The operation was aborted, typically due to a concurrent action. For example, running a queue.enqueue() operation may raise AbortedError if a queue.close() operation previously ran.

class tf.contrib.bayesflow.stochastic_tensor.StudentTTensor StudentTTensor is a StochasticTensor backed by the distribution StudentT.

tf.contrib.distributions.MultivariateNormalFull.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss(final_loss, name='Loss')

tf.contrib.graph_editor.SubGraphView.__exit__(exc_type, exc_value, traceback)

tensorflow::EnvWrapper::EnvWrapper(Env *t) Initializes an EnvWrapper that delegates all calls to *t.

tf.contrib.distributions.Multinomial.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.

class tf.contrib.graph_editor.matcher Graph match class.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution