tf.contrib.distributions.StudentT.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.distributions.Chi2WithAbsDf.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.

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

Status tensorflow::EnvWrapper::GetRegisteredFileSystemSchemes(std::vector< string > *schemes) override Returns the file system schemes registered for this Env .

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

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.entropy(name='entropy')

class tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor BernoulliWithSigmoidPTensor is a StochasticTensor backed by the distribution BernoulliWithSigmoidP.

tf.train.batch(tensors, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None) Creates batches of tensors in tensors. The argument tensors can be a list or a dictionary of tensors. The value returned by the function will be of the same type as tensors. This function is implemented using a queue. A QueueRunner for the queue is added to the current Graph's QUEUE_RUNNER collection. If enqueue_many i

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.