tf.IdentityReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

tf.ReaderBase.num_records_produced(name=None) Returns the number of records this reader has produced. This is the same as the number of Read executions that have succeeded. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

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

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.__exit__(exc_type, exc_value, traceback)

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

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.

tf.contrib.learn.LinearRegressor.bias_

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.

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