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

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

tf.contrib.learn.monitors.CaptureVariable.set_estimator(estimator) A setter called automatically by the target estimator. If the estimator is locked, this method does nothing. Args: estimator: the estimator that this monitor monitors. Raises: ValueError: if the estimator is None.

tf.contrib.framework.is_tensor(x) Check for tensor types. Check whether an object is a tensor. Equivalent to isinstance(x, [tf.Tensor, tf.SparseTensor, tf.Variable]). Args: x: An python object to check. Returns: True if x is a tensor, False if not.

tf.contrib.distributions.Categorical.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.nn.rnn_cell.BasicLSTMCell.state_size

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

tf.FixedLenFeature.default_value Alias for field number 2

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