tf.cos(x, name=None) Computes cos of x element-wise. Args: x: A Tensor. Must be one of the following types: half, float32, float64, complex64, complex128. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

class tf.contrib.learn.monitors.SummaryWriterCache Cache for summary writers. This class caches summary writers, one per directory.

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if not is_continuous.

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

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.dtype

tf.QueueBase.dequeue(name=None) Dequeues one element from this queue. If the queue is empty when this operation executes, it will block until there is an element to dequeue. At runtime, this operation may raise an error if the queue is closed before or during its execution. If the queue is closed, the queue is empty, and there are no pending enqueue operations that can fulfil this request, tf.errors.OutOfRangeError will be raised. If the session is closed, tf.errors.CancelledError will be rais

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index]. Args: index: An integer scalar tensor that determines the input that gets selected. queues: A list of QueueBase objects. Returns: A QueueBase object. Raises: TypeError: When queues is not a list of QueueBase objects, or when the data types of queues are not all the same.

tf.contrib.distributions.Gamma.is_reparameterized

tf.contrib.training.SequenceQueueingStateSaver.name

tf.contrib.distributions.Exponential.dtype The DType of Tensors handled by this Distribution.