tf.contrib.distributions.Beta.a Shape parameter.

tf.contrib.distributions.Exponential.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous). Args: value: float or double Tensor. name: The name to give this op. Returns: log_prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.errors.AbortedError.__init__(node_def, op, message) Creates an AbortedError.

class tf.contrib.distributions.BaseDistribution Simple abstract base class for probability distributions. Implementations of core distributions to be included in the distributions module should subclass Distribution. This base class may be useful to users that want to fulfill a simpler distribution contract.

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

tf.SparseTensorValue.indices Alias for field number 0

virtual Status tensorflow::WritableFile::Append(const StringPiece &data)=0

class tf.contrib.training.SequenceQueueingStateSaver SequenceQueueingStateSaver provides access to stateful values from input. This class is meant to be used instead of, e.g., a Queue, for splitting variable-length sequence inputs into segments of sequences with fixed length and batching them into mini-batches. It maintains contexts and state for a sequence across the segments. It can be used in conjunction with a QueueRunner (see the example below). The SequenceQueueingStateSaver (SQSS) accep

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

class tf.errors.UnknownError Unknown error. An example of where this error may be returned is if a Status value received from another address space belongs to an error-space that is not known to this address space. Also errors raised by APIs that do not return enough error information may be converted to this error.