tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.name

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.event_shape()

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor. Args: name: name to give to the op Returns: event_shape: Tensor.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.get_event_shape()

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.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.TFRecordReader.restore_state()

tf.TFRecordReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not all Readers support being restored, so this can produce an Unimplemented error. Args: state: A string Tensor. Result of a SerializeState of a Reader with matching type. name: A name for the operation (optional). Returns: The created Operation.

tf.errors.UnauthenticatedError

class tf.errors.UnauthenticatedError The request does not have valid authentication credentials. This exception is not currently used.

tf.TFRecordReader.__init__()

tf.TFRecordReader.__init__(name=None, options=None) Create a TFRecordReader. Args: name: A name for the operation (optional). options: A TFRecordOptions object (optional).

tf.FixedLengthRecordReader.read_up_to()

tf.FixedLengthRecordReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader. Will dequeue a work unit from queue if necessary (e.g., when the Reader needs to start reading from a new file since it has finished with the previous file). It may return less than num_records even before the last batch. Args: queue: A Queue or a mutable string Tensor representing a handle to a Queue, with string work items. num_records: Number of records t

tf.contrib.distributions.DirichletMultinomial.mode()

tf.contrib.distributions.DirichletMultinomial.mode(name='mode') Mode.

tf.contrib.distributions.Normal.mu

tf.contrib.distributions.Normal.mu Distribution parameter for the mean.

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name