tf.contrib.rnn.AttentionCellWrapper.state_size

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value(name='value')

tf.contrib.distributions.Laplace.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

class tf.nn.rnn_cell.OutputProjectionWrapper Operator adding an output projection to the given cell. Note: in many cases it may be more efficient to not use this wrapper, but instead concatenate the whole sequence of your outputs in time, do the projection on this batch-concatenated sequence, then split it if needed or directly feed into a softmax.

tf.contrib.distributions.StudentT.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.

Status tensorflow::EnvWrapper::RegisterFileSystem(const string &scheme, FileSystemRegistry::Factory factory) override

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.distributions.Binomial.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.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.