tf.contrib.distributions.WishartFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Gamma.pmf(value, name='pmf') Probability mass function. Args:

class tf.FixedLenSequenceFeature Configuration for a dense input feature in a sequence item. To

tf.nn.rnn_cell.OutputProjectionWrapper.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

tf.contrib.distributions.WishartCholesky.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.nn.rnn_cell.BasicRNNCell.__init__(num_units, input_size=None, activation=tanh)

void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const Fill *proto from *this.

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

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

tf.nn.rnn_cell.LSTMStateTuple.c Alias for field number 0