tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape

tf.contrib.distributions.Poisson.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape() Shape of a single sample from a single event index as

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

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

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

tf.contrib.distributions.InverseGamma.log_pmf(value, name='log_pmf') Log probability mass function. Args:

int64 tensorflow::PartialTensorShape::dim_size(int d) const Returns the number of elements in dimension d. REQUIRES:

tf.contrib.distributions.Poisson.parameters Dictionary of parameters used by this Distribution.

class tf.nn.rnn_cell.LSTMStateTuple Tuple used by LSTM Cells for state_size, zero_state, and output