tf.contrib.rnn.LSTMBlockCell.__init__(num_units, forget_bias=1.0, use_peephole=False) Initialize the basic LSTM cell.

tf.TensorArray.size(name=None) Return the size of the TensorArray.

tf.inv(x, name=None) Computes the reciprocal of x element-wise. I.e., \(y = 1 / x\).

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

tf.contrib.framework.reduce_sum_n(tensors, name=None) Reduce tensors to a scalar sum. This reduces

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

class tf.FixedLenFeature Configuration for parsing a fixed-length input feature. To treat sparse

tf.matrix_determinant(input, name=None) Computes the determinant of one ore more square matrices. The

tf.contrib.distributions.BetaWithSoftplusAB.log_pdf(value, name='log_pdf') Log probability density function.

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.dtype