tf.contrib.distributions.BetaWithSoftplusAB.batch_shape(name='batch_shape') Shape of a single sample from a single event index

tf.VarLenFeature.dtype Alias for field number 0

tf.reduce_join(inputs, reduction_indices, keep_dims=None, separator=None, name=None) Joins a string Tensor across the given dimensions

tf.ReaderBase.supports_serialize Whether the Reader implementation can serialize its state.

tf.contrib.training.NextQueuedSequenceBatch.sequences A dict mapping keys of input_sequences to split and rebatched

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.entropy(name='entropy')

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

tf.FixedLenFeature.__new__(_cls, shape, dtype, default_value=None) Create new instance of FixedLenFeature(shape, dtype, default_value)

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.sample_n(n, seed=None, name='sample_n') Generate n samples