tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy(name='entropy')

tf.contrib.distributions.Chi2.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.value_type

tf.contrib.distributions.ExponentialWithSoftplusLam.sample(sample_shape=(), seed=None, name='sample') Generate samples of the

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

tf.contrib.distributions.BernoulliWithSigmoidP.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.LaplaceWithSoftplusScale.pdf(value, name='pdf') Probability density function.

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

tf.contrib.training.NextQueuedSequenceBatch.sequence_count An int32 vector, length batch_size: the sequence count

bool tensorflow::PartialTensorShape::IsFullyDefined() const Return true iff the rank and all of the dimensions are well defined