tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.distribution
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value_type
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.name
tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value(name='value')
tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.value_type
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