tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.input_dict

DataType tensorflow::Tensor::dtype() const Returns the data type.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.variance(name='variance') Variance.

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

tf.contrib.distributions.Gamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='Gamma') Construct Gamma

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.dtype

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.variance(name='variance') Variance.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.clone(name=None, **dist_args)