tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.dtype

tf.contrib.distributions.TransformedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor. Args: name: name to give to the op Returns: event_shape: Tensor.

tf.contrib.distributions.TransformedDistribution.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor. The product of the dimensions of the batch_shape is the number of independent distributions of this kind the instance represents. Args: name: name to give to the op Returns: batch_shape: Tensor.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.dtype

tf.contrib.distributions.Normal.sigma Distribution parameter for standard deviation.

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.mean(name='mean')

Static helper routines for PartialTensorShape. Includes a few common predicates on a partially known tensor shape. Member Details string tensorflow::PartialTensorShapeUtils::PartialShapeListString(const gtl::ArraySlice< PartialTensorShape > &shapes) bool tensorflow::PartialTensorShapeUtils::AreCompatible(const gtl::ArraySlice< PartialTensorShape > &shapes0, const gtl::ArraySlice< PartialTensorShape > &shapes1)