Instantiation distribution classes do not require passing in hard loc and scale 'tensors' right away, allowing for delayed execution. This allows for speedier runtime during the execution of the model. For example, @tf.function does not have to be commented out when integrated nsc into a TF-based model.
I believe this has been implemented now, although we are using special versions of the functions to avoid having to instantiate MultivariateCoupledNormal objects.
Instantiation distribution classes do not require passing in hard loc and scale 'tensors' right away, allowing for delayed execution. This allows for speedier runtime during the execution of the model. For example,
@tf.function
does not have to be commented out when integrated nsc into a TF-based model.