Hi,
I am new to pytorch and want to sample batch data from MultivariantNormal distribution because I would like to predict the correlation between my out put.
Previously I use the scale_tril (Cholesky decomposition) to generate the MultivariantNormal and worked quite good. However now I could not directly form up the Cholesky decomposition from my algorithm but instead get the full covariance matrix. I feed it to MultivariantNormal but the initialization of this MultivariantNormal would cause a super slow computation speed (because it has to firstly compute the Cholesky Decomposition from full covariance matrix).
So my question is how can I overcome this computation catastropy?
Thank you in advance,
Best,
Bruce.