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Since in the code you use diagonal covariance matrix, MultivariateNormal deteriorates to Independent Normal.
The former distribution calculates cholesky decomposition, and it is extremely slow when the cov mat is low dimensional (e.g., 4x4), even on gpu.
However, it is quite fast using Independent Normal.
The text was updated successfully, but these errors were encountered:
Since in the code you use diagonal covariance matrix, MultivariateNormal deteriorates to Independent Normal.
The former distribution calculates cholesky decomposition, and it is extremely slow when the cov mat is low dimensional (e.g., 4x4), even on gpu.
However, it is quite fast using Independent Normal.
The text was updated successfully, but these errors were encountered: