Comments (2)
This n_jitted_steps
doesn't affect sample quality or likelihoods. No matter what n_jitted_steps
you set, you are running exactly the same training procedure. Specifically, you are jit-compiling multiple training steps to execute them together on GPUs/TPUs, and the number of training steps to jit together is given by n_jitted_steps
. A larger n_jitted_steps
can make training faster at the cost of more memory usage.
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Hi, Dr. Song, Thank you so much for the clear explanation. Totally understood.
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