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This repository has been archived by the owner on Nov 7, 2024. It is now read-only.
Hi, I have a code in which the most computationally expensive part is the contraction of the whole network, that is composed by a number of tensors usually larger than 15/20. I am using the functions "contractors.auto" and the jax backend, but I notice that there is no parallelism. The code sees the GPU but its usage is always at 0%. On CPU the code uses just one core.
What are the best ways to speed up the computation?
Thank you very much,
Giuseppe
The text was updated successfully, but these errors were encountered:
Hi, I have a code in which the most computationally expensive part is the contraction of the whole network, that is composed by a number of tensors usually larger than 15/20. I am using the functions "contractors.auto" and the jax backend, but I notice that there is no parallelism. The code sees the GPU but its usage is always at 0%. On CPU the code uses just one core.
What are the best ways to speed up the computation?
Thank you very much,
Giuseppe
The text was updated successfully, but these errors were encountered: