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Description
As there are multiple ways to speed up training a neural network in torch, it would be useful to have a vignette that summarizes how to get these speed improvements.
This includes:
- jit compilation
- cuda
- ignite optimizers
- data loading:
- pin_memory, non_blocking (https://pytorch.org/tutorials/intermediate/pinmem_nonblock.html?utm_source=chatgpt.com)
- parallelization (and what it does not (yet) solve)
shikokuchuo, mohamed-180, rdinnager, Leo-Lee15 and kbvernonjrosell
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