Dev -> main #878
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Dev -> main #878
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…ture for fastmri, vit and criteo
It seems that the problem affecting the pytorch ogbg workloads (but only if they run for some length of time) has to do with jax/xla cpu compilation of the metrics computation. By converting the jax arrays to numpy, hopefully this can be avoided. The next step is to test on schedule free and shampoo, which I hope to do very soon.
The problem with torchrun and jax seems to be caused by jax.nn.sigmoid.
Changed from lambda expression which pylint doesn't like.
Defined np sigmoid inside use_pytorch_ddp
Added white space before and after sigmoid_np
…ions for future use
Update metrics.py - fix for ogbg pytorch
Switch from yapf/pylint/isort to ruff
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Dropout feature changes
Move formatting from yapf to ruff
OGBG OOM in metrics calculation fix