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Peteish13 #739

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Peteish13 #739

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dirkgr
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@dirkgr dirkgr commented Oct 21, 2024

  • Peteish13 configs
  • More options for torch.compile()
  • Apply compile() to one block at a time.
  • Fixes to run in the Google cloud
  • Scripts to run on the Augusta cluster

@dirkgr dirkgr marked this pull request as ready for review November 15, 2024 19:57
@@ -1036,6 +1036,10 @@ def eval(self) -> Dict[str, Any]:

del eval_batches

# Eval compiles a bunch more versions, and the result is terrible. This way we get back to zero.
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What do you that the result is terrible?

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so this prompted me to look into this a bit more and I think I've found a better solution: just mark the model input sizes as dynamic. I tested this out in OLMo-core and it appears to work well.
allenai/OLMo-core#105

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I think it compiles a bunch of versions for different batch sizes, because that's how we call it during eval, and then they stick around. In all of my early runs I had high tps until the first eval, and then low tps afterwards. This is what fixed it.

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I tried dynamic and it was bad. I don't remember the way in which it was bad, but it didn't work. That's why I added that version in the first place.

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Ok, oh well. I tested with nightly so maybe it's just better now with recent compiler advances.

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