Dynamo/AOTAutograd traceable flash attention #8654
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zpcore force-pushed the piz/autograde_trace branch from f82f373 to a8c8f47 Compare zpcore changed the title 
tengyifei added a commit to AI-Hypercomputer/torchprime that referenced this pull request Mar 17, 2025
We replace the `for` loop in both Llama and Mixtral with an equivalent `HomogenousSequential` layer, which can be either run a for loop or use `torch_xla`'s scan operator. This is a clean-ish way to turn scan on/off without cluttering the modeling code. I also adjusted Mixtral slightly so that we can even run `scan` in Mixtral with its static MoE implementation. Scanning over GMM on the other hand won't work until GMM forward/backward is wrapped in a custom op similar to pytorch/xla#8654. Test: added unit test. Next PR will change the trainer to apply scan.
tengyifei added a commit to AI-Hypercomputer/torchprime that referenced this pull request Mar 18, 2025
* Make models amenable to scan We replace the `for` loop in both Llama and Mixtral with an equivalent `HomogenousSequential` layer, which can be either run a for loop or use `torch_xla`'s scan operator. This is a clean-ish way to turn scan on/off without cluttering the modeling code. I also adjusted Mixtral slightly so that we can even run `scan` in Mixtral with its static MoE implementation. Scanning over GMM on the other hand won't work until GMM forward/backward is wrapped in a custom op similar to pytorch/xla#8654. Test: added unit test. Next PR will change the trainer to apply scan. * Address comments
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Resolves #8633