fix: disable xformers for custom attention bias in GRPO training#489
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deepak-pradhan wants to merge 2 commits intoOpenPipe:mainfrom
Open
fix: disable xformers for custom attention bias in GRPO training#489deepak-pradhan wants to merge 2 commits intoOpenPipe:mainfrom
deepak-pradhan wants to merge 2 commits intoOpenPipe:mainfrom
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xformers with GQA (Grouped Query Attention) switches to 5D tensor format during gradient checkpointing when requires_grad=False. The cutlass backend doesn't support custom attention bias with 5D tensors, causing: "RuntimeError: Bias expected in BMHK format" Solution: Temporarily disable xformers during training to force the SDPA path, which always uses 4D tensors and properly supports custom attention bias for trajectory group/parent masking. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add type: ignore comments and explicit int() casts for model config attributes to pass pyright type checking in CI. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
RuntimeError: Bias expected in BMHK formatwhen using custom attention bias with GQA models (e.g., Mistral-7B) during GRPO trainingrequires_grad=False), but the cutlass backend doesn't support custom bias with 5D tensorsTest plan
loss=-0, grad_norm=43.1, policy_loss=-3.41e-8, entropy=6.31🤖 Generated with Claude Code