Add FlexAttention examples to SDPA tutorial #3674
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Add a new section demonstrating flex_attention from PyTorch 2.5: - Custom score_mod functions (relative position bias, ALiBi) - block_mask for sparse attention patterns (causal masking) - Combining score_mod and block_mask - Performance comparison with standard SDPA This extends the existing SDPA tutorial with practical examples of the flexible attention API for custom attention patterns. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3674
Note: Links to docs will display an error until the docs builds have been completed. ❗ 2 Active SEVsThere are 2 currently active SEVs. If your PR is affected, please view them below:
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Summary
flex_attentionfrom PyTorch 2.5score_modexamples: relative position bias and ALiBiblock_maskfor sparse attention patterns (causal masking)score_modandblock_maskTest plan
torch.compileworks as expectedChecklist