BLT: vectorize patch length processing#47385
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Rocketknight1 merged 1 commit intoJul 21, 2026
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[For maintainers] Suggested jobs to run (before merge) run-slow: blt |
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Rocketknight1
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Yeah, this looks like a clean vectorization optimization to me!
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run-slow: blt |
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This comment contains models: ["models/blt"] |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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* upstream/main: (39 commits) Remove deprecated training args and `is_fast` property (huggingface#46917) Consistent output shape from `get_image_features` (huggingface#46405) Fix multi-device mxfp4 dequantization race in `_convert_moe_packed_tensors` (huggingface#47423) fix failed test cases for qwen3_omni_moe model (huggingface#47449) Fix Hunyuan-VL PIL image resize parity with reference preprocessing (huggingface#47233) Move `value` padding into the attention interfaces that need it (huggingface#47451) Simplify function dispatch for linear attention (huggingface#47450) [cache] Allow sliding window layers to be roll-backed for speculative decoding (huggingface#47447) Fix double-shifted training loss in GitForCausalLM (huggingface#47395) Fix CohereASR training-loss double-shift (same as Moonshine fix huggingface#46784) (huggingface#46895) Warn when `group_by_length` is silently ignored for iterable datasets (huggingface#47379) Update bug report list (huggingface#46607) Fix shape mismatch in KyutaiSpeechToText `generate()` last window (huggingface#46952) Optimize flash attention max seqlen computation in vision attention (huggingface#47170) fix: remove unreachable return in special token builder (huggingface#47420) Add Harry to slow CI (huggingface#47454) BLT: vectorize patch length processing (huggingface#47385) Fix `TrackioCallback` fails to log evaluation metrics after training ends (huggingface#46935) [Kimi] add integration tests (huggingface#47383) Fix typo in `MusicgenForCausalLM.generate()` (huggingface#46974) ...
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Summary
process_patch_lengthsiterated over GPU tensors in Python and called.item()for every positive patch length. This can synchronize the host with the device repeatedly during BLT inference.The implementation now performs chunk counting, segment construction, padding, and compaction with tensor operations. The generated
modeling_blt.pycopy is updated frommodular_blt.py, and a regression test covers uneven patch lengths and zero padding.Related issue
Addresses #42422.
Verification
ruff checkon all changed Python filesruff format --checkafter formattingpy_compileon implementation and test files