Claude a8b16da5da fix(CRITICAL): remove xformers patches — Sub168 proves base ixformer attention works at 11.9 TPS, our patches reduced to 2.6 TPS
Root cause of Sub 520 output_tps=2.6 (vs Sub 168 output_tps=11.9):
- patch_xformers_sdpa_seq.py replaces ixformer flash attention with
  pure PyTorch O(L^2) matmul+softmax serial implementation
- 32 full attention layers x every token = 4.6x slower

Sub 168 (base image) proof:
- output_tps_avg=11.9, output_tps_p50=13.0, output_tps_p90=18.1
- XFormers backend used WITHOUT any patches
- ixformer flash_attn works correctly on BI-V100

This commit: skip xformers patches in patch_ops.sh
Expected: output_tps should recover to ~11.9 (Sub 168 level)
2026-08-11 02:31:29 +00:00
2026-08-07 08:43:51 +00:00
2026-07-30 17:03:23 +08:00
2026-08-11 01:22:31 +00:00

project_6

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