Claude 730831f267 [fix] paged_attn: re-force V1 — V2 is pure PyTorch, not C++ (confirmed from _custom_ops.py)
Reading _custom_ops.py as input revealed:
  paged_attention_v1 → ixf_F.vllm_single_query_cached_kv_attention (C++ fused kernel)
  paged_attention_v2 → paged_attention_v2_pytorch (pure Python for-loop)

The previous commit incorrectly removed use_v1=True assuming V2 had a C++ backend.
V2 tensor pre-allocation kept for future C++/Triton V2 implementation.
PARTITION_SIZE=1024 change kept (benefits future V2).
2026-08-05 06:27:17 +00:00
2026-07-30 17:03:23 +08:00

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