biondizzle 61d5e7ba53 revert: P2 gsa fill elimination — revert to proven path for e2e stability ...

The fill_() is a CPU→GPU scalar write (tiny cost). The optimization
was marginal and the output quality regression (CJK tokens) needs
investigation separately. P2 can re-land after the regression is
confirmed to be sampling-related (not gsa-related).

P0/P1 (fused SwiGLU) still disabled — kernel arg-binding bug unfixed.

2026-06-02 07:32:10 +00:00

..

cache

E1: Wire LayerCacheHandle gather methods + CUDA gather kernels

2026-05-30 21:09:21 +00:00

kernels

perf: skip MQA GQA expansion in FMHA (stride=0, no 128x K/V copy)

2026-06-02 03:54:03 +00:00

layers

revert: P2 gsa fill elimination — revert to proven path for e2e stability

2026-06-02 07:32:10 +00:00

loader

Restructure: cutedsl/ -> dsv4/ with proper layering

2026-05-21 17:30:44 +00:00

model

P0 COMPLETE: Eliminate ALL .item() CPU-GPU syncs from NVFP4 activation path

2026-06-01 21:05:03 +00:00

ops

Fix gsa_buffer shape mismatch for MoE (M>1 rows)

2026-06-01 21:33:59 +00:00

reference

Restructure: cutedsl/ -> dsv4/ with proper layering

2026-05-21 17:30:44 +00:00

__init__.py

Restructure: cutedsl/ -> dsv4/ with proper layering

2026-05-21 17:30:44 +00:00