biondizzle 10915c4e70 fix: remove double normalization in fmha_6warp_multihead epilogue ...

P was already normalized in softmax step. PV = P_norm @ V gives the
correct attention output. Dividing by row_sum again in the epilogue
produces O = O_correct / row_sum (128x too small for uniform data).

2026-05-30 08:26:20 +00:00

..

cache

Flush compressor: schema fix, prepare_forward, flush_write kernels, state rotation

2026-05-22 00:25:47 +00:00

kernels

fix: remove double normalization in fmha_6warp_multihead epilogue

2026-05-30 08:26:20 +00:00

layers

NVFP4-1.1 integration: GPU-only quantize kernel + MoE pipeline wiring

2026-05-25 16:19:07 +00:00

loader

Restructure: cutedsl/ -> dsv4/ with proper layering

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

model

Fix layer construction: match existing API signatures, add RMSNorm impl

2026-05-21 23:31:58 +00:00

ops

Stage E: head-packed MQA/GQA, batch dim, custom_op, integration API

2026-05-27 15:15:03 +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