biondizzle a468f72a0e CUDA graph: Pre-allocate L1 GEMM output buffers in MoE and SharedExpert ...

Pass out= parameter to run_fused_swiglu_grouped_gemm to avoid per-step
torch.zeros() allocation during CUDA graph capture.

2026-06-03 23:17:43 +00:00

..

_archive

Cleanup Step 2: Archive Lineage P code, fix broken imports

2026-06-02 19:27:07 +00:00

cache

Cleanup Step 2: Archive Lineage P code, fix broken imports

2026-06-02 19:27:07 +00:00

decode

CUDA graph: Fix remaining sync violations from B200 detector run 2

2026-06-03 17:20:34 +00:00

kernels

Fix compressor: do not add positional bias to KV content

2026-06-03 15:52:00 +00:00

layers

CUDA graph: Pre-allocate L1 GEMM output buffers in MoE and SharedExpert

2026-06-03 23:17:43 +00:00

loader

Cleanup Step 2: Archive Lineage P code, fix broken imports

2026-06-02 19:27:07 +00:00

model

Cleanup Step 2: Archive Lineage P code, fix broken imports

2026-06-02 19:27:07 +00:00

ops

Fix: Add out= parameter to run_fused_swiglu_grouped_gemm signature

2026-06-03 21:45:15 +00:00

reference

Cleanup Step 2: Archive Lineage P code, fix broken imports

2026-06-02 19:27:07 +00:00

__init__.py

Restructure: cutedsl/ -> dsv4/ with proper layering

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