biondizzle 5290c91c35 fix quantize_nvfp4 kernel: use proven single-thread-per-CTA pattern from deinterleave_quantize.cu ...

The warp shuffle approach failed because __shfl_down_sync with 16 threads
has undefined behavior for the odd nibble. Use the same pattern as the
working deinterleave_quantize.cu: 1 CTA per 16-element block, 16 threads
per CTA, each thread reads all 16 elements sequentially and computes
amax + quantize + pack.

2026-05-25 16:21:44 +00:00

..

attention

Revert D2 multi-CTA attempts - keeping per-head launch approach (works correctly)

2026-05-25 01:08:38 +00:00

cache

KV Cache: schema, allocator, pools, manager, append_swa kernel

2026-05-22 00:08:38 +00:00

compressor

Restructure: cutedsl/ -> dsv4/ with proper layering

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

cuda

fix quantize_nvfp4 kernel: use proven single-thread-per-CTA pattern from deinterleave_quantize.cu

2026-05-25 16:21:44 +00:00

decode

Restructure: cutedsl/ -> dsv4/ with proper layering

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

gemm

fix: add SwiGLU clamping to fused kernel (paper §4.2.3, CG-1)

2026-05-23 06:32:54 +00:00

indexer

Indexer: score+topk kernel, gather KV, compute_valid_lens

2026-05-22 01:20:39 +00:00

router

Router: Blackwell-native fused decode kernel — real CuTeDSL implementation

2026-05-21 22:04:20 +00:00

__init__.py

Restructure: cutedsl/ -> dsv4/ with proper layering

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