biondizzle d3510980e4 feat: SWIZZLE_NONE UMMA descriptors with row-major SMEM ...

Canonical UMMA layout for SWIZZLE_NONE:
- MN-major (128, 64): LBO=16, SBO=128 (from logical_divide Tile(1,8))
- K-major (128, 64): LBO=16, SBO=32 (from logical_divide Tile(8,2))

Using simple row-major SMEM layout (no swizzle, no permutation).
Data is written directly to SMEM in row-major order.
The descriptor strides describe the canonical layout.

2026-05-28 08:35:30 +00:00

..

attention

feat: SWIZZLE_NONE UMMA descriptors with row-major SMEM

2026-05-28 08:35:30 +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

NVFP4-1.1: Mark fp4_quant.py as toolchain-blocked, clean up test files

2026-05-28 04:59:01 +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