biondizzle 65669596d4 Fix: all CuTe shape values must be cutlass.Int32 for MLIR compatibility ...

Python ints cause 'Expected an MLIR object (got None)' in _pack_shape.
This is the same fix we applied to the FMHA kernel mma_tiler.
All mma_inst_shape, mma_tiler, cluster_shape values now use cutlass.Int32().

2026-06-01 09:30:15 +00:00

..

cache

E1: Wire LayerCacheHandle gather methods + CUDA gather kernels

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

kernels

Fix: all CuTe shape values must be cutlass.Int32 for MLIR compatibility

2026-06-01 09:30:15 +00:00

layers

feat: NVFP4 gate projection for router (replaces BF16 cuBLAS)

2026-06-01 05:58:56 +00:00

loader

Restructure: cutedsl/ -> dsv4/ with proper layering

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

model

Fix remaining mHC API references: layer_compare.py, layer.py comment

2026-05-31 18:38:34 +00:00

ops

fix: clamp block_amax to E4M3 max (448) in quantize_activation_nvfp4 — prevents NaN from overflow

2026-06-01 04:59:06 +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