biondizzle d9d3ca42b0 Fix: mma_tiler and cluster_layout must use MLIR values for cute.slice_ ...

cute.slice_ on Python int tuples fails. All values in mma_tiler and
cluster_layout need to be cutlass.Int32() since they flow into
cute.slice_ and cute.local_tile inside @cute.kernel.

Now consistent: mma_inst_shape_mn, mma_tiler, cluster_layout_vmnk all
use MLIR-typed values created inside @cute.jit context.

2026-06-01 09:42:17 +00:00

..

attention

FMHA sink: don't double-scale sink bias

2026-05-31 23:12:20 +00:00

cache

fix: correct gather.py kernel_dir path

2026-05-30 21:12:09 +00:00

compressor

fix: import torch.utils.cpp_extension explicitly in production_compress

2026-06-01 05:20:44 +00:00

cuda

fix: move compressor position_bias into CUDA kernel (was Python loop)

2026-06-01 05:54:44 +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

Wire indexer compute_index_scores_topk + fix compressor imports

2026-05-30 21:19:06 +00:00

router

Fix: mma_tiler and cluster_layout must use MLIR values for cute.slice_

2026-06-01 09:42:17 +00:00

__init__.py

Restructure: cutedsl/ -> dsv4/ with proper layering

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