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biondizzle/nvfp4-megamoe-kernel
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3a30f35c68ce3bb552cfe9d790bb6e3bacf0fd38
nvfp4-megamoe-kernel/dsv4/kernels
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biondizzle 3a30f35c68 fix: cute.math.fmin/fmax → cute.arch.fmin/fmax in fused SwiGLU kernel
cute.math has no fmin/fmax. cute.arch does (register-level ops).
README constraint #4: use cute.arch.fmax inside plain range(), not vectorize=True.
2026-06-02 08:12:55 +00:00
..
attention
perf: skip MQA GQA expansion in FMHA (stride=0, no 128x K/V copy)
2026-06-02 03:54:03 +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
perf: fused mHC Sinkhorn CUDA kernel (1 launch vs 38)
2026-06-02 03:50:57 +00:00
gemm
fix: cute.math.fmin/fmax → cute.arch.fmin/fmax in fused SwiGLU kernel
2026-06-02 08:12:55 +00:00
indexer
P0 COMPLETE: Eliminate ALL .item() CPU-GPU syncs from NVFP4 activation path
2026-06-01 21:05:03 +00:00
router
Switch router to Nvfp4Linear production GEMM (custom CuTeDSL kernel crashes MLIR)
2026-06-01 11:17:54 +00:00
__init__.py
Restructure: cutedsl/ -> dsv4/ with proper layering
2026-05-21 17:30:44 +00:00
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