ViperEkura b5cdea98ad refactor: remove ineffective __launch_bounds__ from prefill kernel ... - Remove MIN_BLOCKS template param and __launch_bounds__ attribute - Profiling shows smem (not registers) is the occupancy bottleneck for D>=64, making the hint a no-op - D=64 sees 2-4% speedup, D=128 unchanged (smem-capped at 1 block/SM) - Update comment blocks in kernel header and both dispatch sites - Verified correctness via standalone CUDA test (max_err ~1e-4)		2026-07-12 15:00:53 +08:00
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kernels	refactor: remove ineffective __launch_bounds__ from prefill kernel	2026-07-12 15:00:53 +08:00
tests	refactor: remove ineffective __launch_bounds__ from prefill kernel	2026-07-12 15:00:53 +08:00
__init__.py	feat: add optional CUDA kernel system (csrc/) + fused GQA decode attention	2026-07-06 12:09:58 +08:00
build.py	feat: paged decode attention with split-KV (scalar + MMA)	2026-07-11 18:14:51 +08:00