- Add gqa_decode_attn_mma.cuh for tensor-core decode path
- Add dispatch_decode<> selecting MMA vs scalar based on G and mask
- Add TORCH_CHECK for unsupported head_dim instead of silent scalar launch
- centralize CXX_FLAGS/NVCC_FLAGS in csrc/build.py as single source
- add --use_fast_math, --ptxas-options=-O3,-v, --extra-device-vectorization
- add -march=native -funroll-loops host flags
- setup.py reads shared cxx_flags/nvcc_flags from registry
- sync pure-C test build commands with new flags
- replace scalar fragment loads with ldmatrix.sync.x4/x2
- add smem row-stride padding (LD = HEAD_DIM + 8) to eliminate 8-way bank conflicts from HEAD_DIM being a 32-bank multiple
- switch build flag from positive to negative: -DASTRAI_NO_MMA for pre-sm_80 only; mma is the default path
- vectorize scalar path smem loads with float4 ld8
- fix pure-C test configs for ld8 alignment
- one query row per group of G=8 lanes, each owning HEAD_DIM/G dims of qreg[]/acc[] in registers
- removes full 32-lane warp_reduce_sum; S dot reduces over only G lanes
- templated on <HEAD_DIM,G,ROWS,P_BC>, block=(G,ROWS)=(8,32)
- per-group shuffle mask so causal loop-bound divergence doesn't deadlock the shuffle
- update pure-C test to the templated launch
- Split .cuh/.cu for gqa_decode_attn and gqa_prefill_attn
- gqa_prefill_attn: tiled shared-memory K/V, fused load, compute-opt, mask support
- Add pure C tests under csrc/tests/ for fast nvcc-only iteration
- Update .gitignore for build artifacts
ViperEkura