Commit Graph
7 Commits
Author SHA1 Message Date
ViperEkura 28d1bd07cf style: unify decode expf to __expf
- attn_decode_split_kv.cuh: 4 expf -> __expf
- attn_paged_decode_split_kv.cuh: 4 expf -> __expf
- --use_fast_math makes expf emit __expf anyway, so no behavior change
- aligns decode with prefill/mma kernels that already use __expf
2026-07-31 00:19:18 +08:00
ViperEkura 3067a8e1a6 feat: unify attention backend with multi-dim mask support
- Add attention() functional entry delegating to active backend
- GQA/MLA forward calls attention() instead of inline cache/SDPA
- CUDA kernels support 2D/3D/4D mask via mask_h_stride field
- CudaBackend.fwd_decode builds 2D padding mask for mixed seq_lens
- KVCache.max_len precomputed in bind_tasks to avoid GPU sync
- batch==1 decode short-circuits mask=None
- Split tests into conftest, test_backend, test_backend_equivalence, test_kernel_mask
- 440 tests pass, L20 decode 1.44-1.60x speedup vs torch native
2026-07-30 20:38:34 +08:00
ViperEkura 20041d7aa9 perf: extend MMA decode to arbitrary GQA ratio, add launch bounds, vectorize combine
- Multi-pass MMA: encode pass in grid blockIdx.x, compute q_head0/G in-kernel
- Fixes crash for G>32 (previously block(32,G) exceeded 1024 threads)
- Fixes alloc_split_partials using uninitialized num_splits (MAX_SPLITS=32)
- __launch_bounds__ on all MMA and prefill kernels for better register allocation
- 4x vectorized combine kernel (4 head_dim per thread)
- uint4 vectorized K loads in scalar decode kernels
- cp.async .L2::128B cache hint for K/V tile streaming
- Extract warp_reduce_sum, bf16, MAX_SPLITS to attn_warp_utils.cuh
2026-07-27 00:35:34 +08:00
ViperEkura 60d7ee614a fix: improve attention kernel numerical stability and test precision checks
- use fmaf() for V-accumulation in scalar decode paths to reduce rounding
- delay scale multiplication to after dot-product in scalar prefill
- unify __expf/expf across MMA and scalar paths for consistent numerics
- harmonize divide-by-zero guards to 1e-20f
- add both absolute and relative error checks in standalone tests (atol=0.01, rtol=0.01)
2026-07-21 23:05:17 +08:00
ViperEkura a01e8bbe98 refactor: adopt FA2-style KernelTraits + compile-time causal/mask dispatch
- Introduce KernelTraits<HEAD_DIM, BC, WARPS, STAGES> compile-time config bundle, replacing scattered <KD, NC8, KT2, ...> template params
- Template all MMA and scalar kernels on IsCausal/HasMask bools to eliminate inner-loop runtime branches
- Dispatch to 4-path IsCausal/HasMask kernel variants at entry points based on p.causal_offset and p.use_mask
- Update standalone test files with new kernel signatures, add causal test cases
- Fix duplicate using bf16 in MMA kernels that include attn_mma_utils.cuh
2026-07-21 21:52:46 +08:00
ViperEkura 57729fd92d refactor: stride-based attn interface with layout and causal mask
- Replace is_causal + causal_offset with unified causal_offset (-1 = off, >=0 = first Q pos)
- Causal and mask can now coexist (was mutually exclusive)
- Add stride-based addressing for Q/KV/O (layout-agnostic, zero-copy)
- Add layout param ("bhld"/"blhd") parsed in Python, passed as int to C++
- Support 2D [batch, kv_len] and 3D [batch, q_len, kv_len] mask
- Vectorize paged KV gather in Python fallback (was per-token Python loop)
- Extract shared helpers: compute_num_splits, alloc_split_partials, dispatch_head_dim
- Unify paged_decode entry via attn_pack_paged_params
- Update mma_softmax_tile for 3D mask with per-row qrow indexing
2026-07-14 21:34:42 +08:00
ViperEkura 89ece26c25 feat: paged decode attention with split-KV (scalar + MMA)
- PagedAttentionParams merged into attn_common.h
- Scalar variant: warp-per-query-head split-KV, resolves page table per-position for the K/V shared-memory tile load
- MMA variant (sm_80+): tensor-core head-packing with cp.async, single page-table lookup per tile (BC=32 fits within page_size>=32)
- Standalone test: 14 cases across head_dim 32/64/128/256, GQA, multi-batch, both paths verified against CPU reference
2026-07-11 18:14:51 +08:00