Commit Graph
24 Commits
Author SHA1 Message Date
Wenbo Ji 嵇文博 ef63de1f60 [perf] Fuse VSA64 tile layout for SM100 inference (#1900)
For Wan VSA inference with 64-token tiles, each attention layer scattered Q, K,
V and the gate into a tile buffer and then made four transposed copies. On
SM100, one Triton kernel (tile_to_bhsd) now does the scatter and the transposes
in one pass. Training, 256-token tiles, other GPUs and builds without the kernel
use the previous path. FASTVIDEO_DISABLE_VSA64_FUSED_LAYOUT=1 turns the fused
path off.

On GB200 the layout and attention step goes from 15.7 ms to 8.6 ms. FastWan 1.3B
frames are bit-exact with the previous path at sequence parallel 1 and 2.
2026-10-07 15:31:58 -07:00
Wenbo Ji 嵇文博 b7bd7775ed [perf] Default SM100 long-sequence Attn-QAT tiling (#1899)
On SM100, the Attn-QAT training kernel now uses a faster route for non-causal
BF16 attention with equal query and key lengths of 16384 tokens or more. The
forward pass processes full KV tiles without bounds masks, and a separate masked
step handles the partial tail tile. The backward pass uses 64x128 dQ and dK/dV
tiles. Outputs, softmax statistics and all gradients are bitwise identical to the
previous route. FASTVIDEO_ATTN_QAT_SM100_OPTIMIZED=0 turns off the SM100 route,
and FASTVIDEO_ATTN_QAT_SM100_WIDE_BWD=0 keeps the 64x64 backward tiles.

On GB200 with 6 heads and 31200 tokens, the forward kernel time goes from 9.14 ms
to 6.96 ms and the backward kernel time from 17.41 ms to 15.85 ms.
2026-10-07 15:14:38 -07:00
f82c190cbb [kernel] Build + allow attn_qat_infer FP4 attention on sm_121a (DGX Spark) (#1598)
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-10-07 04:09:39 -07:00
72795d0af8 [perf] avoid full-sequence materialization in VSA coarse/sparse combine (#1813)
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-10-07 01:54:35 -07:00
8b51380466 [feat]: FastH3 on single RTX GPUs (#1919)
Co-authored-by: Aryan Kumar <aryan5v@users.noreply.github.com>
Co-authored-by: Aryan Kumar <aryank@Aryans-Mac-Studio.local>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-06 11:37:01 -07:00
lpc0220andClaude Opus 5.5 0cc41a22dc [bugfix] sm_100a VSA: fence the CLC response read before the slot release; forward PV descriptor lifetime (#1904)
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 12:37:34 -07:00
e1f3904799 [kernel] sm_100a CUDA backward for VSA block-sparse attention, 128-token blocks (#1866)
Co-authored-by: Pengcheng Li <pengchengl@ptyche0203.ptyche.clusters.nvidia.com>
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
2026-09-29 16:57:22 -07:00
Yogya Mehrotra 017ce6602d [bugfix] Fix dead NVFP4 QAT plumbing: bench imports, int8 error string, smooth_q crash (#1723) 2026-09-24 17:09:33 -07:00
Yogya Mehrotra a575055eec [perf] benchmark_attn_qat_train: device peak-TFLOPS table instead of silent RTX 5090 default (#1724) 2026-09-24 17:08:03 -07:00
William LinandClaude Fable 5 56d4a6074f [bugfix] fastvideo-kernel: fix Triton block-sparse backward logit scaling (bf16 K pre-scaling) (#1730)
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-08-21 04:50:06 -05:00
00338aa9ca [perf] Add FA4 CuTe backward support for VSA-256 (#1639)
Co-authored-by: Hyunsung Lee <hyunsungl@sizigistudios.com>
Co-authored-by: alexzms <3036648523@qq.com>
2026-08-19 11:46:49 -07:00
William Lin 9028953625 [misc] yapf pass under CI's interpreter (3.12) + pin hook language_version (#1702) 2026-08-08 22:24:17 -07:00
9709b7513b [feat] Port NVFP4 QAT/QAD to modular train framework (#1619)
Co-authored-by: Peiyuan Zhang <email>

Co-authored-by: Peiyuan <a>
2026-07-18 15:01:09 -07:00
William Lin b36d0ef085 [infra] Add DGX Spark and multi-architecture CUDA support (#1447) 2026-07-03 13:41:43 -07:00
sumyyyyyandSolitaryThinker 9e83ba630c [kernel] Extract VSA utility functions into fastvideo_kernel (#1408)
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-06-30 12:19:25 -07:00
Kevin Lin e3f54e7169 [bugfix] Fix causal attention mask for Blackwell FP4 MMA column layout (#1506) 2026-06-28 20:36:40 -07:00
xsankandmergify[bot] 31b719ae49 [perf] optimize compress & topk kernel (#1421)
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-06-23 18:51:22 +00:00
sumyyyyy 87f98c9b8b [kernel] Add varlen support for block-sparse attention (#1319) 2026-06-18 01:06:00 +00:00
eed9c4bfbf [kernel] QAD 5090: Add Attn-QAT training Triton kernels (11/12) (#1460)
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com>
Co-authored-by: Loay Rashid <42599591+loaydatrain@users.noreply.github.com>
Co-authored-by: Kaiqin Kong <k1kong@ucsd.edu>
2026-06-17 13:35:12 -07:00
alexzms be548a78ea [feat] VSA-256 fastpath on Blackwell via FA4 CuTe block-sparse attention (#1354) 2026-05-26 12:58:29 -07:00
alexzms 560628709c [Bug Fix] Add autograd wrapper for block-sparse attention in fastvideo-kernel + fix CMake extension linking (#1015) 2026-01-16 21:16:43 -08:00
William Lin 40ce2d72f5 [kernel] add turbodiffusion kernels (#972) 2025-12-30 04:23:10 -06:00
William Lin 9cd6a86b95 [chore] release v0.1.7 (#955) 2025-12-27 05:05:37 -06:00
William LinandShreejithSG 2f6230abcf [kernel] Reorg and fix fastvideo-kernel (#962)
Co-authored-by: ShreejithSG <shreejithsg@gmail.com>
2025-12-26 01:50:24 -06:00