Commit Graph
59 Commits
Author SHA1 Message Date
Will Lin 64cdcf6be4 Merge PR #1731 head (9713ea127) on top of the stack (the target of this branch)
[feat] FastH3 few-step preview: VSA-H3 64-token tile option on the native
Triton block-sparse path, run-level --VSA-tile-size plumbing, opt-in sm_100a
CUDA forward route (FASTVIDEO_VSA_SM100A=1), basic_fasth3.py example with the
corrected 5-point-grid = 4-forward schedule (num_inference_steps=5), and the
FastVideo-Minimax-FastH3-Preview-v0.1 release name.

Clean textual merge; the predicted 1734<->1731 conflict in
minimax_h3_denoising.py resolved automatically and was verified by hand:
1731's vsa_tile_size plumbing sits in the metadata-builder preamble
(L149-152, L177) while 1734's edits are the import line, the stage docstring,
and the profiler_region+nvtx_range context line (L157) - the merged loop keeps
both, plus main's cudagraph_mark_step_begin contract (L184).
video_sparse_attn_h3.py and the metadata tests are 1731-only files on this
stack (no sibling edits).
2026-08-21 10:27:49 +00:00
Will LinandClaude Fable 5 3f00983287 [feat] attention: opt-in sm_100a CUDA forward route for VSA-H3 tile-64
FASTVIDEO_VSA_SM100A=1 (default off) sends no-grad tile-64 forwards through
fastvideo_kernel.block_sparse_attn_sm100a (the Blackwell block-sparse
forward merged in #1719, which handles per-q-tile NON-uniform q2k_num rows
and zero-count rows). Route preconditions: module importable,
is_supported() (sm_100 device, bf16, head_dim 128, even tile count), no
grad tracking; any failure with the env set logs one warning and falls
back to the Triton-64 kernels, which also keep the entire grad path
unchanged.

The bool block map is compacted with the same map_to_index the Triton bool
entry uses, so the sm_100a kernel sees H3's true NON-uniform per-row counts
(prefix query tiles dense, video tiles prefix+top-k).

The FastH3 example surfaces the route as --vsa-kernel {triton,sm100a}
(default triton), which sets the env before pipeline boot so spawned GPU
workers inherit it; documented in the basic README.

CPU route-selection tests: default-off, engage-on-env, grad fallback,
warn-once fallback for missing module/unsupported geometry, no-grad-context
detection.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-21 09:27:38 +00:00
Will LinandClaude Fable 5 dd8447ecc5 [feat] VSA-H3: 64-token tile option on the native Triton block-sparse path
The tile size becomes selectable at metadata build time:
MiniMaxH3VSAMetadataBuilder.build(tile_size=...) accepts 256 (default,
unchanged (4,8,8) tiles and VSA-256 CuTe/Triton routing) or 64. At 64 the
tiles are (4,4,4) and the block map is already at the Triton kernels'
native granularity, so forward and backward run
fastvideo_kernel.block_sparse_attn directly (BHSD, transposed around the
call like the 256 wrapper's Triton branch) with no 256->64 mask expansion;
FASTVIDEO_VSA_CUTEDSL does not apply at 64. Tile geometry, pooled scoring,
prefix chunking, the probe, and the gate_compress views all follow the
configured tile element count.

Also adds _validate_h3_tile_geometry: a synchronous, lru-cache-scoped
bounds check on every built geometry (per-tile sizes in (0, tile_elems],
sizes sum to the packed length, untile index injective into non-pad
slots). Malformed geometry now raises at build time with the numbers in
hand instead of surfacing as an unattributable async device fault at some
later kernel or collective.

CPU tests: hand-computed (4,4,4) oracle on a grid ragged in all three
dims, the production packed shape (768x1344, 124 frames) under both tile
sizes, sparsity-0 SDPA equivalence at tile 64, the guard's 64-bound, and
builder rejection of unknown tile sizes. GPU parity of the 64 route was
validated out of band on GB200: sparsity-0 forward+input-grad parity vs
dense SDPA 3.1e-3 rel-L2 at the production packed shape (matching the 256
route to the third digit); sparsity-0.9 out/dq bitwise same-seed
deterministic, dk/dv ~3e-5 reduction-order drift (same profile as the
existing 256 Triton route).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-21 09:27:38 +00:00
Davids048 628591b620 Add some logging. 2026-08-21 08:33:09 +00:00
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
Kai 0653f8f3af [new-model] Add V2A: native MMAudio inference pipeline (#1622) 2026-08-09 17:29:27 -07:00
William Lin e0d702decb [feat] VSA for MiniMax H3: packed mixed-modality sparse attention (#1695) 2026-08-09 13:10:51 -07:00
William Lin b9be2449dc [refactor]: delete the dead global attention-backend override (#1672) 2026-08-02 18:00:42 -07:00
William Lin 7b094c945b [refactor]: resolve attention backend once per component at load time (#1657) 2026-08-02 15:07:42 -07:00
William Lin af2934dd6b [feat]: FA4-FP4 ATTN_QAT_INFER on sm_100/sm_103 + NVFP4 weight purge (#1647) 2026-07-27 15:46:52 -07:00
Lev NovitskiyandClaude Sonnet 5 8b23984c79 [feat] Add Kandinsky5 QAD training pipeline: data preprocessing, QAT finetune, QAT-aware DMD distillation (#1601)
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-26 02:59:21 -07:00
William Lin bf18371afe [feat] Enable LTX-2 NVFP4 linear and attention QAT fine-tuning (#1626) 2026-07-26 02:19:34 -07:00
Adriel FungandSolitaryThinker 521dee0e82 [perf]: enable per-block torch.compile for LTX2 with persistent cache (#1602)
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-07-20 15:59:13 -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 c1abc42782 [bugfix]: allow unrestricted head sizes in SDPA (#1596) 2026-07-13 16:04:51 -07:00
Raghav K 055586703d [perf]: register a real backward for FA2 default + masked/varlen custom ops (training-under-compile) (#1388) 2026-07-12 00:45:27 +00:00
02e1143f22 [feat] Add Kandinsky-5 T2V/I2V pipeline support (#1471)
Co-authored-by: Aryan Kumar <aryan5v@users.noreply.github.com>
Co-authored-by: leffff <levnovitskiy@gmail.com>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-07-07 14:43:30 -07:00
William Lin a5a6d171e5 [attn] Make FA4 explicit opt-in via FASTVIDEO_FA4 and delete the runtime fallback machinery (#1540) 2026-07-04 14:51:00 -07:00
Mac Lee 00ec3e7388 [bugfix]: compute VSA topk from padded blocks (#1517) 2026-07-03 14:16:51 -07:00
William Lin b36d0ef085 [infra] Add DGX Spark and multi-architecture CUDA support (#1447) 2026-07-03 13:41:43 -07:00
William Lin b454aa56c3 [misc] fix pre-commit (#1500) 2026-06-26 12:39:28 -07:00
Utkarsh RanjanandClaude Opus 4.8 b57180bf97 [bugfix] Warn when a requested attention backend is unsupported by a layer (#1254) (#1486)
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-24 15:56:39 -07:00
b2ade71467 [Bugfix] QAD 5090: Torch.compile and other optimizations (15/12) (#1466)
Co-authored-by: alexzms <3036648523@qq.com>
Co-authored-by: Kaiqin Kong <k1kong@ucsd.edu>
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-06-23 01:23:57 -07:00
1dee77f4a4 [feat] QAD 5090: Wire the Attn-QAT training attention backend (10/12) (#1459)
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>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
Co-authored-by: alexzms <26690162+alexzms@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-06-17 13:32:56 -07:00
19a838f54f [bugfix]: release VSA tile cache during training (#1434)
Co-authored-by: Aryan Kumar <aryan5v@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-06-09 15:01:22 -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
William Lin ba75ad82db [refactor]: shared attention infra additions for QAT-compat (Attn-QAT 5/12) (#1383) 2026-05-23 16:19:24 -07:00
2f3ca8aaad [perf]: register FA2/FA3 default flash_attn_func as a torch.library custom op (#1373)
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-05-23 00:39:06 -07:00
fda02036bc [feat]: Attn-QAT inference + training backends (deadcode) (Attn-QAT 4/12) (#1358)
Co-authored-by: jzhang38 <42993249+jzhang38@users.noreply.github.com>
Co-authored-by: RandNMR73 <99706358+RandNMR73@users.noreply.github.com>
2026-05-22 02:59:25 -07:00
e8597b7448 [Bugfix] FP4 FA4 installation fix (#1367)
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: SolitaryThinker <wlsaidhi@gmail.com>
2026-05-19 22:45:24 -07:00
b4458e5bae feat: FP4 Flash Attention 4 for Blackwell GPUs (#1221)
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-05-12 17:04:39 -07:00
alexzmsandmergify[bot] 636d3b743e [misc] attention hot-path cleanup + denoising loop hoists (#1272)
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-05-10 11:51:10 -07:00
William Lin 140bd1a6cf [misc]: standardize install instructions on uv pip install (#1279) 2026-05-02 12:45:50 -07:00
William Lin c85f6a477f [docs] add hierarchical AGENTS.md per-directory guidance (#1278) 2026-05-02 03:28:18 -07:00
Junda Su 40d4930d73 [bugfix] Update fa import (#1271) 2026-05-02 01:25:22 -07:00
f6e65ff668 [Feature] Add BSA (Bidirectional Sparse Attention) inference backend (#1174)
Co-authored-by: Satyam Srivastava <satyam53@Mac.lan1>
Co-authored-by: Satyam Srivastava <satyam53@Satyams-MacBook-Air.local>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-04-05 05:00:33 +00:00
alexzms 14261bc98c [feat] pre-commit support 120 col num (#1167) 2026-03-11 20:19:30 -07:00
XOR-op 95066245db [misc] FlashAttention 4 support (#1114) 2026-03-07 16:53:43 -08:00
Zhang Peiyuan cd1b7cf139 [Refactor] SP Mask --> original seq len; HunyuanVideo 1.5 does not need mask (#1142) 2026-03-04 11:44:47 +08:00
Zhang PeiyuanandWill Lin fc80d95d7e [Misc] Remove STA (#1124)
Co-authored-by: Will Lin <wlsaidhi@gmail.com>
2026-02-23 15:14:42 -08:00
10fc92dba5 Upstream LTX2 Training (#1116)
Co-authored-by: RandNMR73 <notomatthew31@gmail.com>
Co-authored-by: JerryZhou54 <zhouw.jerry2017@outlook.com>
Co-authored-by: Davids048 <jundasu@ucsd.edu>
Co-authored-by: Peiyuan Zhang <a1286225768@slurm-h200-204-239.slurm-compute.tenant-slurm.svc.cluster.local>
2026-02-21 16:06:55 -08:00
XOR-op 38a6bd93d3 [chore]: update sageattn3 installation instructions (#1050) 2026-01-29 15:45:52 -08:00
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
Loay Rashid dea69cf651 [New Model] Turbodiffusion (#971) 2026-01-02 17:55:56 -06:00
551b2d2048 [fix]: fix sliding_tile_attn with sdpa(without flash_attn) (#967)
Co-authored-by: roywang <roywang@amd.com>
Co-authored-by: Will Lin <wlsaidhi@gmail.com>
2025-12-29 14:19:40 -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
Shreejith SGandWilliam Lin f8bfc76015 feat: consolidate attention kernels into unified fastvideo-kernel package (#946)
Co-authored-by: William Lin <SolitaryThinker@users.noreply.github.com>
2025-12-24 01:39:51 -06:00
Wei Zhou 1f70032af5 [New Model] Hunyuan1.5 (#943) 2025-12-21 00:57:52 -06:00
Loay Rashid 2bb3349da1 [bugfix] Added VSA Padding logic (#944) 2025-12-20 14:29:11 -06:00