This website requires JavaScript.
Explore
Help
Sign In
nodes
/
hao-ai-lab-FastVideo
Watch
1
Star
0
Fork
0
Code
Issues
Pull Requests
Packages
Projects
Releases
Wiki
Activity
Files
df2cfbeefca8e295b4b3fe700e3b4156574670a2
hao-ai-lab-FastVideo
/
fastvideo
/
worker
T
History
XOR-op
aea300f690
[perf]: use CUDA IPC in multiproc executor to avoid serialization overhead (
#1061
)
2026-02-06 19:43:18 -05:00
..
__init__.py
[Feat] add ray support (
#838
)
2025-10-16 23:17:54 -07:00
executor.py
[Feat] add ray support (
#838
)
2025-10-16 23:17:54 -07:00
gpu_worker.py
[feat] support Matrix-Game 2.0 streaming generation (
#957
)
2026-01-02 19:14:38 -06:00
multiproc_executor.py
[perf]: use CUDA IPC in multiproc executor to avoid serialization overhead (
#1061
)
2026-02-06 19:43:18 -05:00
ray_distributed_executor.py
[feat] support Matrix-Game 2.0 streaming generation (
#957
)
2026-01-02 19:14:38 -06:00
ray_env.py
[Feat] add ray support (
#838
)
2025-10-16 23:17:54 -07:00
ray_utils.py
[Feat] add ray support (
#838
)
2025-10-16 23:17:54 -07:00
worker_base.py
[Feat] add ray support (
#838
)
2025-10-16 23:17:54 -07:00
