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881400490c16799ed9d69cc04e85f94de98e1044
hao-ai-lab-FastVideo
/
fastvideo
/
tests
/
train
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methods
T
History
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
..
__init__.py
[ci] add per-method single-step training tests for fastvideo.train (
#1343
)
2026-05-25 17:09:54 -07:00
grad_norm_refs.json
[ci] train-framework model coverage: Cosmos/MatrixGame2 finetune grad-norm + Cosmos/LongCat/MatrixGame2 loading smokes (
#1497
)
2026-06-27 17:16:00 -07:00
grad_norm_regression.py
[ci] train-framework model coverage: Cosmos/MatrixGame2 finetune grad-norm + Cosmos/LongCat/MatrixGame2 loading smokes (
#1497
)
2026-06-27 17:16:00 -07:00
test_cosmos_finetune.py
[ci] train-framework model coverage: Cosmos/MatrixGame2 finetune grad-norm + Cosmos/LongCat/MatrixGame2 loading smokes (
#1497
)
2026-06-27 17:16:00 -07:00
test_matrixgame2_finetune.py
[ci] train-framework model coverage: Cosmos/MatrixGame2 finetune grad-norm + Cosmos/LongCat/MatrixGame2 loading smokes (
#1497
)
2026-06-27 17:16:00 -07:00
test_wan_causal_dfsft.py
[attn] Make FA4 explicit opt-in via FASTVIDEO_FA4 and delete the runtime fallback machinery (
#1540
)
2026-07-04 14:51:00 -07:00
test_wan_finetune.py
[ci] layer-0 grad-norm regression for per-method training tests (5a-ii) (
#1396
)
2026-06-12 04:45:07 +00:00