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mrq
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vall-e
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vall-e
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vall_e
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mrq
b4c895114c
naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)
2024-08-01 20:12:06 -05:00
..
__init__.py
naive model offloading support (handles automatically splitting parts of the model to requested device per memory constraints, either inferred or requested in the yaml, input tensors are automatically migrated to the right device, it SEEMS to work for training under the test trainer when split between GPU and CPU) (this was specifically only because that Flux imagegen model released so I can test it there)
2024-08-01 20:12:06 -05:00
base.py
suppress warning on exit about distributed not being cleaned up (because I updated my system)
2024-07-25 16:50:47 -05:00
deepspeed.py
added prom-less training / inferencing, some other things
2024-07-22 19:36:07 -05:00