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dcsan avatar dcsan commented on August 11, 2024

I can confirm I get absolutely identical images on a second run on a clean new instance. so it seems somehow the training class is being ignored. the target_name "emma" is in the file names tho:

emma_blackwhite_0.png

emma_blackwhite_0

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dcsan avatar dcsan commented on August 11, 2024

Oh it's a GPU out of mem error.
also noticed i uploaded a .DS_Store mac file by accident...

I wonder if you have guidelines on how many images could be uploaded generally?
eg how many / big files?
seems to be a problem for the Tesla instances, even the a 10x Tesla seems capped at 16GB of VRAM:

image

RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 15.78 GiB total capacity; 14.49 GiB already allocated; 15.69 MiB free; 14.63 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

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twro2022 avatar twro2022 commented on August 11, 2024

Must have 24GB - "One critical choice you need to make is that whatever you rent must have 24 GB VRAM"

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dcsan avatar dcsan commented on August 11, 2024

got it thanks! i overlooked that in the README. might be worth having some code to do a startup check at the beginning and fatal if there's for sure not enough vram.

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