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ncfrey
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Jun 9, 2025
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| _target_: lightning.pytorch.callbacks.BatchSizeFinder | |||
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yes on a single gpu it seems to be working
src/lobster/model/_utils.py
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| def is_distributed() -> bool: |
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can we call this module _distributed_utils.py for clarity?
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Training Ume medium and large with the contrastive objective is currently not possible because of CUDA OOM.
This MR implements DisCoCLIP which is supposed to be more memory efficient for distributed setting
See https://arxiv.org/pdf/2304.08480