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OOM encounter in anomalib/models/components/dimensionality_reduction/random_projection.py line 132 when trying to run python main.py --mode train --data bras2021 --model patchcore
We are trying to replicate the experiments using 8 NVIDIA RTX 3090 GPU but are faced with problem from OOM.
Seems like there is a problem with memory allocation where it only uses 1 GPU instead of using the rest of the resources. How would one define how to train with more than 1 GPU?
The text was updated successfully, but these errors were encountered:
OOM encounter in
anomalib/models/components/dimensionality_reduction/random_projection.py
line 132 when trying to runpython main.py --mode train --data bras2021 --model patchcore
We are trying to replicate the experiments using 8 NVIDIA RTX 3090 GPU but are faced with problem from OOM.
Seems like there is a problem with memory allocation where it only uses 1 GPU instead of using the rest of the resources. How would one define how to train with more than 1 GPU?
The text was updated successfully, but these errors were encountered: