[main] Enforce single GPU per trainer - #84
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Segger's Trainer instances defaulted to all assigned GPUs, causing failures on multi-GPU SLURM allocations. Set devices=1 explicitly in segment.py and debug/prediction.py.
Co-authored-by: East Agile Tracker <tracker@eastagile.com>
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Closes #12, where segger tries to use all assigned GPUs. Thanks to @eastagiletracker for finding this fix (closing #82 as out of scope).
Tested this on a SLURM cluster before/after the fix and confirmed this fixes the issue.