Start taking GPUs from the tail of IDs

scripts/03_train_ner_models.sh

@@ -16,6 +16,6 @@ parallel --halt=soon,fail=100% --jobs=4 --bar --delay 60 --resume-failed \
          --joblog scripts/03_train_ner_models_"${SCHEDULE_NAME}".joblog \
          --colsep ' +' \
          -- \
-           'GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | head -n 1 | awk "{ print \$2 }"); '\
+           'GPU_ID=$(nvidia-smi | grep -F -B 1 -- "0MiB / 15360MiB" | tail -n 2 | head -n 1 | awk "{ print \$2 }"); '\
            'docker run --rm -u "$(id -u):$(id -g)" --hostname "'"$HOSTNAME"'" --runtime=nvidia -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e NVIDIA_VISIBLE_DEVICES="$GPU_ID" -e TOKENIZERS_PARALLELISM=false -e COMET_API_KEY -v "$PWD"/..:/workdir:rw -w /workdir/"${PWD##*/}" -v "'"$ROOT_PATH"'":"'"$ROOT_PATH"'":rw -v "'"$ANNOTATION_PATH"'":"'"$ANNOTATION_PATH"'":ro -v "'"$OCR_EVAL_PATH"'":"'"$OCR_EVAL_PATH"'":ro "'"$IMAGE_NAME"'" nice -n 19 python scripts/03_train_ner_models.py {1} {2} {3} '"$SCHEDULE_NAME"'
          ' :::: scripts/03_train_ner_models.tasks