| | #!/bin/bash |
| |
|
| | |
| | DATA="/path/to/dataset/folder" |
| |
|
| | TRAINER=PromptSRC |
| |
|
| | DATASET=$1 |
| | SEED=$2 |
| |
|
| | CFG=vit_b16_c2_ep20_batch4_4+4ctx |
| | SHOTS=16 |
| |
|
| |
|
| | DIR=output/base2new/train_base/${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED} |
| |
|
| | if [ -d "$DIR" ]; then |
| | echo "Results are available in ${DIR}. Resuming..." |
| | python train.py \ |
| | --root ${DATA} \ |
| | --seed ${SEED} \ |
| | --trainer ${TRAINER} \ |
| | --dataset-config-file configs/datasets/${DATASET}.yaml \ |
| | --config-file configs/trainers/${TRAINER}/${CFG}.yaml \ |
| | --output-dir ${DIR} \ |
| | DATASET.NUM_SHOTS ${SHOTS} \ |
| | DATASET.SUBSAMPLE_CLASSES base |
| | else |
| | echo "Run this job and save the output to ${DIR}" |
| | python train.py \ |
| | --root ${DATA} \ |
| | --seed ${SEED} \ |
| | --trainer ${TRAINER} \ |
| | --dataset-config-file configs/datasets/${DATASET}.yaml \ |
| | --config-file configs/trainers/${TRAINER}/${CFG}.yaml \ |
| | --output-dir ${DIR} \ |
| | DATASET.NUM_SHOTS ${SHOTS} \ |
| | DATASET.SUBSAMPLE_CLASSES base |
| | fi |