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#!/bin/bash |
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DATA="/path/to/dataset/folder" |
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TRAINER=PromptSRC |
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DATASET=$1 |
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SEED=$2 |
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CFG=vit_b16_c2_ep5_batch4_4+4ctx_cross_datasets |
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SHOTS=16 |
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DIR=output/evaluation/${TRAINER}/${CFG}_${SHOTS}shots/${DATASET}/seed${SEED} |
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if [ -d "$DIR" ]; then |
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echo "Results are available in ${DIR}. Skip this job" |
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else |
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echo "Run this job and save the output to ${DIR}" |
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python train.py \ |
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--root ${DATA} \ |
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--seed ${SEED} \ |
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--trainer ${TRAINER} \ |
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--dataset-config-file configs/datasets/${DATASET}.yaml \ |
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--config-file configs/trainers/${TRAINER}/${CFG}.yaml \ |
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--output-dir ${DIR} \ |
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--model-dir output/imagenet/${TRAINER}/${CFG}_${SHOTS}shots/seed${SEED} \ |
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--load-epoch 20 \ |
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--eval-only |
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fi |