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#!/bin/bash |
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DATA=/path/to/datasets |
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TRAINER=CoOp |
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SHOTS=16 |
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NCTX=16 |
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CSC=False |
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CTP=end |
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DATASET=$1 |
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CFG=$2 |
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for SEED in 1 2 3 |
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do |
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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 output/evaluation/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/${DATASET}/seed${SEED} \ |
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--model-dir output/imagenet/${TRAINER}/${CFG}_${SHOTS}shots/nctx${NCTX}_csc${CSC}_ctp${CTP}/seed${SEED} \ |
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--load-epoch 50 \ |
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--eval-only \ |
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TRAINER.COOP.N_CTX ${NCTX} \ |
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TRAINER.COOP.CSC ${CSC} \ |
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TRAINER.COOP.CLASS_TOKEN_POSITION ${CTP} |
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done |
