47 lines
1.2 KiB
Bash
47 lines
1.2 KiB
Bash
#!/bin/bash
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# custom config
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DATA=" ~/Datasets/CoOp"
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TRAINER=PromptSRC
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SRC_DATASETS=imagenet
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SHOTS=16
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CFG=vit_b16_c2_ep20_batch4_4+4ctx_cross_datasets
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LOADEP=20
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DATASETS=(dtd eurosat fgvc_aircraft food101 oxford_flowers oxford_pets stanford_cars ucf101 caltech101 sun397)
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SEEDS=(1 2 3)
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for DATASET in "${DATASETS[@]}"
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do
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for SEED in "${SEEDS[@]}"
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do
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MODEL_DIR=output_xd/base2new/train_base/${SRC_DATASETS}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${SEED}
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DIR=output_xd/base2new/test_new/${DATASET}/shots_${SHOTS}/${TRAINER}/${CFG}/seed${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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echo "Loading model from ${MODEL_DIR}"
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CUDA_VISIBLE_DEVICES=0 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 ${MODEL_DIR} \
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--load-epoch ${LOADEP} \
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--eval-only
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fi
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done
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done
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