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[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark

Home Page: https://arxiv.org/abs/2310.08381

License: Apache License 2.0

Python 100.00%
downstream-tasks efficient-inference finetuning ood-robustness reprogramming visual-prompt visual-prompting foundation-models low-data-regime model-agnostic

autovp's Issues

How to tune the parameter of specific model?

For example, I just want to tune the padding size of resnet18 under the CIFAR10 dataset, so I use this command:

python3 demo.py \
    --dataset "CIFAR10" \
    --datapath "../data" \
    --pretrained "resnet18" \
    --mapping_method "frequency_based_mapping" \
    --param_tune 1 \
    --seed 42 \
    --out_map_num 10 \
    --img_scale 1.0 \
    --epoch 50

However, it showed a table like this:
image

It seems that demo.py tried all the configurations rather than under my setting.


By the way, it also showed me this error message when the tuning of every configuration ended:
image
I'm not sure if I install the wrong version of ray because it does not appear in the requirements.txt.
I installed it by pip install ray[tune], and its version is 2.31.0

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