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--- |
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license: unknown |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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# ViTTiny1022 |
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The dataset for [Scaling Up Parameter Generation: A Recurrent Diffusion Approach](https://arxiv.org/pdf/2501.11587). |
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## Requirement |
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### Install torch and other dependencies |
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```shell |
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conda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 pytorch-cuda=12.1 -c pytorch -c nvidia |
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pip install timm einops seaborn openpyxl |
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``` |
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## Usage |
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### Test one checkpoint |
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```shell |
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cd ViTTiny1022 |
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python test.py ./chechpoint_test/0000_acc0.9613_class0314_condition_cifar10_vittiny.pth |
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# python test.py <path/to/the/file/you/want/to/test.pth> |
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``` |
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### Test some checkpoints |
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```shell |
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cd ViTTiny1022 |
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python test.py ./chechpoint_test |
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# python test.py <path/to/the/folder/containing/files/you/want/to/test> |
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``` |
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### Test the detail of one checkpoint |
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```shell |
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cd ViTTiny1022 |
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python detail.py ./chechpoint_test/0000_acc0.9613_class0314_condition_cifar10_vittiny.pth |
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# python detail.py <path/to/the/file/you/want/to/test.pth> |
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``` |
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### Train from source |
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```shell |
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cd ViTTiny1022 |
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bash train.sh |
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bash split.sh |
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``` |
