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