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Refine lib -> xautodl

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D-X-Y
2021-05-19 07:19:20 +00:00
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docs/NeurIPS-2019-TAS.md
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@@ -7,8 +7,8 @@ In this paper, we proposed a differentiable searching strategy for transformable
You could see the highlight of our Transformable Architecture Search (TAS) at our [project page](https://xuanyidong.com/assets/projects/NeurIPS-2019-TAS.html).
<p float="left">
<img src="https://d-x-y.github.com/resources/paper-icon/NIPS-2019-TAS.png" width="680px"/>
<img src="https://d-x-y.github.com/resources/videos/NeurIPS-2019-TAS/TAS-arch.gif?raw=true" width="180px"/>
<img src="http://xuanyidong.com/resources/paper-icon/NIPS-2019-TAS.png" width="680px"/>
<img src="http://xuanyidong.com/resources/videos/NeurIPS-2019-TAS/TAS-arch.gif?raw=true" width="180px"/>
</p>
@@ -24,7 +24,7 @@ We provide some logs at [Google Drive](https://drive.google.com/open?id=1_qUY4DT
## Usage
Use `bash ./scripts/prepare.sh` to prepare data splits for `CIFAR-10`, `CIFARR-100`, and `ILSVRC2012`.
Use `bash ./scripts/TAS/prepare.sh` to prepare data splits for `CIFAR-10`, `CIFARR-100`, and `ILSVRC2012`.
If you do not have `ILSVRC2012` data, please comment L12 in `./scripts/prepare.sh`.
args: `cifar10` indicates the dataset name, `ResNet56` indicates the basemodel name, `CIFARX` indicates the searching hyper-parameters, `0.47/0.57` indicates the expected FLOP ratio, `-1` indicates the random seed.