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search/README.md

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Without any proxy, directly and efficiently search neural network architectures on your target **task** and **hardware**!
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![](assets/proxyless_nas.png)
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![](../assets/proxyless_nas.png)
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<p align="center">
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<img src="assets/proxyless_bar.png" width="80%" />
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<img src="../assets/proxyless_bar.png" width="80%" />
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</p>
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![](assets/proxyless_compare.png)
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![](../assets/proxyless_compare.png)
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<table>
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<tr>
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<th> Mobile settings </th><th> GPU settings </th>
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</tr>
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<tr>
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<td>
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<img src="assets/proxyless_vs_mobilenet.png" width="100%" />
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<img src="../assets/proxyless_vs_mobilenet.png" width="100%" />
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</td>
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<td>
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People used to deploy one model to all platforms, but this is not good. To fully exploit the efficiency, we should specialize architectures for each platform.
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![](assets/specialization.jpg)
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[![Watch the video](assets/specialized_archs.png)](assets/visualization.mp4)
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![](../assets/specialization.jpg)
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[![Watch the video](../assets/specialized_archs.png)](../assets/visualization.mp4)
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## Requirements
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- Pytorch 1.0
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```bash
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# Architecture Search
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please refer to imagenet_arch_search.py
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```
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```

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