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@@ -43,6 +43,10 @@ python -m graph_net.torch.validate \
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--model-path $GRAPH_NET_EXTRACT_WORKSPACE/resnet18/
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```
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<div align="center">
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<img src="/pics/graphnet_sample.png" alt="GraphNet Extract Sample" width="65%">
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</div>
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**Step 1: graph_net.torch.extract**
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```bash
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**Vision**: GraphNet aims to lay the foundation for [ai4c](https://github.com/PaddlePaddle/ai4c) by enabling large-scale, systematic evaluation of tensor compiler optimizations.
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We aim to achieve cross-hardware portability of compiler optimizations by allowing models to learn and transfer optimization strategies. It will significantly reduce the manual effort required to develop efficient operator implementations.
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## 💬 GraphNet Community
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You can join our community via following group chats. Welcome to ask any questions about using and building GraphNet.

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