34 lines
786 B
Markdown
34 lines
786 B
Markdown
# SENet
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An implementation of SENet, proposed in Squeeze-and-Excitation Networks by Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
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[https://arxiv.org/abs/1709.01507](https://arxiv.org/abs/1709.01507)
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For the Pytorch implementation, you can refer to [wang-xinyu/senet.pytorch](https://github.com/wang-xinyu/senet.pytorch).
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```
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// 1. generate se_resnet50.wts from [wang-xinyu/senet.pytorch](https://github.com/wang-xinyu/senet.pytorch)
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// 2. put se_resnet50.wts into tensorrtx/senet
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// 3. build and run
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cd tensorrtx/senet
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mkdir build
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cd build
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cmake ..
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make
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sudo ./se_resnet -s // serialize model to plan file i.e. 'se_resnet50.engine'
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sudo ./se_resnet -d // deserialize plan file and run inference
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// 4. see if the output is same as [wang-xinyu/senet.pytorch]
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```
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