https://github.com/ryujaehun/pytorch_imagnet

pytorch implementaton imagenet
https://github.com/ryujaehun/pytorch_imagnet

Last synced: about 2 months ago
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pytorch implementaton imagenet

• Host: GitHub
• URL: https://github.com/ryujaehun/pytorch_imagnet
• Owner: ryujaehun
• License: mit
• Created: 2018-09-23T05:51:25.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-25T02:06:50.000Z (about 6 years ago)
• Last Synced: 2023-07-31T15:11:42.019Z (over 1 year ago)
• Language: Python
• Size: 68.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# pytorch_imagnet_converter

You can use imagenet in pytorch using the weights learned in other frameworks.

This is simply an attempt to weight quantization

If you want more complete control, you can use MMdnn.

## install

```

pip install mmdnn

pip install torch

pip install torchvision

```

## usage 

```

python main.py --config config/mobilenet_v1_1.0.yaml -e

```

## references

[MMdnn](https://github.com/Microsoft/MMdnn)

[Xilinx/pytorch-quantization](https://github.com/Xilinx/pytorch-quantization)