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Zhen-Dong / HAWQ

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
MIT License
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running the experiments described in the HAWQ-v3 paper #21

Open lovodkin93 opened 3 years ago

lovodkin93 commented 3 years ago

Hello, I would like to reproduce the results described in the HAWQ-v3 paper for the QAT scenario, specifically those describing the results of running the ResNet50 model on the CIFAR10 dataset. I have tried to use the command line in the README file (under the "Quantization-Aware Training" seciton), but it resulted in very inferior results compared to the ones documented in the paper. I was hoping you could guide me as to how I can reproduce those results (for example for the uniform 8bit quantization). Thank you!

Kevin11Kaikai commented 1 year ago

Same here. I want to know how to run the results on the CIFAR10 dataset.

Kevin11Kaikai commented 1 year ago

Same here. I want to know how to run the results on the CIFAR10 dataset.