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I've used the pytorch official resnet50 (https://pytorch.org/docs/stable/torchvision/models.html) in your ZeroQ, and it only gives 75.85 (full precision is 76.13)
All I do is change the model loading line in uniform_test.py as follows
model = ptcv_get_model(args.model, pretrained=True) model = torchvision.models.resnet50(pretrained=True)
Any hypermeters are allowed to be tuned for better performance?
The text was updated successfully, but these errors were encountered:
I've used the pytorch official resnet50 (https://pytorch.org/docs/stable/torchvision/models.html) in your ZeroQ, and it only gives 75.85 (full precision is 76.13) All I do is change the model loading line in uniform_test.py as follows model = ptcv_get_model(args.model, pretrained=True) model = torchvision.models.resnet50(pretrained=True) Any hypermeters are allowed to be tuned for better performance?
I meet the same issue . Do you slove this problem? Thanks
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I've used the pytorch official resnet50 (https://pytorch.org/docs/stable/torchvision/models.html) in your ZeroQ, and it only gives
75.85 (full precision is 76.13)
All I do is change the model loading line in uniform_test.py as follows
Any hypermeters are allowed to be tuned for better performance?
The text was updated successfully, but these errors were encountered: