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Can you show your code of evaluation?
It is tested with the code of brecq.
In ( main_imagenet.py ##199 ), I add code:
qnn.set_quant_state(weight_quant=False, act_quant=False)
print('accuracy: {}'.format(validate_model(test_loader, qnn)))
Tested the pre-trained model resnet50 with only 76.62 performance.
Hi,
Very impressive coding.
https://github.com/yhhhli/BRECQ/releases/download/v1.0/resnet50_imagenet.pth.tar
I tested the pre-trained model resnet50 with only 76.62 performance, but the paper wrote 77.00.
Thanks
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