Comments (2)
yhhhli
commented on June 22, 2024
hi,
sorry about this, for the resume function, you can directly use examples in other pytorch CIFAR examples. The model can be safely saved and loaded in the official pytorch function.
Thanks.
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lxy21319
commented on June 22, 2024
Thanks a lot
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Related Issues (20)
- Why the size of Res20_2bit is the same as Res20_32bit? HOT 1
- uniform_quantization HOT 1
- Size and accuracy HOT 5
- Lightning Integration
- Technical details HOT 2
- about uniform quantization HOT 2
- the precision a4w4 of training MobilenetV2 is nearly 0 HOT 4
- a4w4 Resnet18 is 1.7% lower than that in the paper?
- The MUL unit of APOT HOT 1
- Need Suggestion
- Some results about resnet20 on cifar10
- quantization bit of apot HOT 2
- about training time
- difference between paper and code in quan_layer HOT 2
- calculate MAC
- Hyper-Params on MobileNet_V2 HOT 1
- The migration of this QAT function? HOT 5
- NaN loss for 8bit HOT 1
- Differences between quant_layer.py HOT 5
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