I am trying the resnet50 model quantization with PyTorch and I tried these 3 lines of code :
the import, model=qn.resnet50(pretrain=true), and model.state_dict()), and why the coefficients being shown are all float values if this is the quarantined version of the model?
Noticed this while trying to figure out how to save/load the coefficients for a quantized model, and is there anything special you need to do convert model coefficients between float and int8.
Please let me know. Appreciate any help/suggestions , Thanks!