Hi,
I found this repo https://github.com/pytorch/vision/blob/release/0.8.0/torchvision/models/quantization/googlenet.py containing quantized versions of models like GoogleNet and ResNet. I see that model weights are loaded from the URLs.
quant_model_urls = {
# fp32 GoogLeNet ported from TensorFlow, with weights quantized in PyTorch
'googlenet_fbgemm': 'https://download.pytorch.org/models/quantized/googlenet_fbgemm-c00238cf.pth',
}
I have the below question on these weights:
- What quantization type is used for these weights, for example, QAT or Post static quantization?
- Do we have such URLs for other torchvision models like Densenet and VGG16?
Thanks