I was using Pytorch for post-training quantization for my resnet18 model. Following is part of the code.
net.qconfig = torch.quantization.QConfig(
    activation=torch.quantization.MinMaxObserver.with_args(dtype=torch.quint8, qscheme=torch.per_tensor_symmetric), 
    weight=torch.quantization.MinMaxObserver.with_args(dtype=torch.qint8, qscheme=torch.per_tensor_symmetric))

I wanted to print bias and scale for each tensor that is being used internally for each Tensor.
Can someone please help me do it the right way?
Thanks.