I trained VGG16 network for CIFAR10 classification.
I stored this network using torch.save().
And now, I make modified convolution operations and make same architecture like VGG16 with this modified convolution architecture, called modified VGG16. It means Conv2d is replaced by modified convolution operation.
I wanna use pretrained parameters but using modified convolution.
So, I used load_state_dict(torch.load(PATH), strict=False).
However, I got this error messange.
AttributeError: ‘VGG’ object has no attribute ‘copy’
How can I transfer pretrained parameters to modified VGG16??