Hi, guys,
My model is ShuffleNet_V2_X0_5_Weights.IMAGENET1K_V1
I m trying to freeze layers using this code:
for param in model.parameters():
param.requires_grad = False
But it doesn’t work. I recieve:
‘RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn’
So I found this code:
for params in list(model.parameters())[0:-5]:
params.requires_grad = False
It works but I don’t understand what [0:-5] means in this case.
And I tried:
for param in model.features.parameters():
param.requires_grad = False
My model doesn’t have attribute ‘features’. So how should I freeze layers right way?