Hello, I’m relatively new to PyTorch, I want to to apply Instance Normalization to my images. I am wondering if I can use Normalize as a stand alone function, without needing a tranforms.Compose() or any of the sort. Here is how I am currently trying to implement it:
img = someTensor # dimensions [1x224x224] I am using grayscale images
mean, std = img.mean(), img.std()
normal  = Normalize(mean,std)
normal(tensor = img)

I am getting the following error:
IndexError: too many indices for tensor of dimension 0
For now, I will apply element-wise normalisation (i.e. x-mu/sigma) but I would like to make it work with the torch functions too!
I would really appreciate if anyone could help me clarify how all this works!
Thanks in advance!