Normalization can mean different things. Normalizing with mean=0 and std=1, you do by
x = (x - x.mean()) / x.std()

In case you want to normalize between [0, 1]
x = (x - x.min())(x.max() - x.min())

Also, torchvision transforms are more oriented towards images. Maybe you can provide the code and I can help for your specific code.