Right, sorry for not specifying. At the bottom of the last loop, I have this code segment:
# Check how the generator is doing by saving G's output on fixed_noise
        if (iters % 500 == 0) or ((epoch == num_epochs-1) and (i == len(dataloader)-1)):
            with torch.no_grad():
                fake = netG(fixed_noise).detach().cpu()
                print(fake)
            img_list.append(fake)

I then iterate over img_list and store its contents in txt files. Upon examining these txt files, I see 64x64 matrices with elements in the range [-1, 1]. This is confusing to me because I did not normalize anything.