monai.transforms.intensity.array.NormalizeIntensity bug when __call__ with channel_wise=True #8267

for i, d in enumerate(img):
    img[i] = self._normalize(  # type: ignore
        d,
        sub=self.subtrahend[i] if self.subtrahend is not None else None,
        div=self.divisor[i] if self.divisor is not None else None,
    )

import torch
from monai.transforms.intensity.array import NormalizeIntensity
tensor = torch.arange(24).reshape(2,3,4)
normalized_correctly = NormalizeIntensity()(tensor)
normalized_corrupted = NormalizeIntensity(channel_wise=True)(tensor)
print(normalized_correctly)
print(normalized_corrupted)

>>> normalized_correctly
metatensor([[[-1.6613, -1.5169, -1.3724, -1.2279],
         [-1.0835, -0.9390, -0.7945, -0.6501],
         [-0.5056, -0.3612, -0.2167, -0.0722]],

        [[ 0.0722,  0.2167,  0.3612,  0.5056],
         [ 0.6501,  0.7945,  0.9390,  1.0835],
         [ 1.2279,  1.3724,  1.5169,  1.6613]]])
>>> normalized_corrupted
metatensor([[[-1., -1., -1.,  0.],
         [ 0.,  0.,  0.,  0.],
         [ 0.,  1.,  1.,  1.]],

        [[-1., -1., -1.,  0.],
         [ 0.,  0.,  0.,  0.],
         [ 0.,  1.,  1.,  1.]]])