zero_point
Returns:
      A quantized tensor with batch normalization applied.
Return type:
      Tensor
Example:
  >>> qx = torch.quantize_per_tensor(torch.rand(2, 2, 2, 2), 1.5, 3, torch.quint8)
  >>> torch.quantized_batch_norm(qx, torch.ones(2), torch.zeros(2), torch.rand(2), torch.rand(2), 0.00001, 0.2, 2)
  tensor([[[[-0.2000, -0.2000],
        [ 1.6000, -0.2000]],

       [[-0.4000, -0.4000],
        [-0.4000,  0.6000]]],


      [[[-0.2000, -0.2000],
        [-0.2000, -0.2000]],

       [[ 0.6000, -0.4000],
        [ 0.6000, -0.4000]]]], size=(2, 2, 2, 2), dtype=torch.quint8,
     quantization_scheme=torch.per_tensor_affine, scale=0.2, zero_point=2)
