Return type:
      Tensor
Example:
  >>> x = torch.randn(4)
  >>> x
  tensor([ 0.0552,  0.9730,  0.3973, -1.0780])
  >>> torch.fake_quantize_per_tensor_affine(x, 0.1, 0, 0, 255)
  tensor([0.1000, 1.0000, 0.4000, 0.0000])
  >>> torch.fake_quantize_per_tensor_affine(x, torch.tensor(0.1), torch.tensor(0), 0, 255)
  tensor([0.6000, 0.4000, 0.0000, 0.0000])
