


torch.quantize_per_channel(x, torch.tensor([0.1, 0.01]), torch.tensor([10, 0]), 0, torch.quint8)
      tensor([[-1.,  0.],
              [ 1.,  2.]], size=(2, 2), dtype=torch.quint8,
             quantization_scheme=torch.per_channel_affine,
             scale=tensor([0.1000, 0.0100], dtype=torch.float64),
             zero_point=tensor([10,  0]), axis=0)
      >>> torch.quantize_per_channel(x, torch.tensor([0.1, 0.01]), torch.tensor([10, 0]), 0, torch.quint8).int_repr()
      tensor([[  0,  10],
              [100, 200]], dtype=torch.uint8)


