code: def evaluate(tensor: BKTensor) -> TensorLike:
      
      if isinstance(tensor, _DTYPE):
          if torch.numel(tensor) == 1:
              return tensor.item()
          if tensor.numel() == 2:
              return tensor[0].cpu().numpy() + 1.0j * tensor[1].cpu().numpy()
  
          return tensor[0].cpu().numpy() + 1.0j * tensor[1].cpu().numpy()
      return tensor
docs: Return the value of a tensor