code: def add(self, output, target):
      if not torch.is_tensor(output) and not torch.is_tensor(target):
          output = torch.from_numpy(output)
          target = torch.from_numpy(target)
      self.n += output.numel()
      self.sesum += torch.sum((output - target) ** 2)
  
file_path: pywick/pywick/meters/msemeter.py
imports: import math
  from .None import meter
  import torch
label_desc: Use image node_id 3 for calling the MSEMeter obj's underlying member method code with example usage: obj.add(output, target) without return types