code: def start_reduce(self):
      self.tensor = torch.randn(64, 64)
      print("input sum ", self.tensor.sum().item())
      self.reduce = self.group.all_reduce("test reduce", self.tensor)
  
file_path: moolib/test/test_reduce.py
imports: import moolib
  import time
  import torch
  import random
label_desc: Use image node_id 3 for calling the Client obj's underlying member method code with example usage: obj.start_reduce() without return types