code: def __init__(self, model_dim, num_experts):
      super().__init__()
      self.model_dim = model_dim
      self.num_experts = num_experts
  
imports: import functools
  import tempfile
  import pytest
  import torch
  import torch.distributed
  import torch.multiprocessing
  from fairscale.fair_dev.testing.testing import make_cudnn_deterministic
  from fairscale.internal import torch_version
  from fairscale.nn import MOELayer, Top2Gate
label_desc: Use image node_id 1 to create a new RoundRobinGate object from inherited base classes: torch.nn with example: obj = RoundRobinGate(model_dim, num_experts)