code: def forward(self, input):
      r, o = (
          self._moe_layer.valid_rs[
              (self.r_index // 8) % len(self._moe_layer.valid_rs)
          ],
          self.r_index % 8 + 1,
      )
      self.r_index += 1
  
      result = self._moe_layer(
          input,
          capacity_factor=args.cap_factor,
          adaptive_r=r,
          a2a_ffn_overlap_degree=o,
      )
      result = F.log_softmax(torch.sum(result, dim=2), dim=1)
      return result
  
file_path: tutel/tutel/examples/helloworld_switch.py
imports: import os
  import torch
  import torch.optim
  import torch.nn.functional
  from torch import nn
  import argparse
  from tutel import system
  from tutel import moe
  from tutel import net
label_desc: Use image node_id 2 for calling the ExampleModel obj's underlying member method code with example usage: obj.forward(input) and returns: result