code: def dummy_data(batch_size, input_size, num_classes):
      # dummy input
      x = torch.rand(batch_size, input_size)
  
      # dummy target
      y = torch.randint(num_classes, (batch_size, 1)).squeeze(1)
      return x, y
  
imports: import torch
  from torch import nn
  from torch.optim import Adam
  from moe import MoE
label_desc: Use image node_id 3 for calling a global function with example usage: dummy_data(batch_size, input_size, num_classes) and returns: x,  y