code: def main():
      data = torch.randn(10, 50).cuda()
      model = Model().cuda()
      optimizer = torch.optim.SGD(model.parameters(), lr=0.0001)
      for i in range(10):
          optimizer.zero_grad()
          loss = model(data)
          loss.backward()
          optimizer.step()
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types