code: def run(args):
      D = 4
      model = sru.SRU(
          D, D, num_layers=2, normalize_after=args.normalize_after
      )
      model.eval()
  
      ts_model = torch.jit.script(model)
      ts_model.save("sru_ts.pt")
  
      with torch.no_grad():
          x = torch.ones(3, 2, D)
          h, c = model(x)
          h, c = h.view(-1), c.view(-1)
          print("".join(["{:.4f} ".format(x.item()) for x in h]))
          print("".join(["{:.4f} ".format(x.item()) for x in c]))
  
imports: import torch
  import sru
  import argparse
label_desc: Use image node_id 1 for calling a global function with example usage: run(args) without return types