code: def forward(self, x, y):
      # return x / (torch.abs(x) + 1.0),
      return (x + y,)
  
imports: import argparse
  import inspect
  import sys
  import numpy
  import tabulate
  import torch
  import torch._inductor
  from torch._dynamo.backends.cudagraphs import cudagraphs_inner
  from torch._dynamo.testing import same
  from torch._inductor.compile_fx import compile_fx
  from torch._inductor.utils import timed
label_desc: Use image node_id 1 for calling the MyModel2 obj's underlying member method code with example usage: obj.forward(x, y) and returns: unknown