code: def forward(self, x1, x2):
      h1_relu = self.linear1(x1).clamp(min=0)
      h2_relu = self.linear1(x2).clamp(min=0)
      cat = torch.cat((h1_relu, h2_relu), 1)
      y_pred = self.linear2(cat)
      return y_pred
  
file_path: pytorch/test/test_throughput_benchmark.py
imports: import torch
  from torch.utils import ThroughputBenchmark
  from torch.testing._internal.common_utils import run_tests, TestCase, TemporaryFileName
label_desc: Use image node_id 2 for calling the TwoLayerNetModule obj's underlying member method code with example usage: obj.forward(x1, x2) and returns: y_pred