code: def forward(self, x):
      x_l = self.conv_l1(x)
      x_l = self.conv_l2(x_l)
      x_r = self.conv_r1(x)
      x_r = self.conv_r2(x_r)
      x = x_l + x_r
      return x
  
file_path: pywick/pywick/models/segmentation/testnets/lg_kernel_exfuse/large_kernel.py
imports: import torch
  from torch import nn
  from .deeplab_resnet import ModelBuilder
label_desc: Use image node_id 2 for calling the _GlobalConvModule obj's underlying member method code with example usage: obj.forward(x) and returns: x