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
  
imports: from ..None import resnext101_64x4d
  from math import floor
  import numpy
  import torch
  import torch.nn
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