class_docstr: Large Kernel Matters -- https://arxiv.org/abs/1703.02719
class_docstr_tok: ["Large","Kernel","Matters","--","https",":","\/\/arxiv.org\/abs\/1703.02719"]
code: def forward(self, x):
      x1 = self.conv_l1(x)
      x1 = self.conv_l2(x1)
  
      x2 = self.conv_r1(x)
      x2 = self.conv_r2(x2)
  
      out = x1 + x2
  
      return out
  
file_path: gluon-cv/gluoncv/torch/nn/group_norm.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Module, Parameter
  from torch.nn import init
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(x) and returns: out