text: import torch
  import torch.nn as nn
  
  
  # model
  class net_LocalResponseNorm(nn.Module):
      def __init__(self):
          super().__init__()
          self.op = nn.LocalResponseNorm(1)
  
      def forward(self, input):
          return self.op(input)
  
  
  _model_ = net_LocalResponseNorm()
  # dummy input for onnx generation
  _dummy_ = torch.randn(1, 2, 4, 4)
  