code: def forward(self, x):
      # TFLite uses  different padding
      if self.stride == 2:
          x = F.pad(x, (0, 1, 0, 1), "constant", 0)
          # print(x.shape)
  
      for module in self:
          if not isinstance(module, nn.MaxPool2d):
              x = module(x)
      return x
  
imports: import os
  import sys
  import torch
  import torch.nn
  import torch.utils.model_zoo
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the ConvBNReLU obj's underlying member method code with example usage: obj.forward(x) and returns: x