code: def _forward_conv(self, x):
      x = self.conv(x)
      x = self.stage1(x)
      x = self.stage2(x)
      x = self.stage3(x)
      x = F.relu(
          self.bn(x), inplace=True
      )  # apply BN and ReLU before average pooling
      x = F.adaptive_avg_pool2d(x, output_size=1)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
label_desc: Use image node_id 3 for calling the Network obj's underlying member method code with example usage: obj._forward_conv(x) and returns: x