code: def forward(self, x):
      x = self.conv1(x)
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
  
      x = self.bn1(x)
      x = self.relu(x)
  
      x = self.avgpool(x)
      x = x.view([int(x.size(0)), -1])
      x = self.fc(x)
  
imports: import numpy
  import torch
  from torch import nn
  from torch.autograd import Variable
  from torchvision.models import ResNet
  from pytorch2keras.converter import pytorch_to_keras
label_desc: Use image node_id 2 for calling the CifarSEPreActResNet obj's underlying member method code with example usage: obj.forward(x) without return types