code: def forward(self, x):
      y1 = self.sep_conv1(x)
      y2 = F.max_pool2d(x, kernel_size=3, stride=self.stride, padding=1)
      if self.stride == 2:
          y2 = self.bn1(self.conv1(y2))
      return F.relu(y1 + y2)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the CellA obj's underlying member method code with example usage: obj.forward(x) and returns: F