code: def forward(self, x):
      # return super(DeepLabV2, self).forward(x)
      logits = super(DeepLabV2, self).forward(x)
      logits = F.interpolate(
          logits, size=x.shape[2:], mode="bilinear", align_corners=True
      )
      return logits
  
file_path: pywick/pywick/models/segmentation/testnets/deeplabv2.py
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from .resnet import _ConvBatchNormReLU, _ResBlock
  from .msc import MSC
label_desc: Use image node_id 2 for calling the DeepLabV2 obj's underlying member method code with example usage: obj.forward(x) and returns: logits