code: def forward(self, x):
      x = self.features(x)
      x = self.avgpool(x)
      x = torch.flatten(x, 1)
      x = self.classifier(x)
      return x
  
file_path: deep-learning-for-image-processing/pytorch_classification/Test6_mobilenet/model_v2.py
imports: from torch import nn
  import torch
label_desc: Use image node_id 2 for calling the MobileNetV2 obj's underlying member method code with example usage: obj.forward(x) and returns: x