code: def forward_features(self, x):
      x = self.model.features(x)
      x = self.model.avgpool(x)
      x = torch.flatten(x, 1)
      return [x]
  
imports: from functools import partial
  from typing import List
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.models.mobilenetv3 import mobilenetv3_large_100
  from torchvision.models import mobilenet_v3_large
  from vissl.config import AttrDict
  from vissl.models.trunks import register_model_trunk
label_desc: Use image node_id 3 for calling the MobileNetV3_TV obj's underlying member method code with example usage: obj.forward_features(x) and returns: list