code: def _forward_impl(self, x: Tensor) -> Tensor:
      x = self.features(x)
      x = self.avgpool(x)
      x = torch.flatten(x, 1)
      x = self.classifier(x)
  
      return x
  
imports: import math
  import copy
  from functools import partial
  from collections import OrderedDict
  from typing import Optional, Callable
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the EfficientNet obj's underlying member method code with example usage: obj._forward_impl(x) and returns: x