class_docstr: Implementation of an AnyNet.
  
  See https://arxiv.org/abs/2003.13678 for details.
class_docstr_tok: ["Implementation","of","an","AnyNet",".","See","https",":","\/\/arxiv.org\/abs\/2003.13678","for","details","."]
code: def forward(self, x, *args, **kwargs):
      x = self.stem(x)
      x = self.trunk_output(x)
  
      return x
  
imports: import math
  from collections import OrderedDict
  from enum import auto, Enum
  from typing import Any, Dict, Optional, Sequence
  import torch.nn
  from classy_vision.generic.util import get_torch_version
  from classy_vision.models import ClassyModel, register_model
  from classy_vision.models.squeeze_and_excitation_layer import SqueezeAndExcitationLayer
label_desc: Use image node_id 3 for calling the AnyNet obj's underlying member method code with example usage: obj.forward(x) and returns: x