code: def _run(
      self,
      status: OrderedDict,
  ):
      status = self.transform(status)
      inputs = status["video"]
      inputs = inputs[None, ...]
      output = self.model(inputs)
      return {"action_class": output}
  
imports: from collections import OrderedDict
  from typing import Callable, List
  import attr
  import torch
  from pytorchvideo.data.decoder import DecoderType
  from pytorchvideo.data.encoded_video import EncodedVideo
  from pytorchvideo.transforms import ApplyTransformToKey, ShortSideScale, UniformTemporalSubsample
  from torchvision.transforms import Compose, Lambda
  from torchvision.transforms._transforms_video import CenterCropVideo, NormalizeVideo
label_desc: Use image node_id 2 for calling the X3DClsHook obj's underlying member method code with example usage: obj._run(status) and returns: dict