code: def full_decode(status: OrderedDict, **args):
      decoder = args.get("decoder", DecoderType.PYAV)
      decode_audio = args.get("decode_audio", True)
      video = EncodedVideo.from_path(
          status["path"], decode_audio, decoder
      )
      frames = video.get_clip(0, video.duration)
      return frames
  
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 1 for calling a global function with example usage: full_decode(status) and returns: frames