code: def per_batch_transform_on_device(self) -> Callable:
      return ApplyToKeys(
          DataKeys.INPUT,
          K.VideoSequential(
              K.Normalize(self.mean, self.std),
              data_format=self.data_format,
              same_on_frame=self.same_on_frame,
          ),
      )
  
file_path: lightning-flash/src/flash/video/classification/input_transform.py
imports: from dataclasses import dataclass
  from typing import Callable
  import torch
  from torch import Tensor
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.transforms import ApplyToKeys
  from flash.core.utilities.imports import _KORNIA_AVAILABLE, _PYTORCHVIDEO_AVAILABLE, requires
label_desc: Use image node_id 3 for calling the VideoClassificationInputTransform obj's underlying member method code with example usage: obj.per_batch_transform_on_device() and returns: ApplyToKeys