code: def load_sample(self, sample: Dict[str, Any]) -> Dict[str, Any]:
      sample[DataKeys.INPUT] = np.float32(
          np.transpose(sample[DataKeys.INPUT], (1, 2, 0))
      )
      return super().load_sample(sample)
  
imports: import os
  from typing import Any, Callable, Dict, List, Optional, Union
  import numpy
  import pandas
  from flash.core.data.io.classification_input import ClassificationInputMixin
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.utilities.classification import MultiBinaryTargetFormatter, TargetFormatter
  from flash.core.data.utilities.data_frame import resolve_files, resolve_targets
  from flash.core.data.utilities.loading import AUDIO_EXTENSIONS, IMG_EXTENSIONS, NP_EXTENSIONS, load_data_frame, load_spectrogram
  from flash.core.data.utilities.paths import PATH_TYPE, filter_valid_files, make_dataset
  from flash.core.data.utilities.samples import to_samples
  from flash.core.utilities.imports import requires
label_desc: Use image node_id 2 for calling the AudioClassificationNumpyInput obj's underlying member method code with example usage: obj.load_sample(sample) and returns: super