code: def map_to_array(batch):
      speech, _ = sf.read(batch["file"])
      batch["speech"] = speech
      return batch
  
file_path: deepspeedexamples/inference/huggingface/automatic-speech-recognition/test-wav2vec2.py
imports: from datasets import load_dataset
  from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
  import soundfile
  import torch
  from jiwer import wer
  import os
  import deepspeed
  from deepspeed import module_inject
  from transformers.models.wav2vec2.modeling_wav2vec2 import Wav2Vec2EncoderLayer
label_desc: Use image node_id 1 for calling a global function with example usage: map_to_array(batch) and returns: batch