code: def convert_tfrecord_to_np(
      block_records_path: str, num_block_records: int
  ) -> np.ndarray:
      import tensorflow.compat.v1 as tf
  
      blocks_dataset = tf.data.TFRecordDataset(
          block_records_path, buffer_size=512 * 1024 * 1024
      )
      blocks_dataset = blocks_dataset.batch(
          num_block_records, drop_remainder=True
      )
      np_record = next(blocks_dataset.take(1).as_numpy_iterator())
  
      return np_record
  
file_path: transformers/src/transformers/models/realm/retrieval_realm.py
imports: import os
  from typing import Optional, Union
  import numpy
  from huggingface_hub import hf_hub_download
  from ...None import AutoTokenizer
  from ...utils import logging
label_desc: Use image node_id 1 for calling a global function with example usage: convert_tfrecord_to_np(block_records_path, num_block_records) and returns: np_record