code: def tf_record_iterator(path, options=None):
      """An iterator that read the records from a TFRecords file.
  
      Args:
        path: The path to the TFRecords file.
        options: (optional) A TFRecordOptions object.
  
      Returns:
        An iterator of serialized TFRecords.
  
      Raises:
        IOError: If `path` cannot be opened for reading.
      """
      compression_type = TFRecordOptions.get_compression_type_string(
          options
      )
      return _pywrap_record_io.RecordIterator(path, compression_type)
  
file_path: tensorflow-upstream/tensorflow/python/lib/io/tf_record.py
imports: from tensorflow.python.lib.io import _pywrap_record_io
  from tensorflow.python.util import compat
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: tf_record_iterator(path, options) and returns: _pywrap_record_io