(file_list, stop_at=None)
return num_records
Counts number of records in files from `file_list` up to `stop_at`.

  Args:
    file_list: List of TFRecord files to count records in.
    stop_at: Optional number of records to stop counting at.

  Returns:
    Integer number of records in files from `file_list` up to `stop_at`.
Counts number of records in files from `file_list` up to `stop_at`.
Counts number of records in files from file_list up to stop_at .
def count_records(file_list, stop_at=None):
  """Counts number of records in files from `file_list` up to `stop_at`.

  Args:
    file_list: List of TFRecord files to count records in.
    stop_at: Optional number of records to stop counting at.

  Returns:
    Integer number of records in files from `file_list` up to `stop_at`.
  """
  num_records = 0
  for tfrecord_file in file_list:
    tf.logging.info('Counting records in %s.', tfrecord_file)
    for _ in tf.python_io.tf_record_iterator(tfrecord_file):
      num_records += 1
      if stop_at and num_records >= stop_at:
        tf.logging.info('Number of records is at least %d.', num_records)
        return num_records
  tf.logging.info('Total records: %d', num_records)
  return num_records
def count_records ( file_list , stop_at = None ) : num_records = 0 for tfrecord_file in file_list : tf . logging . info ( 'Counting records in %s.' , tfrecord_file ) for _ in tf . python_io . tf_record_iterator ( tfrecord_file ) : num_records += 1 if stop_at and num_records >= stop_at : tf . logging . info ( 'Number of records is at least %d.' , num_records ) return num_records tf . logging . info ( 'Total records: %d' , num_records ) return num_records