message: [tf.data] Remove `num_parallel_parser_calls` argument from `tf.contrib.data.make_csv_dataset()`.
  This argument was unused, and it was not actually parallelizing the parsing (just rearranging the arguments), so remove it to avoid confusing users when it doesn't make things faster.
diff: @@ -325,7 +325,6 @@ def make_csv_dataset(
  shuffle_seed=None,
  prefetch_buffer_size=1,
  num_parallel_reads=1,
  - num_parallel_parser_calls=2,
  sloppy=False,
  num_rows_for_inference=100,
  compression_type=None,
  @@ -392,8 +391,6 @@ def make_csv_dataset(
  batches consumed per training step.
  num_parallel_reads: Number of threads used to read CSV records from files.
  If >1, the results will be interleaved.
  - num_parallel_parser_calls: Number of parallel invocations of the CSV parsing
  - function on CSV records.
  sloppy: If `True`, reading performance will be improved at
  the cost of non-deterministic ordering. If `False`, the order of elements
  produced is deterministic prior to shuffling (elements are still
  @@ -502,7 +499,7 @@ def make_csv_dataset(
  # indefinitely, and all batches will be full-sized.
  dataset = dataset.batch(batch_size=batch_size,
  drop_remainder=num_epochs is None)
  - dataset = dataset.map(map_fn, num_parallel_calls=num_parallel_parser_calls)
  + dataset = dataset.map(map_fn)
  dataset = dataset.prefetch(prefetch_buffer_size)
  return dataset
  