global _TF_WORKSPACE_ROOT
  global _TF_BAZELRC
  global _TF_CURRENT_BAZEL_VERSION

  parser = argparse.ArgumentParser()
  parser.add_argument(
      '--workspace',
      type=str,
      default=os.path.abspath(os.path.dirname(__file__)),
      help='The absolute path to your active Bazel workspace.')
  args = parser.parse_args()

  _TF_WORKSPACE_ROOT = args.workspace

  // make sure there is no information loss.
  if (proto_len > std::numeric_limits<int>::max()) {
    status->status = InvalidArgument(
        "proto_len (", proto_len,
        " bytes) is too large to be parsed by the protocol buffer library");
    return;
  }
  TensorShapeProto shape;
  if (shape.ParseFromArray(proto, static_cast<int>(proto_len))) {
    desc->node_builder.Attr(attr_name, shape);

        return a meaningful error message on failure.
*   tf.data:
    *   Remove `num_parallel_parser_calls` argument from
        `tf.contrib.data.make_csv_dataset()`. [tf.data] Remove
        `num_parallel_parser_calls` argument from
        `tf.contrib.data.make_csv_dataset()`.
    *   `tf.data.Dataset.list_files()` raises an exception at initialization