tensorflow/models · error · ValueError

At most one of `input_path` and `tfds_name` can be specified

Error message

At most one of `input_path` and `tfds_name` can be specified, but got %s and %s.

What it means

Error "At most one of `input_path` and `tfds_name` can be specified, but got %s and %s." thrown in tensorflow/models.

Source

Thrown at official/core/input_reader.py:267

      sample_fn: An optional `callable` that takes a `tf.data.Dataset` object as
        input and outputs the transformed dataset. It performs sampling on the
        decoded raw tensors dict before the parser_fn.
      parser_fn: An optional `callable` that takes the decoded raw tensors dict
        and parse them into a dictionary of tensors that can be consumed by the
        model. It will be executed after decoder_fn.
      filter_fn: An optional `callable` mapping a dataset element to a boolean.
        It will be executed after parser_fn.
      transform_and_batch_fn: An optional `callable` that takes a
        `tf.data.Dataset` object and an optional `tf.distribute.InputContext` as
        input, and returns a `tf.data.Dataset` object. It will be executed after
        `parser_fn` to transform and batch the dataset; if None, after
        `parser_fn` is executed, the dataset will be batched into per-replica
        batch size.
      postprocess_fn: A optional `callable` that processes batched tensors. It
        will be executed after batching.
    """
    if params.input_path and params.tfds_name:
      raise ValueError('At most one of `input_path` and `tfds_name` can be '
                       'specified, but got %s and %s.' %
                       (params.input_path, params.tfds_name))

    if (isinstance(params.input_path, cfg.base_config.Config) or
        isinstance(params.tfds_name, cfg.base_config.Config)
        ) and combine_fn is None:
      raise ValueError(
          'A combine_fn is required if `input_path` or `tfds_name` is a dict.')

    self._tfds_name = params.tfds_name
    self._tfds_data_dir = params.tfds_data_dir
    self._matched_files = None
    if not params.input_path:
      # Read dataset from TFDS.
      if not params.tfds_split:
        raise ValueError(
            '`tfds_name` is %s, but `tfds_split` is not specified.' %
            params.tfds_name)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/core/input_reader.py:267 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/896cfc8589bfe831. Report an issue: GitHub.