tensorflow/models · error · TypeError

The {name} argument must be a tuple of {n} integers. Receive

Error message

The {name} argument must be a tuple of {n} integers. Received: {value}

What it means

Error "The {name} argument must be a tuple of {n} integers. Received: {value}" thrown in tensorflow/models.

Source

Thrown at official/vision/ops/augment.py:171

      ints.
    n: The size of the tuple to be returned.
    name: The name of the argument being validated, e.g. "strides" or
      "kernel_size". This is only used to format error messages.

  Returns:
    A tuple of n integers.

  Raises:
    ValueError: If something else than an int/long or iterable thereof was
      passed.
  """
  if isinstance(value, int):
    return (value,) * n
  else:
    try:
      value_tuple = tuple(value)
    except TypeError as exc:
      raise TypeError(
          f'The {name} argument must be a tuple of {n} integers. '
          f'Received: {value}'
      ) from exc
    if len(value_tuple) != n:
      raise ValueError(
          f'The {name} argument must be a tuple of {n} integers. '
          f'Received: {value}'
      )
    for single_value in value_tuple:
      try:
        int(single_value)
      except (ValueError, TypeError) as exc:
        raise ValueError(
            f'The {name} argument must be a tuple of {n} integers. Received:'
            f' {value} including element {single_value} of type'
            f' {type(single_value)}.'
        ) from exc
    return value_tuple

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Pass the argument as a tuple of exactly n integers.
2. Wrap scalar values into a tuple of the required length.

When it happens

Trigger: Thrown at official/vision/ops/augment.py:171 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/b3c9db1fc0d97743. Report an issue: GitHub.