rate must be a scalar tensor or a float in the range [0, 1),

Error message

rate must be a scalar tensor or a float in the range [0, 1), got %g

What it means

Error "rate must be a scalar tensor or a float in the range [0, 1), got %g" thrown in tensorflow/models.

Source

Thrown at official/projects/bigbird/stateless_dropout.py:94

      randomly generated keep/drop flags.
    name: A name for this operation (optional).

  Returns:
    A `Tensor` of the same shape of `x`.

  Raises:
    ValueError: If `rate` is not in `[0, 1)` or if `x` is not a floating point
      tensor. `rate=1` is disallowed, because the output would be all zeros,
      which is likely not what was intended.
  """
  with tf.name_scope(name or 'stateless_dropout') as name:
    x = tf.convert_to_tensor(x, name='x')
    if not x.dtype.is_floating:
      raise ValueError('x has to be a floating point tensor since it\'s going '
                       ' to be scaled. Got a %s tensor instead.' % x.dtype)
    if isinstance(rate, numbers.Real):
      if not (rate >= 0 and rate < 1):
        raise ValueError('rate must be a scalar tensor or a float in the '
                         'range [0, 1), got %g' % rate)
      if rate > 0.5:
        logging.log_first_n(
            logging.WARN, 'Large dropout rate: %g (>0.5). In TensorFlow '
            '.x, dropout() uses dropout rate instead of keep_prob. '
            'Please ensure that this is intended.', 5, rate)

    # Early return if nothing needs to be dropped.
    if tf.get_static_value(rate) == 0:
      return x

    rate = tf.convert_to_tensor(rate, dtype=x.dtype, name='rate')
    rate.shape.assert_has_rank(0)
    noise_shape = _get_noise_shape(x, noise_shape)
    # Sample a uniform distribution on [0.0, 1.0) and select values larger than
    # rate.
    #
    # NOTE: Random uniform actually can only generate 2^23 floats on [1.0, 2.0)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/bigbird/stateless_dropout.py:94 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/8ea10fc321332531. Report an issue: GitHub.