tensorflow/models · error · ValueError

padding should be one of "REFLECT", "CONSTANT", or "SYMMETRI

Error message

padding should be one of "REFLECT", "CONSTANT", or "SYMMETRIC".

What it means

Error "padding should be one of "REFLECT", "CONSTANT", or "SYMMETRIC"." thrown in tensorflow/models.

Source

Thrown at official/vision/ops/augment.py:120

  padding mode. For the even-sized filter, it pads one more value to the
  right or the bottom side.

  Args:
    image: A 4-D `Tensor` of shape `[batch_size, height, width, channels]`.
    filter_shape: A `tuple`/`list` of 2 integers, specifying the height and
      width of the 2-D filter.
    mode: A `string`, one of "REFLECT", "CONSTANT", or "SYMMETRIC". The type of
      padding algorithm to use, which is compatible with `mode` argument in
      `tf.pad`. For more details, please refer to
      https://www.tensorflow.org/api_docs/python/tf/pad.
    constant_values: A `scalar`, the pad value to use in "CONSTANT" padding
      mode.

  Returns:
    A padded image.
  """
  if mode.upper() not in {'REFLECT', 'CONSTANT', 'SYMMETRIC'}:
    raise ValueError(
        'padding should be one of "REFLECT", "CONSTANT", or "SYMMETRIC".'
    )
  constant_values = tf.convert_to_tensor(constant_values, image.dtype)
  filter_height, filter_width = filter_shape
  pad_top = (filter_height - 1) // 2
  pad_bottom = filter_height - 1 - pad_top
  pad_left = (filter_width - 1) // 2
  pad_right = filter_width - 1 - pad_left
  paddings = [[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]]
  return tf.pad(image, paddings, mode=mode, constant_values=constant_values)


def _get_gaussian_kernel(sigma, filter_shape):
  """Computes 1D Gaussian kernel."""
  sigma = tf.convert_to_tensor(sigma)
  x = tf.range(-filter_shape // 2 + 1, filter_shape // 2 + 1)
  x = tf.cast(x**2, sigma.dtype)
  x = tf.nn.softmax(-x / (2.0 * (sigma**2)))

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Set padding to one of 'REFLECT', 'CONSTANT', or 'SYMMETRIC'.
2. Check the padding argument for typos (case-sensitive).

When it happens

Trigger: Thrown at official/vision/ops/augment.py:120 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/391121b9cb85f48c. Report an issue: GitHub.