tensorflow/models · error · ValueError

Unsupport shape {}

Error message

Unsupport shape {}

What it means

Error "Unsupport shape {}" thrown in tensorflow/models.

Source

Thrown at official/projects/maxvit/modeling/common_ops.py:132

def maybe_reshape_to_2d(x, height=None):
  """Reshape tensor to 2d if not already 2d."""
  if x.shape.rank == 3:
    _, length, num_channel = x.shape.as_list()
    if height is None:
      height = int(np.sqrt(length))
    else:
      assert length % height == 0
    width = length // height
    logging.debug(
        'Reshape %s -> %s', [length, num_channel], [height, width, num_channel]
    )
    return tf.reshape(x, [-1, height, width, num_channel])
  elif x.shape.rank == 4:
    return x
  else:
    raise ValueError('Unsupport shape {}'.format(x.shape))


def maybe_reshape_to_1d(x):
  """Reshape tensor to 1d if not already 1d."""
  if x.shape.rank == 4:
    _, h, w, num_channel = x.shape.as_list()
    logging.debug('Reshape %s -> %s', [h, w, num_channel], [h * w, num_channel])
    return tf.reshape(x, [-1, h * w, num_channel])
  elif x.shape.rank == 3:
    return x
  else:
    raise ValueError('Unsupport shape {}'.format(x.shape))


def generate_lookup_tensor(
    length: int,
    max_relative_position: Optional[int] = None,
    clamp_out_of_range: bool = False,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/maxvit/modeling/common_ops.py:132 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/28431cd14365dfc1. Report an issue: GitHub.