tensorflow/models · error · ValueError

Sequence length: %s violates input size: (%s, %s).

Error message

Sequence length: %s violates input size: (%s, %s).

What it means

Error "Sequence length: %s violates input size: (%s, %s)." thrown in tensorflow/models.

Source

Thrown at official/projects/maxvit/modeling/layers.py:207

    insert = lambda s, i, c: s[:i] + c + s[i:]
    create_expr = lambda s, prefix='B', suffix='NK': prefix + s + suffix
    self.q_expr = create_expr(insert(symbols, self.attn_axis, 'S'))
    self.k_expr = create_expr(insert(symbols, self.attn_axis, 'T'))
    self.v_expr = create_expr(insert(symbols, self.attn_axis, 'T'))
    self.a_expr = create_expr(symbols, suffix='NST')

    ##### Relative attention
    if self.rel_attn_type in ['2d_multi_head', '2d_single_head']:
      query_shape_list = query_shape.as_list()
      if query_shape.rank == 4:
        height, width = query_shape_list[1:3]
      elif query_shape.rank == 3:
        seq_len = query_shape_list[1]
        height, width = common_ops.get_shape_from_length(
            seq_len, self.input_origin_height, self.input_origin_width
        )
        if height * width != seq_len:
          raise ValueError(
              'Sequence length: %s violates input size: (%s, %s).'
              % (seq_len, height, width)
          )
      else:
        raise ValueError(
            'Does not support relative attention for query shape: %s.'
            % query_shape_list
        )

      if self.scale_ratio is not None:
        scale_ratio = eval(self.scale_ratio)  # pylint:disable=eval-used  # pyrefly: ignore[bad-argument-type]
        vocab_height = 2 * int(height / scale_ratio) - 1
        vocab_width = 2 * int(width / scale_ratio) - 1
      else:
        vocab_height = 2 * height - 1
        vocab_width = 2 * width - 1

      if self.rel_attn_type == '2d_multi_head':

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/maxvit/modeling/layers.py:207 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/c03decb4573abdf6. Report an issue: GitHub.