tensorflow/models · error · ValueError

Output level is out of range [{}, {}]

Error message

Output level is out of range [{}, {}]

What it means

Error "Output level is out of range [{}, {}]" thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/modeling/architecture/spinenet.py:346

          filters=target_num_filters,
          strides=1,
          block_fn_cand=target_block_fn,
          block_repeats=self._block_repeats,
          name='scale_permuted_block_{}'.format(i + 1))

      net.append(x)
      net_sizes.append(target_width)
      net_block_fns.append(target_block_fn)
      num_outgoing_connections.append(0)

      # Save output feats.
      if block_spec.is_output:
        if block_spec.level in endpoints:
          raise ValueError('Duplicate feats found for output level {}.'.format(
              block_spec.level))
        if (block_spec.level < self._min_level or
            block_spec.level > self._max_level):
          raise ValueError('Output level is out of range [{}, {}]'.format(
              self._min_level, self._max_level))
        endpoints[block_spec.level] = x

    return endpoints

  def _build_endpoints(self, net):
    """Match filter size for endpoints before sharing conv layers."""
    endpoints = {}
    for level in range(self._min_level, self._max_level + 1):
      x = layers.Conv2D(
          filters=self._endpoints_num_filters,
          kernel_size=1,
          strides=1,
          use_bias=False,
          kernel_initializer=self._kernel_initializer,
          kernel_regularizer=self._kernel_regularizer,
          bias_regularizer=self._bias_regularizer)(
              net[level])

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/modeling/architecture/spinenet.py:346 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/da89e30b5301662a. Report an issue: GitHub.