{"record":{"id":"da89e30b5301662a","repo":"tensorflow/models","slug":"output-level-is-out-of-range","errorCode":null,"errorMessage":"Output level is out of range [{}, {}]","messagePattern":"Output level is out of range \\[(.+?), (.+?)\\]","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/legacy/detection/modeling/architecture/spinenet.py","lineNumber":346,"sourceCode":"          filters=target_num_filters,\n          strides=1,\n          block_fn_cand=target_block_fn,\n          block_repeats=self._block_repeats,\n          name='scale_permuted_block_{}'.format(i + 1))\n\n      net.append(x)\n      net_sizes.append(target_width)\n      net_block_fns.append(target_block_fn)\n      num_outgoing_connections.append(0)\n\n      # Save output feats.\n      if block_spec.is_output:\n        if block_spec.level in endpoints:\n          raise ValueError('Duplicate feats found for output level {}.'.format(\n              block_spec.level))\n        if (block_spec.level < self._min_level or\n            block_spec.level > self._max_level):\n          raise ValueError('Output level is out of range [{}, {}]'.format(\n              self._min_level, self._max_level))\n        endpoints[block_spec.level] = x\n\n    return endpoints\n\n  def _build_endpoints(self, net):\n    \"\"\"Match filter size for endpoints before sharing conv layers.\"\"\"\n    endpoints = {}\n    for level in range(self._min_level, self._max_level + 1):\n      x = layers.Conv2D(\n          filters=self._endpoints_num_filters,\n          kernel_size=1,\n          strides=1,\n          use_bias=False,\n          kernel_initializer=self._kernel_initializer,\n          kernel_regularizer=self._kernel_regularizer,\n          bias_regularizer=self._bias_regularizer)(\n              net[level])","sourceCodeStart":328,"sourceCodeEnd":364,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/legacy/detection/modeling/architecture/spinenet.py#L328-L364","documentation":"Error \"Output level is out of range [{}, {}]\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/legacy/detection/modeling/architecture/spinenet.py:346 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}