{"record":{"id":"35565f037edb982f","repo":"tensorflow/models","slug":"unexpected-inputs-type-to-s-35565f","errorCode":null,"errorMessage":"Unexpected inputs type to %s.","messagePattern":"Unexpected inputs type to (.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/nlp/modeling/networks/funnel_transformer.py","lineNumber":484,"sourceCode":"        word_ids, mask, type_ids, dense_inputs, dense_mask, dense_type_ids = (\n            inputs\n        )\n      else:\n        raise ValueError(\n            'Unexpected inputs to %s with length at %d.'\n            % (self.__class__, len(inputs))\n        )\n    elif isinstance(inputs, dict):\n      word_ids = inputs.get('input_word_ids')\n      mask = inputs.get('input_mask')\n      type_ids = inputs.get('input_type_ids')\n      word_embeddings = inputs.get('input_word_embeddings', None)\n\n      dense_inputs = inputs.get('dense_inputs', None)\n      dense_mask = inputs.get('dense_mask', None)\n      dense_type_ids = inputs.get('dense_type_ids', None)\n    else:\n      raise ValueError('Unexpected inputs type to %s.' % self.__class__)\n\n    if word_embeddings is None:\n      word_embeddings = self._embedding_layer(word_ids)\n\n    if dense_inputs is not None:\n      # Allow concatenation of the dense embeddings at sequence end if requested\n      # and `unpool_length`` is set as zero\n      if self._append_dense_inputs:\n        if self._unpool_length != 0:\n          raise ValueError(\n              'unpool_length is not supported by append_dense_inputs now.'\n          )\n        word_embeddings = tf.concat([word_embeddings, dense_inputs], axis=1)\n        type_ids = tf.concat([type_ids, dense_type_ids], axis=1)\n        mask = tf.concat([mask, dense_mask], axis=1)\n      else:\n        # Concat the dense embeddings at sequence begin so unpool_len can\n        # control embedding not being pooled.","sourceCodeStart":466,"sourceCodeEnd":502,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/nlp/modeling/networks/funnel_transformer.py#L466-L502","documentation":"Error \"Unexpected inputs type to %s.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/nlp/modeling/networks/funnel_transformer.py:484 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"}