{"record":{"id":"765691963f291a81","repo":"tensorflow/models","slug":"unexpected-inputs-type-to-s-765691","errorCode":null,"errorMessage":"Unexpected inputs type to %s.","messagePattern":"Unexpected inputs type to (.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/lra/mega_encoder.py","lineNumber":214,"sourceCode":"        word_ids = inputs.get('input_word_ids')\n        mask = inputs.get('input_mask')\n        type_ids = inputs.get('input_type_ids', None)\n        word_embeddings = inputs.get('input_word_embeddings', None)\n      elif 'left_word_ids' in inputs.keys():\n        word_ids = inputs.get('left_word_ids')\n        mask = inputs.get('left_mask')\n      elif 'right_word_ids' in inputs.keys():\n        word_ids = inputs.get('right_word_ids')\n        mask = inputs.get('right_mask')\n      dense_inputs = inputs.get('dense_inputs', None)\n      dense_mask = inputs.get('dense_mask', None)\n    elif isinstance(inputs, list):\n      ## Dual Encoder Tasks\n      word_ids, mask = inputs\n      type_ids = None\n      dense_inputs, dense_mask = None, None\n    else:\n      raise ValueError('Unexpected inputs type to %s.' % self.__class__)\n\n    if type_ids is None:  # pyrefly: ignore[unbound-name]\n      type_ids = tf.zeros_like(mask)  # pyrefly: ignore[unbound-name]\n\n    if word_embeddings is None:\n      word_embeddings = self._embedding_layer(word_ids)  # pyrefly: ignore[unbound-name]\n\n    if dense_inputs is not None:\n      mask = tf.concat([mask, dense_mask], axis=1)\n\n    embeddings = self._embedding_norm_layer(word_embeddings)\n    embeddings = self._embedding_dropout(embeddings)\n\n    encoder_outputs = []\n    x = embeddings\n\n    for l in range(self._num_layers):\n      if x.shape[0] is None:","sourceCodeStart":196,"sourceCodeEnd":232,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/lra/mega_encoder.py#L196-L232","documentation":"Error \"Unexpected inputs type to %s.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/lra/mega_encoder.py:214 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"}