{"record":{"id":"2f7643895d1bbefe","repo":"tensorflow/models","slug":"unexpected-inputs-type-to-s-2f7643","errorCode":null,"errorMessage":"Unexpected inputs type to %s.","messagePattern":"Unexpected inputs type to (.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/perceiver/modeling/networks/sequence_encoder.py","lineNumber":141,"sourceCode":"    \"\"\"Get embedding table.\"\"\"\n    return self._embedding_layer.embeddings\n\n  def call(self,\n           inputs: Dict[str, tf.Tensor],\n           training: Optional[bool] = None) -> Dict[str, tf.Tensor]:\n    \"\"\"Return encoded and processed latent output of inputs.\n\n    Args:\n      inputs:\n        Expect inputs to be a dictionary of `input_word_ids` and `input_mask`.\n      training:\n        Flag to indicate training status.\n\n    Returns:\n      `Dict[str, tf.Tensor]` decoded output of latent vector via the query.\n    \"\"\"\n    if not isinstance(inputs, dict):\n      raise ValueError('Unexpected inputs type to %s.' % self.__class__)\n    word_ids = inputs['input_word_ids']\n    input_mask = inputs.get('input_mask')\n\n    word_embeddings = self._embedding_layer(word_ids)\n    pos_encodings = self._input_pos_encoding(word_embeddings)\n    embeddings = word_embeddings + pos_encodings\n\n    tensor_for_shape = tf.ones(\n        [tf.shape(embeddings)[0], self._z_index_dim, self._d_latents],\n        dtype=embeddings.dtype)\n    encoder_query = self._z_pos_enc(tensor_for_shape)\n\n    z = self._encoder(\n        [embeddings, encoder_query], input_mask=input_mask, training=training)\n    return dict(latent_output=z)\n","sourceCodeStart":123,"sourceCodeEnd":157,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/perceiver/modeling/networks/sequence_encoder.py#L123-L157","documentation":"Error \"Unexpected inputs type to %s.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/perceiver/modeling/networks/sequence_encoder.py:141 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"}