{"record":{"id":"4407982114d1e9ca","repo":"tensorflow/models","slug":"the-type-of-input-shape-argument-is-not-supported","errorCode":null,"errorMessage":"The type of input shape argument is not supported, got: %s","messagePattern":"The type of input shape argument is not supported, got: (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/nlp/modeling/layers/reuse_transformer.py","lineNumber":146,"sourceCode":"    if self._layer_idx is not None and (\n        self._layer_idx == 0 or (self._max_reuse_layer_idx is not None and\n                                 self._max_reuse_layer_idx < self._layer_idx)):\n      self._reuse_attention = 0\n    if attention_initializer:\n      self._attention_initializer = tf_keras.initializers.get(\n          attention_initializer)\n    else:\n      self._attention_initializer = tf_utils.clone_initializer(\n          self._kernel_initializer)\n    self._attention_axes = attention_axes\n\n  def build(self, input_shape):\n    if isinstance(input_shape, tf.TensorShape):\n      input_tensor_shape = input_shape\n    elif isinstance(input_shape, (list, tuple)):\n      input_tensor_shape = tf.TensorShape(input_shape[0])\n    else:\n      raise ValueError(\n          \"The type of input shape argument is not supported, got: %s\" %\n          type(input_shape))\n    einsum_equation = \"abc,cd->abd\"\n    if len(input_tensor_shape.as_list()) > 3:\n      einsum_equation = \"...bc,cd->...bd\"\n    hidden_size = input_tensor_shape[-1]\n    if self._head_size is None:\n      if hidden_size % self._num_heads != 0:\n        raise ValueError(\n            \"The input size (%d) is not a multiple of the number of attention \"\n            \"heads (%d)\" % (hidden_size, self._num_heads))\n      self._attention_head_size = int(hidden_size // self._num_heads)\n    else:\n      self._attention_head_size = self._head_size\n    common_kwargs = dict(\n        kernel_regularizer=self._kernel_regularizer,\n        bias_regularizer=self._bias_regularizer,\n        activity_regularizer=self._activity_regularizer,","sourceCodeStart":128,"sourceCodeEnd":164,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/nlp/modeling/layers/reuse_transformer.py#L128-L164","documentation":"Error \"The type of input shape argument is not supported, got: %s\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/nlp/modeling/layers/reuse_transformer.py:146 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"}