{"record":{"id":"75df199154c484a4","repo":"tensorflow/models","slug":"unsupported-norm-type-self-norm-type","errorCode":null,"errorMessage":"Unsupported norm_type {self._norm_type}.","messagePattern":"Unsupported norm_type (.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/maxvit/modeling/maxvit.py","lineNumber":590,"sourceCode":"    if self._norm_type == 'layer_norm':\n      bn_class = functools.partial(\n          tf_keras.layers.LayerNormalization, epsilon=self._ln_epsilon\n      )\n    elif self._norm_type == 'batch_norm':\n      bn_class = functools.partial(\n          tf_keras.layers.BatchNormalization,\n          momentum=self._bn_momentum,\n          epsilon=self._bn_epsilon,\n      )\n    elif self._norm_type == 'sync_batch_norm':\n      bn_class = functools.partial(\n          tf_keras.layers.BatchNormalization,\n          momentum=self._bn_momentum,\n          epsilon=self._bn_epsilon,\n          synchronized=True,\n      )\n    else:\n      raise ValueError(f'Unsupported norm_type {self._norm_type}.')\n\n    _, self.height, self.width, _ = input_shape.as_list()\n    logging.info(\n        f'Build backbone with input size: ({self.height}, {self.width}).'\n    )\n\n    # Stem\n    stem_layers = []\n    for i, _ in enumerate(self._stem_hsize):\n      conv_layer = tf_keras.layers.Conv2D(\n          filters=self._stem_hsize[i],\n          kernel_size=self._kernel_size,\n          strides=2 if i == 0 else 1,\n          padding='same',\n          data_format=self._data_format,\n          kernel_initializer=self._kernel_initializer,\n          bias_initializer=self._bias_initializer,\n          use_bias=True,","sourceCodeStart":572,"sourceCodeEnd":608,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/maxvit/modeling/maxvit.py#L572-L608","documentation":"Error \"Unsupported norm_type {self._norm_type}.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/maxvit/modeling/maxvit.py:590 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"}