{"record":{"id":"aaad108290d4b9ad","repo":"tensorflow/models","slug":"differential-privacy-config-is-specified-but-task","errorCode":null,"errorMessage":"Differential privacy config is specified but task.create_optimizer api does not accept it.","messagePattern":"Differential privacy config is specified but task\\.create_optimizer api does not accept it\\.","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/core/train_utils.py","lineNumber":258,"sourceCode":"    \"\"\"Returns the best ckpt path or None if there is no ckpt yet.\"\"\"\n    return tf.train.latest_checkpoint(self._export_dir)\n\n\ndef create_optimizer(task: base_task.Task,\n                     params: config_definitions.ExperimentConfig\n                     ) -> tf_keras.optimizers.Optimizer:\n  \"\"\"A create optimizer util to be backward compatability with new args.\"\"\"\n  if 'dp_config' in inspect.signature(task.create_optimizer).parameters:\n    dp_config = None\n    if hasattr(params.task, 'differential_privacy_config'):\n      dp_config = params.task.differential_privacy_config\n    optimizer = task.create_optimizer(\n        params.trainer.optimizer_config, params.runtime,\n        dp_config=dp_config)\n  else:\n    if hasattr(params.task, 'differential_privacy_config'\n              ) and params.task.differential_privacy_config is not None:\n      raise ValueError('Differential privacy config is specified but '\n                       'task.create_optimizer api does not accept it.')\n    optimizer = task.create_optimizer(\n        params.trainer.optimizer_config,\n        params.runtime)\n  return optimizer\n\n\n@gin.configurable\ndef create_trainer(params: config_definitions.ExperimentConfig,\n                   task: base_task.Task,\n                   train: bool,\n                   evaluate: bool,\n                   checkpoint_exporter: Optional[BestCheckpointExporter] = None,\n                   trainer_cls=base_trainer.Trainer) -> base_trainer.Trainer:\n  \"\"\"Create trainer.\"\"\"\n  logging.info('Running default trainer.')\n  model = task.build_model()\n  optimizer = create_optimizer(task, params)","sourceCodeStart":240,"sourceCodeEnd":276,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/core/train_utils.py#L240-L276","documentation":"Error \"Differential privacy config is specified but task.create_optimizer api does not accept it.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/core/train_utils.py:258 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"}