{"record":{"id":"c6194466042a9341","repo":"tensorflow/models","slug":"unknown-optimizer-s","errorCode":null,"errorMessage":"Unknown optimizer %s","messagePattern":"Unknown optimizer (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/legacy/image_classification/optimizer_factory.py","lineNumber":260,"sourceCode":"        learning_rate=base_learning_rate,\n        beta_1=beta_1,\n        beta_2=beta_2,\n        epsilon=epsilon)\n  elif optimizer_name == 'adamw':\n    logging.info('Using AdamW')\n    weight_decay = params.get('weight_decay', 0.01)\n    beta_1 = params.get('beta_1', 0.9)\n    beta_2 = params.get('beta_2', 0.999)\n    epsilon = params.get('epsilon', 1e-07)\n    optimizer = legacy_adamw.AdamWeightDecay(\n        learning_rate=base_learning_rate,\n        weight_decay_rate=weight_decay,\n        beta_1=beta_1,\n        beta_2=beta_2,\n        epsilon=epsilon,\n    )\n  else:\n    raise ValueError('Unknown optimizer %s' % optimizer_name)\n\n  if params.get('lookahead', None):\n    logging.info('Using lookahead optimizer.')\n    optimizer = Lookahead(optimizer)\n\n  # Moving average should be applied last, as it's applied at test time\n  moving_average_decay = params.get('moving_average_decay', 0.)\n  if moving_average_decay is not None and moving_average_decay > 0.:\n    if model is None:\n      raise ValueError(\n          '`model` must be provided if using `ExponentialMovingAverage`.')\n    logging.info('Including moving average decay.')\n    optimizer = optimization.ExponentialMovingAverage(\n        optimizer=optimizer, average_decay=moving_average_decay)\n    optimizer.shadow_copy(model)\n  return optimizer\n\n","sourceCodeStart":242,"sourceCodeEnd":278,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/legacy/image_classification/optimizer_factory.py#L242-L278","documentation":"Error \"Unknown optimizer %s\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/legacy/image_classification/optimizer_factory.py:260 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"}