{"record":{"id":"59ccfb025f28dcbf","repo":"tensorflow/models","slug":"filter-size-scale-is-not-greater-than-zero","errorCode":null,"errorMessage":"filter_size_scale is not greater than zero.","messagePattern":"filter_size_scale is not greater than zero\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/vision/modeling/backbones/mobiledet.py","lineNumber":401,"sourceCode":"      kernel_regularizer: A `tf_keras.regularizers.Regularizer` object for\n        Conv2D. Default to None.\n      bias_regularizer: A `tf_keras.regularizers.Regularizer` object for Conv2D.\n        Default to None.\n      min_depth: An `int` of minimum depth (number of channels) for all\n        convolution ops. Enforced when filter_size_scale < 1, and not an active\n        constraint when filter_size_scale >= 1.\n      divisible_by: An `int` that ensures all inner dimensions are divisible by\n        this number.\n      regularize_depthwise: If Ture, apply regularization on depthwise.\n      use_sync_bn: If True, use synchronized batch normalization.\n      **kwargs: Additional keyword arguments to be passed.\n    \"\"\"\n    if model_id not in SUPPORTED_SPECS_MAP:\n      raise ValueError('The MobileDet version {} '\n                       'is not supported'.format(model_id))\n\n    if filter_size_scale <= 0:\n      raise ValueError('filter_size_scale is not greater than zero.')\n\n    self._model_id = model_id\n    self._input_specs = input_specs\n    self._filter_size_scale = filter_size_scale\n    self._min_depth = min_depth\n    self._divisible_by = divisible_by\n    self._regularize_depthwise = regularize_depthwise\n    self._kernel_initializer = kernel_initializer\n    self._kernel_regularizer = kernel_regularizer\n    self._bias_regularizer = bias_regularizer\n    self._use_sync_bn = use_sync_bn\n    self._norm_momentum = norm_momentum\n    self._norm_epsilon = norm_epsilon\n\n    inputs = tf_keras.Input(shape=input_specs.shape[1:])\n\n    block_specs = SUPPORTED_SPECS_MAP.get(model_id)\n    self._decoded_specs = block_spec_decoder(","sourceCodeStart":383,"sourceCodeEnd":419,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/vision/modeling/backbones/mobiledet.py#L383-L419","documentation":"Error \"filter_size_scale is not greater than zero.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/vision/modeling/backbones/mobiledet.py:401 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":["Set filter_size_scale to a positive float (e.g. 1.0).","Remove filter_size_scale from the config to use the default scaling."],"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"}