{"record":{"id":"f7301022c8804f76","repo":"tensorflow/models","slug":"unknown-squeeze-excitation-type","errorCode":null,"errorMessage":"Unknown squeeze excitation type: {}","messagePattern":"Unknown squeeze excitation type: (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/movinet/modeling/movinet.py","lineNumber":375,"sourceCode":"      stochastic_depth_drop_rate: the base rate for stochastic depth.\n      use_external_states: if True, expects states to be passed as additional\n        input.\n      output_states: if True, output intermediate states that can be used to run\n          the model in streaming mode. Inputting the output states of the\n          previous input clip with the current input clip will utilize a stream\n          buffer for streaming video.\n      average_pooling_type: The average pooling type. Currently supporting\n        ['3d', '2d', 'none'].\n      **kwargs: keyword arguments to be passed.\n    \"\"\"\n    block_specs = BLOCK_SPECS[model_id]\n    if input_specs is None:\n      input_specs = tf_keras.layers.InputSpec(shape=[None, None, None, None, 3])\n\n    if conv_type not in ('3d', '2plus1d', '3d_2plus1d'):\n      raise ValueError('Unknown conv type: {}'.format(conv_type))\n    if se_type not in ('3d', '2d', '2plus3d', 'none'):\n      raise ValueError('Unknown squeeze excitation type: {}'.format(se_type))\n\n    self._model_id = model_id\n    self._block_specs = block_specs\n    self._causal = causal\n    self._use_positional_encoding = use_positional_encoding\n    self._conv_type = conv_type\n    self._se_type = se_type\n    self._input_specs = input_specs\n    self._use_sync_bn = use_sync_bn\n    self._activation = activation\n    self._gating_activation = gating_activation\n    self._norm_momentum = norm_momentum\n    self._norm_epsilon = norm_epsilon\n    self._norm = tf_keras.layers.BatchNormalization\n    self._kernel_initializer = kernel_initializer\n    self._kernel_regularizer = kernel_regularizer\n    self._bias_regularizer = bias_regularizer\n    self._stochastic_depth_drop_rate = stochastic_depth_drop_rate","sourceCodeStart":357,"sourceCodeEnd":393,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/movinet/modeling/movinet.py#L357-L393","documentation":"Error \"Unknown squeeze excitation type: {}\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/movinet/modeling/movinet.py:375 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"}