{"record":{"id":"e759e4c4ebc0bcef","repo":"tensorflow/models","slug":"unsurpported-pool-type-s","errorCode":null,"errorMessage":"Unsurpported pool_type %s","messagePattern":"Unsurpported pool_type (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/maxvit/modeling/common_ops.py","lineNumber":80,"sourceCode":"  if act_fn is None:\n    act_fn = 'gelu'\n  if isinstance(act_fn, str):\n    return functools.partial(activation_fn, act_fn=act_fn)\n  elif callable(act_fn):\n    return act_fn\n  else:\n    raise ValueError('Unsupported act_fn %s.' % act_fn)\n\n\ndef pooling_2d(inputs, pool_type, stride, **kwargs):\n  \"\"\"Perform 2D pooling.\"\"\"\n  if stride > 1:\n    if pool_type == 'max':\n      pool_op = tf_keras.layers.MaxPool2D\n    elif pool_type == 'avg':\n      pool_op = tf_keras.layers.AveragePooling2D\n    else:\n      raise ValueError('Unsurpported pool_type %s' % pool_type)\n    output = pool_op(\n        pool_size=(stride, stride), strides=(stride, stride), **kwargs\n    )(inputs)\n  else:\n    output = inputs\n  return output\n\n\ndef drop_connect(inputs, training, survival_prob):\n  \"\"\"Drop the entire conv with given survival probability.\"\"\"\n  # \"Deep Networks with Stochastic Depth\", https://arxiv.org/pdf/1603.09382.pdf\n  if not training:\n    return inputs\n\n  # Compute tensor.\n  batch_size = tf.shape(inputs)[0]\n  random_tensor = survival_prob\n  random_tensor += tf.random.uniform([batch_size], dtype=inputs.dtype)","sourceCodeStart":62,"sourceCodeEnd":98,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/maxvit/modeling/common_ops.py#L62-L98","documentation":"Error \"Unsurpported pool_type %s\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/maxvit/modeling/common_ops.py:80 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"}