{"record":{"id":"5288de695f5b0cd1","repo":"keras-team/keras","slug":"adaptive-max-pool-supports-only-1d-2d-3d-5288de","errorCode":null,"errorMessage":"adaptive_max_pool supports only 1D/2D/3D","messagePattern":"adaptive_max_pool supports only 1D/2D/3D","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/ops/nn.py","lineNumber":598,"sourceCode":"            inputs, output_size, \"average\", data_format\n        )\n    if dims == 3:\n        return _adaptive_pool3d_impl(\n            inputs, output_size, \"average\", data_format\n        )\n    raise ValueError(\"adaptive_average_pool supports only 1D/2D/3D\")\n\n\ndef adaptive_max_pool(inputs, output_size, data_format=None):\n    data_format = standardize_data_format(data_format)\n    dims = inputs.ndim - 2\n    if dims == 1:\n        return _adaptive_pool1d_impl(inputs, output_size, \"max\", data_format)\n    if dims == 2:\n        return _adaptive_pool2d_impl(inputs, output_size, \"max\", data_format)\n    if dims == 3:\n        return _adaptive_pool3d_impl(inputs, output_size, \"max\", data_format)\n    raise ValueError(\"adaptive_max_pool supports only 1D/2D/3D\")\n\n\ndef _convert_to_lax_conv_dimension_numbers(\n    num_spatial_dims,\n    data_format=\"channels_last\",\n    transpose=False,\n):\n    \"\"\"Create a `lax.ConvDimensionNumbers` for the given inputs.\"\"\"\n    num_dims = num_spatial_dims + 2\n\n    if data_format == \"channels_last\":\n        spatial_dims = tuple(range(1, num_dims - 1))\n        inputs_dn = (0, num_dims - 1) + spatial_dims\n    else:\n        spatial_dims = tuple(range(2, num_dims))\n        inputs_dn = (0, 1) + spatial_dims\n\n    if transpose:","sourceCodeStart":580,"sourceCodeEnd":616,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/ops/nn.py#L580-L616","documentation":"Error \"adaptive_max_pool supports only 1D/2D/3D\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/ops/nn.py:598 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":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}