{"record":{"id":"d31c1899aa4375ad","repo":"keras-team/keras","slug":"input-with-shape-shape-does-not-have-enough-dime","errorCode":null,"errorMessage":"input with shape {shape} does not have enough dimensions for all core dimensions {core_dims}","messagePattern":"input with shape (.+?) does not have enough dimensions for all core dimensions (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/common/backend_utils.py","lineNumber":490,"sourceCode":"    signature,\n):\n    if not re.match(_SIGNATURE, signature):\n        raise ValueError(f\"not a valid gufunc signature: {signature}\")\n    args, retvals = (\n        [\n            tuple(re.findall(_DIMENSION_NAME, arg))\n            for arg in re.findall(_ARGUMENT, arg_list)\n        ]\n        for arg_list in signature.split(\"->\")\n    )\n    return args, retvals\n\n\ndef _vectorize_update_dim_sizes(dim_sizes, shape, core_dims, is_input=True):\n    num_core_dims = len(core_dims)\n    if is_input:\n        if len(shape) < num_core_dims:\n            raise ValueError(\n                f\"input with shape {shape} does not \"\n                \"have enough dimensions for all core \"\n                f\"dimensions {core_dims}\"\n            )\n    else:\n        if len(shape) != num_core_dims:\n            raise ValueError(\n                f\"output shape {shape} does not \"\n                f\"match core dimensions {core_dims}\"\n            )\n\n    core_shape = shape[-num_core_dims:] if core_dims else ()\n    for dim, size in zip(core_dims, core_shape):\n        if dim not in dim_sizes:\n            dim_sizes[dim] = size\n        elif size != dim_sizes[dim]:\n            raise ValueError(\n                f\"inconsistent size for core dimension {dim}: \"","sourceCodeStart":472,"sourceCodeEnd":508,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/common/backend_utils.py#L472-L508","documentation":"Error \"input with shape {shape} does not have enough dimensions for all core dimensions {core_dims}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/common/backend_utils.py:490 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"}