{"record":{"id":"1fd8a0e7ad17c4eb","repo":"keras-team/keras","slug":"invalid-ord-argument-for-matrix-norm-received-1fd8a0","errorCode":null,"errorMessage":"Invalid `ord` argument for matrix norm. Received: ord={self.ord}","messagePattern":"Invalid `ord` argument for matrix norm\\. Received: ord=(.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/ops/linalg.py","lineNumber":324,"sourceCode":"            axis = self.axis\n        num_axes = len(axis)\n        if num_axes == 1 and isinstance(self.ord, str):\n            raise ValueError(\n                \"Invalid `ord` argument for vector norm. \"\n                f\"Received: ord={self.ord}\"\n            )\n        elif num_axes == 2 and self.ord not in (\n            None,\n            \"fro\",\n            \"nuc\",\n            float(\"inf\"),\n            float(\"-inf\"),\n            1,\n            -1,\n            2,\n            -2,\n        ):\n            raise ValueError(\n                \"Invalid `ord` argument for matrix norm. \"\n                f\"Received: ord={self.ord}\"\n            )\n        return KerasTensor(\n            reduce_shape(x.shape, axis=self.axis, keepdims=self.keepdims),\n            dtype=output_dtype,\n        )\n\n    def call(self, x):\n        x = backend.convert_to_tensor(x)\n        return backend.linalg.norm(\n            x, ord=self.ord, axis=self.axis, keepdims=self.keepdims\n        )\n\n\n@keras_export([\"keras.ops.norm\", \"keras.ops.linalg.norm\"])\ndef norm(x, ord=None, axis=None, keepdims=False):\n    \"\"\"Matrix or vector norm.","sourceCodeStart":306,"sourceCodeEnd":342,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/ops/linalg.py#L306-L342","documentation":"Error \"Invalid `ord` argument for matrix norm. Received: ord={self.ord}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/ops/linalg.py:324 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"}