{"record":{"id":"8c308c3c2204474a","repo":"keras-team/keras","slug":"jvp-is-not-supported-by-the-numpy-backend","errorCode":null,"errorMessage":"JVP is not supported by the Numpy backend.","messagePattern":"JVP is not supported by the Numpy backend\\.","errorType":"exception","errorClass":"NotImplementedError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/linalg.py","lineNumber":122,"sourceCode":"        raise ValueError(\n            \"Expected input to have rank >= 2. \"\n            f\"Received input with shape {x.shape}.\"\n        )\n    return np.linalg.matrix_rank(x, tol=tol).astype(\"int32\")\n\n\ndef matrix_power(a, n):\n    a = convert_to_tensor(a)\n    return np.linalg.matrix_power(a, n)\n\n\ndef pinv(x, rcond=None):\n    x = convert_to_tensor(x)\n    return np.linalg.pinv(x, rcond=rcond)\n\n\ndef jvp(fun, primals, tangents, has_aux=False):\n    raise NotImplementedError(\"JVP is not supported by the Numpy backend.\")\n","sourceCodeStart":104,"sourceCodeEnd":123,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/linalg.py#L104-L123","documentation":"Error \"JVP is not supported by the Numpy backend.\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/linalg.py:122 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"}