{"record":{"id":"7feac55d1173c11d","repo":"keras-team/keras","slug":"unknown-resize-method-7feac5","errorCode":null,"errorMessage":"Unknown resize method","messagePattern":"Unknown resize method","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/ops/image.py","lineNumber":454,"sourceCode":"    )\n\n    input_size_minus_0_5 = input_size - 0.5\n    return np.where(\n        np.logical_and(sample_f >= -0.5, sample_f <= input_size_minus_0_5)[\n            np.newaxis, :\n        ],\n        weights,\n        0,\n    )\n\n\ndef _resize(image, shape, method, antialias):\n    if method == \"nearest\":\n        return _resize_nearest(image, shape)\n    else:\n        kernel = _kernels.get(method, None)\n    if kernel is None:\n        raise ValueError(\"Unknown resize method\")\n\n    spatial_dims = tuple(\n        i for i in range(len(shape)) if image.shape[i] != shape[i]\n    )\n    scale = [\n        shape[d] / image.shape[d] if image.shape[d] != 0 else 1.0\n        for d in spatial_dims\n    ]\n\n    return _scale_and_translate(\n        image,\n        shape,\n        spatial_dims,\n        scale,\n        [0.0] * len(spatial_dims),\n        kernel,\n        antialias,\n    )","sourceCodeStart":436,"sourceCodeEnd":472,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/ops/image.py#L436-L472","documentation":"Error \"Unknown resize method\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/ops/image.py:454 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"}