{"record":{"id":"19509ba5e1060fcb","repo":"keras-team/keras","slug":"arguments-target-and-output-must-have-the-same-19509b","errorCode":null,"errorMessage":"Arguments `target` and `output` must have the same shape. Received: target.shape={target.shape}, output.shape={output.shape}","messagePattern":"Arguments `target` and `output` must have the same shape\\. Received: target\\.shape=(.+?), output\\.shape=(.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/nn.py","lineNumber":865,"sourceCode":"\ndef multi_hot(x, num_classes, axis=-1, dtype=None, sparse=False):\n    if sparse:\n        raise ValueError(\"Unsupported value `sparse=True` with numpy backend\")\n    x = convert_to_tensor(x)\n    reduction_axis = 1 if len(x.shape) > 1 else 0\n    outputs = np.max(\n        one_hot(cast(x, \"int32\"), num_classes, axis=axis, dtype=dtype),\n        axis=reduction_axis,\n    )\n    return outputs\n\n\ndef categorical_crossentropy(target, output, from_logits=False, axis=-1):\n    target = np.array(target)\n    output = np.array(output)\n\n    if target.shape != output.shape:\n        raise ValueError(\n            \"Arguments `target` and `output` must have the same shape. \"\n            \"Received: \"\n            f\"target.shape={target.shape}, output.shape={output.shape}\"\n        )\n    if len(target.shape) < 1:\n        raise ValueError(\n            \"Arguments `target` and `output` must be at least rank 1. \"\n            \"Received: \"\n            f\"target.shape={target.shape}, output.shape={output.shape}\"\n        )\n\n    if from_logits:\n        log_prob = log_softmax(output, axis=axis)\n    else:\n        output = output / np.sum(output, axis, keepdims=True)\n        output = np.clip(output, backend.epsilon(), 1.0 - backend.epsilon())\n        log_prob = np.log(output)\n    return -np.sum(target * log_prob, axis=axis)","sourceCodeStart":847,"sourceCodeEnd":883,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/nn.py#L847-L883","documentation":"Error \"Arguments `target` and `output` must have the same shape. Received: target.shape={target.shape}, output.shape={output.shape}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/nn.py:865 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"}