{"record":{"id":"db888d808b9c6f78","repo":"keras-team/keras","slug":"dot-product-attention-only-supports-4d-inputs-r-db888d","errorCode":null,"errorMessage":"`dot_product_attention` only supports 4D inputs. Received: query.shape={query.shape}, key.shape={key.shape}, value.shape={value.shape}.","messagePattern":"`dot_product_attention` only supports 4D inputs\\. Received: query\\.shape=(.+?), key\\.shape=(.+?), value\\.shape=(.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/nn.py","lineNumber":1435,"sourceCode":"    mask=None,\n    scale=None,\n    is_causal=False,\n    flash_attention=None,\n    attn_logits_soft_cap=None,\n):\n    if flash_attention is None:\n        flash_attention = False\n    if flash_attention:\n        raise ValueError(\"Flash attention is not supported in numpy backend.\")\n\n    # Ref: jax.nn.dot_product_attention\n    # https://github.com/jax-ml/jax/blob/jax-v0.4.32/jax/_src/nn/functions.py#L828\n    # Not support `query_seq_lengths` and `key_value_seq_lengths` args\n    query = convert_to_tensor(query)\n    key = convert_to_tensor(key)\n    value = convert_to_tensor(value)\n    if len(query.shape) != 4:\n        raise ValueError(\n            \"`dot_product_attention` only supports 4D inputs. \"\n            f\"Received: query.shape={query.shape}, key.shape={key.shape}, \"\n            f\"value.shape={value.shape}.\"\n        )\n    compute_dtype = backend.result_type(query.dtype, key.dtype, value.dtype)\n    query = cast(query, compute_dtype)\n    key = cast(key, compute_dtype)\n    value = cast(value, compute_dtype)\n    if bias is not None:\n        bias = convert_to_tensor(bias, dtype=compute_dtype)\n\n    _, _, _, H = key.shape\n    scale = (1.0 / np.sqrt(H)) if scale is None else scale\n    return _dot_product_attention_xla(\n        query, key, value, bias, mask, is_causal, scale\n    )\n\n","sourceCodeStart":1417,"sourceCodeEnd":1453,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/nn.py#L1417-L1453","documentation":"Error \"`dot_product_attention` only supports 4D inputs. Received: query.shape={query.shape}, key.shape={key.shape}, value.shape={value.shape}.\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/nn.py:1435 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"}