keras-team/keras · error · ValueError

`dot_product_attention` only supports 4D inputs. Received: q

Error message

`dot_product_attention` only supports 4D inputs. Received: query.shape={query.shape}, key.shape={key.shape}, value.shape={value.shape}.

What it means

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.

Source

Thrown at keras/src/backend/numpy/nn.py:1435

    mask=None,
    scale=None,
    is_causal=False,
    flash_attention=None,
    attn_logits_soft_cap=None,
):
    if flash_attention is None:
        flash_attention = False
    if flash_attention:
        raise ValueError("Flash attention is not supported in numpy backend.")

    # Ref: jax.nn.dot_product_attention
    # https://github.com/jax-ml/jax/blob/jax-v0.4.32/jax/_src/nn/functions.py#L828
    # Not support `query_seq_lengths` and `key_value_seq_lengths` args
    query = convert_to_tensor(query)
    key = convert_to_tensor(key)
    value = convert_to_tensor(value)
    if len(query.shape) != 4:
        raise ValueError(
            "`dot_product_attention` only supports 4D inputs. "
            f"Received: query.shape={query.shape}, key.shape={key.shape}, "
            f"value.shape={value.shape}."
        )
    compute_dtype = backend.result_type(query.dtype, key.dtype, value.dtype)
    query = cast(query, compute_dtype)
    key = cast(key, compute_dtype)
    value = cast(value, compute_dtype)
    if bias is not None:
        bias = convert_to_tensor(bias, dtype=compute_dtype)

    _, _, _, H = key.shape
    scale = (1.0 / np.sqrt(H)) if scale is None else scale
    return _dot_product_attention_xla(
        query, key, value, bias, mask, is_causal, scale
    )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/nn.py:1435 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/db888d808b9c6f78. Report an issue: GitHub.