keras-team/keras · error · ValueError

diagonal requires input tensor with rank >= 2.Given rank: {r

Error message

diagonal requires input tensor with rank >= 2.Given rank: {rank}

What it means

Error "diagonal requires input tensor with rank >= 2.Given rank: {rank}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/openvino/numpy.py:1675

        neg_k_const = ov_opset.constant(-k_val, dtype=Type.i32).output(0)
        rows = ov_opset.add(rng, neg_k_const).output(0)
        cols = rng

    rows_expanded = ov_opset.reshape(rows, [-1, 1], False).output(0)
    cols_expanded = ov_opset.reshape(cols, [-1, 1], False).output(0)
    indices = ov_opset.concat([rows_expanded, cols_expanded], 1).output(0)

    result = ov_opset.scatter_nd_update(zeros_mat, indices, v_flat).output(0)
    return OpenVINOKerasTensor(result)


def diagonal(x, offset=0, axis1=0, axis2=1):
    x = get_ov_output(x)
    rank = x.get_partial_shape().rank.get_length()
    if rank is None:
        raise ValueError("`diagonal` requires input tensor with static rank.")
    if rank < 2:
        raise ValueError(
            f"diagonal requires input tensor with rank >= 2.Given rank: {rank}"
        )
    axis1 = canonicalize_axis(axis1, rank)
    axis2 = canonicalize_axis(axis2, rank)
    if axis1 == axis2:
        raise ValueError("`axis1` and `axis2` cannot be the same.")

    perm_order = [axis1, axis2] + [
        i for i in range(rank) if i != axis1 and i != axis2
    ]
    perm_const = ov_opset.constant(perm_order, dtype=Type.i32).output(0)
    x_transposed = ov_opset.transpose(x, perm_const)

    # Build the (row, col) index pairs in the graph so the diagonalized axes
    # may be dynamic.
    zero = ov_opset.constant(0, Type.i32).output(0)
    one = ov_opset.constant(1, Type.i32).output(0)
    offset_const = ov_opset.constant(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/openvino/numpy.py:1675 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/820456b1162f1752. Report an issue: GitHub.