keras-team/keras · error · ValueError

`bins` must be 1-D array-like

Error message

`bins` must be 1-D array-like

What it means

Error "`bins` must be 1-D array-like" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/openvino/numpy.py:1815

            ellipsis_mask=[],
        ).output(0)

        if a_type == Type.boolean:
            result = ov_opset.not_equal(upper, lower).output(0)
        else:
            result = ov_opset.subtract(upper, lower).output(0)
    return OpenVINOKerasTensor(result)


def digitize(x, bins):
    x_node = get_ov_output(x)

    if isinstance(bins, OpenVINOKerasTensor):
        bins_node = get_ov_output(bins)
    else:
        bins_np = np.asarray(bins)
        if bins_np.ndim != 1:
            raise ValueError("`bins` must be 1-D array-like")
        bins_node = ov_opset.constant(bins_np).output(0)

    x_node, bins_node = _align_operand_types(x_node, bins_node, "digitize()")

    if x_node.get_element_type() == Type.boolean:
        x_node = ov_opset.convert(x_node, Type.f32).output(0)
        bins_node = ov_opset.convert(bins_node, Type.f32).output(0)

    result = ov_opset.bucketize(
        x_node,
        bins_node,
        output_type=Type.i32,
        with_right_bound=False,
    ).output(0)

    return OpenVINOKerasTensor(result)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/openvino/numpy.py:1815 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/8c14203101293ca3. Report an issue: GitHub.