keras-team/keras · error · ValueError

`side` must be either 'left' or 'right'. Received: side={sid

Error message

`side` must be either 'left' or 'right'. Received: side={side}

What it means

Error "`side` must be either 'left' or 'right'. Received: side={side}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/openvino/numpy.py:4201

    x = get_ov_output(x)
    if axis is not None:
        # The Roll operation requires `shift` and `axis` to have the same
        # length, while numpy broadcasts them against each other.
        shifts, axes = normalize_shift_and_axis(shift, axis)
        result = ov_opset.roll(x, shifts, axes).output(0)
    else:
        output_shape = ov_opset.shape_of(x).output(0)
        flattened = ov_opset.reshape(
            x, ov_opset.constant([-1], Type.i32), False
        ).output(0)
        result = ov_opset.roll(flattened, shift, 0).output(0)
        result = ov_opset.reshape(result, output_shape, False).output(0)
    return OpenVINOKerasTensor(result)


def searchsorted(sorted_sequence, values, side="left"):
    if side not in ("left", "right"):
        raise ValueError(
            f"`side` must be either 'left' or 'right'. Received: side={side}"
        )
    sorted_sequence = get_ov_output(sorted_sequence)
    values = get_ov_output(values)

    if sorted_sequence.get_partial_shape().rank.get_length() != 1:
        raise ValueError(
            "`searchsorted` only supports 1-D sorted sequences. "
            "You can use `keras.ops.vectorized_map` "
            "to extend it to N-D sequences. Received: "
            f"sorted_sequence.shape={sorted_sequence.get_partial_shape()}"
        )

    sorted_sequence, values = _align_operand_types(
        sorted_sequence, values, "searchsorted()"
    )

    # Note: OpenVINO's bucketize with_right_bound has opposite semantics

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/openvino/numpy.py:4201 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/1787eee7d218defd. Report an issue: GitHub.