keras-team/keras · error · ValueError

input x is None

Error message

input x is None

What it means

Error "input x is None" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/openvino/numpy.py:1159

def bitwise_right_shift(x, y):
    element_type = None
    if isinstance(x, OpenVINOKerasTensor):
        element_type = x.output.get_element_type()
    if isinstance(y, OpenVINOKerasTensor):
        element_type = y.output.get_element_type()
    x = get_ov_output(x, element_type)
    y = get_ov_output(y, element_type)
    x, y = _align_operand_types(x, y, "bitwise_right_shift()")
    return OpenVINOKerasTensor(ov_opset.bitwise_right_shift(x, y).output(0))


def right_shift(x, y):
    return bitwise_right_shift(x, y)


def bincount(x, weights=None, minlength=0, sparse=False):
    if x is None:
        raise ValueError("input x is None")
    if sparse:
        raise ValueError("Unsupported value `sparse=True`")
    x = get_ov_output(x)
    x_type = x.get_element_type()
    shape_x = ov_opset.shape_of(x, "i64").output(0)
    rank_x = ov_opset.shape_of(shape_x, "i64").output(0)
    rank_x = ov_opset.convert(rank_x, x_type).output(0)
    scalar_shape = ov_opset.constant([], x_type).output(0)
    rank_x = ov_opset.reshape(rank_x, scalar_shape, False).output(0)
    const_minus_one = ov_opset.constant(-1, x_type).output(0)
    rank_minus_one = ov_opset.add(rank_x, const_minus_one).output(0)
    const_one = ov_opset.constant(1, x_type).output(0)
    const_zero = ov_opset.constant(0, x_type).output(0)
    minlength = get_ov_output(minlength)
    minlength = ov_opset.convert(minlength, x_type).output(0)
    max_element = ov_opset.reduce_max(x, const_zero, keep_dims=False).output(0)
    depth = ov_opset.add(max_element, const_one).output(0)
    depth = ov_opset.maximum(depth, minlength).output(0)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/openvino/numpy.py:1159 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/0e0bc00196511d13. Report an issue: GitHub.