def METHOD_NAME(onnx_model: onnx.ModelProto):
    bias = helper.make_tensor("bias", onnx.TensorProto.FLOAT, (1,), [1])
    gemm = [n for n in onnx_model.graph.node if n.op_type == "Conv"][0]
    gemm.input.append("bias")
    onnx_model.graph.initializer.append(bias)
    validate_onnx(onnx_model)
    onnx_model = ConvToQLinearConv().apply(onnx_model)
    validate_onnx(onnx_model)
    assert [i.name for i in onnx_model.graph.initializer] == [
        "x_scale",
        "y_scale",
        "zero_point",
        "conv.weight_quantized",
        "conv.bias_quantized",
    ]
    assert [n.name for n in onnx_model.graph.node] == [
        "conv_quant",
    ]
    assert onnx_model.graph.node[0].op_type == "QLinearConv"