Unsupported left operand type for - ("FLOAT") [operator]

[tuanle0910]

Hi everyone, I am trying to use onnxscript to convert a function into a script via the @script decorator. I have two questions:

1. Is there any ways to do subtraction between an input with the FLOAT type and the input with np.float32? If not, how do I convert from one to the other (I have looked up ALL the possible documentations from onnx but it's not much helpful). Right now I keep getting the error error: Unsupported left operand type for - ("FLOAT") [operator] with note: Right operand is of type "BFLOAT16 | BOOL | COMPLEX128 | COMPLEX64 | DOUBLE | <11 more items>"
2. Can I still use the normal operator (e.g. +, -, :, *) to do addition/subtraction/division/multiplication within the function that is supposed to be rewritten into .onnx model? The reason I ask is because it looks like onnxscript needs data to be of TensorType?

Package versions. onnxscript = 0.1.0.dev2024112, onnx=1.17.0, onnxconverter-common=1.13.0, onnxruntime=1.20.0, skl2onnx=1.17.0

Example.

     import numpy as np
     import onnx
     import pandas as pd
     from onnxscript import FLOAT
     from onnxscript import opset15 as op
    from onnxscript import script      
    z1 = 5.0
    z2 = 3.0
    t1 = z1.astype('np.float32')
    t2 = z2.astype('np.float32')
    cum_mins = [1,2,3,4]
    @script()
    def model_1(x: FLOAT, y: FLOAT) -> Tuple[Any, Any]:
        # Define constants
        coeff1 = op.Constant(value_float=t1)
        coeff2 = op.Constant(value_float=t2)

        mean_x = op.Constant(value_float=x)
        mean_y = op.Constant(value_float=y)

        exp_arg = coeff1 * (x - mean_x) + coeff2 * (y - mean_y)    
        exp = op.Constant(value_float=0.75) * op.Exp(exp_arg)

        h = op.Constant(value_floats=cum_mins)

        return (exp, h)

[tuanle0910]

I'm sorry, but can someone please help me with my question above?