onnxruntime

Fix symbolic shape inference script on precision loss issue (#15215)

### Description
When calculating symbolic shape like `mul(get_int_val(values=[1024,
0.5]))`,
the current script calls `get_int_val()` to get values, which values
becomes `[1024, 0]`.
Thus, the result of `mul(values)`->`mul([1024,0])`=0, but the expected
shape size is 512

Fix: for math binary operations like `mul()` and `div()`, 
don't convert input shapes into integers if any possible precision loss
happen;
keep the input shape as float, finish the operation, and cast final
result into integer and output the shape.

Test cases are added:
1. mul(1024, 0.5)=>512 (before this fix, the output would be 0, as float
0.5 would be converted to int 0)
2. div(768, 1.5)=>512 (before this fix, the output would be 768, as
float 1.5 would be converted to int 0)

### Motivation and Context
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