Neg operator

[MirkoCalvi]

Current Problem

Code the Neg operator respecting the (Neg Onnx Standard)[https://onnx.ai/onnx/operators/onnx__Neg.html]

To complete this issue you must:

• write the standard and lean math
• write the tests for the math
• write the codegen (math_handler and shape_handler, use the same get_Neg_output_shape() you wrote for the standard math)
• write the function inside the onnx_gen.py

Rules

ONNX standard

Every math method must respect the onnx representation.
You can find all the necessary details about onnx operators here !

Standard & lean format

The "standard version" of a method is in the format:

    pub fn methodName (args) !Tensor(T) {
       ...
       outputShape = compute output shape...
       outputTensor = compute output tensor...
       ...
       methodName_lean(input, args..., output)

       return outputTensor;
    }

It is suggested to write a get_methodName_oputput_shape() to compute the shape of the output so that the same method can be called during the generation of the readyGraph.

The "lean version" of a method is in the format:

    pub inline fn methodName_lean (args) void {
       ...
       ... actual computation of the output
    }

"lean" and "standard" are mandatory.
The lean version is called during the codegen and the standard version is used in testings.

[huly-for-github]

Connected to Huly®: X_PI-326