Blocking user from using optimize sign while casting the graph/ Removing constant folding flag from ptq

Small MR introducing a few corrections:

• Constant folding has been removed from the quantize_network() function and will soon be exposed independently via Pybind (Benjamin is currently working on this).

• Added an assert to ensure that users do not enable the optimizeSign flag when casting the graph. This feature will be available in upcoming PTQ merge requests.

• Updating the .gitignore file to exclude quantization_version.h

include/aidge/quantization/PTQ/PTQ.hpp

@@ -188,7 +188,6 @@ namespace Aidge {
      * @param singleShift Whether to convert the scaling factors into powers of two. If true the approximations are compensated using the previous nodes weights.
      * @param useCuda Wheter to speed up the PTQ by computing the values ranges using CUDA kernels. 
      * This flag does not set the backend of the graphview to "cuda" at the end of the PTQ pipeline 
-     * @param foldGraph Whether to apply the constant folding recipe which makes the end graphview much easier to read
      * @param bitshiftRounding Whether rounding should be applied after bit-shifting operations. If enabled, the result of bit-shifting is rounded to the nearest integer.
      * @param verbose Whether to print internal informations about the quantization process.
      */
@@ -201,7 +200,6 @@ namespace Aidge {
         bool optimizeSigns,
         bool singleShift,
         bool useCuda,
-        bool foldGraph,
         bool bitshiftRounding,
         bool verbose);
     /**