[Test] Omit removing of the temporary file which contains the input values and created a .cpp for testing the single node execution

since w1a2 is coming

[Code generation] Rename code_gen dictionary keys and copied new finn-hls-onnx-model with quantization_annotation to data path

[Test] Test now runs smoothly because of merge of streamlining branch into dev, also corrected the datatype to capital letters

[Test] Added setting of the tensor datatypes in test file, does not correspond to modelwrapper.py version yet

[Code Generation] Added stream declaration to output dictionary and [Test] run pre-commit so little changes in tab size and spacing

[Test] Added unit test for code generation (at the moment it only calls the function code_gen with the finn-hls-model in the data folder) and [Code Generation] Added function to extract the layer attributes

[Test] Created new branch and python script for manually construction of onnx graph based on an example of the finn hls library, Deleted obsolete mixed_model.onnx in data path

[Test] Changed verification method to a check if all tensor shapes are set and the output of the new node has specific value

[Test] Test for shape inference creates now a mixed model and performs shape inference. Afterwards it is executed to check if it still works