zbench: A simple CM kernel launchpad

Introduction

Using dxd12 runtime and intel graphics dev extension to compile and running a CM shader,
Using Pybind11 to construct the interface, which means all the IO tensors, build options, shader params are setup from python file.
- All the IO buffers are in Numpy array format. and direct setup as the kernel input arguments.
- All the Hyper parameters are setup through C/C++ Macros, which means contained in build options in format like -Dxxxx=123
- the param name and value are flexible, except that buffers should follow the order of your CM kernel input.
- 3 necessary args should be given in a fixed name: cm_file, build_options, and iter_nums
Assign the iteration numbers by iter_nums, and usually put it in the last arg of launch_rt_igdext()
For more information, please find out the examples in zbench/tests:

you need have oneAPI base toolkit installed in your windows machine. after installed, you can find setvars.bat in your oneAPI target path, and run following cmd in your terminal shell:
```
cmd "/K" '"{Your OneAPI Path}\setvars.bat" && powershell'
```

create a python environment(here using conda), and activate it:

conda create -n kernel_dev python==3.10.13
conda activate kernel_dev
pip install -r requirements

clone the repo:

git clone
git submodule init
git submodule update

entering zbench folder and build or install it:

cd zbench
// direct build & install 
python setup.py install
// only build
python setup.py build

if you want build python wheels:
```
python setup.py bdist_wheel
```
the wheel files would be exists in folder zbench/dist

create a python environment(here using conda), and activate it:

conda create -n kernel_dev python==3.10.13
conda activate kernel_dev
pip install -r requirements

install the zbench wheel:

pip install zbench-0.0.0-cp310-cp310-win_amd64.whl

python dxdispatch_dump_data_llama2.py

python test_flash_att_llm.py