##We integrated two versions of demo. One is based on jupyter notebook(begin with nb_*, end with *.ipynb), another is traditional python(begin with py_*, end with *.py).

#You can choose to run any version of demo, but:
#Each ipynb files include 6 Training parts, you can run or stop any part you want, and finally can run nb_Tensorboard.ipynb or py_pltResult.py for results.
#Each py files include 4 Training parts for each figure, you have to run thought all 4 Training parts until it is finished, and finally can run nb_Tensorboard.ipynb or py_pltResult.py for results.



##Install pytorch

#Please follow the instruction on PyTorch official website https://pytorch.org/get-started/locally/

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

#OR

conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia



##Other Requirments

pip install python>=3.8 tensorboard matplotlib numpy

#python>=3.8
#tensorboard
#matplotlib
#numpy