The code was developed and tested with python 3.7.3 on Ubuntu 18.04 with CUDA 10.0 and cuDNN 7.4.2
For the code to run as intended, all the packages under requirements.txt should be installed. In order not to break previous installation, it's highly recommend to create a virtual environment to install such packages. Here follows an example of set-up by using conda environment from the root of the repository:
# Create a conda environment with python3.7.3 and activate it:
conda create -n bd python=3.7.3
conda activate bd
# Once the virtualenv is activated, install the dependencies
conda install -c conda-forge tensorflow=1.13
conda install nb_conda_kernels # if you want to use jupyter notebook
# Once you change directories into the root path of the project
pip3 install -r requirements.txt
# conda environment is setted up
## if you want to delete the conda environment, type in: conda remove -n bd --all