  
  2. Install latest CUDA
  CUDA: https://developer.nvidia.com/cuda-downloads
  
  3. Install Nvidia-Docker
  https://github.com/NVIDIA/nvidia-docker
  
  4. Build Docker Image For Faceswap
  docker build -t deepfakes-gpu -f Dockerfile.gpu .
  
 
</s> remove # without gui. tools.py gui working.
docker run -p 8888:8888 --hostname faceswap-gpu --name faceswap-gpu -v {path}:/srv faceswap-gpu
 </s> add # without gui. tools.py gui not working.
docker run -p 8888:8888 \
    --hostname faceswap-gpu --name faceswap-gpu \
    -v {path}:/srv \
    faceswap-gpu </s> remove docker run -p 8888:8888 --hostname faceswap-cpu --name faceswap-cpu -v {path}:/srv faceswap-cpu
 </s> add docker run -p 8888:8888 \
    --hostname faceswap-cpu --name faceswap-cpu \
    -v {path}:/srv \
    faceswap-cpu </s> remove docker run -p 8888:8888 \\
 </s> add ## enable local access to X11 server
xhost +local:
## create container
nvidia-docker run -p 8888:8888 \\ </s> remove # with gui. tools.py gui not working.
docker run -p 8888:8888 \\
 </s> add # with gui. tools.py gui working.
## enable local access to X11 server
xhost +local:
## enable nvidia device if working under bumblebee
echo ON > /proc/acpi/bbswitch
## create container
nvidia-docker run -p 8888:8888 \\
3. Install Nvidia-Docker & Restart Docker Service
  
  2. Install latest CUDA
  CUDA: https://developer.nvidia.com/cuda-downloads
  
3. Install Nvidia-Docker & Restart Docker Service
  https://github.com/NVIDIA/nvidia-docker
  
  4. Build Docker Image For Faceswap
  docker build -t deepfakes-gpu -f Dockerfile.gpu .
  
keep keep keep keep replace keep keep keep keep keep
 Fix bug in docker image tf/tf:latest-gpu-py3 (#400) 
setup.py