Dominik Fay DarthPumpkin

## cupy.Dockerfile
FROM tiangolo/python-machine-learning:cuda9.1-cudnn7-devel-python3.6

# RUN conda install tensorflow-gpu
RUN conda install -y cudatoolkit=9.0
RUN conda install -y jupyter matplotlib pandas pillow seaborn tqdm
RUN pip install h5py wandb
RUN pip install cupy-cuda91==7.0.0b3
RUN pip install jupyter_http_over_ws
RUN jupyter serverextension enable --py jupyter_http_over_ws

## tor.sh
#!/usr/bin/env bash

# 'Wi-Fi' or 'Ethernet' or 'Display Ethernet'
INTERFACE=Wi-Fi

# Ask for the administrator password upfront
sudo -v

# Keep-alive: update existing `sudo` time stamp until finished
while true; do sudo -n true; sleep 60; kill -0 "$$" || exit; done 2>/dev/null &
	FROM tiangolo/python-machine-learning:cuda9.1-cudnn7-devel-python3.6

	# RUN conda install tensorflow-gpu
	RUN conda install -y cudatoolkit=9.0
	RUN conda install -y jupyter matplotlib pandas pillow seaborn tqdm
	RUN pip install h5py wandb
	RUN pip install cupy-cuda91==7.0.0b3
	RUN pip install jupyter_http_over_ws
	RUN jupyter serverextension enable --py jupyter_http_over_ws
	#!/usr/bin/env bash

	# 'Wi-Fi' or 'Ethernet' or 'Display Ethernet'
	INTERFACE=Wi-Fi

	# Ask for the administrator password upfront
	sudo -v

	# Keep-alive: update existing `sudo` time stamp until finished
	while true; do sudo -n true; sleep 60; kill -0 "$$" \|\| exit; done 2>/dev/null &