Docker Image with Nvidia support

Dockerfile

@@ -0,0 +1,50 @@
+FROM nvidia/cuda:7.5-cudnn5-devel-ubuntu14.04
+
+RUN apt-get update && apt-get install -y \
+	git \
+    curl \
+    wget \
+    sudo 
+
+# Install torch
+RUN git clone https://github.com/torch/distro.git ~/torch --recursive
+RUN cd ~/torch; bash install-deps; ./install.sh -b
+
+# Export environment variables manually (https://github.com/Kaixhin/dockerfiles/blob/master/cuda-torch/cuda_v8.0/Dockerfile)
+ENV LUA_PATH='/root/.luarocks/share/lua/5.1/?.lua;/root/.luarocks/share/lua/5.1/?/init.lua;/root/torch/install/share/lua/5.1/?.lua;/root/torch/install/share/lua/5.1/?/init.lua;./?.lua;/root/torch/install/share/luajit-2.1.0-beta1/?.lua;/usr/local/share/lua/5.1/?.lua;/usr/local/share/lua/5.1/?/init.lua'
+ENV LUA_CPATH='/root/torch/install/lib/?.so;/root/.luarocks/lib/lua/5.1/?.so;/root/torch/install/lib/lua/5.1/?.so;./?.so;/usr/local/lib/lua/5.1/?.so;/usr/local/lib/lua/5.1/loadall.so'
+ENV PATH=/root/torch/install/bin:$PATH
+ENV LD_LIBRARY_PATH=/root/torch/install/lib:$LD_LIBRARY_PATH
+ENV DYLD_LIBRARY_PATH=/root/torch/install/lib:$DYLD_LIBRARY_PATH
+
+# Install CUDA and cuDNN backend
+RUN luarocks install image && \
+    luarocks install lua-cjson && \
+    luarocks install cutorch && \
+    luarocks install cunn && \
+    luarocks install cudnn 
+
+# Download neural-style
+RUN git clone https://github.com/jcjohnson/fast-neural-style.git fast-neural-style
+
+# create volume for the images
+RUN mkdir /images
+VOLUME /images
+
+# Download models
+RUN cd fast-neural-style; bash models/download_style_transfer_models.sh
+
+# Prepare execution environment
+WORKDIR /fast-neural-style/
+
+
+
+#RUN ls -al /root/torch/install/lib/lua/5.1/
+CMD th neural_style.lua -gpu 0 -print_iter 1
+
+# set neural_style as entrypoint
+# ENTRYPOINT [ "th",  "neural_style.lua", "-gpu", "0", "-backend", "cudnn", "-cudnn_autotune" ]
+# ENTRYPOINT [ "th",  "neural_style.lua" ]
+
+# docker build -t ahbrosha/fast-neural-style-nvidia . && paplay /usr/share/sounds/gnome/default/alerts/sonar.ogg && notify-send -u urgent "Neural-Style"
+# docker run --runtime=nvidia --rm -v $(pwd):/images ahbrosha/fast-neural-style-nvidia th neural_style.lua -gpu 0 -backend cudnn -cudnn_autotune -style_image examples/inputs/picasso_selfport1907.jpg -content_image examples/inputs/brad_pitt.jpg -output_image /images/profile.png -model_file models/nin_imagenet_conv.caffemodel -proto_file models/train_val.prototxt -num_iterations 1000 -seed 123 -content_layers relu0,relu3,relu7,relu12 -style_layers relu0,relu3,relu7,relu12 -content_weight 10 -style_weight 1000 -image_size 512 -optimizer adam