add travis configuration

use a docker image for CI

.travis.yml

+dist: xenial
+
+services:
+  - docker
+
+matrix:
+  include:
+    - name: CUDA 8
+      script:
+        - docker build --tag stitchem-cuda8:latest --file docker/ci.dockerfile --build-arg version=8 .
+    - name: CUDA 9
+      script:
+        - docker build --tag stitchem-cuda9:latest --file docker/ci.dockerfile --build-arg version=9 .
+    - name: CUDA 10
+      script:
+        - docker build --tag stitchem-cuda10:latest --file docker/ci.dockerfile --build-arg version=10 .

doc/BUILD.md

@@ -29,15 +29,33 @@ cmake -DCREATE_BOX_PACKAGE=OFF \
 
 ```
 # Installing the dependencies on Ubuntu:
-sudo apt install bison clang-tools cmake doxygen flex \
-                 libceres-dev libeigen3-dev libglm-dev \
-                 libfaac-dev libfaad-dev \
-                 libglew-dev libglfw3-dev \
-                 libmp3lame-dev libopencv-dev libopenexr-dev \
-                 libportaudio-ocaml-dev librtmp-dev libturbojpeg0-dev \
-                 libx264-dev ninja-build portaudio19-dev \
-                 qt5-default qtmultimedia5-dev qttools5-dev libpng-dev \
-                 libmp3lame-dev libx264-dev libportaudio-ocaml-dev libfaad-dev swig
+sudo apt install
+  bison \
+  clang-tools \
+  cmake \
+  doxygen \
+  flex \
+  libceres-dev \
+  libeigen3-dev \
+  libfaac-dev \
+  libfaad-dev \
+  libglew-dev \
+  libglfw3-dev \
+  libglm-dev \
+  libmp3lame-dev \
+  libopencv-dev \
+  libopenexr-dev \
+  libpng-dev \
+  libportaudio-ocaml-dev \
+  librtmp-dev \
+  libturbojpeg0-dev \
+  libx264-dev \
+  ninja-build \
+  portaudio19-dev \
+  qt5-default \
+  qtmultimedia5-dev \
+  qttools5-dev \
+  swig
 
 # Set up gcc-6 and g++-6 as your compiler
 sudo apt-get install gcc-6 g++-6

docker/README.md

+# How does it work?
+
+To avoid rebuilding an entire docker container at each build, we use base images for each cuda version (currently 8.0, 9.2 and 10.1). Those images are built locally and pushed to [dockerhub](https://hub.docker.com/u/stitchem). Then, the travis CI builds the ci image (that depends on the base images), adds the stitchEm sources and builds the applications.
+
+# Modifying the images
+
+## Modifying base image (base.dockerfile)
+
+* Push your changes, create PR and merge it in master
+* Ask for the rights to https://hub.docker.com/r/stitchem/stitchem-base
+* Build the image locally: `docker build --tag stitchem/stitchem-base:latest --file docker/base.dockerfile .`
+* Push the image: `docker push stitchem/stitchem-base:latest`
+* Do the next section for x in 8, 9, 10
+
+## Modifying base_cuda_x (base_cuda_x.dockerfile)
+
+* Push your changes, create PR and merge it in master
+* Ask for the rights to https://hub.docker.com/r/stitchem/stitchem-base-cudax
+* Build the image locally: `docker build --tag stitchem/stitchem-base-cudax:latest --file docker/base.dockerfile .`
+* Push the image: `docker push stitchem/stitchem-base-cudax:latest`
+
+## Modifying CI image (ci.dockerfile)
+
+* Push your changes, create PR and merge it in master
+* You're all set

docker/base.dockerfile

+FROM ubuntu:bionic
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt update && apt install -y \
+  bison \
+  doxygen \
+  flex \
+  git \
+  libceres-dev \
+  libeigen3-dev \
+  libglm-dev \
+  libfaac-dev \
+  libfaad-dev \
+  libglew-dev \
+  libglfw3-dev \
+  libmp3lame-dev \
+  libopencv-dev \
+  libopenexr-dev \
+  libportaudio-ocaml-dev \
+  librtmp-dev \
+  libx264-dev \
+  ninja-build \
+  portaudio19-dev \
+  python-pip \
+  qt5-default \
+  qtmultimedia5-dev \
+  qttools5-dev \
+  swig \
+  wget
+RUN pip install cmake
+RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
+RUN apt-key add 7fa2af80.pub
+RUN apt clean

docker/base_cuda_10.dockerfile

+FROM stitchem/stitchem-base:latest
+
+ENV CUDA=10.1.105-1
+ENV CUDA_APT=10-1
+ENV CUDA_SHORT=10.1
+ENV CUDA_INSTALLER=cuda-repo-ubuntu1804_${CUDA}_amd64.deb
+
+RUN wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/${CUDA_INSTALLER}
+RUN dpkg -i ${CUDA_INSTALLER}
+RUN apt update -qq && apt install -y \
+  cuda-core-${CUDA_APT} \
+  cuda-cudart-dev-${CUDA_APT} \
+  cuda-cufft-dev-${CUDA_APT} \
+  cuda-nvml-dev-${CUDA_APT}
+
+ENV CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
+ENV PATH=${PATH}:${CUDA_HOME}/bin
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CUDA_HOME}/lib64

docker/base_cuda_8.dockerfile

+FROM stitchem/stitchem-base:latest
+
+ENV CUDA=8.0.61-1
+ENV CUDA_APT=8-0
+ENV CUDA_SHORT=8.0
+ENV CUDA_INSTALLER=cuda-repo-ubuntu1604_${CUDA}_amd64.deb
+
+RUN apt update && apt install -y gcc-5 g++-5
+ENV CC=gcc-5
+ENV CXX=g++-5
+
+RUN wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_INSTALLER}
+RUN dpkg -i ${CUDA_INSTALLER}
+RUN apt update -qq && apt install -y \
+  cuda-core-${CUDA_APT} \
+  cuda-cudart-dev-${CUDA_APT} \
+  cuda-cufft-dev-${CUDA_APT} \
+  cuda-nvml-dev-${CUDA_APT}
+
+ENV CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
+ENV PATH=${PATH}:${CUDA_HOME}/bin
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CUDA_HOME}/lib64

docker/base_cuda_9.dockerfile

+FROM stitchem/stitchem-base:latest
+
+ENV CUDA=9.2.148-1
+ENV CUDA_APT=9-2
+ENV CUDA_SHORT=9.2
+ENV CUDA_INSTALLER=cuda-repo-ubuntu1604_${CUDA}_amd64.deb
+
+RUN wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_INSTALLER}
+RUN dpkg -i ${CUDA_INSTALLER}
+RUN apt update -qq && apt install -y \
+  cuda-core-${CUDA_APT} \
+  cuda-cudart-dev-${CUDA_APT} \
+  cuda-cufft-dev-${CUDA_APT} \
+  cuda-nvml-dev-${CUDA_APT}
+
+ENV CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
+ENV PATH=${PATH}:${CUDA_HOME}/bin
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CUDA_HOME}/lib64

docker/ci.dockerfile

+ARG version
+FROM stitchem/stitchem-base-cuda${version}:latest
+
+ADD . stitchEm
+WORKDIR stitchEm
+RUN echo ${CUDA_SHORT} > cuda.version
+WORKDIR build
+RUN cmake -DCMAKE_BUILD_TYPE=Release -DLINUX_PKG=ON -DRTMP_NVENC=OFF -DCUDA_TARGET_ARCH="50" -G Ninja ..
+RUN ninja