Structuring Docker for building a monolithic app
We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.
My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT
and suitable --mount
commands to do our final cmake
and build the local source into a container.
However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM
command doesn't seem to suffice. For instance, OpenCV has been installed with make install
, and CUDA has been through whatever apt-get
processing is necessary, so I cannot just COPY
over the files --from
one after switching to the second. Practically, when I currently try to build cmake
complains about CUDA_TOOLKIT_ROOT_DIR
being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile
.
How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8
in my final Dockerfile
instead of relying on FROM docker-opencv-cuda
to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.
docker dockerfile
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We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.
My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT
and suitable --mount
commands to do our final cmake
and build the local source into a container.
However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM
command doesn't seem to suffice. For instance, OpenCV has been installed with make install
, and CUDA has been through whatever apt-get
processing is necessary, so I cannot just COPY
over the files --from
one after switching to the second. Practically, when I currently try to build cmake
complains about CUDA_TOOLKIT_ROOT_DIR
being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile
.
How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8
in my final Dockerfile
instead of relying on FROM docker-opencv-cuda
to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.
docker dockerfile
add a comment |
We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.
My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT
and suitable --mount
commands to do our final cmake
and build the local source into a container.
However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM
command doesn't seem to suffice. For instance, OpenCV has been installed with make install
, and CUDA has been through whatever apt-get
processing is necessary, so I cannot just COPY
over the files --from
one after switching to the second. Practically, when I currently try to build cmake
complains about CUDA_TOOLKIT_ROOT_DIR
being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile
.
How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8
in my final Dockerfile
instead of relying on FROM docker-opencv-cuda
to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.
docker dockerfile
We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.
My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT
and suitable --mount
commands to do our final cmake
and build the local source into a container.
However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM
command doesn't seem to suffice. For instance, OpenCV has been installed with make install
, and CUDA has been through whatever apt-get
processing is necessary, so I cannot just COPY
over the files --from
one after switching to the second. Practically, when I currently try to build cmake
complains about CUDA_TOOLKIT_ROOT_DIR
being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile
.
How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8
in my final Dockerfile
instead of relying on FROM docker-opencv-cuda
to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.
docker dockerfile
docker dockerfile
asked Nov 16 '18 at 6:04
Ken Y-NKen Y-N
7,836134773
7,836134773
add a comment |
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