This repository shows you how to build and customize a Docker® container for MATLAB® and its toolboxes, using the MATLAB Package Manager (mpm).
You can use this container image as a scalable and reproducible method to deploy and test your MATLAB code.
You can also download pre-built images based on this Dockerfile from here.
- A Running Network License Manager for MATLAB
- For more information, see Using the Network License Manager
- Linux® Operating System
- Docker
- Git
# Clone this repository to your machine.
git clone https://github.com/mathworks-ref-arch/matlab-dockerfile.git
# Navigate to the downloaded folder.
cd matlab-dockerfile
# Build container with a name and tag of your choice.
docker build -t matlab:r2023a .
# Run the container. Test the container by running an example MATLAB command such as ver.
docker run --init --rm -e MLM_LICENSE_FILE=27000@MyServerName matlab:r2023a -batch ver
The Dockerfile defaults to building a container for MATLAB R2023a.
The example command ver
displays the version number of MATLAB and other installed products. For more information, see ver. For more information on running the container, see the section on Running the Container.
Note
Using the
--init
flag in thedocker run
command ensures that the container stops gracefully when adocker stop
ordocker kill
command is issued. For more information, see the following links:
By default, the Dockerfile installs MATLAB for the latest available MATLAB release without any additional toolboxes or products in the /opt/matlab/${MATLAB_RELEASE}
folder.
Use the options below to customize your build.
The Dockerfile supports the following Docker build-time variables:
Argument Name | Default value | Description |
---|---|---|
MATLAB_RELEASE | r2023a | The MATLAB release you want to install, in lower-case. For example: r2019b |
MATLAB_PRODUCT_LIST | MATLAB | Products to install as a space-separated list. For more information, see MPM.md. For example: MATLAB Simulink Deep_Learning_Toolbox Fixed-Point_Designer |
MATLAB_INSTALL_LOCATION | /opt/matlab/r2023a | The path to install MATLAB. |
LICENSE_SERVER | unset | The port and hostname of the machine that is running the Network License Manager, using the port@hostname syntax. For example: 27000@MyServerName |
Use these arguments with the the docker build
command to customize your image.
Alternatively, you can change the default values for these arguments directly in the Dockerfile.
For example, to build an image for MATLAB R2019b, use this command.
docker build --build-arg MATLAB_RELEASE=r2019b -t matlab:r2019b .
For example, to build an image with MATLAB and Simulink, use this command.
docker build --build-arg MATLAB_PRODUCT_LIST='MATLAB Simulink' -t matlab:r2023a .
For example, to build an image with MATLAB installed at /opt/matlab, use this command.
docker build --build-arg MATLAB_INSTALL_LOCATION='/opt/matlab' -t matlab:r2023a .
Including the license server information with the docker build
command means you do not have to pass it when running the container.
# Build container with the License Server.
docker build --build-arg LICENSE_SERVER=27000@MyServerName -t matlab:r2023a .
# Run the container, without needing to pass license information.
docker run --init --rm matlab:r2023a -batch ver
This container requires a Network License Manager to license and run MATLAB. You will need either the port and hostname of the Network License Manager, or a network.lic
file.
Step 1: Contact your system administrator, who can provide one of the following:
-
The address to your server, and the port it is running on. For example:
27000@MyServerName.example.com
-
A
network.lic
file which contains the following lines:# Sample network.lic SERVER MyServerName.example.com <optional-mac-address> 27000 USE_SERVER
-
A
license.dat
file. Open thelicense.dat
file, find theSERVER
line, and either extract theport@hostname
, or create anetwork.lic
file by copying theSERVER
line and adding aUSE_SERVER
line below it.# snippet from sample license.dat SERVER MyServerName.example.com <mac-address> 27000
Step 2: Use port@hostname
or the network.lic
file with either the docker build
or the docker run
command.
With the docker build
command, either:
-
Specify the
LICENSE_SERVER
build-arg.# Example docker build -t matlab:r2023a --build-arg LICENSE_SERVER=27000@MyServerName .
-
Use the
network.lic
file:- Place the
network.lic
file in the same folder as the Dockerfile. - Uncomment the line
COPY network.lic /opt/matlab/licenses/
in the Dockerfile. - Run the docker build command without the
LICENSE_SERVER
build-arg:
# Example docker build -t matlab:r2023a .
- Place the
With the docker run
command, use the MLM_LICENSE_FILE
environment variable. For example:
docker run --init --rm -e MLM_LICENSE_FILE=27000@MyServerName matlab:r2023a -batch ver
If you did not provide the license server information when building the image, then provide it when running the container. Set the environment variable MLM_LICENSE_FILE
using the -e
flag, with the network license manager's location in the format port@hostname
.
# Start MATLAB, print version information, and exit:
docker run --init --rm -e MLM_LICENSE_FILE=27000@MyServerName matlab:r2023a -batch ver
You can run the container without specifying MLM_LICENSE_FILE
if you provided the license server information when building the image, as shown in the examples below.
To start the container and run MATLAB in an interactive command prompt, execute:
docker run --init -it --rm matlab:r2023a
To start the container, run a MATLAB command, and then exit, execute:
# Container runs the command RAND in MATLAB and exits.
docker run --init --rm matlab:r2023a -batch rand
To override the default behavior of the container and run MATLAB with any set of arguments, such as -logfile
, execute:
docker run --init -it --rm matlab:r2023a -logfile "logfilename.log"
To learn more, see the documentation: Commonly Used Startup Options.
-
Explore pre-built MATLAB Docker Containers on Docker Hub: https://hub.docker.com/r/mathworks
- MATLAB Containers on Docker Hub hosts container images for multiple releases of MATLAB.
- MATLAB Deep Learning Containers on Docker Hub hosts container images with toolboxes suitable for Deep Learning.
-
This Dockerfile builds on the matlab-deps container image and installs MATLAB. For other possibilities, see the examples in the alternates folder of this repository:
- matlab-installer is an example of a Dockerfile that uses the matlab installer rather than mpm to install MATLAB in the container, allowing the installation of some toolboxes that are not currently supported by mpm.
-
Enable additional capabilities using the MATLAB Dependencies repository. For some workflows and toolboxes, you must specify dependencies. You must do this if you want to do any of the following tasks:
- Install extended localization support for MATLAB.
- Play media files from MATLAB.
- Generate code from Simulink.
- Use mex functions with gcc, g++, or gfortran.
- Use the MATLAB Engine API for C and Fortran.
- Use the Polyspace 32-bit tcc compiler.
The matlab-deps repository repository lists Dockerfiles for various releases and platforms. Click here to view the Dockerfile for R2023a.
These Dockerfiles contain commented lines with the libraries that support these additional capabilities. Copy and uncomment these lines into your Dockerfile.
You can help improve MATLAB by providing user experience information on how you use MathWorks products. Your participation ensures that you are represented and helps us design better products. To opt out of this service, delete the following line in the Dockerfile:
ENV MW_DDUX_FORCE_ENABLE=true MW_CONTEXT_TAGS=MATLAB:DOCKERFILE:V1
To learn more, see the documentation: Help Make MATLAB Even Better - Frequently Asked Questions.
We encourage you to try this repository with your environment and provide feedback. If you encounter a technical issue or have an enhancement request, create an issue here.
Copyright (c) 2021-2023 The MathWorks, Inc. All rights reserved.