Testing Failures
After you have successfully compiled your application, the next
step is to test it on a development machine and deploy it on a target
machine. Typically the target machine does not have a MATLAB® installation
and requires that the MATLAB Runtime be installed. A distribution
includes all of the files that are required by your application to
run, which include the executable, deployable archive and the MATLAB Runtime.
Test the application on the development machine by running the
application against the MATLAB Runtime shipped with MATLAB
Compiler™.
This will verify that library dependencies are correct, that the deployable
archive can be extracted and that all MATLAB code, MEX—files
and support files required by the application have been included in
the archive. If you encounter errors testing your application, the
questions in the column to the right may help you isolate the problem.
Are you able to execute the application from MATLAB?
On the development machine, you can test your application's
execution by issuing !
application-name
at
the MATLAB prompt. If your application executes within MATLAB but
not from outside, this can indicate an issue with the system PATH
variable.
Does the application begin execution and result in MATLAB or other errors?
Ensure that you included all necessary files when compiling
your application (see the readme.txt
file generated
with your compilation for more details).
Functions that are called from your main MATLAB file are
automatically included by MATLAB
Compiler; however, functions
that are not explicitly called, for example through EVAL, need to
be included at compilation using the -a
switch
of the mcc
command. Also, any support files like .mat
, .txt
,
or .html
files need to be added to the archive
with the -a
switch. There is a limitation on the
functionality of MATLAB and associated toolboxes that can be
compiled. Check the documentation to see that the functions used in
your application's MATLAB files are valid. Check the file mccExcludedFiles.log
on
the development machine. This file lists all functions called from
your application that cannot be compiled.
Do you have multiple MATLAB versions installed?
Executables generated by MATLAB
Compiler are designed to
run in an environment where multiple versions of MATLAB are installed.
Some older versions of MATLAB may not be fully compatible with
this architecture.
On Windows®, ensure that the
matlabroot
\runtime\win64
of the version of
MATLAB in which you are compiling appears ahead of
matlabroot
\runtime\win64
of other versions of
MATLAB installed on the PATH
environment variable on your machine.
Similarly, on UNIX, ensure that the dynamic library paths (LD_LIBRARY_PATH
on Linux®)
match. Do this by comparing the outputs of !printenv
at
the MATLAB prompt and printenv
at the shell
prompt. Using this path allows you to use mcc
from
the operating system command line.
If you are testing a standalone executable or shared library and driver application, did you
install the MATLAB Runtime?
All shared libraries required for your standalone executable
or shared library are contained in the MATLAB Runtime. Installing
the MATLAB Runtime is required for any of the deployment targets.
Do you receive an error message about a missing DLL?
Error messages indicating missing DLLs such as mclmcrrt7x.dll
or
mclmcrrt7x.so
are generally caused by incorrect installation
of the MATLAB Runtime. It is also possible that the MATLAB Runtime is installed correctly, but that the PATH
,
LD_LIBRARY_PATH
, or DYLD_LIBRARY_PATH
variables is set incorrectly. For information on installing the MATLAB Runtime on a deployment machine, see Install and Configure the MATLAB Runtime.
Caution
Do not solve these problems by moving libraries or other files within the
MATLAB Runtime folder structure. The system is designed to accommodate
different MATLAB Runtime versions operating on the same machine. The folder structure
is an important part of this feature.
Does your system’s graphics card support the graphics
application?
In situations where the existing hardware graphics card does
not support the graphics application, you should use software OpenGL.
OpenGL libraries are visible for an application by appending matlab/sys/opengl/lib/arch
to
the LD_LIBRARY_PATH
. For example:
setenv LD_LIBRARY_PATH $LD_LIBRARY_PATH:matlab/sys/opengl/lib/arch
For issues with MATLAB graphics in Linux, set the
environment variable LD_LIBRARY_PATH
to:
setenv LD_LIBRARY_PATH $MATLAB/sys/opengl/lib/glnxa64:$LD_LIBRARY_PATH
Is OpenGL properly installed on your system?
When searching for OpenGL libraries, the MATLAB Runtime first
looks on the system library path. If OpenGL is not found there, it
will use the LD_LIBRARY_PATH
environment variable to
locate the libraries. If you are getting failures due to the OpenGL
libraries not being found, you can append the location of the OpenGL
libraries to the LD_LIBRARY_PATH
environment variable.
For example:
setenv LD_LIBRARY_PATH $LD_LIBRARY_PATH:matlab/sys/opengl/lib/arch