How to fast compile GPU coder application after making a minor change in main.cu?
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Liwei on 21 Dec 2022
Commented: Liwei on 17 Jan 2023
I use GPU coder to compile Deep Learning based application. But, I made a slight change in main.cu (mainly in the file management and reading part). I then want to recompile the GPU coder application. but it takes so long to repeat converting deep learning models to cuda codes. Is there an easy way to recompile the GPU coder application faster?
Hariprasad Ravishankar on 21 Dec 2022
If you generated an EXE by specifying main.cu as CustomSource similar to the example here, then you can can rebuild the executable by running make on the generated <entrypoint_function>_rtw.mk.
For example, if your entry point function is foo.m, you should see a file named foo_rtw.mk in the codegen folder on Linux devices.
You can then execute
make -f foo_rtw.mk
from the linux terminal by 'cd'ing to the codegen folder or from within MATLAB as follows:
!make -f foo_rtw.mk
On Windows, there is an equivalent "batch" file with the '.bat' extension that you can run to rebuild the files.
If you generated a DLL or LIB using the coder.gpuConfig, then you likely have a custom makefile to link to the library generated by coder. In that case you will need to remake your custom makefile.
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