I encountered the same issue when trying to use the NVIDIA Nsight Tools JupyterLab Extension.
It seems that gitlab-master.nvidia.com is an NVIDIA private Git server, so replacing it with an open alternative might be the best course of action. After some searching, I found that xf86-video-dummy-0.3.8.tar.gz is also available on GitHub:
I patched the following files in nsight-systems to build an xf86-video-dummy container image and successfully set up a livestream of nsys-ui in JupyterLab:
I am not sure why autogen.sh, which is required to generate config.h.in, was not run in the original build-internal.sh, guessing the NVIDIA’s xf86-video-dummy repository already contains a pre-generated config.h.in.
This makes me wonder if there might be some missing parts in the xf86-video-dummy container image in my patched version.
NOTE:
In build.sh, the GIT_URL and GIT_TOKEN environment variables can be used to specify the URL of a Git repository for xf86-video-dummy and the corresponding Git access credential.