building cuda-gdb from sources

For some reason cuda-gdb from cuda sdk gives on my machine list of errors like

Traceback (most recent call last):
  File "/usr/share/gdb/python/gdb/__init__.py", line 169, in _auto_load_packages
    __import__(modname)
  File "/usr/share/gdb/python/gdb/command/explore.py", line 746, in <module>
    Explorer.init_env()
  File "/usr/share/gdb/python/gdb/command/explore.py", line 135, in init_env
    gdb.TYPE_CODE_RVALUE_REF : ReferenceExplorer,
AttributeError: 'module' object has no attribute 'TYPE_CODE_RVALUE_REF'

so I decided rebuild it with python version installed in system - and this turned out to be a difficult task

The first question is where the source code? Seems that official repository does not contain cuda specific code - so raison d'être of these repo is totally unclear. I extracted from cuda sdk .deb archive cuda-gdb-13.1.68.src.tar.gz and proceed with it

Second - process of configuring is extremely fragile - if you point single wrong option you will know about it only after 30-40 min. Also it seems that you just can't run configure in sub-dirs, bcs in that case linker will claims about tons of missed symbols. So configuration found by trial and error
configure --with-python=/usr/bin/python3 --enable-cuda

And finally we got file gdb/gdb having size 190 Mb. And after running I got stack trace beginning with
arch-utils.c:1374: internal-error: gdbarch: Attempt to register unknown architecture (2)

This all raises some questions for nvidia:

• do they testing their cuda sdk before releasing?
• do they have QA at all or like microsoft just test their ai shit directly on users?
• from which sources was built original cuda-gdb in fact? 

Well, at least having some suspicious source code we can fix this build