[Bug 1139834] Re: Please backport nvidia-cuda-toolkit 5.0.35-4 (multiverse) from raring

Graham Inggs graham at nerve.org.za
Mon May 6 10:14:53 UTC 2013


I was able to run example/hello_gpu.py on quantal with python-pycuda
2012.1-1ubuntu2 from the archives and nvidia-cuda-toolkit
5.0.35-4~quantal1~ppa1 from my PPA.

** Description changed:

  Please backport nvidia-cuda-toolkit 5.0.35-4 (multiverse) from raring to
  precise, quantal.
  
  Reason for the backport:
  ========================
  CUDA 5 is the latest release and introduces many new features.
  
  Testing:
  ========
  Mark off items in the checklist [X] as you test them, but please leave the checklist so that backporters can quickly evaluate the state of testing.
  
  You can test-build the backport in your PPA with backportpackage:
  $ backportpackage -u ppa:<lp username>/<ppa name> -s raring -d precise nvidia-cuda-toolkit
  $ backportpackage -u ppa:<lp username>/<ppa name> -s raring -d quantal nvidia-cuda-toolkit
  
  Backported packages available here:
  https://launchpad.net/~ginggs/+archive/backports
  
  * precise:
  [X] Package builds without modification
      (requires nvidia-current 295.40ubuntu1.3, see  LP: #950963)
  [X] nvidia-profiler installs cleanly and runs (nvprof)
  [X] libnvtoolsext5.0 installs cleanly
  [X] libcupti-doc installs cleanly
  [X] libcudart5.0 installs cleanly
  [X] nvidia-cuda-dev installs cleanly
  [X] libcupti-dev installs cleanly
  [X] libcuinj32-5.0 installs cleanly
  [X] libcupti5.0 installs cleanly
  [X] libcusparse5.0 installs cleanly
  [X] nvidia-cuda-doc installs cleanly
  [X] libcuinj64-5.0 installs cleanly
  [X] libnpp5.0 installs cleanly
  [X] libcublas5.0 installs cleanly
  [X] nvidia-visual-profiler installs cleanly and runs (nvvp)
  [X] libcufft5.0 installs cleanly
  [X] nvidia-cuda-gdb installs cleanly and runs (cuda-gdb)
  [X] libcurand5.0 installs cleanly
  [X] nvidia-opencl-dev installs cleanly
  [X] nvidia-nsight installs cleanly and runs (nsight)
  [X] nvidia-cuda-toolkit installs cleanly
  * quantal:
  [X] Package builds without modification
  [X] nvidia-profiler installs cleanly and runs (nvprof)
  [X] libnvtoolsext5.0 installs cleanly
  [X] libcupti-doc installs cleanly
  [X] libcudart5.0 installs cleanly
  [X] nvidia-cuda-dev installs cleanly
  [X] libcupti-dev installs cleanly
  [X] libcuinj32-5.0 installs cleanly
  [X] libcupti5.0 installs cleanly
  [X] libcusparse5.0 installs cleanly
  [X] nvidia-cuda-doc installs cleanly
  [X] libcuinj64-5.0 installs cleanly
  [X] libnpp5.0 installs cleanly
  [X] libcublas5.0 installs cleanly
  [X] nvidia-visual-profiler installs cleanly and runs (nvvp)
  [X] libcufft5.0 installs cleanly
  [X] nvidia-cuda-gdb installs cleanly and runs (cuda-gdb)
  [X] libcurand5.0 installs cleanly
  [X] nvidia-opencl-dev installs cleanly
  [X] nvidia-nsight installs cleanly and runs (nsight)
  [X] nvidia-cuda-toolkit installs cleanly
  
  Reverse dependencies:
  =====================
  The following reverse-dependencies need to be tested against the new version of nvidia-cuda-toolkit. For reverse-build-dependencies (-Indep), please test that the package still builds against the new nvidia-cuda-toolkit. For reverse-dependencies, please test that the version of the package currently in the release still works with the new nvidia-cuda-toolkit installed. Reverse- Recommends, Suggests, and Enhances don't need to be tested, and are listed for completeness-sake.
  
  libnvtoolsext5.0
  ----------------
  
  libcuinj32-5.0
  --------------
  
  libcudart5.0
  ------------
  
  nvidia-cuda-dev
  ---------------
  * opencl-headers
    [ ] quantal (Reverse-Breaks)
    [ ] quantal (Reverse-Replaces)
  * libcuinj4
    [ ] quantal (Reverse-Breaks)
    [ ] quantal (Reverse-Replaces)
  
  libcupti-dev
  ------------
  
  libcupti-doc
  ------------
  
  libcuinj64-5.0
  --------------
  
  libcusparse5.0
  --------------
  
  nvidia-nsight
  -------------
  
  nvidia-cuda-doc
  ---------------
  * python-pycuda-doc
    [ ] quantal (Reverse-Recommends)
  
  libcupti5.0
  -----------
  
  libnpp5.0
  ---------
  
  libcublas5.0
  ------------
  
  nvidia-visual-profiler
  ----------------------
  
  libcufft5.0
  -----------
  
  nvidia-profiler
  ---------------
  
  libcurand5.0
  ------------
  
  nvidia-opencl-dev
  -----------------
  
  nvidia-cuda-gdb
  ---------------
  
  nvidia-cuda-toolkit
  -------------------
  * libthrust-dev
    [ ] quantal (Reverse-Suggests)
  * pycuda
    [*] quantal (Reverse-Build-Depends)
    [*] quantal (Reverse-Build-Depends)
  * python-pycuda
-   [ ] quantal (Reverse-Depends)
+   [X] quantal (Reverse-Depends)
  * starpu-contrib
    [*] quantal (Reverse-Build-Depends)
    [*] quantal (Reverse-Build-Depends)
  
  * These packages build locally with nvidia-experimental-310 installed,
  but currently not on the PPA builder.

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https://bugs.launchpad.net/bugs/1139834

Title:
  Please backport nvidia-cuda-toolkit 5.0.35-4 (multiverse) from raring

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