Since testresources declares `Requires-Dist: pbr (>=1.8)` and imports
`pbr.version`, any user of testresources also needs to have pbr.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Since bash-completion rules are loaded dynamically, the completion
rules for `gitk <Tab>` waere not being loaded until the user first
typed `git <Tab>`. Fix this by adding a symlink named `gitk`.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
This makes it less frustrating to add a large group of kernel options
via boot.kernelPatches.*.extraConfig.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Fixes this error:
gnuplot> plot [-5:5] sin(x)
qt.qpa.plugin: Could not find the Qt platform plugin "xcb" in ""
This application failed to start because no Qt platform plugin could
be initialized. Reinstalling the application may fix this problem.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
imagemagickBig and imagemagick7Big were marked broken in #55634 due
to #55118. #57313 fixed the bug but reverted the broken bit only on
imagemagickBig. Revert it on imagemagick7Big too.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
The wrapper is not needed because the runpath is already set correctly,
and LD_LIBRARY_PATH was breaking child processes linked against
different libc versions.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Previously, lxd would complain about apparmor_parser being missing:
lxd[1037]: lvl=warn msg="AppArmor support has been disabled because 'apparmor_parser' couldn't be found" t=2018-11-19T18:32:47-0800
We need to provide a wrapped apparmor_parser that knows where to find
<tunables/global>, which is #included by lxd’s generated profiles.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch-0.3 with optional cuda and cudnn
* pytorch tests reenabled if compiling without cuda
* pytorch: Conditionalize cudnn dependency on cudaSupport
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Compile with the same GCC version used by CUDA if cudaSupport
Fixes this error:
In file included from /nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/host_config.h:50:0,
from /nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/cuda_runtime.h:78,
from <command-line>:0:
/nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/crt/host_config.h:121:2: error: #error -- unsupported GNU version! gcc versions later than 6 are not supported!
#error -- unsupported GNU version! gcc versions later than 6 are not supported!
^~~~~
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Build with joined cudatoolkit
Similar to #30058 for TensorFlow.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: 0.3.0 -> 0.3.1
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Patch for “refcounted file mapping not supported” failure
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Skip distributed tests
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Use the stub libcuda.so from cudatoolkit for running tests
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
This hardcoded list of CFFI extension modules gets stale when PyPy adds
more, but fortunately the main translation step already builds these now
(hack_for_cffi_modules in pypy/goal/targetpypystandalone.py).
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Anders Kaseorg