Source: pycuda Version: 2016.1.2+git20160809-1 Tags: patch Hi Tomasz
Pycuda FTBFS with nvidia-cuda-toolkit 8.0 in experimental. This has already been fixed upstream [1], and I applied the attached patch in Ubuntu. Regards Graham [1] https://git.tiker.net/pycuda.git/commit/255644ad802a20191e31bc15f4fd46e6c9d6e38a
Description: Fix build with CUDA 8 Fix test suite to account for unavailability of EXCLUSIVE compute mode in CUDA 8 Origin: upstream, https://git.tiker.net/pycuda.git/commit/255644ad802a20191e31bc15f4fd46e6c9d6e38a Author: Andreas Kloeckner <[email protected]> Last-Update: 2016-10-10 --- a/test/test_driver.py +++ b/test/test_driver.py @@ -624,7 +624,7 @@ for e in range(e0-6, e0-4): for i in range(100): - queue.append(pool.allocate(1<<e)) + queue.append(pool.allocate(1 << e)) if len(queue) > 10: queue.pop(0) del queue @@ -632,9 +632,9 @@ @mark_cuda_test def test_multi_context(self): - if drv.get_version() < (2,0,0): + if drv.get_version() < (2, 0, 0): return - if drv.get_version() >= (2,2,0): + if drv.get_version() >= (2, 2, 0) and drv.get_version() < (8,): if drv.Context.get_device().compute_mode == drv.compute_mode.EXCLUSIVE: return
