"Hezy, Sharon" <sharon.h...@intel.com> writes: > Hello, > > I’m pretty familiar with CUDA (writing code since CUDA3.0), but PyCUDA is > quite new for me. > > I’ve been asked to configure our code that runs on CUDA 6.5, to run on > GeForce GTX 1080 (compute capability 6.1). > > OS is Windows 64bit, CUDA version – 6.5, GPU devices that should be > supported: GeForce GTX 980Ti (compute capability 5.2) and GeForce GTX 1080 > (comp.cap. 6.1), Python version – 2.7. > > NVidia driver was updated (much after the CUDA), to support both the new 1080 > and the old 980Ti cards. > > > > Just to answer the question before it’s asked – there are some technical > reasons that prevent us from moving now to CUDA 8.0 or 9.0 (it will be done > some time later, but the new cards have to be supported today, with the old > CUDA and all the existing code…). > > The usual C/C++ code, compiled with nvcc with sm 52 (sm 50 is ok too), with > CUDA6.5 – runs fine on both 980Ti and 1080. > > > > The same “trick” (nvcc with sm 52 or 50), and compilation to .cubin files > from python – gives the following error when trying to run: > > > > pycuda._driver.LogicError: cuModuleLoadDataEx failed: invalid source – > > > > The only guess I have is that the pycuda package (which was installed from > binary distribution) - was linked with too old version of NVIDIA binaries > (such as driver rt), and I need to recompile the pycuda sources with the > current packages installed on my system. > > > > Am I right? Or there is another explanation for this? > > I’ve been looking for an answer in many blogs, but nobody describes my > problem…
You could try using this branch, which adds support for using the NVRTC API by way of a separate JIT class, DynamicSourceModule: https://gitlab.tiker.net/inducer/pycuda/merge_requests/3 That might help you get around the compiler/driver mismatch you're seeing. Andreas _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net https://lists.tiker.net/listinfo/pycuda
