I need to call `cpuinfo_processors_count`. The 8 files needed are below: https://github.com/pytorch/cpuinfo/blob/master/src/api.c#L16 https://github.com/pytorch/cpuinfo/blob/master/src/api.h
https://github.com/pytorch/cpuinfo/blob/master/src/x86/windows/init.c#L569 https://github.com/pytorch/cpuinfo/blob/master/src/x86/linux/init.c#L570 https://github.com/pytorch/cpuinfo/blob/master/src/x86/mach/init.c#L325 https://github.com/pytorch/cpuinfo/blob/master/src/arm/mach/init.c#L480 https://github.com/pytorch/cpuinfo/blob/master/src/arm/linux/init.c#L654 Best, Alex On 5/19/18, 9:51 AM, "Hen" <[email protected]> wrote: It's 2-clause BSD: https://github.com/pytorch/cpuinfo/blob/master/LICENSE Which files are you looking to incorporate? I want to see what the source headers look like. Hen On Fri, May 18, 2018 at 5:47 PM, Marco de Abreu < [email protected]> wrote: > By the way. In general, I'd prefer to have a solution in C++ as part of our > Backend, as this would allow us to share this information with all frontend > APIs. Tobias is currently working on a PR which does exactly the same, but > for GPUs. > > Marco de Abreu <[email protected]> schrieb am Sa., 19. Mai > 2018, > 02:45: > > > I would have to check the license, but I assume it's under Apache. In > that > > case, it should be enough to copy the file and keep the original license > > header. Additionally, you have to document any changes you made and where > > you got it from. You can do this in the header, below the license. > > > > In any case, check the NOTICE of the project and see if they contain any > > special instructions. > > > > -Marco > > > > Anirudh <[email protected]> schrieb am Sa., 19. Mai 2018, 00:27: > > > >> Hi Alex, > >> > >> I am no expert but adding the license and the copyright to the header of > >> the file should be enough. > >> Can someone who has experience with this confirm ? > >> > >> Anirudh > >> > >> On Fri, May 18, 2018 at 10:55 AM, Alex Zai <[email protected]> wrote: > >> > >> > For this issue (https://github.com/apache/ > incubator-mxnet/issues/10836 > >> ), > >> > we > >> > need to determine the number of physical cores for each platform. > >> Currently > >> > we assume each platform supports HyperThreading and just fetch the > >> number > >> > of logical cores and divide by 2. However, in cases where the machine > >> does > >> > not support HTT, we underutilize the CPUs. Per the issue’s thread, the > >> > PyTorch organization has a library that does just this ( > >> > https://github.com/pytorch/cpuinfo). The library is a bit heavy and > we > >> > only > >> > need a small portion of the code. Does anyone know if there is an > issue > >> > with just using a subset of the code? > >> > > >> > > >> > > >> > Alex > >> > > >> > > >
