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 >> > >> >
