Hi Maciej, I have applied for clearance to publicly upload the code. I will upload it once I get the permission.
Regards Yash -----Original Message----- From: Maciej Fijalkowski [mailto:fij...@gmail.com] Sent: Friday, March 3, 2017 4:41 AM To: Singh, Yashwardhan <yashwardhan.si...@intel.com> Cc: pypy-dev@python.org Subject: Re: [pypy-dev] Numpy on PyPy : cpyext Hi Yash Is your software open source? I'm happy to check it out for you I think the c-level profiling for vmprof is relatively new, you would need to use pypy nightly in order to get that level of insight. Additionally, we're working on cpyext improvements *right now* stay tuned. If there is a good case for speeding up numpy, we can get it a lot faster than it is right now and seek some funding for that. Neural networks might be one of those! Best regards, Maciej Fijalkowski On Fri, Mar 3, 2017 at 2:31 AM, Singh, Yashwardhan <yashwardhan.si...@intel.com> wrote: > Hi Everyone, > > I am using numpy on pypy to train a deep neural network. For my > workload numpy on pypy is taking twice the time to train as numpy on > Cpython. I am using Numpy via cpyext. > > I read in the documentation, "Performance-wise, the speed is mostly > the same as CPython's NumPy (it is the same code); the exception is > that interactions between the Python side and NumPy objects are > mediated through the slower cpyext layer (which hurts a few benchmarks > that do a lot of element-by-element array accesses, for example)." Is > there any way in which I can profile my application to see how much > additional overhead cypext layer is adding or is it the numpy via pypy > which is slowing down the things. I have tried vmprof, but I couldn't > figure out from it how much time cpyext layer is taking. > > Any help will be highly appreciated. > > Regards > Yash > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev > _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
