On Wed, Aug 16, 2017 at 2:39 AM, Paul Springer <pav...@gmx.de> wrote:
> > What version of Numpy are you comparing to? Note that in 1.13 you can > enable some optimization in einsum, and the coming 1.14 makes that the > default and uses CBLAS when possible. > > I was using 1.10.4; however, I am currently running the benchmark with > 1.13.1 and 'optimize=True'; this, however, seems to yield even worse > performance (see attached). > If you are interested, you can check the performance difference yourself > via: ./benchmark/python/bechmark.sh > This sounds like you may be using relatively small matrices, where the overhead of calculating the optimal strategy dominates. Can you try with a few bigger test cases?
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
