On 2016-02-11 6:06 PM, Antoine Pitrou wrote:
On Thu, 11 Feb 2016 17:50:05 -0500
Yury Selivanov <yselivanov...@gmail.com>
wrote:
Right now, spectral_norm is 50% faster on python 2 (when compared to 3.5).
spectral_norm is really a horrid benchmark.
Yes, spectral_norm is micro-benchmark, but still, there is a lot of
python code out there that does some calculation in pure Python not
involving numpy or pypy.
Can you clarify "a lot"?
Any code that occasionally uses "int [op] int" code. That code becomes
faster (especially if it's small ints). In tight loops significantly
faster (that's what spectral_norm is doing).
Look at the pillow package, for instance [1] -- just one of the first
packages I thought of -- something non-scientific that happens to do
some calculations here and there.
Unless 21955 makes numpy code slower, I'm not sure why we're discussing
this.
Yury
[1] https://github.com/python-pillow/Pillow
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