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| author | Julian Taylor <jtaylor.debian@googlemail.com> | 2014-09-24 23:30:42 +0200 |
|---|---|---|
| committer | Julian Taylor <jtaylor.debian@googlemail.com> | 2014-09-26 01:03:46 +0200 |
| commit | c7fae327a79b95671833e641612ca87e1d6a6b48 (patch) | |
| tree | 4b9c13e5255eea1c19e7e0211f983ef1610f9445 /numpy/add_newdocs.py | |
| parent | caeb88871516933b671e547bcaabde173a220664 (diff) | |
| download | numpy-c7fae327a79b95671833e641612ca87e1d6a6b48.tar.gz | |
ENH: add small kernel correlate function
For cases like convolve/correlate with small kernel calling out to BLAS
dot is very slow as it goes through many wrappers and BLAS is typically
optimized for very large data.
So add a template utility file and add a special function for small dot
products.
2-4 times faster than openblas dot for kernel sizes < 11.
Diffstat (limited to 'numpy/add_newdocs.py')
0 files changed, 0 insertions, 0 deletions