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use BLAS in brute force (via NumPy) #5
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use BLAS in brute force (via NumPy)
piskvorky 6af3c21
add euclidean distance to BruteForce
piskvorky db1c2a2
use partial sort to speed up BruteForce
piskvorky cf2b2d9
simplify & improve BruteForce docs
piskvorky b72f452
switch BruteForce to single precision math
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Original file line number | Diff line number | Diff line change |
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@@ -1,6 +1,6 @@ | ||
sudo apt-get install -y python-numpy python-scipy | ||
cd install | ||
for fn in annoy.sh panns.sh nearpy.sh sklearn.sh flann.sh kgraph.sh glove.sh sift.sh | ||
for fn in bruteforce.sh annoy.sh panns.sh nearpy.sh sklearn.sh flann.sh kgraph.sh glove.sh sift.sh | ||
do | ||
source $fn | ||
done |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,3 @@ | ||
sudo apt-get install -y python-pip python-dev | ||
sudo apt-get install -y libatlas-dev libatlas3gf-base | ||
sudo apt-get install -y python-numpy | ||
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@erikbern I'm not terribly sure how the debian-packaged NumPy plays with BLAS... can you check that ATLAS is being picked up by NumPy (=dot calls are fast)?
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it seems like the pypi version of numpy gets pulled in from some other package so it might not be needed anyway
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Alright... can you check the timings for
np.dot
anyway, just to be sure? What version of numpy is that?