
Hi, It's to be expected. You are overwritten one of your input vector while it is still being used. So not a numpy bug ;) Matthieu 2013/5/23 Pierre Haessig <pierre.haessig@crans.org>
Hi Nicolas,
Le 23/05/2013 15:45, Nicolas Rougier a écrit :
if I use either a or b as output, results are wrong (and nothing in the dot documentation prevents me from doing this):
a = np.array([[1, 2], [3, 4]]) b = np.array([[1, 2], [3, 4]]) np.dot(a,b,out=a)
-> array([[ 6, 20], [15, 46]])
Can anyone confirm this behavior ? (tested using numpy 1.7.1) I just reproduced the same weird results with numpy 1.6.2
best, Pierre
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