[Numpy-discussion] np.dot and array order

[josef.pktd@gmai...]

np.__version__   '1.5.1'   official win32 installer

(playing with ipython for once)

I thought np.dot is Lapack based and favors fortran order, but if the
second array is fortran ordered, then dot takes twice as long. The
order of the first array seems irrelevant
(or maybe just with my shapes, in case it matters: the first array is
float64, the second is bool, and I'm low in left over memory)

In [93]: %timeit np.dot(x.T, indi)
1 loops, best of 3: 1.33 s per loop

In [94]: %timeit np.dot(xf.T, indi)
1 loops, best of 3: 1.27 s per loop

In [95]: %timeit np.dot(xf.T, indif)
1 loops, best of 3: 3 s per loop

In [100]: %timeit np.dot(x.T, indif)
1 loops, best of 3: 3.05 s per loop


In [96]: x.flags.c_contiguous
Out[96]: True

In [97]: xf.flags.c_contiguous
Out[97]: False

In [98]: indi.flags.c_contiguous
Out[98]: True

In [99]: indif.flags.c_contiguous
Out[99]: False

In [101]: x.shape
Out[101]: (200000, 20)

In [102]: indi.shape
Out[102]: (200000, 500)


It's just the way it is, or does it depend on ....?

Josef