drife [EMAIL PROTECTED] writes:
Hello,
I need to calculate the eigenvectors and eigenvalues for a 3600 X 3600
covariance matrix.
The LinearAlgebra package in Python is incredibly slow to perform the
above calculations (about 1.5 hours). This in spite of the fact that
I have installed
drife == drife [EMAIL PROTECTED] writes:
drife Hi David, I performed the above check, and sure enough,
drife Numeric is --not-- linked to the ATLAS libraries.
drife I followed each of your steps outlined above, and Numeric
drife still is not linking to the ATLAS libraries.
Hi John,
I do have more than one version of Python laying around.
To do the build and install I am typing:
/d2/python/bin/python setup.by build ! build.out
/d2/python/bin/python setup.by install ! install.out
Should I be doing something different?
Daran
--
drife [EMAIL PROTECTED] writes:
Hi David,
I performed the above check, and sure enough, Numeric
is --not-- linked to the ATLAS libraries.
I followed each of your steps outlined above, and Numeric
still is not linking to the ATLAS libraries.
My setup.py file is attached below.
# delete
Hi David,
Yes, when Numeric compiles it does look like the linking is being
done properly. I captured the build to a file and see a few lines
similar to:
gcc -pthread -shared build/temp.linux-i686-2.4/Src/lapack_litemodule.o
-L/d2/lib/atlas -llapack -lptcblas -lptf77blas -latlas -lg2c -o
David,
One more thing. I checked to see if the SciPy libraries had
dependencies on ATLAS. They do not, however, the eigenvector
calculation is still much faster than Numeric?
This is very strange.
Daran
--
http://mail.python.org/mailman/listinfo/python-list
David,
I noticed that the libraries that ATLAS builds are not shared
objects (e.g., liblapack.a). Should these be shared objects?
I see nothing in the ATLAS documentation about building
things as shared objects.
Wondering if this is why the Numeric install is failing.
Daran
--
drife wrote:
David,
I noticed that the libraries that ATLAS builds are not shared
objects (e.g., liblapack.a). Should these be shared objects?
I see nothing in the ATLAS documentation about building
things as shared objects.
Wondering if this is why the Numeric install is failing.
No, they should
Hello,
I need to calculate the eigenvectors and eigenvalues for a 3600 X 3600
covariance matrix.
The LinearAlgebra package in Python is incredibly slow to perform the
above calculations (about 1.5 hours). This in spite of the fact that
I have installed Numeric with the full ATLAS and LAPACK
