Hi,
On Wed, Mar 26, 2014 at 11:34 AM, Julian Taylor
Post by Julian TaylorPost by Olivier GriselHi Carl,
I installed Python 2.7.6 64 bits on a windows server instance from
rackspace cloud and then ran get-pip.py and then could successfully
install the numpy and scipy wheel packages from your google drive
folder. I tested dot products and scipy.linalg.svd and they work as
expected.
Would it make sense to embed the blas and lapack header files as part
of this numpy wheel and make numpy.distutils.system_info return the
lib and include folder pointing to the embedded libopenblas.dll and
header files so has to make third party libraries directly buildable
against those?
as for using openblas by default in binary builds, no.
pthread openblas build is now fork safe which is great but it is still
not reliable enough for a default.
E.g. the current latest release 0.2.8 still has one crash bug on
dgemv[1], and wrong results zherk/zer2[2] and dgemv/cgemv[3].
git head has the former four fixed bug still has wrong results for cgemv.
I noticed the Carl was only getting three test failures on scipy - are
these related?
======================================================================
FAIL: test_decomp.test_eigh('general ', 6, 'F', True, False, False, (2, 4))
----------------------------------------------------------------------
Traceback (most recent call last):
File "D:\devel\py27\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)
File "D:\devel\py27\lib\site-packages\scipy\linalg\tests\test_decomp.py",
line 642, in eigenhproblem_general
assert_array_almost_equal(diag2_, ones(diag2_.shape[0]), DIGITS[dtype])
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 4 decimals
(mismatch 100.0%)
x: array([ 0., 0., 0.], dtype=float32)
y: array([ 1., 1., 1.])
======================================================================
FAIL: Tests for the minimize wrapper.
----------------------------------------------------------------------
Traceback (most recent call last):
File "D:\devel\py27\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)
File "D:\devel\py27\lib\site-packages\scipy\optimize\tests\test_optimize.py",
line 435, in test_minimize
self.test_powell(True)
File "D:\devel\py27\lib\site-packages\scipy\optimize\tests\test_optimize.py",
line 209, in test_powell
atol=1e-14, rtol=1e-7)
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
1181, in assert_allclose
verbose=verbose, header=header)
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-07, atol=1e-14
(mismatch 100.0%)
x: array([[ 0.75077639, -0.44156936, 0.47100962],
[ 0.75077639, -0.44156936, 0.48052496],
[ 1.50155279, -0.88313872, 0.95153458],...
y: array([[ 0.72949016, -0.44156936, 0.47100962],
[ 0.72949016, -0.44156936, 0.48052496],
[ 1.45898031, -0.88313872, 0.95153458],...
======================================================================
FAIL: Powell (direction set) optimization routine
----------------------------------------------------------------------
Traceback (most recent call last):
File "D:\devel\py27\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)
File "D:\devel\py27\lib\site-packages\scipy\optimize\tests\test_optimize.py",
line 209, in test_powell
atol=1e-14, rtol=1e-7)
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
1181, in assert_allclose
verbose=verbose, header=header)
File "D:\devel\py27\lib\site-packages\numpy\testing\utils.py", line
644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-07, atol=1e-14
(mismatch 100.0%)
x: array([[ 0.75077639, -0.44156936, 0.47100962],
[ 0.75077639, -0.44156936, 0.48052496],
[ 1.50155279, -0.88313872, 0.95153458],...
y: array([[ 0.72949016, -0.44156936, 0.47100962],
[ 0.72949016, -0.44156936, 0.48052496],
[ 1.45898031, -0.88313872, 0.95153458],...
----------------------------------------------------------------------
Ran 8940 tests in 143.892s
Post by Julian TaylorOpenblas is great if you do not have the patience to build ATLAS and
only use a restricted set of functionality and platforms you can easily
test.
I don't think it's possible to build ATLAS on Windows 64-bit at the
moment, and it would take a lot of work to make it build, and Clint W
has said he does not want to invest much time maintaining the Windows
build, so unless something changes, I think ATLAS is not a viable
option - for 64 bits at least.
Cheers,
Matthew