Hi, On Wed, Mar 26, 2014 at 11:34 AM, Julian Taylor <jtaylor.deb...@googlemail.com> wrote: > On 26.03.2014 16:27, Olivier Grisel wrote: >> Hi 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 > Openblas 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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion