[Numpy-discussion] Default builds of OpenBLAS development branch are now fork safe
Matthew Brett
matthew.brett at gmail.com
Mon Mar 31 20:59:52 EDT 2014
Hi,
On Wed, Mar 26, 2014 at 11:34 AM, Julian Taylor
<jtaylor.debian at 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
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