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    <title>topic Linux64bit  Numpy 1.6  test_nonsero_byteswap &amp; test failed in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815861#M4290</link>
    <description>&lt;P&gt;What libs did you link with? (32 bit or 64 bit)? &lt;BR /&gt;&lt;BR /&gt;--Vipin&lt;/P&gt;</description>
    <pubDate>Mon, 06 Feb 2012 04:34:23 GMT</pubDate>
    <dc:creator>VipinKumar_E_Intel</dc:creator>
    <dc:date>2012-02-06T04:34:23Z</dc:date>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonsero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815860#M4289</link>
      <description>Hi,&lt;BR /&gt;I am using MKL version 10.3 and Python 2.7.2 and compiled numpy1.6.1 using custom library method. &lt;BR /&gt;I ran numpy.test('full') and here is the output.&lt;BR /&gt;&lt;BR /&gt;compiler options used  "icc -O2 -g -fPIC -fp-model strict -openmp -xhost "&lt;BR /&gt;&lt;BR /&gt;Couple of tests failed. Has anyone noticed similar problems. Is there a fix for these. These errors don't appear when numpy is compiled with gcc.&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;test_nonzero_bytesswap&lt;BR /&gt;======================================================================&lt;BR /&gt;FAIL: test_nonzero_byteswap (test_regression.TestRegression)&lt;BR /&gt;----------------------------------------------------------------------&lt;BR /&gt;Traceback (most recent call last):&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/core/tests/test_regression.py", line 1450, in test_nonzero_byteswap&lt;BR /&gt; assert_equal(a.nonzero()[0], [1])&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/testing/utils.py", line 256, in assert_equal&lt;BR /&gt; return assert_array_equal(actual, desired, err_msg, verbose)&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/testing/utils.py", line 707, in assert_array_equal&lt;BR /&gt; verbose=verbose, header='Arrays are not equal')&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/testing/utils.py", line 600, in assert_array_compare&lt;BR /&gt; raise AssertionError(msg)&lt;BR /&gt;AssertionError:&lt;BR /&gt;Arrays are not equal&lt;BR /&gt;&lt;BR /&gt;(shapes (0,), (1,) mismatch)&lt;BR /&gt;x: array([], dtype=int64)&lt;BR /&gt;y: array([1])&lt;BR /&gt;&lt;BR /&gt;======================================================================&lt;BR /&gt;FAIL: test_kind.TestKind.test_all&lt;BR /&gt;----------------------------------------------------------------------&lt;BR /&gt;Traceback (most recent call last):&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/nose/case.py", line 197, in runTest&lt;BR /&gt; self.test(*self.arg)&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/f2py/tests/test_kind.py", line 30, in test_all&lt;BR /&gt; 'selectedrealkind(%s): expected %r but got %r' % (i, selected_real_kind(i), selectedrealkind(i)))&lt;BR /&gt; File "/home/user/python27-install/lib/python2.7/site-packages/numpy/testing/utils.py", line 34, in assert_&lt;BR /&gt; raise AssertionError(msg)&lt;BR /&gt;AssertionError: selectedrealkind(16): expected 10 but got 16&lt;BR /&gt;&lt;BR /&gt;----------------------------------------------------------------------&lt;BR /&gt;Ran 3552 tests in 52.984s&lt;BR /&gt;&lt;BR /&gt;FAILED (KNOWNFAIL=3, SKIP=1, failures=2)&lt;BR /&gt;&lt;BR /&gt;-thanks,&lt;BR /&gt;Vyas&lt;BR /&gt;</description>
      <pubDate>Sun, 05 Feb 2012 00:37:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815860#M4289</guid>
      <dc:creator>vyasd</dc:creator>
      <dc:date>2012-02-05T00:37:22Z</dc:date>
    </item>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonsero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815861#M4290</link>
      <description>&lt;P&gt;What libs did you link with? (32 bit or 64 bit)? &lt;BR /&gt;&lt;BR /&gt;--Vipin&lt;/P&gt;</description>
      <pubDate>Mon, 06 Feb 2012 04:34:23 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815861#M4290</guid>
      <dc:creator>VipinKumar_E_Intel</dc:creator>
      <dc:date>2012-02-06T04:34:23Z</dc:date>
    </item>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonzero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815862#M4291</link>
      <description>Hi,&lt;BR /&gt;&lt;BR /&gt;I linked against 64bit libs. Here is how I generated my custom libs&lt;BR /&gt;&lt;BR /&gt;In &lt;MKL_ROOT&gt;tools/builder directory&lt;BR /&gt;&lt;BR /&gt;make libintel64 name=/home/user/libmkl_blas export=blas_example_list&lt;BR /&gt;make libintel64 name=/home/user/libmkl_cbals export=cblas_example_list&lt;BR /&gt;make libintel64 name=/home/user/libmkl_lapack export=lapack_example_list&lt;BR /&gt;&lt;/MKL_ROOT&gt;</description>
      <pubDate>Mon, 06 Feb 2012 18:30:52 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815862#M4291</guid>
      <dc:creator>vyasd</dc:creator>
      <dc:date>2012-02-06T18:30:52Z</dc:date>
    </item>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonzero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815863#M4292</link>
      <description>&lt;DIV id="tiny_quote"&gt;&lt;DIV style="margin-left: 2px; margin-right: 2px;"&gt;Hi,&lt;BR /&gt;&lt;BR /&gt;I have some questions related to used MKL libraries.&lt;BR /&gt;&lt;BR /&gt;Quoting &lt;A jquery1328599032305="55" rel="/en-us/services/profile/quick_profile.php?is_paid=&amp;amp;user_id=552097" href="https://community.intel.com/en-us/profile/552097/" class="basic"&gt;vyasd&lt;/A&gt;&lt;/DIV&gt;&lt;DIV style="background-color: #e5e5e5; margin-left: 2px; margin-right: 2px; border: 1px inset; padding: 5px;"&gt;&lt;I&gt;make libintel64 name=/home/user/libmkl_blas export=blas_example_list&lt;BR /&gt;make libintel64 name=/home/user/libmkl_cbals export=cblas_example_list&lt;BR /&gt;make libintel64 name=/home/user/libmkl_lapack export=lapack_example_list&lt;BR /&gt;&lt;/I&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;&lt;BR /&gt;What exactly custom library was used to link with Numpy? Did you change example-lists?&lt;/P&gt;</description>
      <pubDate>Tue, 07 Feb 2012 07:21:15 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815863#M4292</guid>
      <dc:creator>barragan_villanueva_</dc:creator>
      <dc:date>2012-02-07T07:21:15Z</dc:date>
    </item>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonzero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815864#M4293</link>
      <description>&lt;DIV id="_mcePaste"&gt;Hi,&lt;/DIV&gt;&lt;DIV id="_mcePaste"&gt;Here is my Numpy 1.6.1 site.cfg&lt;/DIV&gt;&lt;DIV id="_mcePaste"&gt;&lt;/DIV&gt;&lt;DIV id="_mcePaste"&gt;&lt;/DIV&gt;&lt;PRE&gt;[plain][mkl]
library_dirs = /home/vduggira:/cm/shared/apps/intel/composerxe/2011.5.220/compiler/lib/intel64:/cm/shared/apps/intel/composerxe/2011.5.220/mkl/lib/intel64
include_dirs = /cm/shared/apps/intel/composerxe/2011.5.220/mkl/include
mkl_libs = mkl_blas, mkl_cblas
lapack_libs = mkl_lapack
[/plain]&lt;/PRE&gt; &lt;DIV id="_mcePaste"&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;/DIV&gt;&lt;DIV&gt;The example-lists haven't been edited in any way.&lt;/DIV&gt;&lt;DIV&gt;&lt;/DIV&gt;&lt;DIV&gt;(This is numpy 1.6.1, the latest release. Not 1.6 as refered to in the subject line)
&lt;/DIV&gt;&lt;DIV&gt;&lt;/DIV&gt;&lt;DIV&gt;thanks,&lt;/DIV&gt;&lt;DIV&gt;Vyas&lt;/DIV&gt;</description>
      <pubDate>Tue, 07 Feb 2012 14:57:24 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815864#M4293</guid>
      <dc:creator>vyasd</dc:creator>
      <dc:date>2012-02-07T14:57:24Z</dc:date>
    </item>
    <item>
      <title>Linux64bit  Numpy 1.6  test_nonzero_byteswap &amp; test failed</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815865#M4294</link>
      <description>Hi,&lt;BR /&gt;&lt;BR /&gt;I'd recommend to create the only one custom library (withall needed functions together: blas, cblas, lapack) to be used in site.cfg</description>
      <pubDate>Thu, 09 Feb 2012 09:21:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Linux64bit-Numpy-1-6-test-nonsero-byteswap-test-failed/m-p/815865#M4294</guid>
      <dc:creator>barragan_villanueva_</dc:creator>
      <dc:date>2012-02-09T09:21:20Z</dc:date>
    </item>
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