<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic numpy issue with mkl 10.1 in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/numpy-issue-with-mkl-10-1/m-p/799211#M2929</link>
    <description>hi,&lt;BR /&gt;i have ict 11/069 and mkl 10.1, os is rhel 5.2 x86_64, processor is intel xeon. I have installed numpy 1.6.0 in python 2.6 using mkl.&lt;BR /&gt;now when i run numpy.test, it hangs here :&lt;BR /&gt;&lt;BR /&gt;test_invalid_type_descr (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test_non_existent_method (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test_non_string_array (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test1 (test_defchararray.TestWhitespace) ... ok&lt;BR /&gt;test_dtype (test_dtype.TestBuiltin) ... ok&lt;BR /&gt;Only test hash runs at all. ... ok&lt;BR /&gt;test_metadata_rejects_nondict (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_metadata_takes_dict (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_nested_metadata (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_no_metadata (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test1 (test_dtype.TestMonsterType) ... ok&lt;BR /&gt;test_different_names (test_dtype.TestRecord) ... ok&lt;BR /&gt;test_different_titles (test_dtype.TestRecord) ... ok&lt;BR /&gt;Test whether equivalent record dtypes hash the same. ... ok&lt;BR /&gt;Test if an appropriate exception is raised when passing bad values to ... ok&lt;BR /&gt;Test whether equivalent subarray dtypes hash the same. ... ok&lt;BR /&gt;Test whether different subarray dtypes hash differently. ... ok&lt;BR /&gt;Test some data types that are equal ... ok&lt;BR /&gt;Test some more complicated cases that shouldn't be equal ... ok&lt;BR /&gt;Test some simple cases that shouldn't be equal ... ok&lt;BR /&gt;test_single_subarray (test_dtype.TestSubarray) ... ok&lt;BR /&gt;test_einsum_errors (test_einsum.TestEinSum) ... ok&lt;BR /&gt;test_einsum_sums_cfloat128 (test_einsum.TestEinSum) ... &lt;BR /&gt;&lt;BR /&gt;in site.cfg,&lt;BR /&gt;mkl_libs = mkl_intel_lp64, mkl_intel_thread, mkl_core, mkl_mc, mkl_def &lt;BR /&gt;lapack_libs = mkl_lapack &lt;BR /&gt;</description>
    <pubDate>Thu, 03 Nov 2011 03:36:06 GMT</pubDate>
    <dc:creator>aksharb</dc:creator>
    <dc:date>2011-11-03T03:36:06Z</dc:date>
    <item>
      <title>numpy issue with mkl 10.1</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/numpy-issue-with-mkl-10-1/m-p/799211#M2929</link>
      <description>hi,&lt;BR /&gt;i have ict 11/069 and mkl 10.1, os is rhel 5.2 x86_64, processor is intel xeon. I have installed numpy 1.6.0 in python 2.6 using mkl.&lt;BR /&gt;now when i run numpy.test, it hangs here :&lt;BR /&gt;&lt;BR /&gt;test_invalid_type_descr (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test_non_existent_method (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test_non_string_array (test_defchararray.TestVecString) ... ok&lt;BR /&gt;test1 (test_defchararray.TestWhitespace) ... ok&lt;BR /&gt;test_dtype (test_dtype.TestBuiltin) ... ok&lt;BR /&gt;Only test hash runs at all. ... ok&lt;BR /&gt;test_metadata_rejects_nondict (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_metadata_takes_dict (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_nested_metadata (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test_no_metadata (test_dtype.TestMetadata) ... ok&lt;BR /&gt;test1 (test_dtype.TestMonsterType) ... ok&lt;BR /&gt;test_different_names (test_dtype.TestRecord) ... ok&lt;BR /&gt;test_different_titles (test_dtype.TestRecord) ... ok&lt;BR /&gt;Test whether equivalent record dtypes hash the same. ... ok&lt;BR /&gt;Test if an appropriate exception is raised when passing bad values to ... ok&lt;BR /&gt;Test whether equivalent subarray dtypes hash the same. ... ok&lt;BR /&gt;Test whether different subarray dtypes hash differently. ... ok&lt;BR /&gt;Test some data types that are equal ... ok&lt;BR /&gt;Test some more complicated cases that shouldn't be equal ... ok&lt;BR /&gt;Test some simple cases that shouldn't be equal ... ok&lt;BR /&gt;test_single_subarray (test_dtype.TestSubarray) ... ok&lt;BR /&gt;test_einsum_errors (test_einsum.TestEinSum) ... ok&lt;BR /&gt;test_einsum_sums_cfloat128 (test_einsum.TestEinSum) ... &lt;BR /&gt;&lt;BR /&gt;in site.cfg,&lt;BR /&gt;mkl_libs = mkl_intel_lp64, mkl_intel_thread, mkl_core, mkl_mc, mkl_def &lt;BR /&gt;lapack_libs = mkl_lapack &lt;BR /&gt;</description>
      <pubDate>Thu, 03 Nov 2011 03:36:06 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/numpy-issue-with-mkl-10-1/m-p/799211#M2929</guid>
      <dc:creator>aksharb</dc:creator>
      <dc:date>2011-11-03T03:36:06Z</dc:date>
    </item>
    <item>
      <title>numpy issue with mkl 10.1</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/numpy-issue-with-mkl-10-1/m-p/799212#M2930</link>
      <description>There's no cfloat128 support in MKL, so a correctly configured build wouldn't be using MKL in that test. Perhaps you should be consulting numpy experts.</description>
      <pubDate>Thu, 03 Nov 2011 11:19:52 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/numpy-issue-with-mkl-10-1/m-p/799212#M2930</guid>
      <dc:creator>TimP</dc:creator>
      <dc:date>2011-11-03T11:19:52Z</dc:date>
    </item>
  </channel>
</rss>

