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    <title>topic AVX2 FMA warning in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/AVX2-FMA-warning/m-p/1127899#M25391</link>
    <description>&lt;P&gt;After installing the Intel-Optimized Tensorflow with MKL-DNN, why does it still say that AVX2, FMA, etc, are not supported. Can someone please guide me in detail about this? I am looking to get the best performance.&lt;/P&gt;</description>
    <pubDate>Mon, 07 Jan 2019 09:28:58 GMT</pubDate>
    <dc:creator>PSINH5</dc:creator>
    <dc:date>2019-01-07T09:28:58Z</dc:date>
    <item>
      <title>AVX2 FMA warning</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/AVX2-FMA-warning/m-p/1127899#M25391</link>
      <description>&lt;P&gt;After installing the Intel-Optimized Tensorflow with MKL-DNN, why does it still say that AVX2, FMA, etc, are not supported. Can someone please guide me in detail about this? I am looking to get the best performance.&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jan 2019 09:28:58 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/AVX2-FMA-warning/m-p/1127899#M25391</guid>
      <dc:creator>PSINH5</dc:creator>
      <dc:date>2019-01-07T09:28:58Z</dc:date>
    </item>
    <item>
      <title>Hi Sinha, </title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/AVX2-FMA-warning/m-p/1127900#M25392</link>
      <description>&lt;P&gt;Hi Sinha,&amp;nbsp;&lt;/P&gt;&lt;P&gt;Don't worry, it is expected message,&amp;nbsp; because we actually build&amp;nbsp; the intel -optimized Tensorflow with general&amp;nbsp;Instruction AVX by design.&amp;nbsp; Thus&amp;nbsp;the message mentioned advanced instruction AVX2 and FMA&amp;nbsp; are not supported.&amp;nbsp; But as Intel-Optimized Tensorflow are based on&amp;nbsp;MKL-DNN, which can automatically detect CPU instruction and distribute CPU-specific code to the machines with AVX2, AVX512 etc.&amp;nbsp; &amp;nbsp;So the kerner code speeded by Intel MKL-DNN is actually not limited by the TF build Option. &amp;nbsp;&lt;/P&gt;&lt;P&gt;We will consider to add such message somewhere.&amp;nbsp; And the TF Guide is here : &lt;A href="https://software.intel.com/en-us/articles/intel-optimization-for-tensorflow-installation-guide&amp;nbsp;" target="_blank"&gt;https://software.intel.com/en-us/articles/intel-optimization-for-tensorflow-installation-guide&amp;nbsp;&lt;/A&gt;;&lt;/P&gt;&lt;P&gt;Note: All binaries distributed by Intel&amp;nbsp;were built against the TensorFlow v1.12.0 tag&amp;nbsp;in a centOS container&amp;nbsp;with gcc 4.8.5&amp;nbsp;and glibc 2.17 with the following compiler flags (shown below as passed to bazel*)&lt;/P&gt;&lt;P&gt;--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-march=corei7-avx --copt=-mtune=core-avx-i --copt=-O3&lt;/P&gt;&lt;P&gt;Best Regards,&lt;/P&gt;&lt;P&gt;Ying&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Jan 2019 03:53:00 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/AVX2-FMA-warning/m-p/1127900#M25392</guid>
      <dc:creator>Ying_H_Intel</dc:creator>
      <dc:date>2019-01-08T03:53:00Z</dc:date>
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