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    <title>topic Re: What caused NNAPI Delegate of TensorFlow Lite is deprecated. in i.MX Processors</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1628636#M203789</link>
    <description>&lt;P&gt;The nnapi is maintained by Google and VX&amp;nbsp;&lt;SPAN&gt;Delegate is maintained by NXP. The maintenance&amp;nbsp; of nnapi is inconvenient.&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 06 Apr 2023 02:58:26 GMT</pubDate>
    <dc:creator>Zhiming_Liu</dc:creator>
    <dc:date>2023-04-06T02:58:26Z</dc:date>
    <item>
      <title>What caused NNAPI Delegate of TensorFlow Lite is deprecated.</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1626756#M203612</link>
      <description>&lt;P&gt;In i.MX Machine Learning User's Guide LF5.15.5-1.0.0,&amp;nbsp;I found the following release note sentence:&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;NNAPI Delegate of TensorFlow Lite and NNAPI Execution Provider of ONNX Runtime is deprecated and will be removed in the future. For leveraging ML model acceleration use VX Delegate instead.&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;What caused NNAPI Delegate of TensorFlow Lite is deprecated ?&lt;/DIV&gt;&lt;DIV class=""&gt;Is there a document that mentions NNAPI bugs?&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Mon, 03 Apr 2023 09:22:52 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1626756#M203612</guid>
      <dc:creator>hsaito</dc:creator>
      <dc:date>2023-04-03T09:22:52Z</dc:date>
    </item>
    <item>
      <title>Re: What caused NNAPI Delegate of TensorFlow Lite is deprecated.</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1628636#M203789</link>
      <description>&lt;P&gt;The nnapi is maintained by Google and VX&amp;nbsp;&lt;SPAN&gt;Delegate is maintained by NXP. The maintenance&amp;nbsp; of nnapi is inconvenient.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 06 Apr 2023 02:58:26 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1628636#M203789</guid>
      <dc:creator>Zhiming_Liu</dc:creator>
      <dc:date>2023-04-06T02:58:26Z</dc:date>
    </item>
    <item>
      <title>Re: What caused NNAPI Delegate of TensorFlow Lite is deprecated.</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1628979#M203818</link>
      <description>&lt;P&gt;Thank you for your reply.&lt;BR /&gt;I understand that NNAPI is very difficult to maintain.&lt;/P&gt;</description>
      <pubDate>Thu, 06 Apr 2023 09:34:50 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/What-caused-NNAPI-Delegate-of-TensorFlow-Lite-is-deprecated/m-p/1628979#M203818</guid>
      <dc:creator>hsaito</dc:creator>
      <dc:date>2023-04-06T09:34:50Z</dc:date>
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