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    <title>i.MX ProcessorsのトピックMX93 Segmentation fault in libethosu_delegate.so</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/MX93-Segmentation-fault-in-libethosu-delegate-so/m-p/2105916#M237720</link>
    <description>&lt;P&gt;We are using the MX93 NPU to perform audio processing. The neural network is recurrent with many input and output states. Loading such a vela compiled network with tensorflow lite+libethosu_delegate.so causes a segmentation violation.&amp;nbsp;&lt;/P&gt;&lt;P&gt;The issue can be reproduced on an &lt;LI-PRODUCT title="i.MX93EVK" id="i.MX93EVK"&gt;&lt;/LI-PRODUCT&gt;&amp;nbsp; with the latest firmware&amp;nbsp;LF_v6.12.3-1.0.0_images_IMX93EVK. Executed the commands in python3:&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;import tflite_runtime.interpreter as tflite&lt;/P&gt;&lt;P&gt;ext_delegate = [tflite.load_delegate("/usr/lib/libethosu_delegate.so")]&lt;/P&gt;&lt;P&gt;interpreter=tflite.Interpreter(model_path='vela-segv.tflite', experimental_delegates=ext_delegate)&lt;/P&gt;&lt;P&gt;interpreter.allocate_tensors()&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Networks with less variables work just fine.&lt;/P&gt;&lt;P&gt;Any ideas?&lt;/P&gt;</description>
    <pubDate>Wed, 28 May 2025 07:03:04 GMT</pubDate>
    <dc:creator>hramoser</dc:creator>
    <dc:date>2025-05-28T07:03:04Z</dc:date>
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      <title>MX93 Segmentation fault in libethosu_delegate.so</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/MX93-Segmentation-fault-in-libethosu-delegate-so/m-p/2105916#M237720</link>
      <description>&lt;P&gt;We are using the MX93 NPU to perform audio processing. The neural network is recurrent with many input and output states. Loading such a vela compiled network with tensorflow lite+libethosu_delegate.so causes a segmentation violation.&amp;nbsp;&lt;/P&gt;&lt;P&gt;The issue can be reproduced on an &lt;LI-PRODUCT title="i.MX93EVK" id="i.MX93EVK"&gt;&lt;/LI-PRODUCT&gt;&amp;nbsp; with the latest firmware&amp;nbsp;LF_v6.12.3-1.0.0_images_IMX93EVK. Executed the commands in python3:&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;import tflite_runtime.interpreter as tflite&lt;/P&gt;&lt;P&gt;ext_delegate = [tflite.load_delegate("/usr/lib/libethosu_delegate.so")]&lt;/P&gt;&lt;P&gt;interpreter=tflite.Interpreter(model_path='vela-segv.tflite', experimental_delegates=ext_delegate)&lt;/P&gt;&lt;P&gt;interpreter.allocate_tensors()&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Networks with less variables work just fine.&lt;/P&gt;&lt;P&gt;Any ideas?&lt;/P&gt;</description>
      <pubDate>Wed, 28 May 2025 07:03:04 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/MX93-Segmentation-fault-in-libethosu-delegate-so/m-p/2105916#M237720</guid>
      <dc:creator>hramoser</dc:creator>
      <dc:date>2025-05-28T07:03:04Z</dc:date>
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