<?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 IMX8MP EVK / efficientdet-lite0 NPU execution fail in i.MX Processors</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/IMX8MP-EVK-efficientdet-lite0-NPU-execution-fail/m-p/1450537#M189803</link>
    <description>&lt;P&gt;&lt;SPAN&gt;I'm trying to use&amp;nbsp;efficientdet-lite0(&lt;A href="https://tfhub.dev/tensorflow/lite-model/efficientdet/lite0/int8/1" target="_blank"&gt;TensorFlow Hub (tfhub.dev)&lt;/A&gt;) on&amp;nbsp;IMX8MP / NPU but currently I'm facing the following Ovxlib error (CPU execution is OK).&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;========&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;E [_init_tensor:408]Create vx tensor fail.&lt;BR /&gt;E [_create_tensor:478]Create vx tensor fail.&lt;BR /&gt;E [vsi_nn_CreateTensorFromData:1197]Create tensor from data fail.&lt;BR /&gt;benchmark_model: ovxlib_delegate.cpp:809: int nnrt::OvxlibDelegate::addTensor(vsi_nn_graph_t*, vsi_nn_tensor_attr_t*, size_t, const void*, bool): Assertion `false' failed.&lt;BR /&gt;Aborted&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;========&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;AlthoughI know&amp;nbsp;efficientdet-lite0 is not included in Supported test model (&lt;A href="https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf" target="_blank"&gt;i.MX Machine Learning User's Guide (nxp.com)&lt;/A&gt;&amp;nbsp;), there is no special operator in efficientdet-lite0. so I expected NPU&amp;nbsp;execution without any errors.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I'd like to grasp the countermeasure of this Ovxlib error.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 28 Apr 2022 08:23:56 GMT</pubDate>
    <dc:creator>Kei-Ueda</dc:creator>
    <dc:date>2022-04-28T08:23:56Z</dc:date>
    <item>
      <title>IMX8MP EVK / efficientdet-lite0 NPU execution fail</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/IMX8MP-EVK-efficientdet-lite0-NPU-execution-fail/m-p/1450537#M189803</link>
      <description>&lt;P&gt;&lt;SPAN&gt;I'm trying to use&amp;nbsp;efficientdet-lite0(&lt;A href="https://tfhub.dev/tensorflow/lite-model/efficientdet/lite0/int8/1" target="_blank"&gt;TensorFlow Hub (tfhub.dev)&lt;/A&gt;) on&amp;nbsp;IMX8MP / NPU but currently I'm facing the following Ovxlib error (CPU execution is OK).&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;========&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;E [_init_tensor:408]Create vx tensor fail.&lt;BR /&gt;E [_create_tensor:478]Create vx tensor fail.&lt;BR /&gt;E [vsi_nn_CreateTensorFromData:1197]Create tensor from data fail.&lt;BR /&gt;benchmark_model: ovxlib_delegate.cpp:809: int nnrt::OvxlibDelegate::addTensor(vsi_nn_graph_t*, vsi_nn_tensor_attr_t*, size_t, const void*, bool): Assertion `false' failed.&lt;BR /&gt;Aborted&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;========&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;AlthoughI know&amp;nbsp;efficientdet-lite0 is not included in Supported test model (&lt;A href="https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf" target="_blank"&gt;i.MX Machine Learning User's Guide (nxp.com)&lt;/A&gt;&amp;nbsp;), there is no special operator in efficientdet-lite0. so I expected NPU&amp;nbsp;execution without any errors.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I'd like to grasp the countermeasure of this Ovxlib error.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 28 Apr 2022 08:23:56 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/IMX8MP-EVK-efficientdet-lite0-NPU-execution-fail/m-p/1450537#M189803</guid>
      <dc:creator>Kei-Ueda</dc:creator>
      <dc:date>2022-04-28T08:23:56Z</dc:date>
    </item>
  </channel>
</rss>

