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    <title>PyPI recent updates for auto-op-inspect</title>
    <link>https://pypi.org/project/auto-op-inspect/</link>
    <description>Recent updates to the Python Package Index for auto-op-inspect</description>
    <language>en</language>    <item>
      <title>1.0</title>
      <link>https://pypi.org/project/auto-op-inspect/1.0/</link>
      <description>AutoOpInspect is a Python tool designed to facilitate the inspection and profiling of operators within PyTorch models, aiming to assist machine learning developers, researchers, and enthusiasts in debugging, optimizing, and understanding PyTorch models more efficiently and effectively.</description>
      <pubDate>Sun, 12 Nov 2023 04:52:47 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/auto-op-inspect/0.2.1/</link>
      <description>AutoOpInspect is a Python tool designed to facilitate the inspection and profiling of operators within PyTorch models, aiming to assist machine learning developers, researchers, and enthusiasts in debugging, optimizing, and understanding PyTorch models more efficiently and effectively.</description>
      <pubDate>Mon, 11 Sep 2023 10:17:57 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/auto-op-inspect/0.2.0/</link>
      <description>AutoOpInspect is a Python tool designed to facilitate the inspection and profiling of operators within PyTorch models, aiming to assist machine learning developers, researchers, and enthusiasts in debugging, optimizing, and understanding PyTorch models more efficiently and effectively.</description>
      <pubDate>Sun, 10 Sep 2023 17:39:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/auto-op-inspect/0.1.0/</link>
      <description>AutoOpInspect is a Python tool designed to facilitate the inspection and profiling of operators within PyTorch models, aiming to assist machine learning developers, researchers, and enthusiasts in debugging, optimizing, and understanding PyTorch models more efficiently and effectively.</description>
      <pubDate>Sat, 09 Sep 2023 16:56:48 GMT</pubDate>
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