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2 changes: 1 addition & 1 deletion docs/api/python/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 36e772eb12f6d489cf39825d3e063ad4
config: 8e1f5fa515073dcc8e8815ff920f1477
tags: 645f666f9bcd5a90fca523b33c5a78b7
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105 changes: 34 additions & 71 deletions docs/api/python/auto_examples/index.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />

<title>Gallery of examples &#8212; ONNX Runtime 1.11.0 documentation</title>
<title>Gallery of examples &#8212; ONNX Runtime 1.13.0 documentation</title>
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<div class="body" role="main">

<section id="gallery-of-examples">
<span id="sphx-glr-auto-examples"></span><h1>Gallery of examples<a class="headerlink" href="#gallery-of-examples" title="Permalink to this headline">¶</a></h1>
<h1>Gallery of examples<a class="headerlink" href="#gallery-of-examples" title="Permalink to this heading">¶</a></h1>
<div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="There is no other way to look into one model stored in ONNX format than looking into its node w..."><figure class="align-default" id="id1">
<img alt="Draw a pipeline" src="../images/sphx_glr_plot_pipeline_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_pipeline.html#sphx-glr-auto-examples-plot-pipeline-py"><span class="std std-ref">Draw a pipeline</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="There is no other way to look into one model stored in ONNX format than looking into its node w..."><img alt="Draw a pipeline" src="../images/sphx_glr_plot_pipeline_thumb.png" />
<p><a class="reference internal" href="plot_pipeline.html#sphx-glr-auto-examples-plot-pipeline-py"><span class="std std-ref">Draw a pipeline</span></a></p>
<div class="sphx-glr-thumbnail-title">Draw a pipeline</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to load a model and compute the output for an input vector. It al..."><img alt="Load and predict with ONNX Runtime and a very simple model" src="../images/sphx_glr_plot_load_and_predict_thumb.png" />
<p><a class="reference internal" href="plot_load_and_predict.html#sphx-glr-auto-examples-plot-load-and-predict-py"><span class="std std-ref">Load and predict with ONNX Runtime and a very simple model</span></a></p>
<div class="sphx-glr-thumbnail-title">Load and predict with ONNX Runtime and a very simple model</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* extends the `onnx backend API &lt;https://github.com/onnx/onnx/blob/master/docs/Im..."><img alt="ONNX Runtime Backend for ONNX" src="../images/sphx_glr_plot_backend_thumb.png" />
<p><a class="reference internal" href="plot_backend.html#sphx-glr-auto-examples-plot-backend-py"><span class="std std-ref">ONNX Runtime Backend for ONNX</span></a></p>
<div class="sphx-glr-thumbnail-title">ONNX Runtime Backend for ONNX</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="ONNX format contains metadata related to how the model was produced. It is useful when the mode..."><img alt="Metadata" src="../images/sphx_glr_plot_metadata_thumb.png" />
<p><a class="reference internal" href="plot_metadata.html#sphx-glr-auto-examples-plot-metadata-py"><span class="std std-ref">Metadata</span></a></p>
<div class="sphx-glr-thumbnail-title">Metadata</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* can profile the execution of the model. This example shows how to interpret the ..."><img alt="Profile the execution of a simple model" src="../images/sphx_glr_plot_profiling_thumb.png" />
<p><a class="reference internal" href="plot_profiling.html#sphx-glr-auto-examples-plot-profiling-py"><span class="std std-ref">Profile the execution of a simple model</span></a></p>
<div class="sphx-glr-thumbnail-title">Profile the execution of a simple model</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a scikit-learn p..."><img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_convert_pipeline_vectorizer_thumb.png" />
<p><a class="reference internal" href="plot_convert_pipeline_vectorizer.html#sphx-glr-auto-examples-plot-convert-pipeline-vectorizer-py"><span class="std std-ref">Train, convert and predict with ONNX Runtime</span></a></p>
<div class="sphx-glr-thumbnail-title">Train, convert and predict with ONNX Runtime</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example looks into several common situations in which *onnxruntime* does not return the mo..."><img alt="Common errors with onnxruntime" src="../images/sphx_glr_plot_common_errors_thumb.png" />
<p><a class="reference internal" href="plot_common_errors.html#sphx-glr-auto-examples-plot-common-errors-py"><span class="std std-ref">Common errors with onnxruntime</span></a></p>
<div class="sphx-glr-thumbnail-title">Common errors with onnxruntime</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a machine learne..."><img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_train_convert_predict_thumb.png" />
<p><a class="reference internal" href="plot_train_convert_predict.html#sphx-glr-auto-examples-plot-train-convert-predict-py"><span class="std std-ref">Train, convert and predict with ONNX Runtime</span></a></p>
<div class="sphx-glr-thumbnail-title">Train, convert and predict with ONNX Runtime</div>
</div></div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to load a model and compute the output for an input vector. It al..."><figure class="align-default" id="id2">
<img alt="Load and predict with ONNX Runtime and a very simple model" src="../images/sphx_glr_plot_load_and_predict_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_load_and_predict.html#sphx-glr-auto-examples-plot-load-and-predict-py"><span class="std std-ref">Load and predict with ONNX Runtime and a very simple model</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* extends the `onnx backend API &lt;https://github.com/onnx/onnx/blob/master/docs/Im..."><figure class="align-default" id="id3">
<img alt="ONNX Runtime Backend for ONNX" src="../images/sphx_glr_plot_backend_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_backend.html#sphx-glr-auto-examples-plot-backend-py"><span class="std std-ref">ONNX Runtime Backend for ONNX</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="ONNX format contains metadata related to how the model was produced. It is useful when the mode..."><figure class="align-default" id="id4">
<img alt="Metadata" src="../images/sphx_glr_plot_metadata_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_metadata.html#sphx-glr-auto-examples-plot-metadata-py"><span class="std std-ref">Metadata</span></a></span><a class="headerlink" href="#id4" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* can profile the execution of the model. This example shows how to interpret the ..."><figure class="align-default" id="id5">
<img alt="Profile the execution of a simple model" src="../images/sphx_glr_plot_profiling_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_profiling.html#sphx-glr-auto-examples-plot-profiling-py"><span class="std std-ref">Profile the execution of a simple model</span></a></span><a class="headerlink" href="#id5" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a scikit-learn p..."><figure class="align-default" id="id6">
<img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_convert_pipeline_vectorizer_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_convert_pipeline_vectorizer.html#sphx-glr-auto-examples-plot-convert-pipeline-vectorizer-py"><span class="std std-ref">Train, convert and predict with ONNX Runtime</span></a></span><a class="headerlink" href="#id6" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This example looks into several common situations in which *onnxruntime* does not return the mo..."><figure class="align-default" id="id7">
<img alt="Common errors with onnxruntime" src="../images/sphx_glr_plot_common_errors_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_common_errors.html#sphx-glr-auto-examples-plot-common-errors-py"><span class="std std-ref">Common errors with onnxruntime</span></a></span><a class="headerlink" href="#id7" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a machine learne..."><figure class="align-default" id="id8">
<img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_train_convert_predict_thumb.png" />
<figcaption>
<p><span class="caption-text"><a class="reference internal" href="plot_train_convert_predict.html#sphx-glr-auto-examples-plot-train-convert-predict-py"><span class="std std-ref">Train, convert and predict with ONNX Runtime</span></a></span><a class="headerlink" href="#id8" title="Permalink to this image">¶</a></p>
</figcaption>
</figure>
</div><div class="toctree-wrapper compound">
</div>
<div class="sphx-glr-clear"></div><div class="sphx-glr-footer class sphx-glr-footer-gallery docutils container">
<div class="sphx-glr-footer sphx-glr-footer-gallery docutils container">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">all</span> <span class="pre">examples</span> <span class="pre">in</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">auto_examples_python.zip</span></code></a></p>
</div>
Expand Down Expand Up @@ -139,15 +102,15 @@ <h1 class="logo"><a href="../index.html">ONNX Runtime</a></h1>
<h3>Navigation</h3>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../api_summary.html">API Summary</a></li>
<li class="toctree-l1"><a class="reference internal" href="../api_summary.html">API</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">Gallery of examples</a></li>
</ul>

<div class="relations">
<h3>Related Topics</h3>
<ul>
<li><a href="../index.html">Documentation overview</a><ul>
<li>Previous: <a href="../api_summary.html" title="previous chapter">API Summary</a></li>
<li>Previous: <a href="../api_summary.html" title="previous chapter">API</a></li>
<li>Next: <a href="plot_pipeline.html" title="next chapter">Draw a pipeline</a></li>
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Expand All @@ -161,7 +124,7 @@ <h3 id="searchlabel">Quick search</h3>
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