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* Update python documentation * remove two unnecessary files Co-authored-by: xavier dupré <xavier.dupre@gmail.com>
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<title>Gallery of examples — ONNX Runtime 1.6.0 documentation</title>
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<div class="section" id="gallery-of-examples">
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<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>
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<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..."><div class="figure align-default" id="id1">
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<img alt="Draw a pipeline" src="../images/sphx_glr_plot_pipeline_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to load a model and compute the output for an input vector. It al..."><div class="figure align-default" id="id2">
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<img alt="Load and predict with ONNX Runtime and a very simple model" src="../images/sphx_glr_plot_load_and_predict_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* extends the `onnx backend API <https://github.com/onnx/onnx/blob/master/docs/Im..."><div class="figure align-default" id="id3">
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<img alt="ONNX Runtime Backend for ONNX" src="../images/sphx_glr_plot_backend_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="ONNX format contains metadata related to how the model was produced. It is useful when the mode..."><div class="figure align-default" id="id4">
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<img alt="Metadata" src="../images/sphx_glr_plot_metadata_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="*ONNX Runtime* can profile the execution of the model. This example shows how to interpret the ..."><div class="figure align-default" id="id5">
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<img alt="Profile the execution of a simple model" src="../images/sphx_glr_plot_profiling_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a scikit-learn p..."><div class="figure align-default" id="id6">
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<img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_convert_pipeline_vectorizer_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="This example looks into several common situations in which *onnxruntime* does not return the mo..."><div class="figure align-default" id="id7">
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<img alt="Common errors with onnxruntime" src="../images/sphx_glr_plot_common_errors_thumb.png" />
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<p class="caption"><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>
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<div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates an end to end scenario starting with the training of a machine learne..."><div class="figure align-default" id="id8">
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<img alt="Train, convert and predict with ONNX Runtime" src="../images/sphx_glr_plot_train_convert_predict_thumb.png" />
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<p class="caption"><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>
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<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>
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<p><a class="reference download internal" download="" href="../downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.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">Jupyter</span> <span class="pre">notebooks:</span> <span class="pre">auto_examples_jupyter.zip</span></code></a></p>
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<h1 class="logo"><a href="../index.html">ONNX Runtime</a></h1>
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<h3>Related Topics</h3>
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<li><a href="../index.html">Documentation overview</a><ul>
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<li>Previous: <a href="../api_summary.html" title="previous chapter">API Summary</a></li>
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<li>Next: <a href="plot_pipeline.html" title="next chapter">Draw a pipeline</a></li>
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