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* initial setup and rename "how to" to "setup" * move API to main nav * move api to main nav * add get starated, rework nav order * rename to install move mds out of install section * update api nav and home page * add install docs and python qs updates * python get started work * remove c and obj c for now * move java, python, and obj-c docs under api folder * move java api html to iframe (ugh) * remove api docs w/o details, move api text getstar * remove api docs wo detail updates get started * remvoe iframes * move eco system to main nav * fix api buttons * added more examples moved intro to ORT * fix links * fix get started titles * fix get started titles * fix more links * fix more links * more link fixes * fix nav remove inferencing and training subnav * fix top nav remove inference and training nav * fix title * fix tutorials nav hierarchy * fix python api button * add tenorflow keras example * fix quickstart toc * add imports fix spacing * fix links * update nav and python get started page * move ort training example, add coming soon for iot * update C# get started * fix spacing on quantization * Add some js get started content * fix formatting * fix typo * removed onnx-pytorch and onnx-tf * updated pip install torch and added links iot page * added pytorch tutorial heirarchy * updated web to docs soon added release blog link * add web link
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<title>Computation times — ONNX Runtime 1.7.0 documentation</title>
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<span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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<p><strong>05:52.417</strong> total execution time for <strong>auto_examples</strong> files:</p>
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<tbody>
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<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_train_convert_predict.py</span></code>)</p></td>
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<td><p>05:52.417</p></td>
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<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_backend.py</span></code>)</p></td>
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<td><p>00:00.000</p></td>
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<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_common_errors.py</span></code>)</p></td>
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<td><p>00:00.000</p></td>
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<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_convert_pipeline_vectorizer.py</span></code>)</p></td>
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<td><p>00:00.000</p></td>
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<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_load_and_predict.py</span></code>)</p></td>
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<td><p>00:00.000</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_metadata.html#sphx-glr-auto-examples-plot-metadata-py"><span class="std std-ref">Metadata</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_metadata.py</span></code>)</p></td>
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<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_pipeline.py</span></code>)</p></td>
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<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_profiling.py</span></code>)</p></td>
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<td><p>00:00.000</p></td>
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