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<section id="computation-times">
<span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
<p><strong>02:02.120</strong> total execution time for 11 files <strong>from auto_examples</strong>:</p>
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<tr class="row-odd"><th class="head"><p>Example</p></th>
<th class="head"><p>Time</p></th>
<th class="head"><p>Mem (MB)</p></th>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_bsp_ot.html#sphx-glr-auto-examples-plot-bsp-ot-py"><span class="std std-ref">Fast and accurate transport bijections using BSP-OT</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_bsp_ot.py</span></code>)</p></td>
<td><p>00:42.377</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="plot_quickstart_guide.html#sphx-glr-auto-examples-plot-quickstart-guide-py"><span class="std std-ref">Quickstart Guide</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_quickstart_guide.py</span></code>)</p></td>
<td><p>00:31.657</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_sparse_emd.html#sphx-glr-auto-examples-plot-sparse-emd-py"><span class="std std-ref">Sparse Optimal Transport</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_sparse_emd.py</span></code>)</p></td>
<td><p>00:29.065</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_debias_sink_div.html#sphx-glr-auto-examples-plot-debias-sink-div-py"><span class="std std-ref">Sinkhorn Divergence and Debiased OT solvers</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_debias_sink_div.py</span></code>)</p></td>
<td><p>00:06.226</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_solve_variants.html#sphx-glr-auto-examples-plot-solve-variants-py"><span class="std std-ref">Optimal Transport solvers comparison</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_solve_variants.py</span></code>)</p></td>
<td><p>00:03.483</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="plot_Intro_OT.html#sphx-glr-auto-examples-plot-intro-ot-py"><span class="std std-ref">Introduction to Optimal Transport with Python</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_Intro_OT.py</span></code>)</p></td>
<td><p>00:02.847</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_OT_2D_samples.html#sphx-glr-auto-examples-plot-ot-2d-samples-py"><span class="std std-ref">Optimal Transport between empirical distributions</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_OT_2D_samples.py</span></code>)</p></td>
<td><p>00:02.396</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_OT_L1_vs_L2.html#sphx-glr-auto-examples-plot-ot-l1-vs-l2-py"><span class="std std-ref">Optimal Transport with different ground metrics</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_OT_L1_vs_L2.py</span></code>)</p></td>
<td><p>00:01.534</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_optim_OTreg.html#sphx-glr-auto-examples-plot-optim-otreg-py"><span class="std std-ref">Regularized OT with generic solver</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_optim_OTreg.py</span></code>)</p></td>
<td><p>00:01.028</p></td>
<td><p>0.0</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="plot_OT_1D.html#sphx-glr-auto-examples-plot-ot-1d-py"><span class="std std-ref">Optimal Transport for fixed support</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_OT_1D.py</span></code>)</p></td>
<td><p>00:00.868</p></td>
<td><p>0.0</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="plot_compute_emd.html#sphx-glr-auto-examples-plot-compute-emd-py"><span class="std std-ref">Geometry of OT distances</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_compute_emd.py</span></code>)</p></td>
<td><p>00:00.638</p></td>
<td><p>0.0</p></td>
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