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[GH-PAGES] Updated website

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Philippe Tillet
2021-03-11 12:06:10 -05:00
parent 8316c4bbb1
commit b4495e0ddc
16 changed files with 11 additions and 30 deletions
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2
getting-started/tutorials/01-vector-add.html
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@@ -355,7 +355,7 @@ for different problem sizes.</p>
</pre></div>
</div>
<img alt="vector-add-performance" class="sphx-glr-single-img" src="../../_images/sphx_glr_01-vector-add_001.png" />
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.768 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.901 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p>

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getting-started/tutorials/02-fused-softmax.html
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@@ -386,7 +386,7 @@ This means that – when temporary data is too large to fit entirely in the GPU
Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 21.653 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 21.805 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>

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getting-started/tutorials/sg_execution_times.html
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<div class="section" id="computation-times">
<span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline"></a></h1>
<p><strong>00:27.420</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>00:27.706</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
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@@ -169,11 +169,11 @@
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<tr class="row-odd"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
<td><p>00:21.653</p></td>
<td><p>00:21.805</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
<td><p>00:05.768</p></td>
<td><p>00:05.901</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>