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[GH-PAGES] Updated website

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Philippe Tillet
2021-03-29 11:59:18 -04:00
parent 64141f0fca
commit 5cefc81fce
30 changed files with 1437 additions and 55 deletions
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getting-started/tutorials/02-fused-softmax.html
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@@ -395,7 +395,7 @@ We will then compare its performance against (1) <code class="code docutils lite
<span class="n">benchmark</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">show_plots</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
</pre></div>
</div>
<img alt="softmax-performance" class="sphx-glr-single-img" src="../../_images/sphx_glr_02-fused-softmax_001.png" />
<img alt="02 fused softmax" class="sphx-glr-single-img" src="../../_images/sphx_glr_02-fused-softmax_001.png" />
<p>In the above plot, we can see that:</p>
<blockquote>
<div><ul class="simple">
@@ -405,7 +405,7 @@ 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 19.933 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 25.654 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>