[GH-PAGES] Updated website

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Philippe Tillet
2022-04-21 00:45:25 +00:00
parent 8d0e47d73e
commit ab04e47bf2
158 changed files with 312 additions and 312 deletions

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@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 512.000001 188.321838
0 256.0 512.000001 546.133347 190.511628
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 154.566038
2 512.0 655.360017 606.814814 156.038096
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
4 768.0 722.823517 646.736871 163.839992
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 814.111783 415.661740 199.197579
95 12416.0 812.498981 411.722274 198.904612
96 12544.0 812.566838 412.546756 199.012395
97 12672.0 812.633240 412.097543 199.167004
93 12160.0 812.359066 405.755985 198.631953
94 12288.0 814.111783 415.661740 198.895304
95 12416.0 812.498981 412.149375 198.655991
96 12544.0 812.566838 412.971190 198.716830
97 12672.0 812.633240 412.097543 198.873965
[98 rows x 4 columns]
</pre></div>
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.390 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.965 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>