[GH-PAGES] Updated website

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Philippe Tillet
2022-06-24 00:46:49 +00:00
parent 77f3a2cf96
commit 08c4b2c3be
175 changed files with 1240 additions and 306 deletions

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@@ -369,17 +369,17 @@ 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 546.133347 188.321838
1 384.0 585.142862 585.142862 151.703707
0 256.0 512.000001 512.000001 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 160.000000
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 405.333344 198.530610
94 12288.0 812.429770 415.661740 198.794749
95 12416.0 812.498981 411.296057 198.457532
96 12544.0 810.925276 412.971190 198.618504
97 12672.0 811.007961 412.097543 198.776477
93 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 415.661740 198.995960
95 12416.0 810.840807 412.149375 198.556711
96 12544.0 810.925276 412.971190 198.815254
97 12672.0 811.007961 412.097543 198.873965
[98 rows x 4 columns]
</pre></div>
@@ -392,7 +392,7 @@ 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 23.140 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.445 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>