[GH-PAGES] Updated website

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Philippe Tillet
2022-04-16 00:44:44 +00:00
parent 824d060dfb
commit 9b0ee317d9
160 changed files with 365 additions and 380 deletions

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@@ -374,16 +374,16 @@ 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
0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 646.736871 162.754967
2 512.0 655.360017 606.814814 156.038096
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 646.736871 163.839992
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.834951
94 12288.0 814.111783 416.101597 199.096718
95 12416.0 814.163950 412.577363 198.755369
96 12544.0 812.566838 413.183734 198.913776
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 812.498981 412.149375 198.854847
96 12544.0 812.566838 412.971190 199.012395
97 12672.0 812.633240 412.097543 199.069228
[98 rows x 4 columns]
@@ -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 25.535 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 24.321 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>