[GH-PAGES] Updated website

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Philippe Tillet
2022-04-20 00:43:07 +00:00
parent 245e5ab128
commit 8d0e47d73e
156 changed files with 282 additions and 282 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 190.511628
0 256.0 512.000001 512.000001 188.321838
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 156.038096
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 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 405.755985 198.834951
94 12288.0 814.111783 415.661740 199.096718
95 12416.0 812.498981 412.149375 198.755369
96 12544.0 812.566838 412.971190 199.012395
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
[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 24.818 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.390 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>