[GH-PAGES] Updated website

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Philippe Tillet
2022-06-13 00:48:38 +00:00
parent b9fb88f0a6
commit 928064b729
158 changed files with 270 additions and 270 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 512.000001 190.511628
0 256.0 512.000001 512.000001 184.089886
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
4 768.0 722.823517 664.216187 163.839992
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.222812 199.298541
95 12416.0 812.498981 411.296057 198.954424
96 12544.0 812.566838 412.546756 199.111113
97 12672.0 811.007961 411.679167 199.264875
93 12160.0 812.359066 406.179533 198.834951
94 12288.0 812.429770 415.661740 199.096718
95 12416.0 812.498981 412.149375 198.755369
96 12544.0 812.566838 412.546756 199.012395
97 12672.0 811.007961 412.097543 199.167004
[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 21.844 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.172 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>