[GH-PAGES] Updated website

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Philippe Tillet
2022-09-07 00:51:18 +00:00
parent c46759fc89
commit 8e1a3b0434
161 changed files with 290 additions and 290 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 546.133347 188.321838
0 256.0 512.000001 546.133347 190.511628
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
2 512.0 655.360017 585.142849 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 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 814.111783 415.222812 199.197579
95 12416.0 812.498981 411.296057 198.954424
96 12544.0 812.566838 412.546756 199.012395
97 12672.0 812.633240 412.097543 199.264875
93 12160.0 814.058574 405.333344 199.038365
94 12288.0 814.111783 415.222812 199.298541
95 12416.0 812.498981 411.722274 198.954424
96 12544.0 812.566838 412.971190 199.111113
97 12672.0 812.633240 411.679167 199.264875
[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 22.641 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.377 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>