[GH-PAGES] Updated website

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Philippe Tillet
2022-08-22 00:50:12 +00:00
parent 76917619fc
commit 9a6ec45a5b
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
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
0 256.0 512.000001 512.000001 190.511628
1 384.0 585.142862 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.834951
94 12288.0 814.111783 416.101597 199.197579
95 12416.0 812.498981 412.149375 198.854847
96 12544.0 812.566838 412.971190 199.111113
97 12672.0 812.633240 412.097543 199.167004
93 12160.0 812.359066 406.179533 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
97 12672.0 812.633240 412.097543 199.069228
[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 21.863 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 18.756 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>