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[GH-PAGES] Updated website

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Philippe Tillet
2022-09-04 00:51:14 +00:00
parent 540e088822
commit ef6b89f4f1
165 changed files with 266 additions and 266 deletions
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master/getting-started/tutorials/02-fused-softmax.html
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@@ -371,17 +371,17 @@ 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)
0 256.0 546.133347 546.133347 188.321838
0 256.0 546.133347 546.133347 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 812.429770 415.661740 198.794749
94 12288.0 812.429770 416.101597 198.895304
95 12416.0 812.498981 412.149375 198.457532
96 12544.0 812.566838 412.971190 198.716830
97 12672.0 812.633240 412.097543 198.776477
96 12544.0 810.925276 412.971190 198.766042
97 12672.0 811.007961 412.097543 198.873965
[98 rows x 4 columns]
</pre></div>
@@ -394,7 +394,7 @@ 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 26.870 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 31.794 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>