[GH-PAGES] Updated website

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Philippe Tillet
2022-06-18 00:47:57 +00:00
parent 4412443b59
commit 5de1b15fff
158 changed files with 260 additions and 260 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)
0 256.0 546.133347 512.000001 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
0 256.0 512.000001 546.133347 190.511628
1 384.0 614.400016 558.545450 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 198.631953
94 12288.0 812.429770 415.661740 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 810.925276 412.971190 198.815254
97 12672.0 812.633240 412.097543 198.776477
93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 812.498981 411.722274 198.854847
96 12544.0 812.566838 412.971190 199.111113
97 12672.0 812.633240 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 22.808 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.625 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>