[GH-PAGES] Updated website

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Philippe Tillet
2022-07-23 00:49:35 +00:00
parent 10f1d77697
commit 5f9c7bc693
165 changed files with 273 additions and 273 deletions

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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)
0 256.0 512.000001 512.000001 186.181817
1 384.0 614.400016 585.142862 153.600004
0 256.0 512.000001 512.000001 190.511628
1 384.0 614.400016 558.545450 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 682.666684 640.000002 158.759699
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 198.834951
94 12288.0 812.429770 415.222812 199.197579
95 12416.0 810.840807 412.149375 198.854847
96 12544.0 810.925276 412.546756 199.111113
97 12672.0 811.007961 412.097543 199.167004
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.222812 199.298541
95 12416.0 812.498981 412.149375 198.954424
96 12544.0 810.925276 412.546756 199.209928
97 12672.0 811.007961 412.097543 199.264875
[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 25.192 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 26.158 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>