[GH-PAGES] Updated website

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Philippe Tillet
2022-09-03 00:48:40 +00:00
parent 6f3b262d6c
commit 540e088822
161 changed files with 254 additions and 254 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 184.089886
1 384.0 614.400016 585.142862 153.600004
0 256.0 512.000001 546.133347 190.511628
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.631953
94 12288.0 814.111783 416.101597 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 812.566838 412.971190 198.815254
97 12672.0 812.633240 412.097543 198.873965
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 814.111783 415.222812 199.197579
95 12416.0 812.498981 411.722274 198.854847
96 12544.0 812.566838 412.546756 198.913776
97 12672.0 812.633240 411.679167 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 21.356 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.586 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>