[GH-PAGES] Updated website

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Philippe Tillet
2022-06-08 00:46:05 +00:00
parent 563da1150b
commit ec86d5284f
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 188.321838
0 256.0 546.133347 512.000001 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
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.429370
94 12288.0 812.429770 415.661740 198.794749
95 12416.0 812.498981 412.149375 198.358474
96 12544.0 812.566838 412.546756 198.716830
97 12672.0 812.633240 412.097543 198.776477
93 12160.0 812.359066 406.179533 198.936606
94 12288.0 812.429770 415.222812 199.197579
95 12416.0 812.498981 412.149375 198.854847
96 12544.0 812.566838 412.758863 199.111113
97 12672.0 811.007961 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 13.971 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.248 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>