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[GH-PAGES] Updated website

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Philippe Tillet
2022-06-12 00:47:57 +00:00
parent 410d612f77
commit b9fb88f0a6
158 changed files with 272 additions and 272 deletions
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16
v1.1.2/getting-started/tutorials/02-fused-softmax.html
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@@ -375,16 +375,16 @@ We will then compare its performance against (1) <code class="code docutils lite
<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 190.511628
1 384.0 585.142862 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.834951
94 12288.0 814.111783 415.661740 199.197579
95 12416.0 812.498981 411.722274 198.755369
96 12544.0 812.566838 412.971190 199.012395
97 12672.0 812.633240 412.097543 199.069228
93 12160.0 814.058574 406.603966 198.530610
94 12288.0 814.111783 415.661740 198.794749
95 12416.0 812.498981 412.149375 198.457532
96 12544.0 812.566838 412.546756 198.716830
97 12672.0 812.633240 412.097543 198.776477
[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 23.337 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 24.599 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>