[GH-PAGES] Updated website

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Philippe Tillet
2022-04-29 00:42:56 +00:00
parent e7903f3c77
commit ea296daf2a
156 changed files with 268 additions and 268 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)
0 256.0 512.000001 546.133347 186.181817
0 256.0 512.000001 546.133347 188.321838
1 384.0 585.142862 558.545450 151.703707
2 512.0 655.360017 585.142849 154.566038
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 646.736871 163.839992
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 199.038365
94 12288.0 814.111783 415.661740 199.197579
95 12416.0 814.163950 412.149375 198.954424
96 12544.0 814.214963 412.546756 199.012395
97 12672.0 814.265046 411.679167 199.167004
93 12160.0 814.058574 405.755985 198.733401
94 12288.0 814.111783 415.661740 198.895304
95 12416.0 814.163950 411.722274 198.556711
96 12544.0 814.214963 412.971190 198.716830
97 12672.0 814.265046 411.679167 198.873965
[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 22.121 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 25.996 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>