[GH-PAGES] Updated website

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Philippe Tillet
2022-04-26 00:43:32 +00:00
parent 21613349ac
commit b0a569b724
156 changed files with 302 additions and 302 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 190.511628
1 384.0 438.857137 558.545450 151.703707
0 256.0 512.000001 512.000001 190.511628
1 384.0 438.857137 585.142862 151.703707
2 512.0 481.882344 606.814814 154.566038
3 640.0 465.454542 640.000002 158.759699
4 768.0 463.698115 664.216187 163.839992
4 768.0 463.698115 664.216187 162.754967
.. ... ... ... ...
93 12160.0 479.211815 405.333344 199.038365
94 12288.0 484.853264 415.222812 199.197579
95 12416.0 460.384708 412.149375 198.954424
96 12544.0 457.705824 412.546756 199.012395
97 12672.0 457.679461 411.679167 199.167004
93 12160.0 478.622374 405.333344 198.834951
94 12288.0 487.256521 415.661740 199.096718
95 12416.0 459.851851 411.722274 198.755369
96 12544.0 458.228323 412.971190 199.012395
97 12672.0 457.679461 412.097543 199.069228
[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 8.135 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 8.844 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>