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[GH-PAGES] Updated website

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Philippe Tillet
2021-08-06 00:13:45 +00:00
parent c0858c5dac
commit a49ee6a727
17 changed files with 83 additions and 83 deletions
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14
getting-started/tutorials/02-fused-softmax.html
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@@ -387,15 +387,15 @@ We will then compare its performance against (1) <code class="code docutils lite
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 153.600004
2 512.0 630.153853 606.814814 154.566038
3 640.0 660.645170 640.000002 160.000000
2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.222812 199.298541
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 812.429770 415.661740 199.197579
95 12416.0 810.840807 412.149375 198.854847
96 12544.0 810.925276 412.971190 199.209928
97 12672.0 809.389265 412.097543 199.167004
96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.167004
[98 rows x 4 columns]
</pre></div>
@@ -409,7 +409,7 @@ This means that – when temporary data is too large to fit entirely in the GPU
Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 13.186 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.654 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>