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[GH-PAGES] Updated website

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Philippe Tillet
2021-07-23 07:43:04 +00:00
parent c0a449409d
commit 496b786cfc
17 changed files with 83 additions and 83 deletions
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getting-started/tutorials/02-fused-softmax.html
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@@ -346,11 +346,11 @@ 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 264.258068
1 384.0 585.142862 585.142862 261.446801
0 256.0 512.000001 546.133347 273.066674
1 384.0 585.142862 585.142862 267.130429
2 512.0 630.153853 606.814814 264.258068
3 640.0 682.666684 640.000002 265.974036
4 768.0 702.171410 664.216187 273.066663
3 640.0 682.666684 640.000002 269.473696
4 768.0 702.171410 664.216187 276.134828
.. ... ... ... ...
93 12160.0 812.359066 406.179533 329.483481
94 12288.0 812.429770 415.661740 329.602681
@@ -370,7 +370,7 @@ 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 8.183 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.189 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>