gaspersic/triton
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[GH-PAGES] Updated website

Browse Source
This commit is contained in:
Philippe Tillet
2021-07-28 06:03:23 +00:00
parent 1da7ca38c7
commit 3d015bafaf
17 changed files with 81 additions and 81 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
getting-started/tutorials/02-fused-softmax.html
View File

@@ -346,17 +346,17 @@ 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 273.066674
0 256.0 512.000001 546.133347 264.258068
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 269.473696
3 640.0 682.666684 640.000002 265.974036
4 768.0 702.171410 664.216187 273.066663
.. ... ... ... ...
93 12160.0 812.359066 405.755985 329.483481
93 12160.0 812.359066 406.179533 329.483481
94 12288.0 812.429770 415.661740 329.602681
95 12416.0 810.840807 411.722274 329.173158
95 12416.0 810.840807 412.149375 328.900662
96 12544.0 810.925276 412.971190 329.292871
97 12672.0 811.007961 412.097543 329.142870
97 12672.0 811.007961 412.516771 329.142870
[98 rows x 4 columns]
</pre></div>
@@ -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 8.170 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.191 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>