[GH-PAGES] Updated website

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Philippe Tillet
2022-06-23 00:46:26 +00:00
parent 6bf3700c9c
commit 77f3a2cf96
158 changed files with 276 additions and 276 deletions

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Computation times
=================
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**16:35.469** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.032 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.178 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:22.534 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:24.882 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.149 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:23.140 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.076 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.793 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.474 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.476 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

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@@ -335,12 +335,12 @@ for different problem sizes.</p>
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@@ -370,16 +370,16 @@ We will then compare its performance against (1) <code class="code docutils lite
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@@ -372,7 +372,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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<p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.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">04-low-memory-dropout.py</span></code></a></p>

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@@ -195,35 +195,35 @@ to download the full example code</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
N Triton Torch Apex
0 1024.0 585.142849 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 682.666643 334.367358 520.126988
1 1536.0 614.400016 323.368435 511.999982
2 2048.0 682.666643 337.814445 520.126988
3 2560.0 694.237267 362.477870 512.000013
4 3072.0 712.347810 378.092307 501.551037
5 3584.0 725.873439 384.859062 451.527536
6 4096.0 728.177767 381.023256 451.972420
7 4608.0 676.403666 396.387087 431.157877
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 395.228063 415.262685
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 700.631610 398.861429 400.360920
12 7168.0 686.754468 395.475867 386.154893
13 7680.0 682.666656 392.587863 386.415087
14 8192.0 642.509816 387.786968 368.179771
15 8704.0 630.153861 387.922008 378.434774
16 9216.0 609.322328 407.337026 383.002605
17 9728.0 589.575753 408.524944 383.369452
4 3072.0 712.347810 375.206126 496.484863
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 670.254540 396.387087 421.302872
8 5120.0 694.237267 397.669909 420.102563
9 5632.0 704.000002 396.969169 413.357796
10 6144.0 702.171410 402.885254 409.600010
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 394.116833 387.459443
13 7680.0 682.666656 392.587863 387.634072
14 8192.0 636.271854 391.259714 371.308771
15 8704.0 633.018177 390.095225 380.502740
16 9216.0 611.850618 403.989025 381.023249
17 9728.0 591.817503 408.524944 382.427505
18 10240.0 566.920437 409.600010 382.803739
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20 11264.0 534.789310 406.826188 374.686074
21 11776.0 523.377770 409.599991 376.831982
22 12288.0 516.031509 413.911572 383.251457
23 12800.0 505.679014 409.599981 376.470582
24 13312.0 494.180982 405.699062 376.976995
25 13824.0 481.882350 412.656711 379.389355
26 14336.0 471.967074 405.975225 372.969090
27 14848.0 461.297068 406.794504 375.304904
28 15360.0 454.269882 406.887417 377.511515
29 15872.0 447.887117 406.974373 376.225175
19 10752.0 551.384634 410.577576 380.601764
20 11264.0 536.380957 403.185684 370.831272
21 11776.0 523.377770 408.711507 377.587162
22 12288.0 517.389457 413.042029 382.505826
23 12800.0 505.679014 410.420828 377.163903
24 13312.0 494.754948 404.927765 376.976995
25 13824.0 482.934503 409.600016 378.092325
26 14336.0 471.967074 403.121247 373.576536
27 14848.0 461.297068 406.099164 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.098578 408.282944 376.783377
</pre></div>
</div>
<div class="line-block">
@@ -537,7 +537,7 @@ to download the full example code</p>
<span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 22.534 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.882 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.py</span></code></a></p>

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@@ -174,7 +174,7 @@
<div class="section" id="computation-times">
<span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline"></a></h1>
<p><strong>16:24.265</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>16:35.469</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -183,23 +183,23 @@
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<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
<td><p>06:02.032</p></td>
<td><p>06:06.178</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
<td><p>05:22.534</p></td>
<td><p>05:24.882</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
<td><p>03:21.149</p></td>
<td><p>03:23.140</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
<td><p>01:38.076</p></td>
<td><p>01:40.793</p></td>
<td><p>0.0 MB</p></td>
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<tr class="row-odd"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
<td><p>00:00.474</p></td>
<td><p>00:00.476</p></td>
<td><p>0.0 MB</p></td>
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