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Philippe Tillet
2021-07-28 11:39:54 +00:00
parent 040ec5e252
commit a86020efbc
17 changed files with 83 additions and 83 deletions
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10
getting-started/tutorials/01-vector-add.html
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@@ -305,13 +305,13 @@ for different problem sizes.</p>
<p class="sphx-glr-script-out">Out:</p>
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4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 341.333321 341.333321
6 262144.0 384.000001 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
@@ -319,11 +319,11 @@ for different problem sizes.</p>
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 843.811163 843.811163
14 67108864.0 849.278610 848.362445
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<p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.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">01-vector-add.py</span></code></a></p>

12
getting-started/tutorials/02-fused-softmax.html
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@@ -346,15 +346,15 @@ We will then compare its performance against (1) <code class="code docutils lite
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0 256.0 512.000001 546.133347 273.066674
1 384.0 585.142862 585.142862 261.446801
2 512.0 630.153853 585.142849 264.258068
3 640.0 682.666684 640.000002 265.974036
4 768.0 702.171410 664.216187 273.066663
.. ... ... ... ...
93 12160.0 812.359066 406.179533 329.483481
93 12160.0 812.359066 405.755985 329.204728
94 12288.0 812.429770 415.661740 329.602681
95 12416.0 810.840807 412.149375 328.900662
95 12416.0 810.840807 411.722274 329.173158
96 12544.0 810.925276 412.971190 329.292871
97 12672.0 811.007961 412.097543 329.142870
@@ -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>
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52
getting-started/tutorials/03-matrix-multiplication.html
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@@ -476,42 +476,42 @@ tensor(True, device=&#39;cuda:0&#39;)
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6 896.0 39.025776 ... 39.025776 37.971025
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7 1024.0 49.932191 ... 52.428801 52.428801
8 1152.0 45.242181 ... 46.656000 46.656000
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10 1408.0 64.138541 ... 65.684049 65.684049
11 1536.0 80.430545 ... 76.106321 75.296679
12 1664.0 63.372618 ... 61.636381 61.636381
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11 1536.0 78.643199 ... 75.296679 75.296679
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13 1792.0 72.983276 ... 68.953520 68.533074
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17 2304.0 68.446623 ... 72.607513 72.387489
18 2432.0 71.125224 ... 81.197876 80.041209
19 2560.0 77.833728 ... 74.983980 75.328737
20 2688.0 80.880718 ... 78.862903 82.642823
21 2816.0 83.392363 ... 78.726003 77.056904
22 2944.0 83.060049 ... 79.356738 79.610276
23 3072.0 78.643199 ... 82.540970 83.269271
24 3200.0 83.116885 ... 88.888888 87.431696
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 12.186 seconds)</p>
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8
getting-started/tutorials/sg_execution_times.html
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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>03:27.823</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>03:31.335</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
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<col style="width: 85%" />
@@ -183,15 +183,15 @@
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<td><p>02:12.186</p></td>
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<td><p>01:08.191</p></td>
<td><p>01:08.185</p></td>
<td><p>0.0 MB</p></td>
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<tr class="row-odd"><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>00:10.980</p></td>
<td><p>00:10.964</p></td>
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