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Philippe Tillet
2021-08-29 00:13:37 +00:00
parent dc674ef7b7
commit b1b7ce3178
17 changed files with 99 additions and 99 deletions
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12
getting-started/tutorials/01-vector-add.html
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@@ -319,25 +319,25 @@ for different problem sizes.</p>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
size Triton Torch
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2 16384.0 31.999999 38.400001
3 32768.0 63.999998 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 702.171410
9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 843.811163 842.004273
14 67108864.0 848.362445 848.362445
13 33554432.0 843.811163 843.811163
14 67108864.0 849.278610 848.362445
15 134217728.0 851.577704 850.656574
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
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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>

20
getting-started/tutorials/02-fused-softmax.html
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@@ -386,16 +386,16 @@ We will then compare its performance against (1) <code class="code docutils lite
<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 186.181817
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 585.142849 154.566038
3 640.0 660.645170 640.000002 160.000000
4 768.0 702.171410 664.216187 162.754967
1 384.0 585.142862 585.142862 153.600004
2 512.0 630.153853 606.814814 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 405.755985 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 411.722274 198.854847
96 12544.0 810.925276 412.971190 199.111113
97 12672.0 809.389265 412.097543 199.264875
93 12160.0 812.359066 406.179533 198.834951
94 12288.0 812.429770 415.661740 199.096718
95 12416.0 810.840807 412.149375 198.755369
96 12544.0 809.290334 412.971190 199.012395
97 12672.0 811.007961 412.097543 199.069228
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@@ -408,7 +408,7 @@ We will then compare its performance against (1) <code class="code docutils lite
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
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58
getting-started/tutorials/03-matrix-multiplication.html
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@@ -566,42 +566,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
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2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 39.025776 37.971025
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6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 46.656000 46.656000
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.109587
9 1408.0 64.138541 ... 64.902096 57.387114
10 1536.0 77.778988 ... 75.296679 75.296679
11 1664.0 62.929456 ... 62.492442 62.492442
12 1792.0 72.983276 ... 69.810085 69.810085
13 1920.0 69.467336 ... 69.467336 69.467336
14 2048.0 73.584279 ... 74.898285 74.565406
15 2176.0 83.155572 ... 80.494588 77.697485
16 2304.0 68.446623 ... 73.275679 73.051599
17 2432.0 70.945618 ... 80.041209 81.433227
18 2560.0 77.649287 ... 76.560748 75.851852
19 2688.0 83.004501 ... 82.823267 81.576466
20 2816.0 84.360174 ... 78.584162 80.026067
21 2944.0 83.060049 ... 78.112900 77.385141
22 3072.0 78.534123 ... 83.638266 83.269271
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24 3328.0 82.275764 ... 85.602017 86.736504
25 3456.0 80.380430 ... 85.223646 80.945348
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29 3968.0 86.116179 ... 81.621363 87.222259
30 4096.0 93.206754 ... 83.313299 90.260743
9 1408.0 64.138541 ... 64.902096 64.902096
10 1536.0 80.430545 ... 76.106321 76.106321
11 1664.0 63.372618 ... 62.492442 62.061463
12 1792.0 72.983276 ... 69.379162 69.379162
13 1920.0 69.120002 ... 70.172588 70.172588
14 2048.0 73.908442 ... 75.234154 68.487170
15 2176.0 82.813365 ... 81.143743 80.173899
16 2304.0 68.446623 ... 73.728002 73.501144
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18 2560.0 77.649287 ... 77.465723 76.382283
19 2688.0 80.880718 ... 82.106182 80.708630
20 2816.0 82.602666 ... 80.320825 80.173175
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23 3200.0 79.601989 ... 84.768213 88.642656
24 3328.0 82.939284 ... 87.368079 82.181847
25 3456.0 80.300370 ... 84.775569 85.676480
26 3584.0 84.905939 ... 94.947616 94.947616
27 3712.0 84.230479 ... 89.755028 89.513749
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29 3968.0 88.295175 ... 87.787005 87.850207
30 4096.0 93.336389 ... 83.313299 90.748973
[31 rows x 5 columns]
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.868 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 15.728 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
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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>03:35.670</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>03:39.371</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -183,15 +183,15 @@
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<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>02:11.868</p></td>
<td><p>02:15.728</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>01:12.673</p></td>
<td><p>01:12.674</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>00:11.129</p></td>
<td><p>00:10.969</p></td>
<td><p>0.0 MB</p></td>
</tr>
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