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
2022-09-03 00:48:40 +00:00
parent 6f3b262d6c
commit 540e088822
161 changed files with 254 additions and 254 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
v1.1.2/getting-started/tutorials/01-vector-add.html
View File

@@ -323,23 +323,23 @@ for different problem sizes.</p>
size Triton Torch
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002
2 16384.0 31.999999 38.400001
3 32768.0 63.999998 63.999998
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 341.333321 384.000001
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
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 842.004273 842.004273
13 33554432.0 842.004273 843.811163
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 38.687 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 43.492 seconds)</p>
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
<div class="sphx-glr-download sphx-glr-download-python docutils container">
<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>

18
v1.1.2/getting-started/tutorials/02-fused-softmax.html
View File

@@ -374,17 +374,17 @@ 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 184.089886
1 384.0 614.400016 585.142862 153.600004
0 256.0 512.000001 546.133347 190.511628
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.631953
94 12288.0 814.111783 416.101597 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 812.566838 412.971190 198.815254
97 12672.0 812.633240 412.097543 198.873965
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 814.111783 415.222812 199.197579
95 12416.0 812.498981 411.722274 198.854847
96 12544.0 812.566838 412.546756 198.913776
97 12672.0 812.633240 411.679167 199.069228
[98 rows x 4 columns]
</pre></div>
@@ -397,7 +397,7 @@ 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>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 21.356 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.586 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>

46
v1.1.2/getting-started/tutorials/03-matrix-multiplication.html
View File

@@ -568,42 +568,42 @@ 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 2.730667 ... 2.978909 2.978909
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 15.420235
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 39.025776 ... 40.140799 39.025776
5 896.0 37.971025 ... 39.025776 37.971025
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.109587
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.512412 ... 71.588687 71.588687
13 1920.0 69.120002 ... 70.172588 70.530615
14 2048.0 73.908442 ... 76.959706 76.959706
15 2176.0 83.500614 ... 86.367588 85.632545
16 2304.0 68.251065 ... 76.809875 76.563695
17 2432.0 71.305746 ... 74.719317 84.877538
18 2560.0 78.019048 ... 81.310171 81.108913
19 2688.0 83.369354 ... 89.676257 90.102270
20 2816.0 82.759409 ... 83.233226 83.392363
21 2944.0 82.237674 ... 82.373605 82.102191
22 3072.0 82.661468 ... 89.451983 88.197981
23 3200.0 84.600132 ... 95.665176 94.955488
24 3328.0 83.034941 ... 84.101981 84.496824
25 3456.0 80.140726 ... 82.773682 87.918831
26 3584.0 86.790921 ... 98.483450 90.188780
27 3712.0 83.947349 ... 84.230479 83.040189
28 3840.0 84.744825 ... 92.083268 84.164384
29 3968.0 92.652949 ... 83.865247 90.994735
30 4096.0 86.201047 ... 84.572407 91.741443
12 1792.0 72.512412 ... 72.047592 71.588687
13 1920.0 68.776119 ... 70.172588 70.530615
14 2048.0 73.908442 ... 77.314362 76.959706
15 2176.0 83.155572 ... 86.367588 84.909907
16 2304.0 68.446623 ... 76.809875 76.563695
17 2432.0 71.305746 ... 75.118889 84.877538
18 2560.0 77.833728 ... 81.108913 80.511054
19 2688.0 83.552988 ... 88.628636 89.044730
20 2816.0 82.602666 ... 82.135981 82.759409
21 2944.0 81.832567 ... 79.865439 82.852924
22 3072.0 82.540970 ... 87.651868 89.170242
23 3200.0 83.989503 ... 91.822093 92.352095
24 3328.0 79.812967 ... 83.954863 84.596116
25 3456.0 81.518272 ... 90.790053 91.407671
26 3584.0 86.540320 ... 91.656871 94.847460
27 3712.0 83.947349 ... 88.015279 87.094458
28 3840.0 80.139129 ... 85.136259 91.247522
29 3968.0 85.811488 ... 91.609561 83.633532
30 4096.0 93.596744 ... 92.372834 87.267706
[31 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 29.137 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 27.587 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">
<p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.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">03-matrix-multiplication.py</span></code></a></p>

62
v1.1.2/getting-started/tutorials/05-layer-norm.html
View File

@@ -194,36 +194,36 @@ to download the full example code</p>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
N Triton Torch Apex
0 1024.0 311.088617 99.096776 311.088617
1 1536.0 351.085717 133.083026 338.201833
2 2048.0 423.724127 162.217818 325.509933
3 2560.0 461.954908 182.857144 326.808501
4 3072.0 511.999982 191.501303 317.793096
5 3584.0 554.941930 208.271186 308.301075
6 4096.0 568.231237 220.412561 294.323343
7 4608.0 498.162157 231.849059 291.031570
8 5120.0 525.128191 242.845844 287.102804
9 5632.0 538.517949 243.107920 290.683877
10 6144.0 544.118087 248.661056 285.767458
11 6656.0 527.207907 256.000009 286.793541
12 7168.0 507.469040 261.844750 288.644296
13 7680.0 481.253256 260.707203 277.590365
14 8192.0 460.440290 268.957600 286.600589
15 8704.0 416.958106 267.815384 284.987724
16 9216.0 428.651187 273.066667 289.507855
17 9728.0 438.857162 280.278512 288.950501
18 10240.0 447.650282 286.433562 290.153487
19 10752.0 430.079980 246.464170 290.267711
20 11264.0 429.104745 245.091565 285.767446
21 11776.0 421.826879 249.447482 288.686414
22 12288.0 420.102570 254.453844 294.911986
23 12800.0 415.696898 253.465340 288.180121
24 13312.0 412.242569 252.759501 290.179836
25 13824.0 405.098897 257.190689 292.571423
26 14336.0 397.761846 254.673567 286.481278
27 14848.0 383.999990 257.108233 289.246765
28 15360.0 374.253788 257.610071 286.433562
29 15872.0 366.982663 262.708969 291.229369
0 1024.0 311.088617 97.912354 303.407414
1 1536.0 351.085717 134.050910 341.333333
2 2048.0 423.724127 161.154101 334.367350
3 2560.0 465.454542 180.705883 330.322572
4 3072.0 515.580429 191.999993 323.368415
5 3584.0 551.384634 208.271186 311.652167
6 4096.0 568.231237 220.412561 298.796351
7 4608.0 500.416301 232.336141 287.251954
8 5120.0 525.128191 242.366855 284.444444
9 5632.0 540.671974 243.107920 289.438969
10 6144.0 544.118087 248.661056 286.322318
11 6656.0 528.953642 256.000009 285.767438
12 7168.0 507.469040 259.867079 285.293536
13 7680.0 485.052616 263.314295 280.547947
14 8192.0 460.440290 266.406514 284.115618
15 8704.0 416.127506 267.815384 284.987724
16 9216.0 428.651187 271.391419 287.999990
17 9728.0 437.213490 280.278512 289.667485
18 10240.0 448.467168 286.433562 290.496460
19 10752.0 431.518385 246.699797 290.267711
20 11264.0 430.471331 245.313973 286.980888
21 11776.0 423.089806 249.667843 288.981596
22 12288.0 419.504980 254.673582 294.617366
23 12800.0 414.016170 253.884294 289.811310
24 13312.0 411.181478 252.759501 290.443638
25 13824.0 405.594132 257.190689 292.056329
26 14336.0 394.568805 254.862216 287.198654
27 14848.0 385.245405 257.665934 289.952797
28 15360.0 376.547496 257.970599 287.326580
29 15872.0 368.046389 261.446802 290.341468
</pre></div>
</div>
<div class="line-block">
@@ -477,7 +477,7 @@ 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> ( 2 minutes 12.273 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 12.490 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>

10
v1.1.2/getting-started/tutorials/sg_execution_times.html
View File

@@ -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>12:41.463</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>12:47.166</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -183,19 +183,19 @@
</colgroup>
<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>05:29.137</p></td>
<td><p>05:27.587</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>03:21.356</p></td>
<td><p>03:23.586</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><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>02:12.273</p></td>
<td><p>02:12.490</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>01:38.687</p></td>
<td><p>01:43.492</p></td>
<td><p>0.0 MB</p></td>
</tr>
<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>