[GH-PAGES] Updated website
This commit is contained in:
@@ -324,22 +324,22 @@ for different problem sizes.</p>
|
||||
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
|
||||
3 32768.0 76.800002 63.999998
|
||||
4 65536.0 127.999995 127.999995
|
||||
5 131072.0 219.428568 219.428568
|
||||
6 262144.0 341.333321 384.000001
|
||||
6 262144.0 341.333321 341.333321
|
||||
7 524288.0 472.615390 472.615390
|
||||
8 1048576.0 614.400016 614.400016
|
||||
9 2097152.0 722.823517 702.171410
|
||||
10 4194304.0 780.190482 780.190482
|
||||
9 2097152.0 702.171410 702.171410
|
||||
10 4194304.0 780.190482 768.000002
|
||||
11 8388608.0 812.429770 812.429770
|
||||
12 16777216.0 833.084721 833.084721
|
||||
12 16777216.0 833.084721 829.569620
|
||||
13 33554432.0 842.004273 842.004273
|
||||
14 67108864.0 847.448255 848.362445
|
||||
14 67108864.0 847.448255 847.448255
|
||||
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 43.506 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 40.439 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>
|
||||
|
@@ -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 190.511628
|
||||
1 384.0 585.142862 585.142862 151.703707
|
||||
2 512.0 655.360017 606.814814 156.038096
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 722.823517 646.736871 163.839992
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 585.142862 558.545450 151.703707
|
||||
2 512.0 655.360017 585.142849 154.566038
|
||||
3 640.0 682.666684 640.000002 158.759699
|
||||
4 768.0 702.171410 646.736871 163.839992
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 405.755985 198.631953
|
||||
94 12288.0 814.111783 415.661740 198.895304
|
||||
95 12416.0 812.498981 412.149375 198.655991
|
||||
96 12544.0 812.566838 412.971190 198.716830
|
||||
97 12672.0 812.633240 412.097543 198.873965
|
||||
93 12160.0 812.359066 405.755985 199.038365
|
||||
94 12288.0 812.429770 415.661740 199.197579
|
||||
95 12416.0 812.498981 411.296057 198.954424
|
||||
96 12544.0 812.566838 412.971190 199.012395
|
||||
97 12672.0 812.633240 412.516771 199.167004
|
||||
|
||||
[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 23.965 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.252 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>
|
||||
|
@@ -570,40 +570,40 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
2 512.0 14.563555 ... 16.384000 15.420235
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
4 768.0 31.597714 ... 34.028308 34.028308
|
||||
5 896.0 37.971025 ... 39.025776 39.025776
|
||||
6 1024.0 49.932191 ... 52.428801 52.428801
|
||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.888887
|
||||
9 1408.0 64.138541 ... 67.305878 65.684049
|
||||
10 1536.0 80.430545 ... 79.526831 78.643199
|
||||
11 1664.0 62.929456 ... 62.492442 62.061463
|
||||
12 1792.0 72.983276 ... 72.047592 71.588687
|
||||
9 1408.0 64.138541 ... 67.305878 67.305878
|
||||
10 1536.0 80.430545 ... 79.526831 79.526831
|
||||
11 1664.0 62.929456 ... 62.061463 61.636381
|
||||
12 1792.0 72.512412 ... 71.588687 71.135597
|
||||
13 1920.0 68.776119 ... 70.172588 70.172588
|
||||
14 2048.0 73.908442 ... 76.959706 76.608294
|
||||
15 2176.0 83.155572 ... 85.998493 85.632545
|
||||
16 2304.0 68.251065 ... 76.563695 76.319081
|
||||
17 2432.0 71.125224 ... 82.147552 83.366361
|
||||
18 2560.0 77.833728 ... 81.310171 80.313727
|
||||
19 2688.0 83.737433 ... 89.254248 89.676257
|
||||
20 2816.0 82.916747 ... 83.552120 82.446516
|
||||
21 2944.0 82.102191 ... 82.237674 82.102191
|
||||
22 3072.0 82.661468 ... 88.060814 88.335577
|
||||
23 3200.0 84.544253 ... 95.380032 94.814812
|
||||
24 3328.0 82.939284 ... 84.298943 84.496824
|
||||
25 3456.0 80.061141 ... 81.353753 81.192449
|
||||
26 3584.0 87.296493 ... 97.205829 96.943817
|
||||
27 3712.0 80.692524 ... 86.867254 82.118659
|
||||
28 3840.0 80.197243 ... 89.043476 91.322872
|
||||
29 3968.0 85.993854 ... 91.609561 83.922926
|
||||
30 4096.0 93.760204 ... 90.443212 87.267706
|
||||
14 2048.0 73.584279 ... 76.959706 76.608294
|
||||
15 2176.0 83.155572 ... 85.998493 85.269692
|
||||
16 2304.0 68.446623 ... 76.563695 76.319081
|
||||
17 2432.0 71.125224 ... 79.587714 84.621881
|
||||
18 2560.0 77.649287 ... 81.310171 80.117359
|
||||
19 2688.0 83.552988 ... 89.254248 88.836198
|
||||
20 2816.0 80.617762 ... 82.135981 82.916747
|
||||
21 2944.0 81.832567 ... 82.921853 82.646820
|
||||
22 3072.0 82.420822 ... 83.886078 88.197981
|
||||
23 3200.0 85.106381 ... 95.238096 94.674553
|
||||
24 3328.0 83.516586 ... 83.082856 84.496824
|
||||
25 3456.0 82.519518 ... 88.595129 90.281712
|
||||
26 3584.0 87.127323 ... 92.600816 97.628001
|
||||
27 3712.0 85.528545 ... 86.044224 87.322855
|
||||
28 3840.0 82.716526 ... 85.267542 91.625518
|
||||
29 3968.0 86.053553 ... 91.816356 83.863449
|
||||
30 4096.0 94.254021 ... 86.258181 85.325956
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 1.444 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 17.603 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>
|
||||
|
@@ -371,7 +371,7 @@ 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>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.114 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.011 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<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>
|
||||
|
@@ -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 1024.0 307.200008 99.497980 315.076934
|
||||
1 1536.0 351.085717 134.050910 344.523365
|
||||
2 2048.0 427.408686 159.067963 332.108094
|
||||
3 2560.0 458.507457 182.857144 330.322572
|
||||
4 3072.0 519.211251 191.501303 316.429186
|
||||
5 3584.0 551.384634 207.768111 310.527060
|
||||
6 4096.0 568.231237 220.907859 298.796351
|
||||
7 4608.0 498.162157 232.336141 289.507855
|
||||
8 5120.0 529.655159 243.326731 289.811322
|
||||
9 5632.0 540.671974 244.426754 291.310338
|
||||
10 6144.0 550.208948 251.202731 287.438593
|
||||
11 6656.0 534.260858 256.000009 286.279570
|
||||
12 7168.0 516.612607 253.734520 277.919225
|
||||
13 7680.0 488.912481 266.743841 280.547947
|
||||
14 8192.0 463.698115 258.354805 278.481578
|
||||
15 8704.0 416.958106 267.472468 285.377055
|
||||
16 9216.0 430.319054 272.394084 290.267724
|
||||
17 9728.0 437.213490 280.278512 288.950501
|
||||
18 10240.0 446.836366 287.102804 290.153487
|
||||
19 10752.0 430.079980 246.464170 289.941565
|
||||
20 11264.0 430.471331 245.536784 286.069848
|
||||
21 11776.0 421.198220 249.007923 288.686414
|
||||
22 12288.0 418.314886 254.453844 294.323369
|
||||
23 12800.0 414.574901 253.465340 289.538159
|
||||
24 13312.0 412.775186 252.559690 289.129403
|
||||
25 13824.0 404.604870 256.792581 291.799461
|
||||
26 14336.0 395.930964 256.190622 289.129416
|
||||
27 14848.0 386.918555 257.479779 289.012175
|
||||
28 15360.0 376.547496 258.332158 287.326580
|
||||
29 15872.0 369.116300 261.626369 290.784741
|
||||
0 1024.0 307.200008 96.000000 303.407414
|
||||
1 1536.0 351.085717 134.050910 341.333333
|
||||
2 2048.0 420.102553 162.217818 323.368435
|
||||
3 2560.0 461.954908 183.402991 328.556154
|
||||
4 3072.0 515.580429 191.999993 317.793096
|
||||
5 3584.0 551.384634 207.768111 311.652167
|
||||
6 4096.0 561.737163 219.919464 301.546004
|
||||
7 4608.0 498.162157 231.849059 287.251954
|
||||
8 5120.0 527.381977 242.845844 285.104413
|
||||
9 5632.0 540.671974 243.107920 289.438969
|
||||
10 6144.0 544.118087 249.081070 284.664100
|
||||
11 6656.0 527.207907 255.590406 284.748652
|
||||
12 7168.0 507.469040 261.050071 286.719986
|
||||
13 7680.0 479.999983 262.564106 278.429013
|
||||
14 8192.0 457.227922 268.590169 280.868581
|
||||
15 8704.0 415.300208 268.159180 284.987724
|
||||
16 9216.0 430.319054 273.742580 290.649156
|
||||
17 9728.0 436.396262 280.953074 289.308559
|
||||
18 10240.0 445.217381 286.767793 290.153487
|
||||
19 10752.0 427.231788 246.699797 289.616170
|
||||
20 11264.0 433.926144 246.432094 286.828642
|
||||
21 11776.0 423.089806 249.227509 289.277383
|
||||
22 12288.0 421.302872 253.143343 294.911986
|
||||
23 12800.0 415.135142 253.674644 289.538159
|
||||
24 13312.0 413.309181 252.559690 288.867982
|
||||
25 13824.0 404.112047 256.593977 290.776523
|
||||
26 14336.0 399.609766 252.431398 286.004996
|
||||
27 14848.0 382.762626 256.184041 288.544136
|
||||
28 15360.0 376.547496 260.707203 289.356349
|
||||
29 15872.0 369.474279 261.986243 290.120338
|
||||
</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">'.'</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 13.521 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.465 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>
|
||||
|
@@ -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>13:22.551</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:31.769</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 @@
|
||||
</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>06:01.444</p></td>
|
||||
<td><p>05:17.603</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>03:23.965</p></td>
|
||||
<td><p>03:22.252</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>02:13.521</p></td>
|
||||
<td><p>02:11.465</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>01:43.506</p></td>
|
||||
<td><p>01:40.439</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>
|
||||
<td><p>00:00.114</p></td>
|
||||
<td><p>00:00.011</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|
Reference in New Issue
Block a user