[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2021-07-31 05:42:19 +00:00
parent 551f68c481
commit df9dd891c9
17 changed files with 79 additions and 79 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 25 KiB

After

Width:  |  Height:  |  Size: 24 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 15 KiB

After

Width:  |  Height:  |  Size: 15 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 39 KiB

After

Width:  |  Height:  |  Size: 39 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 54 KiB

After

Width:  |  Height:  |  Size: 55 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 31 KiB

After

Width:  |  Height:  |  Size: 32 KiB

View File

@@ -219,10 +219,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 9.540372 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 63.999998 63.999998
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 384.000001 384.000001
6 262144.0 341.333321 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
@@ -230,7 +230,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the 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
14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574
@@ -239,7 +239,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 11.115 seconds)
**Total running time of the script:** ( 0 minutes 10.987 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -262,15 +262,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 273.066674
1 384.0 585.142862 585.142862 267.130429
2 512.0 630.153853 606.814814 264.258068
1 384.0 585.142862 585.142862 261.446801
2 512.0 655.360017 585.142849 264.258068
3 640.0 682.666684 640.000002 269.473696
4 768.0 702.171410 664.216187 273.066663
.. ... ... ... ...
93 12160.0 812.359066 405.755985 329.483481
93 12160.0 812.359066 406.179533 329.204728
94 12288.0 812.429770 415.222812 329.602681
95 12416.0 810.840807 412.149375 329.173158
96 12544.0 810.925276 412.971190 329.292871
95 12416.0 810.840807 412.149375 328.900662
96 12544.0 810.925276 412.546756 329.292871
97 12672.0 811.007961 412.097543 329.142870
[98 rows x 4 columns]
@@ -290,7 +290,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 1 minutes 8.181 seconds)
**Total running time of the script:** ( 1 minutes 8.170 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -371,37 +371,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 2.978909 2.978909
1 256.0 2.730667 ... 3.276800 2.978909
2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 16.384000 15.420235
4 640.0 22.260869 ... 24.380953 24.380953
5 768.0 32.768000 ... 34.028308 34.028308
6 896.0 37.971025 ... 39.025776 37.971025
7 1024.0 51.150050 ... 52.428801 52.428801
8 1152.0 45.242181 ... 46.656000 46.656000
7 1024.0 49.932191 ... 52.428801 52.428801
8 1152.0 44.566925 ... 46.656000 45.938215
9 1280.0 51.200001 ... 56.109587 56.109587
10 1408.0 64.138541 ... 65.684049 58.621246
11 1536.0 79.526831 ... 76.106321 75.296679
10 1408.0 64.138541 ... 65.684049 65.684049
11 1536.0 80.430545 ... 76.106321 76.106321
12 1664.0 63.372618 ... 61.636381 61.636381
13 1792.0 72.983276 ... 69.379162 68.953520
14 1920.0 69.467336 ... 68.435645 69.467336
15 2048.0 73.584279 ... 75.915006 75.234154
16 2176.0 80.817862 ... 78.608000 79.855747
17 2304.0 68.446623 ... 73.051599 72.607513
18 2432.0 71.125224 ... 80.499895 80.499895
19 2560.0 77.833728 ... 76.740048 76.027843
20 2688.0 82.823267 ... 80.027544 82.823267
21 2816.0 84.197315 ... 78.442822 76.785575
22 2944.0 81.698415 ... 79.356738 78.729910
23 3072.0 81.005868 ... 83.761985 81.707223
24 3200.0 84.432717 ... 88.642656 84.321474
25 3328.0 83.130825 ... 81.622783 80.980084
26 3456.0 80.864158 ... 84.864807 80.864158
27 3584.0 87.381330 ... 89.116127 84.988707
28 3712.0 84.230479 ... 85.091436 83.806497
29 3840.0 83.465663 ... 84.809814 86.265212
30 3968.0 92.793868 ... 84.797731 83.807647
31 4096.0 93.466385 ... 91.553703 91.180520
13 1792.0 72.983276 ... 68.533074 68.533074
14 1920.0 68.098521 ... 70.172588 70.172588
15 2048.0 73.908442 ... 75.234154 75.573044
16 2176.0 83.155572 ... 80.173899 79.855747
17 2304.0 68.251065 ... 73.051599 72.828879
18 2432.0 71.125224 ... 81.433227 81.433227
19 2560.0 77.833728 ... 76.920185 75.676673
20 2688.0 83.552988 ... 80.880718 82.823267
21 2816.0 82.446516 ... 78.868366 79.733474
22 2944.0 82.373605 ... 80.251257 79.610276
23 3072.0 77.993256 ... 81.943708 83.514905
24 3200.0 84.210524 ... 89.887639 84.544253
25 3328.0 83.130825 ... 81.346098 82.088138
26 3456.0 80.140726 ... 82.943999 81.600781
27 3584.0 87.296493 ... 95.451583 96.269155
28 3712.0 84.301560 ... 89.194055 89.035062
29 3840.0 85.267542 ... 83.718392 84.292684
30 3968.0 89.921841 ... 87.035620 86.664727
31 4096.0 92.820009 ... 91.366730 91.741443
[32 rows x 5 columns]
@@ -411,7 +411,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 17.256 seconds)
**Total running time of the script:** ( 2 minutes 5.849 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -5,12 +5,12 @@
Computation times
=================
**03:36.552** total execution time for **getting-started_tutorials** files:
**03:25.006** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:17.256 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:05.849 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.181 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.170 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.115 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.987 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -308,10 +308,10 @@ for different problem sizes.</p>
0 4096.0 9.540372 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 63.999998 63.999998
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 384.000001 384.000001
6 262144.0 341.333321 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
14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.115 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.987 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>

View File

@@ -347,15 +347,15 @@ 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 273.066674
1 384.0 585.142862 585.142862 267.130429
2 512.0 630.153853 606.814814 264.258068
1 384.0 585.142862 585.142862 261.446801
2 512.0 655.360017 585.142849 264.258068
3 640.0 682.666684 640.000002 269.473696
4 768.0 702.171410 664.216187 273.066663
.. ... ... ... ...
93 12160.0 812.359066 405.755985 329.483481
93 12160.0 812.359066 406.179533 329.204728
94 12288.0 812.429770 415.222812 329.602681
95 12416.0 810.840807 412.149375 329.173158
96 12544.0 810.925276 412.971190 329.292871
95 12416.0 810.840807 412.149375 328.900662
96 12544.0 810.925276 412.546756 329.292871
97 12672.0 811.007961 412.097543 329.142870
[98 rows x 4 columns]
@@ -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 PyTorchs CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.181 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.170 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>

View File

@@ -476,42 +476,42 @@ tensor(True, device=&#39;cuda:0&#39;)
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 2.978909 2.978909
1 256.0 2.730667 ... 3.276800 2.978909
2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 16.384000 15.420235
4 640.0 22.260869 ... 24.380953 24.380953
5 768.0 32.768000 ... 34.028308 34.028308
6 896.0 37.971025 ... 39.025776 37.971025
7 1024.0 51.150050 ... 52.428801 52.428801
8 1152.0 45.242181 ... 46.656000 46.656000
7 1024.0 49.932191 ... 52.428801 52.428801
8 1152.0 44.566925 ... 46.656000 45.938215
9 1280.0 51.200001 ... 56.109587 56.109587
10 1408.0 64.138541 ... 65.684049 58.621246
11 1536.0 79.526831 ... 76.106321 75.296679
10 1408.0 64.138541 ... 65.684049 65.684049
11 1536.0 80.430545 ... 76.106321 76.106321
12 1664.0 63.372618 ... 61.636381 61.636381
13 1792.0 72.983276 ... 69.379162 68.953520
14 1920.0 69.467336 ... 68.435645 69.467336
15 2048.0 73.584279 ... 75.915006 75.234154
16 2176.0 80.817862 ... 78.608000 79.855747
17 2304.0 68.446623 ... 73.051599 72.607513
18 2432.0 71.125224 ... 80.499895 80.499895
19 2560.0 77.833728 ... 76.740048 76.027843
20 2688.0 82.823267 ... 80.027544 82.823267
21 2816.0 84.197315 ... 78.442822 76.785575
22 2944.0 81.698415 ... 79.356738 78.729910
23 3072.0 81.005868 ... 83.761985 81.707223
24 3200.0 84.432717 ... 88.642656 84.321474
25 3328.0 83.130825 ... 81.622783 80.980084
26 3456.0 80.864158 ... 84.864807 80.864158
27 3584.0 87.381330 ... 89.116127 84.988707
28 3712.0 84.230479 ... 85.091436 83.806497
29 3840.0 83.465663 ... 84.809814 86.265212
30 3968.0 92.793868 ... 84.797731 83.807647
31 4096.0 93.466385 ... 91.553703 91.180520
13 1792.0 72.983276 ... 68.533074 68.533074
14 1920.0 68.098521 ... 70.172588 70.172588
15 2048.0 73.908442 ... 75.234154 75.573044
16 2176.0 83.155572 ... 80.173899 79.855747
17 2304.0 68.251065 ... 73.051599 72.828879
18 2432.0 71.125224 ... 81.433227 81.433227
19 2560.0 77.833728 ... 76.920185 75.676673
20 2688.0 83.552988 ... 80.880718 82.823267
21 2816.0 82.446516 ... 78.868366 79.733474
22 2944.0 82.373605 ... 80.251257 79.610276
23 3072.0 77.993256 ... 81.943708 83.514905
24 3200.0 84.210524 ... 89.887639 84.544253
25 3328.0 83.130825 ... 81.346098 82.088138
26 3456.0 80.140726 ... 82.943999 81.600781
27 3584.0 87.296493 ... 95.451583 96.269155
28 3712.0 84.301560 ... 89.194055 89.035062
29 3840.0 85.267542 ... 83.718392 84.292684
30 3968.0 89.921841 ... 87.035620 86.664727
31 4096.0 92.820009 ... 91.366730 91.741443
[32 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 17.256 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 5.849 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>

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>03:36.552</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>03:25.006</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 @@
</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>02:17.256</p></td>
<td><p>02:05.849</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>01:08.181</p></td>
<td><p>01:08.170</p></td>
<td><p>0.0 MB</p></td>
</tr>
<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>00:11.115</p></td>
<td><p>00:10.987</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>

File diff suppressed because one or more lines are too long