[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2021-09-07 00:13:40 +00:00
parent 44e1f5bfaa
commit 1bfcc182af
19 changed files with 85 additions and 85 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 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: 37 KiB

After

Width:  |  Height:  |  Size: 37 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: 55 KiB

After

Width:  |  Height:  |  Size: 55 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 32 KiB

After

Width:  |  Height:  |  Size: 32 KiB

View File

@@ -231,7 +231,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
vector-add-performance:
size Triton Torch
0 4096.0 8.000000 9.600000
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
@@ -240,13 +240,13 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 702.171410 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
13 33554432.0 843.811163 843.811163
14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574
15 134217728.0 851.116890 850.656574
@@ -254,7 +254,7 @@ 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 10.996 seconds)
**Total running time of the script:** ( 0 minutes 10.964 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -302,15 +302,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 153.600004
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
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 415.222812 199.298541
95 12416.0 810.840807 411.722274 198.954424
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 412.149375 198.755369
96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.264875
97 12672.0 811.007961 412.097543 199.167004
[98 rows x 4 columns]
@@ -328,7 +328,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 1 minutes 12.586 seconds)
**Total running time of the script:** ( 1 minutes 12.596 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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 ... 7.899428 7.899428
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
5 896.0 37.971025 ... 40.140799 39.025776
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 56.109587
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 63.392744 62.664092
10 1536.0 80.430545 ... 76.106321 75.296679
11 1664.0 63.372618 ... 62.061463 62.061463
10 1536.0 79.526831 ... 75.296679 76.106321
11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.983276 ... 62.441243 62.441243
13 1920.0 68.098521 ... 70.172588 69.818184
14 2048.0 73.584279 ... 74.235468 67.932543
15 2176.0 82.813365 ... 79.855747 79.540109
16 2304.0 68.643310 ... 73.501144 73.275679
17 2432.0 71.305746 ... 72.037087 81.908060
18 2560.0 77.833728 ... 76.560748 76.560748
19 2688.0 80.880718 ... 81.752274 83.552988
20 2816.0 81.981598 ... 79.298560 78.442822
21 2944.0 81.564701 ... 77.505492 77.265163
22 3072.0 81.355034 ... 82.782312 82.903517
23 3200.0 81.321474 ... 85.906037 87.671229
24 3328.0 82.748617 ... 81.994643 82.275764
25 3456.0 81.683457 ... 81.932484 84.244062
26 3584.0 87.211821 ... 87.722333 91.284657
27 3712.0 85.675250 ... 82.017526 86.267139
28 3840.0 84.485870 ... 86.738820 86.602979
29 3968.0 92.864488 ... 87.284643 87.159957
30 4096.0 93.531519 ... 88.885914 88.827088
13 1920.0 69.120002 ... 68.776119 68.776119
14 2048.0 73.584279 ... 74.235468 74.565406
15 2176.0 83.155572 ... 80.173899 81.143743
16 2304.0 68.056616 ... 73.275679 73.275679
17 2432.0 71.125224 ... 72.037087 82.630777
18 2560.0 78.019048 ... 76.560748 76.027843
19 2688.0 84.108772 ... 81.752274 81.401408
20 2816.0 83.552120 ... 78.726003 79.298560
21 2944.0 80.510553 ... 78.112900 75.853930
22 3072.0 81.825298 ... 83.146995 81.589488
23 3200.0 84.768213 ... 86.253369 90.014065
24 3328.0 83.226931 ... 81.622783 86.632127
25 3456.0 81.600781 ... 83.980802 84.068369
26 3584.0 87.211821 ... 85.797134 85.308722
27 3712.0 85.822459 ... 79.472826 78.721311
28 3840.0 83.465663 ... 86.197974 86.265212
29 3968.0 93.219206 ... 86.849777 87.222259
30 4096.0 93.206754 ... 89.958266 89.777746
[31 rows x 5 columns]
@@ -502,7 +502,7 @@ 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 13.178 seconds)
**Total running time of the script:** ( 2 minutes 5.162 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -238,7 +238,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.189 seconds)
**Total running time of the script:** ( 0 minutes 0.187 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

View File

@@ -5,14 +5,14 @@
Computation times
=================
**03:36.949** total execution time for **getting-started_tutorials** files:
**03:28.909** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:13.178 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:05.162 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.586 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.596 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.996 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.964 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.189 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.187 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -320,7 +320,7 @@ 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
0 4096.0 8.000000 9.600000
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
@@ -329,16 +329,16 @@ for different problem sizes.</p>
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 702.171410 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
13 33554432.0 843.811163 843.811163
14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574
15 134217728.0 851.116890 850.656574
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.996 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.964 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

@@ -388,15 +388,15 @@ We will then compare its performance against (1) <code class="code docutils lite
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 153.600004
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
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 415.222812 199.298541
95 12416.0 810.840807 411.722274 198.954424
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 412.149375 198.755369
96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.264875
97 12672.0 811.007961 412.097543 199.167004
[98 rows x 4 columns]
</pre></div>
@@ -409,7 +409,7 @@ 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> ( 1 minutes 12.586 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.596 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

@@ -567,42 +567,42 @@ 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 ... 7.899428 7.899428
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
5 896.0 37.971025 ... 40.140799 39.025776
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 56.109587
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 63.392744 62.664092
10 1536.0 80.430545 ... 76.106321 75.296679
11 1664.0 63.372618 ... 62.061463 62.061463
10 1536.0 79.526831 ... 75.296679 76.106321
11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.983276 ... 62.441243 62.441243
13 1920.0 68.098521 ... 70.172588 69.818184
14 2048.0 73.584279 ... 74.235468 67.932543
15 2176.0 82.813365 ... 79.855747 79.540109
16 2304.0 68.643310 ... 73.501144 73.275679
17 2432.0 71.305746 ... 72.037087 81.908060
18 2560.0 77.833728 ... 76.560748 76.560748
19 2688.0 80.880718 ... 81.752274 83.552988
20 2816.0 81.981598 ... 79.298560 78.442822
21 2944.0 81.564701 ... 77.505492 77.265163
22 3072.0 81.355034 ... 82.782312 82.903517
23 3200.0 81.321474 ... 85.906037 87.671229
24 3328.0 82.748617 ... 81.994643 82.275764
25 3456.0 81.683457 ... 81.932484 84.244062
26 3584.0 87.211821 ... 87.722333 91.284657
27 3712.0 85.675250 ... 82.017526 86.267139
28 3840.0 84.485870 ... 86.738820 86.602979
29 3968.0 92.864488 ... 87.284643 87.159957
30 4096.0 93.531519 ... 88.885914 88.827088
13 1920.0 69.120002 ... 68.776119 68.776119
14 2048.0 73.584279 ... 74.235468 74.565406
15 2176.0 83.155572 ... 80.173899 81.143743
16 2304.0 68.056616 ... 73.275679 73.275679
17 2432.0 71.125224 ... 72.037087 82.630777
18 2560.0 78.019048 ... 76.560748 76.027843
19 2688.0 84.108772 ... 81.752274 81.401408
20 2816.0 83.552120 ... 78.726003 79.298560
21 2944.0 80.510553 ... 78.112900 75.853930
22 3072.0 81.825298 ... 83.146995 81.589488
23 3200.0 84.768213 ... 86.253369 90.014065
24 3328.0 83.226931 ... 81.622783 86.632127
25 3456.0 81.600781 ... 83.980802 84.068369
26 3584.0 87.211821 ... 85.797134 85.308722
27 3712.0 85.822459 ... 79.472826 78.721311
28 3840.0 83.465663 ... 86.197974 86.265212
29 3968.0 93.219206 ... 86.849777 87.222259
30 4096.0 93.206754 ... 89.958266 89.777746
[31 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 13.178 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 5.162 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

@@ -370,7 +370,7 @@ 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 0.189 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.187 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>

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>03:36.949</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>03:28.909</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>02:13.178</p></td>
<td><p>02:05.162</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>01:12.586</p></td>
<td><p>01:12.596</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>00:10.996</p></td>
<td><p>00:10.964</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><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>00:00.189</p></td>
<td><p>00:00.187</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>

File diff suppressed because one or more lines are too long