[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2021-09-23 00:23:39 +00:00
parent 1bdd1b4822
commit 13fe823b9b
19 changed files with 81 additions and 81 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 25 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 16 KiB

After

Width:  |  Height:  |  Size: 16 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 37 KiB

After

Width:  |  Height:  |  Size: 38 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: 58 KiB

After

Width:  |  Height:  |  Size: 56 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 33 KiB

After

Width:  |  Height:  |  Size: 33 KiB

View File

@@ -244,7 +244,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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 843.811163
13 33554432.0 842.004273 842.004273
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 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:** ( 1 minutes 54.033 seconds)
**Total running time of the script:** ( 1 minutes 57.155 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -287,16 +287,16 @@ 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 186.181817
1 384.0 585.142862 585.142862 153.600004
2 512.0 630.153853 606.814814 154.566038
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992
4 768.0 702.171410 664.216187 162.754967
.. ... ... ... ...
93 12160.0 810.666687 406.179533 199.038365
94 12288.0 810.754644 415.881552 199.298541
95 12416.0 809.189387 412.149375 198.904612
96 12544.0 807.661970 412.971190 199.111113
97 12672.0 806.170993 412.097543 199.264875
93 12160.0 810.666687 405.755985 198.834951
94 12288.0 812.429770 415.222812 199.096718
95 12416.0 809.189387 411.296057 198.655991
96 12544.0 807.661970 412.971190 199.012395
97 12672.0 807.776923 412.097543 199.069228
[98 rows x 4 columns]
@@ -314,7 +314,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 3 minutes 30.656 seconds)
**Total running time of the script:** ( 3 minutes 31.704 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 2.978909 ... 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 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 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 46.656000 45.938215
8 1280.0 51.200001 ... 56.109587 56.109587
9 1408.0 64.138541 ... 66.485074 65.684049
10 1536.0 80.430545 ... 78.643199 78.643199
11 1664.0 63.372618 ... 62.929456 62.061463
12 1792.0 72.983276 ... 72.512412 72.047592
13 1920.0 69.120002 ... 70.172588 70.530615
14 2048.0 73.908442 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.632545 85.269692
16 2304.0 68.251065 ... 77.307030 76.076024
17 2432.0 71.125224 ... 84.115159 84.621881
18 2560.0 78.019048 ... 81.108913 80.908642
19 2688.0 83.369354 ... 89.254248 88.011732
20 2816.0 81.218262 ... 83.873477 82.759409
21 2944.0 82.921853 ... 82.102191 82.237674
22 3072.0 81.238312 ... 88.060814 87.924073
23 3200.0 84.656085 ... 95.380032 95.522391
24 3328.0 82.939284 ... 84.003845 84.003845
25 3456.0 79.430113 ... 91.097818 87.536988
26 3584.0 86.540320 ... 94.747514 96.579370
27 3712.0 85.675250 ... 88.092894 87.629253
28 3840.0 83.465663 ... 84.354966 91.398346
29 3968.0 86.053553 ... 91.062642 86.849777
30 4096.0 93.142072 ... 83.468735 82.342167
11 1664.0 62.929456 ... 62.492442 61.636381
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.530615 70.530615
14 2048.0 73.908442 ... 76.959706 76.608294
15 2176.0 83.500614 ... 86.367588 85.998493
16 2304.0 68.446623 ... 77.307030 76.563695
17 2432.0 71.305746 ... 85.653855 85.393507
18 2560.0 78.019048 ... 81.512437 80.908642
19 2688.0 83.737433 ... 89.464755 89.888756
20 2816.0 83.873477 ... 83.712490 83.712490
21 2944.0 83.060049 ... 82.373605 82.921853
22 3072.0 80.430545 ... 88.890270 88.335577
23 3200.0 84.210524 ... 95.522391 94.395283
24 3328.0 84.101981 ... 84.695641 85.045833
25 3456.0 82.688790 ... 88.595129 89.281913
26 3584.0 87.381330 ... 99.134944 92.410473
27 3712.0 85.019017 ... 83.213118 88.640059
28 3840.0 81.677994 ... 86.197974 91.172297
29 3968.0 86.053553 ... 91.403695 84.974886
30 4096.0 93.401342 ... 91.428970 86.313653
[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:** ( 6 minutes 33.543 seconds)
**Total running time of the script:** ( 6 minutes 18.778 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 0.365 seconds)
**Total running time of the script:** ( 0 minutes 0.426 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

View File

@@ -5,14 +5,14 @@
Computation times
=================
**11:58.596** total execution time for **getting-started_tutorials** files:
**11:48.062** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:33.543 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:18.778 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.656 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.704 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:54.033 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:57.155 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.365 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.426 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -333,12 +333,12 @@ for different problem sizes.</p>
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 843.811163
13 33554432.0 842.004273 842.004273
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 54.033 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 57.155 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

@@ -374,16 +374,16 @@ 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 153.600004
2 512.0 630.153853 606.814814 154.566038
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992
4 768.0 702.171410 664.216187 162.754967
.. ... ... ... ...
93 12160.0 810.666687 406.179533 199.038365
94 12288.0 810.754644 415.881552 199.298541
95 12416.0 809.189387 412.149375 198.904612
96 12544.0 807.661970 412.971190 199.111113
97 12672.0 806.170993 412.097543 199.264875
93 12160.0 810.666687 405.755985 198.834951
94 12288.0 812.429770 415.222812 199.096718
95 12416.0 809.189387 411.296057 198.655991
96 12544.0 807.661970 412.971190 199.012395
97 12672.0 807.776923 412.097543 199.069228
[98 rows x 4 columns]
</pre></div>
@@ -396,7 +396,7 @@ 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 30.656 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 31.704 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 2.978909 ... 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 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 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 46.656000 45.938215
8 1280.0 51.200001 ... 56.109587 56.109587
9 1408.0 64.138541 ... 66.485074 65.684049
10 1536.0 80.430545 ... 78.643199 78.643199
11 1664.0 63.372618 ... 62.929456 62.061463
12 1792.0 72.983276 ... 72.512412 72.047592
13 1920.0 69.120002 ... 70.172588 70.530615
14 2048.0 73.908442 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.632545 85.269692
16 2304.0 68.251065 ... 77.307030 76.076024
17 2432.0 71.125224 ... 84.115159 84.621881
18 2560.0 78.019048 ... 81.108913 80.908642
19 2688.0 83.369354 ... 89.254248 88.011732
20 2816.0 81.218262 ... 83.873477 82.759409
21 2944.0 82.921853 ... 82.102191 82.237674
22 3072.0 81.238312 ... 88.060814 87.924073
23 3200.0 84.656085 ... 95.380032 95.522391
24 3328.0 82.939284 ... 84.003845 84.003845
25 3456.0 79.430113 ... 91.097818 87.536988
26 3584.0 86.540320 ... 94.747514 96.579370
27 3712.0 85.675250 ... 88.092894 87.629253
28 3840.0 83.465663 ... 84.354966 91.398346
29 3968.0 86.053553 ... 91.062642 86.849777
30 4096.0 93.142072 ... 83.468735 82.342167
11 1664.0 62.929456 ... 62.492442 61.636381
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.530615 70.530615
14 2048.0 73.908442 ... 76.959706 76.608294
15 2176.0 83.500614 ... 86.367588 85.998493
16 2304.0 68.446623 ... 77.307030 76.563695
17 2432.0 71.305746 ... 85.653855 85.393507
18 2560.0 78.019048 ... 81.512437 80.908642
19 2688.0 83.737433 ... 89.464755 89.888756
20 2816.0 83.873477 ... 83.712490 83.712490
21 2944.0 83.060049 ... 82.373605 82.921853
22 3072.0 80.430545 ... 88.890270 88.335577
23 3200.0 84.210524 ... 95.522391 94.395283
24 3328.0 84.101981 ... 84.695641 85.045833
25 3456.0 82.688790 ... 88.595129 89.281913
26 3584.0 87.381330 ... 99.134944 92.410473
27 3712.0 85.019017 ... 83.213118 88.640059
28 3840.0 81.677994 ... 86.197974 91.172297
29 3968.0 86.053553 ... 91.403695 84.974886
30 4096.0 93.401342 ... 91.428970 86.313653
[31 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 33.543 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 18.778 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 0.365 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.426 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>11:58.596</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>11:48.062</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>06:33.543</p></td>
<td><p>06:18.778</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>03:30.656</p></td>
<td><p>03:31.704</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>01:54.033</p></td>
<td><p>01:57.155</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>00:00.365</p></td>
<td><p>00:00.426</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>

File diff suppressed because one or more lines are too long