[GH-PAGES] Updated website
Before Width: | Height: | Size: 25 KiB After Width: | Height: | Size: 25 KiB |
Before Width: | Height: | Size: 16 KiB After Width: | Height: | Size: 16 KiB |
Before Width: | Height: | Size: 37 KiB After Width: | Height: | Size: 37 KiB |
Before Width: | Height: | Size: 24 KiB After Width: | Height: | Size: 24 KiB |
Before Width: | Height: | Size: 56 KiB After Width: | Height: | Size: 56 KiB |
Before Width: | Height: | Size: 32 KiB After Width: | Height: | Size: 32 KiB |
@@ -240,12 +240,12 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
|
||||
6 262144.0 341.333321 384.000001
|
||||
7 524288.0 472.615390 472.615390
|
||||
8 1048576.0 614.400016 614.400016
|
||||
9 2097152.0 702.171410 722.823517
|
||||
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 843.811163
|
||||
14 67108864.0 849.278610 848.362445
|
||||
14 67108864.0 848.362445 848.362445
|
||||
15 134217728.0 851.577704 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 10.972 seconds)
|
||||
**Total running time of the script:** ( 1 minutes 9.393 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
||||
|
@@ -303,14 +303,14 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
|
||||
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
|
||||
3 640.0 660.645170 640.000002 160.000000
|
||||
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 415.661740 199.298541
|
||||
95 12416.0 810.840807 412.149375 198.954424
|
||||
96 12544.0 810.925276 412.971190 199.209928
|
||||
97 12672.0 811.007961 412.097543 199.264875
|
||||
95 12416.0 810.840807 412.149375 198.854847
|
||||
96 12544.0 810.925276 412.971190 199.111113
|
||||
97 12672.0 811.007961 412.516771 199.264875
|
||||
|
||||
[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 14.917 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
||||
|
@@ -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 ... 3.276800 3.276800
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
0 256.0 2.978909 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 35.389441 34.028308
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 40.140799 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 ... 63.392744 57.368243
|
||||
10 1536.0 79.526831 ... 75.296679 75.296679
|
||||
11 1664.0 62.929456 ... 61.217089 61.636381
|
||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||
13 1920.0 68.776119 ... 70.172588 69.818184
|
||||
14 2048.0 73.584279 ... 74.565406 74.565406
|
||||
15 2176.0 83.155572 ... 80.494588 80.494588
|
||||
16 2304.0 68.251065 ... 73.275679 73.275679
|
||||
17 2432.0 71.125224 ... 70.766913 80.041209
|
||||
18 2560.0 77.649287 ... 76.740048 76.027843
|
||||
19 2688.0 83.922689 ... 80.880718 83.186525
|
||||
20 2816.0 83.552120 ... 78.868366 78.442822
|
||||
21 2944.0 82.102191 ... 77.385141 77.990663
|
||||
22 3072.0 79.415291 ... 81.238312 83.146995
|
||||
23 3200.0 84.321474 ... 89.012517 89.761569
|
||||
24 3328.0 83.226931 ... 85.500351 87.051143
|
||||
25 3456.0 78.655188 ... 80.300370 83.632331
|
||||
26 3584.0 85.879071 ... 91.470385 93.661869
|
||||
27 3712.0 85.822459 ... 84.802499 88.876645
|
||||
28 3840.0 85.136259 ... 87.424508 88.121115
|
||||
29 3968.0 92.864488 ... 87.284643 87.597943
|
||||
30 4096.0 93.466385 ... 90.504200 89.898012
|
||||
7 1152.0 44.566925 ... 46.656000 45.938215
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
||||
10 1536.0 80.430545 ... 76.106321 76.106321
|
||||
11 1664.0 63.372618 ... 62.061463 62.061463
|
||||
12 1792.0 72.983276 ... 62.790080 62.441243
|
||||
13 1920.0 69.467336 ... 67.434145 70.172588
|
||||
14 2048.0 73.908442 ... 74.565406 74.565406
|
||||
15 2176.0 81.143743 ... 80.494588 80.817862
|
||||
16 2304.0 68.056616 ... 73.728002 73.501144
|
||||
17 2432.0 71.305746 ... 80.499895 80.269900
|
||||
18 2560.0 78.019048 ... 77.465723 77.283019
|
||||
19 2688.0 83.004501 ... 83.737433 84.483418
|
||||
20 2816.0 81.521884 ... 78.301990 80.767055
|
||||
21 2944.0 82.102191 ... 77.626218 71.194334
|
||||
22 3072.0 82.540970 ... 83.025078 83.269271
|
||||
23 3200.0 84.656085 ... 90.651555 84.993363
|
||||
24 3328.0 83.130825 ... 86.528001 87.262177
|
||||
25 3456.0 79.430113 ... 80.460651 83.459178
|
||||
26 3584.0 87.466332 ... 91.938029 88.761490
|
||||
27 3712.0 85.091436 ... 83.666116 83.247783
|
||||
28 3840.0 81.019778 ... 79.965290 82.778440
|
||||
29 3968.0 85.992909 ... 84.974886 87.535103
|
||||
30 4096.0 93.531519 ... 90.200084 89.837839
|
||||
|
||||
[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 20.017 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 19.244 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -238,7 +238,7 @@ References
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 0 minutes 0.316 seconds)
|
||||
**Total running time of the script:** ( 0 minutes 0.306 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
|
||||
|
@@ -5,14 +5,14 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**03:43.892** total execution time for **getting-started_tutorials** files:
|
||||
**04:43.861** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:20.017 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:19.244 | 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``) | 01:14.917 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.972 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:09.393 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.316 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.306 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -329,16 +329,16 @@ for different problem sizes.</p>
|
||||
6 262144.0 341.333321 384.000001
|
||||
7 524288.0 472.615390 472.615390
|
||||
8 1048576.0 614.400016 614.400016
|
||||
9 2097152.0 702.171410 722.823517
|
||||
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 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 10.972 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 9.393 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>
|
||||
|
@@ -389,14 +389,14 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
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
|
||||
3 640.0 660.645170 640.000002 160.000000
|
||||
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 415.661740 199.298541
|
||||
95 12416.0 810.840807 412.149375 198.954424
|
||||
96 12544.0 810.925276 412.971190 199.209928
|
||||
97 12672.0 811.007961 412.097543 199.264875
|
||||
95 12416.0 810.840807 412.149375 198.854847
|
||||
96 12544.0 810.925276 412.971190 199.111113
|
||||
97 12672.0 811.007961 412.516771 199.264875
|
||||
|
||||
[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 14.917 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>
|
||||
|
@@ -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 ... 3.276800 3.276800
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
0 256.0 2.978909 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 35.389441 34.028308
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 40.140799 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 ... 63.392744 57.368243
|
||||
10 1536.0 79.526831 ... 75.296679 75.296679
|
||||
11 1664.0 62.929456 ... 61.217089 61.636381
|
||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||
13 1920.0 68.776119 ... 70.172588 69.818184
|
||||
14 2048.0 73.584279 ... 74.565406 74.565406
|
||||
15 2176.0 83.155572 ... 80.494588 80.494588
|
||||
16 2304.0 68.251065 ... 73.275679 73.275679
|
||||
17 2432.0 71.125224 ... 70.766913 80.041209
|
||||
18 2560.0 77.649287 ... 76.740048 76.027843
|
||||
19 2688.0 83.922689 ... 80.880718 83.186525
|
||||
20 2816.0 83.552120 ... 78.868366 78.442822
|
||||
21 2944.0 82.102191 ... 77.385141 77.990663
|
||||
22 3072.0 79.415291 ... 81.238312 83.146995
|
||||
23 3200.0 84.321474 ... 89.012517 89.761569
|
||||
24 3328.0 83.226931 ... 85.500351 87.051143
|
||||
25 3456.0 78.655188 ... 80.300370 83.632331
|
||||
26 3584.0 85.879071 ... 91.470385 93.661869
|
||||
27 3712.0 85.822459 ... 84.802499 88.876645
|
||||
28 3840.0 85.136259 ... 87.424508 88.121115
|
||||
29 3968.0 92.864488 ... 87.284643 87.597943
|
||||
30 4096.0 93.466385 ... 90.504200 89.898012
|
||||
7 1152.0 44.566925 ... 46.656000 45.938215
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
||||
10 1536.0 80.430545 ... 76.106321 76.106321
|
||||
11 1664.0 63.372618 ... 62.061463 62.061463
|
||||
12 1792.0 72.983276 ... 62.790080 62.441243
|
||||
13 1920.0 69.467336 ... 67.434145 70.172588
|
||||
14 2048.0 73.908442 ... 74.565406 74.565406
|
||||
15 2176.0 81.143743 ... 80.494588 80.817862
|
||||
16 2304.0 68.056616 ... 73.728002 73.501144
|
||||
17 2432.0 71.305746 ... 80.499895 80.269900
|
||||
18 2560.0 78.019048 ... 77.465723 77.283019
|
||||
19 2688.0 83.004501 ... 83.737433 84.483418
|
||||
20 2816.0 81.521884 ... 78.301990 80.767055
|
||||
21 2944.0 82.102191 ... 77.626218 71.194334
|
||||
22 3072.0 82.540970 ... 83.025078 83.269271
|
||||
23 3200.0 84.656085 ... 90.651555 84.993363
|
||||
24 3328.0 83.130825 ... 86.528001 87.262177
|
||||
25 3456.0 79.430113 ... 80.460651 83.459178
|
||||
26 3584.0 87.466332 ... 91.938029 88.761490
|
||||
27 3712.0 85.091436 ... 83.666116 83.247783
|
||||
28 3840.0 81.019778 ... 79.965290 82.778440
|
||||
29 3968.0 85.992909 ... 84.974886 87.535103
|
||||
30 4096.0 93.531519 ... 90.200084 89.837839
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 20.017 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 19.244 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>
|
||||
|
@@ -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 0.316 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.306 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>
|
||||
|
@@ -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>03:43.892</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>04:43.861</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>02:20.017</p></td>
|
||||
<td><p>02:19.244</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>01:14.917</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>00:10.972</p></td>
|
||||
<td><p>01:09.393</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>00:00.316</p></td>
|
||||
<td><p>00:00.306</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|