[GH-PAGES] Updated website
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@@ -219,10 +219,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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@@ -239,7 +239,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
|
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|
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.. rst-class:: sphx-glr-timing
|
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**Total running time of the script:** ( 0 minutes 10.984 seconds)
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**Total running time of the script:** ( 0 minutes 11.033 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
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@@ -263,15 +263,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
|
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N Triton Torch (native) Torch (jit)
|
||||
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.. ... ... ... ...
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96 12544.0 809.290334 412.971190 199.111113
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[98 rows x 4 columns]
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@@ -290,7 +290,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 13.269 seconds)
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**Total running time of the script:** ( 1 minutes 12.611 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
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@@ -373,35 +373,35 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
|
||||
[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 16.432 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 22.083 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -5,12 +5,12 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**03:40.685** total execution time for **getting-started_tutorials** files:
|
||||
**03:45.727** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:16.432 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:22.083 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:13.269 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.611 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.984 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.033 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -308,10 +308,10 @@ for different problem sizes.</p>
|
||||
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|
||||
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|
||||
2 16384.0 38.400001 38.400001
|
||||
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|
||||
3 32768.0 63.999998 76.800002
|
||||
4 65536.0 127.999995 127.999995
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||||
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|
||||
6 262144.0 341.333321 384.000001
|
||||
6 262144.0 384.000001 384.000001
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||||
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|
||||
8 1048576.0 614.400016 614.400016
|
||||
9 2097152.0 722.823517 722.823517
|
||||
@@ -323,7 +323,7 @@ for different problem sizes.</p>
|
||||
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 10.984 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.033 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>
|
||||
|
@@ -348,15 +348,15 @@ 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 606.814814 154.566038
|
||||
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 162.754967
|
||||
4 768.0 702.171410 664.216187 163.839992
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 198.936606
|
||||
94 12288.0 812.429770 416.101597 199.298541
|
||||
93 12160.0 812.359066 405.755985 199.038365
|
||||
94 12288.0 812.429770 415.222812 199.197579
|
||||
95 12416.0 810.840807 412.149375 198.854847
|
||||
96 12544.0 810.925276 412.971190 199.111113
|
||||
97 12672.0 811.007961 412.097543 199.167004
|
||||
96 12544.0 809.290334 412.971190 199.111113
|
||||
97 12672.0 809.389265 412.516771 199.167004
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -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 PyTorch’s 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 13.269 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.611 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>
|
||||
|
@@ -478,40 +478,40 @@ tensor(True, device='cuda:0')
|
||||
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|
||||
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|
||||
2 384.0 7.372800 ... 8.507077 8.507077
|
||||
3 512.0 14.563555 ... 16.384000 15.420235
|
||||
3 512.0 14.563555 ... 15.420235 15.420235
|
||||
4 640.0 22.260869 ... 24.380953 24.380953
|
||||
5 768.0 32.768000 ... 34.028308 34.028308
|
||||
6 896.0 39.025776 ... 39.025776 39.025776
|
||||
7 1024.0 49.932191 ... 52.428801 52.428801
|
||||
8 1152.0 44.566925 ... 46.656000 46.656000
|
||||
9 1280.0 51.200001 ... 56.109587 56.109587
|
||||
10 1408.0 64.138541 ... 65.684049 64.902096
|
||||
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 68.435645 ... 69.818184 68.776119
|
||||
15 2048.0 73.584279 ... 75.915006 75.234154
|
||||
16 2176.0 83.500614 ... 78.608000 79.540109
|
||||
17 2304.0 68.251065 ... 73.051599 72.607513
|
||||
18 2432.0 71.125224 ... 81.669953 80.269900
|
||||
19 2560.0 77.833728 ... 75.328737 74.812787
|
||||
20 2688.0 81.576466 ... 81.227100 82.823267
|
||||
21 2816.0 83.392363 ... 78.868366 77.330158
|
||||
22 2944.0 81.698415 ... 80.122235 79.356738
|
||||
23 3072.0 80.890151 ... 81.589488 83.391907
|
||||
24 3200.0 84.656085 ... 85.447263 88.033012
|
||||
25 3328.0 82.939284 ... 86.632127 82.558825
|
||||
26 3456.0 81.518272 ... 84.954233 84.420490
|
||||
27 3584.0 83.254996 ... 94.747514 95.654673
|
||||
28 3712.0 86.192706 ... 88.955779 88.797643
|
||||
29 3840.0 84.809814 ... 84.874902 84.356981
|
||||
30 3968.0 89.593789 ... 84.738843 84.212518
|
||||
31 4096.0 93.596744 ... 83.833686 90.933423
|
||||
10 1408.0 64.138541 ... 65.684049 59.278569
|
||||
11 1536.0 79.526831 ... 76.106321 75.296679
|
||||
12 1664.0 63.372618 ... 62.061463 62.061463
|
||||
13 1792.0 72.983276 ... 69.379162 68.533074
|
||||
14 1920.0 69.467336 ... 70.172588 70.172588
|
||||
15 2048.0 73.908442 ... 75.234154 75.234154
|
||||
16 2176.0 82.473969 ... 77.998640 79.855747
|
||||
17 2304.0 68.446623 ... 73.275679 72.607513
|
||||
18 2432.0 71.305746 ... 80.499895 80.041209
|
||||
19 2560.0 77.649287 ... 76.740048 76.204654
|
||||
20 2688.0 82.463163 ... 83.552988 81.752274
|
||||
21 2816.0 82.916747 ... 76.382153 79.443003
|
||||
22 2944.0 83.060049 ... 77.868802 80.640830
|
||||
23 3072.0 81.121923 ... 83.269271 82.181572
|
||||
24 3200.0 84.656085 ... 88.888888 88.520058
|
||||
25 3328.0 83.808259 ... 86.528001 83.226931
|
||||
26 3456.0 78.578525 ... 80.945348 86.596744
|
||||
27 3584.0 87.722333 ... 90.915465 94.548254
|
||||
28 3712.0 85.748791 ... 80.303328 84.372753
|
||||
29 3840.0 85.136259 ... 88.050954 87.217666
|
||||
30 3968.0 93.076994 ... 87.535103 86.911637
|
||||
31 4096.0 93.727466 ... 91.804194 92.245860
|
||||
|
||||
[32 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 16.432 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 22.083 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>
|
||||
|
@@ -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>03:40.685</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>03:45.727</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>02:16.432</p></td>
|
||||
<td><p>02:22.083</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>01:13.269</p></td>
|
||||
<td><p>01:12.611</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
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<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>
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<td><p>00:10.984</p></td>
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<td><p>00:11.033</p></td>
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<td><p>0.0 MB</p></td>
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