[GH-PAGES] Updated website
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@@ -231,22 +231,22 @@ 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 9.540372 9.600000
|
||||
0 4096.0 8.000000 9.600000
|
||||
1 8192.0 19.200000 19.200000
|
||||
2 16384.0 38.400001 38.400001
|
||||
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|
||||
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|
||||
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|
||||
6 262144.0 341.333321 341.333321
|
||||
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|
||||
7 524288.0 511.999982 472.615390
|
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8 1048576.0 585.142862 614.400016
|
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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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15 134217728.0 820.481984 850.656574
|
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|
||||
|
||||
|
||||
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@@ -301,16 +301,16 @@ 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 585.142849 154.566038
|
||||
1 384.0 585.142862 558.545450 153.600004
|
||||
2 512.0 630.153853 606.814814 154.566038
|
||||
3 640.0 660.645170 640.000002 160.000000
|
||||
4 768.0 664.216187 664.216187 163.839992
|
||||
.. ... ... ... ...
|
||||
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|
||||
94 12288.0 753.287332 415.222812 199.197579
|
||||
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|
||||
96 12544.0 736.528417 412.971190 199.111113
|
||||
97 12672.0 738.622965 412.097543 199.167004
|
||||
93 12160.0 741.180979 406.179533 199.038365
|
||||
94 12288.0 753.287332 415.222812 199.298541
|
||||
95 12416.0 737.128054 412.149375 198.854847
|
||||
96 12544.0 737.882340 412.546756 199.111113
|
||||
97 12672.0 738.622965 412.097543 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 13.336 seconds)
|
||||
**Total running time of the script:** ( 1 minutes 12.769 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
||||
|
@@ -472,27 +472,27 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
||||
10 1536.0 80.430545 ... 75.296679 75.296679
|
||||
11 1664.0 63.372618 ... 62.492442 62.061463
|
||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||
13 1920.0 69.120002 ... 69.120002 67.764707
|
||||
14 2048.0 73.584279 ... 74.565406 74.235468
|
||||
15 2176.0 82.473969 ... 79.855747 81.472263
|
||||
16 2304.0 68.446623 ... 73.275679 73.275679
|
||||
17 2432.0 71.125224 ... 71.125224 80.499895
|
||||
18 2560.0 77.649287 ... 75.328737 74.642370
|
||||
19 2688.0 82.642823 ... 81.227100 84.861423
|
||||
20 2816.0 82.446516 ... 80.320825 80.469019
|
||||
21 2944.0 82.784108 ... 77.505492 78.605729
|
||||
22 3072.0 81.589488 ... 83.391907 79.976138
|
||||
23 3200.0 83.989503 ... 86.137280 90.014065
|
||||
24 3328.0 83.130825 ... 84.596116 87.051143
|
||||
25 3456.0 80.300370 ... 84.156124 81.026701
|
||||
26 3584.0 83.954614 ... 91.377427 92.696281
|
||||
27 3712.0 84.230479 ... 83.526206 85.382349
|
||||
28 3840.0 84.809814 ... 87.148936 87.910967
|
||||
29 3968.0 92.652949 ... 87.222259 87.597943
|
||||
30 4096.0 93.727466 ... 90.382307 89.837839
|
||||
10 1536.0 80.430545 ... 76.106321 75.296679
|
||||
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|
||||
12 1792.0 72.983276 ... 62.441243 62.096267
|
||||
13 1920.0 69.120002 ... 70.172588 69.818184
|
||||
14 2048.0 73.584279 ... 74.898285 74.565406
|
||||
15 2176.0 82.137338 ... 78.302130 78.608000
|
||||
16 2304.0 68.643310 ... 73.051599 72.828879
|
||||
17 2432.0 70.945618 ... 72.222274 82.147552
|
||||
18 2560.0 77.833728 ... 76.560748 76.560748
|
||||
19 2688.0 81.928846 ... 83.369354 79.357857
|
||||
20 2816.0 79.587973 ... 80.320825 80.173175
|
||||
21 2944.0 78.854483 ... 76.435630 77.026327
|
||||
22 3072.0 81.589488 ... 82.661468 82.661468
|
||||
23 3200.0 84.768213 ... 88.888888 83.989503
|
||||
24 3328.0 83.130825 ... 86.217120 82.369902
|
||||
25 3456.0 80.220468 ... 81.271743 82.519518
|
||||
26 3584.0 87.466332 ... 92.126428 88.499397
|
||||
27 3712.0 84.301560 ... 83.247783 83.596102
|
||||
28 3840.0 80.255442 ... 80.432371 82.902547
|
||||
29 3968.0 86.176998 ... 87.159957 87.035620
|
||||
30 4096.0 93.662059 ... 83.057130 90.200084
|
||||
|
||||
[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 28.032 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 24.022 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -5,12 +5,12 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**03:52.398** total execution time for **getting-started_tutorials** files:
|
||||
**03:47.821** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:28.032 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:24.022 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:13.336 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.769 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.030 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -319,22 +319,22 @@ 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 9.540372 9.600000
|
||||
0 4096.0 8.000000 9.600000
|
||||
1 8192.0 19.200000 19.200000
|
||||
2 16384.0 38.400001 38.400001
|
||||
3 32768.0 63.999998 76.800002
|
||||
4 65536.0 127.999995 127.999995
|
||||
5 131072.0 219.428568 219.428568
|
||||
6 262144.0 341.333321 341.333321
|
||||
7 524288.0 472.615390 472.615390
|
||||
7 524288.0 511.999982 472.615390
|
||||
8 1048576.0 585.142862 614.400016
|
||||
9 2097152.0 682.666643 722.823517
|
||||
9 2097152.0 682.666643 702.171410
|
||||
10 4194304.0 744.727267 780.190482
|
||||
11 8388608.0 780.190482 812.429770
|
||||
12 16777216.0 799.219478 833.084721
|
||||
13 33554432.0 809.086412 843.811163
|
||||
14 67108864.0 814.111783 848.362445
|
||||
15 134217728.0 818.773573 850.656574
|
||||
13 33554432.0 807.425031 842.004273
|
||||
14 67108864.0 814.955429 848.362445
|
||||
15 134217728.0 820.481984 850.656574
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.030 seconds)</p>
|
||||
|
@@ -386,16 +386,16 @@ 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 585.142849 154.566038
|
||||
1 384.0 585.142862 558.545450 153.600004
|
||||
2 512.0 630.153853 606.814814 154.566038
|
||||
3 640.0 660.645170 640.000002 160.000000
|
||||
4 768.0 664.216187 664.216187 163.839992
|
||||
.. ... ... ... ...
|
||||
93 12160.0 742.595457 405.333344 199.038365
|
||||
94 12288.0 753.287332 415.222812 199.197579
|
||||
95 12416.0 737.128054 411.296057 198.854847
|
||||
96 12544.0 736.528417 412.971190 199.111113
|
||||
97 12672.0 738.622965 412.097543 199.167004
|
||||
93 12160.0 741.180979 406.179533 199.038365
|
||||
94 12288.0 753.287332 415.222812 199.298541
|
||||
95 12416.0 737.128054 412.149375 198.854847
|
||||
96 12544.0 737.882340 412.546756 199.111113
|
||||
97 12672.0 738.622965 412.097543 199.264875
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -408,7 +408,7 @@ 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 13.336 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.769 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>
|
||||
|
@@ -576,32 +576,32 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
||||
10 1536.0 80.430545 ... 75.296679 75.296679
|
||||
11 1664.0 63.372618 ... 62.492442 62.061463
|
||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||
13 1920.0 69.120002 ... 69.120002 67.764707
|
||||
14 2048.0 73.584279 ... 74.565406 74.235468
|
||||
15 2176.0 82.473969 ... 79.855747 81.472263
|
||||
16 2304.0 68.446623 ... 73.275679 73.275679
|
||||
17 2432.0 71.125224 ... 71.125224 80.499895
|
||||
18 2560.0 77.649287 ... 75.328737 74.642370
|
||||
19 2688.0 82.642823 ... 81.227100 84.861423
|
||||
20 2816.0 82.446516 ... 80.320825 80.469019
|
||||
21 2944.0 82.784108 ... 77.505492 78.605729
|
||||
22 3072.0 81.589488 ... 83.391907 79.976138
|
||||
23 3200.0 83.989503 ... 86.137280 90.014065
|
||||
24 3328.0 83.130825 ... 84.596116 87.051143
|
||||
25 3456.0 80.300370 ... 84.156124 81.026701
|
||||
26 3584.0 83.954614 ... 91.377427 92.696281
|
||||
27 3712.0 84.230479 ... 83.526206 85.382349
|
||||
28 3840.0 84.809814 ... 87.148936 87.910967
|
||||
29 3968.0 92.652949 ... 87.222259 87.597943
|
||||
30 4096.0 93.727466 ... 90.382307 89.837839
|
||||
10 1536.0 80.430545 ... 76.106321 75.296679
|
||||
11 1664.0 63.372618 ... 62.061463 61.636381
|
||||
12 1792.0 72.983276 ... 62.441243 62.096267
|
||||
13 1920.0 69.120002 ... 70.172588 69.818184
|
||||
14 2048.0 73.584279 ... 74.898285 74.565406
|
||||
15 2176.0 82.137338 ... 78.302130 78.608000
|
||||
16 2304.0 68.643310 ... 73.051599 72.828879
|
||||
17 2432.0 70.945618 ... 72.222274 82.147552
|
||||
18 2560.0 77.833728 ... 76.560748 76.560748
|
||||
19 2688.0 81.928846 ... 83.369354 79.357857
|
||||
20 2816.0 79.587973 ... 80.320825 80.173175
|
||||
21 2944.0 78.854483 ... 76.435630 77.026327
|
||||
22 3072.0 81.589488 ... 82.661468 82.661468
|
||||
23 3200.0 84.768213 ... 88.888888 83.989503
|
||||
24 3328.0 83.130825 ... 86.217120 82.369902
|
||||
25 3456.0 80.220468 ... 81.271743 82.519518
|
||||
26 3584.0 87.466332 ... 92.126428 88.499397
|
||||
27 3712.0 84.301560 ... 83.247783 83.596102
|
||||
28 3840.0 80.255442 ... 80.432371 82.902547
|
||||
29 3968.0 86.176998 ... 87.159957 87.035620
|
||||
30 4096.0 93.662059 ... 83.057130 90.200084
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 28.032 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 24.022 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>03:52.398</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>03:47.821</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,11 +183,11 @@
|
||||
</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>02:28.032</p></td>
|
||||
<td><p>02:24.022</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>01:13.336</p></td>
|
||||
<td><p>01:12.769</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>
|
||||
|