[GH-PAGES] Updated website
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@@ -216,13 +216,13 @@ 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 9.600000 9.600000
|
||||
0 4096.0 9.540372 9.600000
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||||
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2 16384.0 38.400001 38.400001
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9 2097152.0 722.823517 722.823517
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@@ -239,7 +239,7 @@ 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 12.689 seconds)
|
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**Total running time of the script:** ( 0 minutes 11.067 seconds)
|
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||||
|
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
||||
|
@@ -262,16 +262,16 @@ 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 273.066674
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1 384.0 585.142862 585.142862 267.130429
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1 384.0 585.142862 585.142862 261.446801
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.. ... ... ... ...
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||||
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||||
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|
||||
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|
||||
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|
||||
97 12672.0 809.389265 412.097543 329.142870
|
||||
93 12160.0 812.359066 405.755985 329.483481
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||||
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||||
96 12544.0 810.925276 412.971190 329.022957
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97 12672.0 811.007961 412.097543 329.410251
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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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|
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.. rst-class:: sphx-glr-timing
|
||||
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||||
**Total running time of the script:** ( 1 minutes 8.263 seconds)
|
||||
**Total running time of the script:** ( 1 minutes 8.169 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
||||
|
@@ -372,36 +372,36 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 128.0 0.455111 ... 0.512000 0.512000
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1 256.0 2.730667 ... 2.978909 2.978909
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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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20 2688.0 83.737433 ... 83.552988 80.537273
|
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|
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|
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|
||||
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|
||||
26 3456.0 81.849303 ... 80.783132 85.043848
|
||||
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|
||||
28 3712.0 84.088676 ... 84.301560 81.550936
|
||||
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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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|
||||
18 2432.0 71.305746 ... 81.197876 81.197876
|
||||
19 2560.0 77.833728 ... 76.740048 76.382283
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
26 3456.0 82.350937 ... 84.686523 84.508982
|
||||
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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 10.315 seconds)
|
||||
**Total running time of the script:** ( 1 minutes 58.805 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -5,12 +5,12 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**03:31.267** total execution time for **getting-started_tutorials** files:
|
||||
**03:18.042** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:10.315 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 01:58.805 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.263 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.169 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:12.689 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.067 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -305,13 +305,13 @@ 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 9.600000 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
|
||||
4 65536.0 127.999995 127.999995
|
||||
5 131072.0 219.428568 219.428568
|
||||
6 262144.0 384.000001 384.000001
|
||||
6 262144.0 341.333321 341.333321
|
||||
7 524288.0 472.615390 472.615390
|
||||
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 12.689 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.067 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>
|
||||
|
@@ -347,16 +347,16 @@ 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 273.066674
|
||||
1 384.0 585.142862 585.142862 267.130429
|
||||
1 384.0 585.142862 585.142862 261.446801
|
||||
2 512.0 630.153853 606.814814 264.258068
|
||||
3 640.0 682.666684 640.000002 269.473696
|
||||
3 640.0 682.666684 640.000002 265.974036
|
||||
4 768.0 702.171410 664.216187 273.066663
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 329.483481
|
||||
94 12288.0 812.429770 415.661740 329.602681
|
||||
95 12416.0 810.840807 412.149375 328.900662
|
||||
96 12544.0 810.925276 412.971190 329.292871
|
||||
97 12672.0 809.389265 412.097543 329.142870
|
||||
93 12160.0 812.359066 405.755985 329.483481
|
||||
94 12288.0 812.429770 415.222812 329.602681
|
||||
95 12416.0 810.840807 412.149375 329.173158
|
||||
96 12544.0 810.925276 412.971190 329.022957
|
||||
97 12672.0 811.007961 412.097543 329.410251
|
||||
|
||||
[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 8.263 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 8.169 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>
|
||||
|
@@ -477,41 +477,41 @@ tensor(True, device='cuda:0')
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 128.0 0.455111 ... 0.512000 0.512000
|
||||
1 256.0 2.730667 ... 2.978909 2.978909
|
||||
2 384.0 7.372800 ... 7.899428 7.899428
|
||||
2 384.0 7.372800 ... 8.507077 8.507077
|
||||
3 512.0 14.563555 ... 15.420235 15.420235
|
||||
4 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 640.0 22.260869 ... 23.272727 23.272727
|
||||
5 768.0 32.768000 ... 34.028308 34.028308
|
||||
6 896.0 39.025776 ... 39.025776 37.971025
|
||||
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 65.684049
|
||||
11 1536.0 80.430545 ... 76.106321 75.296679
|
||||
11 1536.0 80.430545 ... 76.106321 76.106321
|
||||
12 1664.0 63.372618 ... 61.636381 61.636381
|
||||
13 1792.0 72.983276 ... 68.953520 68.533074
|
||||
14 1920.0 65.516586 ... 67.764707 69.120002
|
||||
15 2048.0 73.584279 ... 75.234154 74.898285
|
||||
16 2176.0 82.473969 ... 78.302130 78.608000
|
||||
17 2304.0 68.446623 ... 73.051599 72.607513
|
||||
18 2432.0 71.305746 ... 80.499895 80.963875
|
||||
19 2560.0 78.019048 ... 76.740048 74.983980
|
||||
20 2688.0 83.737433 ... 83.552988 80.537273
|
||||
21 2816.0 78.868366 ... 77.193289 78.442822
|
||||
22 2944.0 81.166173 ... 80.122235 77.385141
|
||||
23 3072.0 81.472093 ... 83.391907 81.121923
|
||||
24 3200.0 82.368085 ... 86.021503 87.671229
|
||||
25 3328.0 83.516586 ... 86.320498 82.939284
|
||||
26 3456.0 81.849303 ... 80.783132 85.043848
|
||||
27 3584.0 87.211821 ... 92.126428 84.663603
|
||||
28 3712.0 84.088676 ... 84.301560 81.550936
|
||||
29 3840.0 81.079177 ... 84.164384 85.267542
|
||||
30 3968.0 92.442373 ... 84.038524 83.807647
|
||||
31 4096.0 93.401342 ... 91.304576 91.056800
|
||||
13 1792.0 72.983276 ... 69.379162 68.953520
|
||||
14 1920.0 68.098521 ... 69.818184 69.818184
|
||||
15 2048.0 73.584279 ... 75.234154 75.573044
|
||||
16 2176.0 83.500614 ... 80.817862 80.494588
|
||||
17 2304.0 68.251065 ... 73.051599 73.051599
|
||||
18 2432.0 71.305746 ... 81.197876 81.197876
|
||||
19 2560.0 77.833728 ... 76.740048 76.382283
|
||||
20 2688.0 83.004501 ... 83.369354 85.051697
|
||||
21 2816.0 81.067298 ... 75.982940 78.868366
|
||||
22 2944.0 79.483304 ... 79.865439 79.230573
|
||||
23 3072.0 81.589488 ... 83.146995 83.025078
|
||||
24 3200.0 84.432717 ... 86.956520 89.385477
|
||||
25 3328.0 84.003845 ... 82.843841 85.806075
|
||||
26 3456.0 82.350937 ... 84.686523 84.508982
|
||||
27 3584.0 84.111686 ... 92.032132 96.475743
|
||||
28 3712.0 86.416391 ... 84.874549 88.170647
|
||||
29 3840.0 85.005380 ... 87.771425 87.493673
|
||||
30 3968.0 92.512459 ... 80.703662 84.797731
|
||||
31 4096.0 93.727466 ... 90.995066 91.741443
|
||||
|
||||
[32 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 10.315 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 58.805 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>03:31.267</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>03:18.042</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>02:10.315</p></td>
|
||||
<td><p>01:58.805</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>01:08.263</p></td>
|
||||
<td><p>01:08.169</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>00:12.689</p></td>
|
||||
<td><p>00:11.067</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|