[GH-PAGES] Updated website
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@@ -231,20 +231,20 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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vector-add-performance:
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vector-add-performance:
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size Triton Torch
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size Triton Torch
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0 4096.0 9.600000 9.600000
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@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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.. rst-class:: sphx-glr-timing
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 10.971 seconds)
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**Total running time of the script:** ( 0 minutes 11.005 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -302,14 +302,14 @@ 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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N Triton Torch (native) Torch (jit)
|
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0 256.0 512.000001 546.133347 186.181817
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.. ... ... ... ...
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.. ... ... ... ...
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[98 rows x 4 columns]
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@@ -328,7 +328,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 12.739 seconds)
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**Total running time of the script:** ( 1 minutes 12.620 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -462,38 +462,38 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
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||||||
matmul-performance:
|
matmul-performance:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||||
0 128.0 0.455111 ... 0.512000 0.512000
|
0 128.0 0.512000 ... 0.512000 0.512000
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||||||
1 256.0 2.978909 ... 2.978909 2.978909
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1 256.0 2.730667 ... 3.276800 2.978909
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4 640.0 22.260869 ... 24.380953 24.380953
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5 768.0 32.768000 ... 34.028308 34.028308
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15 2048.0 73.584279 ... 75.234154 74.898285
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18 2432.0 71.125224 ... 80.499895 79.587714
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19 2560.0 77.649287 ... 77.465723 76.740048
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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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|
||||||
31 4096.0 93.531519 ... 89.777746 87.552332
|
31 4096.0 93.727466 ... 89.657802 89.597949
|
||||||
|
|
||||||
[32 rows x 5 columns]
|
[32 rows x 5 columns]
|
||||||
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|
||||||
@@ -503,7 +503,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
|
|
||||||
.. rst-class:: sphx-glr-timing
|
.. rst-class:: sphx-glr-timing
|
||||||
|
|
||||||
**Total running time of the script:** ( 2 minutes 30.498 seconds)
|
**Total running time of the script:** ( 2 minutes 27.404 seconds)
|
||||||
|
|
||||||
|
|
||||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||||
|
@@ -5,12 +5,12 @@
|
|||||||
|
|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**03:54.208** total execution time for **getting-started_tutorials** files:
|
**03:51.029** total execution time for **getting-started_tutorials** files:
|
||||||
|
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:30.498 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:27.404 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.739 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.620 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.971 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.005 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -319,25 +319,25 @@ for different problem sizes.</p>
|
|||||||
<p class="sphx-glr-script-out">Out:</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:
|
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
|
||||||
size Triton Torch
|
size Triton Torch
|
||||||
0 4096.0 9.600000 9.600000
|
0 4096.0 9.540372 9.600000
|
||||||
1 8192.0 19.200000 19.200000
|
1 8192.0 19.200000 19.200000
|
||||||
2 16384.0 38.400001 38.400001
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2 16384.0 38.400001 38.400001
|
||||||
3 32768.0 63.999998 76.800002
|
3 32768.0 63.999998 63.999998
|
||||||
4 65536.0 127.999995 127.999995
|
4 65536.0 127.999995 127.999995
|
||||||
5 131072.0 219.428568 219.428568
|
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
|
7 524288.0 472.615390 472.615390
|
||||||
8 1048576.0 614.400016 614.400016
|
8 1048576.0 614.400016 614.400016
|
||||||
9 2097152.0 722.823517 722.823517
|
9 2097152.0 722.823517 722.823517
|
||||||
10 4194304.0 780.190482 780.190482
|
10 4194304.0 780.190482 780.190482
|
||||||
11 8388608.0 812.429770 812.429770
|
11 8388608.0 812.429770 812.429770
|
||||||
12 16777216.0 833.084721 833.084721
|
12 16777216.0 833.084721 833.084721
|
||||||
13 33554432.0 843.811163 843.811163
|
13 33554432.0 843.811163 842.004273
|
||||||
14 67108864.0 849.278610 848.362445
|
14 67108864.0 849.278610 848.362445
|
||||||
15 134217728.0 851.577704 850.656574
|
15 134217728.0 851.577704 850.656574
|
||||||
</pre></div>
|
</pre></div>
|
||||||
</div>
|
</div>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.971 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.005 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-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">
|
<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>
|
<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>
|
||||||
|
@@ -387,14 +387,14 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
N Triton Torch (native) Torch (jit)
|
N Triton Torch (native) Torch (jit)
|
||||||
0 256.0 512.000001 546.133347 186.181817
|
0 256.0 512.000001 546.133347 186.181817
|
||||||
1 384.0 585.142862 585.142862 153.600004
|
1 384.0 585.142862 585.142862 153.600004
|
||||||
2 512.0 630.153853 585.142849 154.566038
|
2 512.0 630.153853 606.814814 154.566038
|
||||||
3 640.0 682.666684 640.000002 160.000000
|
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 163.839992
|
||||||
.. ... ... ... ...
|
.. ... ... ... ...
|
||||||
93 12160.0 812.359066 405.755985 198.936606
|
93 12160.0 812.359066 405.755985 199.038365
|
||||||
94 12288.0 812.429770 415.222812 199.096718
|
94 12288.0 812.429770 415.222812 199.298541
|
||||||
95 12416.0 810.840807 411.296057 198.755369
|
95 12416.0 810.840807 412.149375 198.854847
|
||||||
96 12544.0 810.925276 412.971190 199.012395
|
96 12544.0 810.925276 412.546756 199.012395
|
||||||
97 12672.0 811.007961 412.097543 199.167004
|
97 12672.0 811.007961 412.097543 199.167004
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
@@ -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>
|
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
|
||||||
</ul>
|
</ul>
|
||||||
</div></blockquote>
|
</div></blockquote>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.739 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.620 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-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">
|
<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>
|
<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>
|
||||||
|
@@ -566,43 +566,43 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
<p class="sphx-glr-script-out">Out:</p>
|
<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:
|
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||||
0 128.0 0.455111 ... 0.512000 0.512000
|
0 128.0 0.512000 ... 0.512000 0.512000
|
||||||
1 256.0 2.978909 ... 2.978909 2.978909
|
1 256.0 2.730667 ... 3.276800 2.978909
|
||||||
2 384.0 7.372800 ... 8.507077 8.507077
|
2 384.0 7.372800 ... 8.507077 7.899428
|
||||||
3 512.0 14.563555 ... 16.384000 16.384000
|
3 512.0 14.563555 ... 16.384000 16.384000
|
||||||
4 640.0 22.260869 ... 24.380953 24.380953
|
4 640.0 22.260869 ... 24.380953 24.380953
|
||||||
5 768.0 32.768000 ... 34.028308 34.028308
|
5 768.0 32.768000 ... 34.028308 34.028308
|
||||||
6 896.0 39.025776 ... 40.140799 36.023796
|
6 896.0 39.025776 ... 40.140799 39.025776
|
||||||
7 1024.0 49.932191 ... 52.428801 52.428801
|
7 1024.0 49.932191 ... 52.428801 52.428801
|
||||||
8 1152.0 44.566925 ... 46.656000 46.656000
|
8 1152.0 44.566925 ... 46.656000 46.656000
|
||||||
9 1280.0 51.200001 ... 56.888887 56.109587
|
9 1280.0 51.200001 ... 56.888887 56.888887
|
||||||
10 1408.0 64.138541 ... 64.902096 64.902096
|
10 1408.0 64.138541 ... 65.684049 58.016903
|
||||||
11 1536.0 78.643199 ... 76.106321 75.296679
|
11 1536.0 79.526831 ... 76.106321 75.296679
|
||||||
12 1664.0 63.372618 ... 62.492442 61.636381
|
12 1664.0 63.372618 ... 62.492442 62.492442
|
||||||
13 1792.0 72.983276 ... 69.810085 69.379162
|
13 1792.0 72.983276 ... 69.810085 69.379162
|
||||||
14 1920.0 67.434145 ... 70.892307 70.530615
|
14 1920.0 67.434145 ... 68.776119 70.172588
|
||||||
15 2048.0 73.908442 ... 75.234154 74.898285
|
15 2048.0 73.584279 ... 75.234154 74.898285
|
||||||
16 2176.0 81.472263 ... 80.817862 80.173899
|
16 2176.0 83.500614 ... 80.173899 79.226957
|
||||||
17 2304.0 68.446623 ... 73.501144 73.275679
|
17 2304.0 68.251065 ... 73.501144 73.051599
|
||||||
18 2432.0 71.305746 ... 81.197876 79.362895
|
18 2432.0 71.125224 ... 80.499895 79.587714
|
||||||
19 2560.0 77.649287 ... 77.649287 76.560748
|
19 2560.0 77.649287 ... 77.465723 76.740048
|
||||||
20 2688.0 82.642823 ... 80.708630 82.823267
|
20 2688.0 81.928846 ... 83.369354 83.922689
|
||||||
21 2816.0 79.587973 ... 79.733474 77.605356
|
21 2816.0 82.446516 ... 80.469019 80.173175
|
||||||
22 2944.0 81.967162 ... 78.112900 79.230573
|
22 2944.0 79.356738 ... 77.868802 78.112900
|
||||||
23 3072.0 81.707223 ... 84.135370 79.863336
|
23 3072.0 80.316458 ... 83.028883 78.862262
|
||||||
24 3200.0 84.099871 ... 87.074829 89.136491
|
24 3200.0 84.432717 ... 90.395483 87.551302
|
||||||
25 3328.0 83.905938 ... 84.003845 86.424125
|
25 3328.0 83.905938 ... 87.368079 81.715431
|
||||||
26 3456.0 81.518272 ... 85.494768 81.353753
|
26 3456.0 79.351933 ... 81.435930 83.632331
|
||||||
27 3584.0 86.540320 ... 94.448944 94.847460
|
27 3584.0 87.296493 ... 92.696281 91.844118
|
||||||
28 3712.0 83.947349 ... 88.955779 89.114488
|
28 3712.0 83.317214 ... 83.178475 82.084920
|
||||||
29 3840.0 84.809814 ... 88.191387 87.217666
|
29 3840.0 80.197243 ... 81.439280 80.373915
|
||||||
30 3968.0 93.148045 ... 83.179234 87.409694
|
30 3968.0 88.938731 ... 82.672046 87.222259
|
||||||
31 4096.0 93.531519 ... 89.777746 87.552332
|
31 4096.0 93.727466 ... 89.657802 89.597949
|
||||||
|
|
||||||
[32 rows x 5 columns]
|
[32 rows x 5 columns]
|
||||||
</pre></div>
|
</pre></div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 30.498 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 27.404 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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<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">
|
<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>
|
<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>
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@@ -174,7 +174,7 @@
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<div class="section" id="computation-times">
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<div class="section" id="computation-times">
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||||||
<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>
|
<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>
|
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<p><strong>03:54.208</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
<p><strong>03:51.029</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<table class="docutils align-default">
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||||||
<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>
|
<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>02:30.498</p></td>
|
<td><p>02:27.404</p></td>
|
||||||
<td><p>0.0 MB</p></td>
|
<td><p>0.0 MB</p></td>
|
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</tr>
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|
||||||
<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>
|
<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>01:12.739</p></td>
|
<td><p>01:12.620</p></td>
|
||||||
<td><p>0.0 MB</p></td>
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<td><p>0.0 MB</p></td>
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</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>
|
<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>00:10.971</p></td>
|
<td><p>00:11.005</p></td>
|
||||||
<td><p>0.0 MB</p></td>
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<td><p>0.0 MB</p></td>
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|
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