[GH-PAGES] Updated website
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@@ -231,7 +231,7 @@ 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 9.540372 9.600000
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0 4096.0 9.600000 9.600000
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1 8192.0 19.200000 19.200000
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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 10.995 seconds)
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**Total running time of the script:** ( 0 minutes 10.996 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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@@ -307,10 +307,10 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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4 768.0 702.171410 664.216187 163.839992
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4 768.0 702.171410 664.216187 163.839992
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.. ... ... ... ...
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93 12160.0 812.359066 406.179533 199.038365
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93 12160.0 812.359066 406.179533 199.038365
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94 12288.0 812.429770 415.661740 199.298541
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94 12288.0 812.429770 416.101597 199.298541
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95 12416.0 810.840807 412.149375 198.954424
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95 12416.0 810.840807 412.577363 198.954424
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96 12544.0 809.290334 412.971190 199.209928
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97 12672.0 809.389265 412.097543 199.264875
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97 12672.0 811.007961 412.097543 199.264875
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[98 rows x 4 columns]
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[98 rows x 4 columns]
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@@ -329,7 +329,7 @@ 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 12.644 seconds)
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**Total running time of the script:** ( 1 minutes 12.639 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -471,37 +471,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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matmul-performance:
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matmul-performance:
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||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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||||||
0 128.0 0.512000 ... 0.512000 0.512000
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0 128.0 0.512000 ... 0.512000 0.512000
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1 256.0 2.730667 ... 2.978909 2.978909
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1 256.0 2.978909 ... 3.276800 2.978909
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2 384.0 7.372800 ... 7.899428 7.899428
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2 384.0 7.372800 ... 8.507077 8.507077
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3 512.0 14.563555 ... 15.420235 15.420235
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3 512.0 14.563555 ... 16.384000 16.384000
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4 640.0 22.260869 ... 24.380953 23.272727
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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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5 768.0 32.768000 ... 34.028308 34.028308
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6 896.0 39.025776 ... 39.025776 37.971025
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6 896.0 39.025776 ... 40.140799 39.025776
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7 1024.0 49.932191 ... 52.428801 52.428801
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7 1024.0 49.932191 ... 53.773130 52.428801
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8 1152.0 44.566925 ... 46.656000 46.656000
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8 1152.0 44.566925 ... 46.656000 46.656000
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11 1536.0 79.526831 ... 76.106321 75.296679
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11 1536.0 80.430545 ... 76.933564 76.106321
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12 1664.0 62.929456 ... 62.492442 62.492442
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13 1792.0 72.983276 ... 69.810085 69.810085
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13 1792.0 72.983276 ... 70.246402 69.810085
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14 1920.0 66.782607 ... 69.467336 69.120002
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14 1920.0 69.467336 ... 68.098521 70.530615
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15 2048.0 73.262953 ... 74.898285 74.565406
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15 2048.0 73.908442 ... 75.234154 68.200062
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16 2176.0 82.473969 ... 80.173899 77.398646
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16 2176.0 83.155572 ... 78.916269 78.608000
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17 2304.0 68.446623 ... 73.501144 73.501144
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17 2304.0 68.251065 ... 73.051599 73.501144
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18 2432.0 71.305746 ... 81.908060 81.908060
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18 2432.0 71.305746 ... 82.630777 82.147552
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19 2560.0 77.649287 ... 76.740048 75.328737
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19 2560.0 78.019048 ... 77.283019 77.101175
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21 2816.0 84.035084 ... 78.021838 79.733474
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21 2816.0 83.233226 ... 79.298560 76.921000
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22 2944.0 81.431424 ... 79.230573 77.990663
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22 2944.0 82.373605 ... 78.605729 77.990663
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23 3072.0 82.420822 ... 83.146995 80.774758
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23 3072.0 81.355034 ... 82.782312 82.181572
|
||||||
24 3200.0 84.321474 ... 86.137280 90.140846
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24 3200.0 83.009080 ... 84.880639 90.014065
|
||||||
25 3328.0 83.226931 ... 81.438120 86.946008
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25 3328.0 83.419811 ... 82.369902 84.795401
|
||||||
26 3456.0 81.932484 ... 81.189898 85.133652
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26 3456.0 81.683457 ... 84.954233 82.099354
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27 3584.0 88.238857 ... 87.979837 89.468054
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27 3584.0 85.715344 ... 95.249353 94.747514
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28 3712.0 85.455380 ... 82.084920 86.044224
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28 3712.0 80.692524 ... 84.159518 89.114488
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29 3840.0 83.591840 ... 84.809814 85.333335
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29 3840.0 85.465227 ... 83.214447 84.874902
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30 3968.0 90.859224 ... 86.911637 86.296981
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30 3968.0 86.112380 ... 81.080712 82.728089
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31 4096.0 92.309303 ... 90.504200 90.382307
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31 4096.0 93.727466 ... 88.709668 88.534120
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||||||
[32 rows x 5 columns]
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[32 rows x 5 columns]
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||||||
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||||||
@@ -511,7 +511,7 @@ 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
|
||||||
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|
||||||
**Total running time of the script:** ( 2 minutes 17.805 seconds)
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**Total running time of the script:** ( 2 minutes 18.530 seconds)
|
||||||
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|
||||||
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||||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||||
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@@ -5,12 +5,12 @@
|
|||||||
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|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**03:41.443** total execution time for **getting-started_tutorials** files:
|
**03:42.165** total execution time for **getting-started_tutorials** files:
|
||||||
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|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:17.805 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:18.530 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.644 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.639 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.995 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.996 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -319,7 +319,7 @@ 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 9.540372 9.600000
|
0 4096.0 9.600000 9.600000
|
||||||
1 8192.0 19.200000 19.200000
|
1 8192.0 19.200000 19.200000
|
||||||
2 16384.0 38.400001 38.400001
|
2 16384.0 38.400001 38.400001
|
||||||
3 32768.0 76.800002 76.800002
|
3 32768.0 76.800002 76.800002
|
||||||
@@ -337,7 +337,7 @@ for different problem sizes.</p>
|
|||||||
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 10.995 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.996 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>
|
||||||
|
@@ -392,10 +392,10 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
4 768.0 702.171410 664.216187 163.839992
|
4 768.0 702.171410 664.216187 163.839992
|
||||||
.. ... ... ... ...
|
.. ... ... ... ...
|
||||||
93 12160.0 812.359066 406.179533 199.038365
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93 12160.0 812.359066 406.179533 199.038365
|
||||||
94 12288.0 812.429770 415.661740 199.298541
|
94 12288.0 812.429770 416.101597 199.298541
|
||||||
95 12416.0 810.840807 412.149375 198.954424
|
95 12416.0 810.840807 412.577363 198.954424
|
||||||
96 12544.0 809.290334 412.971190 199.209928
|
96 12544.0 810.925276 412.971190 199.209928
|
||||||
97 12672.0 809.389265 412.097543 199.264875
|
97 12672.0 811.007961 412.097543 199.264875
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
</pre></div>
|
</pre></div>
|
||||||
@@ -409,7 +409,7 @@ 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>
|
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>
|
</ul>
|
||||||
</div></blockquote>
|
</div></blockquote>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.644 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.639 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>
|
||||||
|
@@ -575,42 +575,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
<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 0.512000 ... 0.512000 0.512000
|
0 128.0 0.512000 ... 0.512000 0.512000
|
||||||
1 256.0 2.730667 ... 2.978909 2.978909
|
1 256.0 2.978909 ... 3.276800 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
|
3 512.0 14.563555 ... 16.384000 16.384000
|
||||||
4 640.0 22.260869 ... 24.380953 23.272727
|
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 ... 39.025776 37.971025
|
6 896.0 39.025776 ... 40.140799 39.025776
|
||||||
7 1024.0 49.932191 ... 52.428801 52.428801
|
7 1024.0 49.932191 ... 53.773130 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 58.016903
|
10 1408.0 64.138541 ... 64.902096 64.902096
|
||||||
11 1536.0 79.526831 ... 76.106321 75.296679
|
11 1536.0 80.430545 ... 76.933564 76.106321
|
||||||
12 1664.0 62.929456 ... 62.492442 62.492442
|
12 1664.0 63.372618 ... 62.492442 62.492442
|
||||||
13 1792.0 72.983276 ... 69.810085 69.810085
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13 1792.0 72.983276 ... 70.246402 69.810085
|
||||||
14 1920.0 66.782607 ... 69.467336 69.120002
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14 1920.0 69.467336 ... 68.098521 70.530615
|
||||||
15 2048.0 73.262953 ... 74.898285 74.565406
|
15 2048.0 73.908442 ... 75.234154 68.200062
|
||||||
16 2176.0 82.473969 ... 80.173899 77.398646
|
16 2176.0 83.155572 ... 78.916269 78.608000
|
||||||
17 2304.0 68.446623 ... 73.501144 73.501144
|
17 2304.0 68.251065 ... 73.051599 73.501144
|
||||||
18 2432.0 71.305746 ... 81.908060 81.908060
|
18 2432.0 71.305746 ... 82.630777 82.147552
|
||||||
19 2560.0 77.649287 ... 76.740048 75.328737
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19 2560.0 78.019048 ... 77.283019 77.101175
|
||||||
20 2688.0 83.552988 ... 82.823267 81.928846
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20 2688.0 80.880718 ... 84.861423 81.752274
|
||||||
21 2816.0 84.035084 ... 78.021838 79.733474
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21 2816.0 83.233226 ... 79.298560 76.921000
|
||||||
22 2944.0 81.431424 ... 79.230573 77.990663
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22 2944.0 82.373605 ... 78.605729 77.990663
|
||||||
23 3072.0 82.420822 ... 83.146995 80.774758
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23 3072.0 81.355034 ... 82.782312 82.181572
|
||||||
24 3200.0 84.321474 ... 86.137280 90.140846
|
24 3200.0 83.009080 ... 84.880639 90.014065
|
||||||
25 3328.0 83.226931 ... 81.438120 86.946008
|
25 3328.0 83.419811 ... 82.369902 84.795401
|
||||||
26 3456.0 81.932484 ... 81.189898 85.133652
|
26 3456.0 81.683457 ... 84.954233 82.099354
|
||||||
27 3584.0 88.238857 ... 87.979837 89.468054
|
27 3584.0 85.715344 ... 95.249353 94.747514
|
||||||
28 3712.0 85.455380 ... 82.084920 86.044224
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28 3712.0 80.692524 ... 84.159518 89.114488
|
||||||
29 3840.0 83.591840 ... 84.809814 85.333335
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29 3840.0 85.465227 ... 83.214447 84.874902
|
||||||
30 3968.0 90.859224 ... 86.911637 86.296981
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30 3968.0 86.112380 ... 81.080712 82.728089
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 17.805 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 18.530 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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<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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<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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<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>
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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>
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<p><strong>03:41.443</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<p><strong>03:42.165</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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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>
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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>
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<td><p>02:17.805</p></td>
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<td><p>02:18.530</p></td>
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<td><p>0.0 MB</p></td>
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<td><p>0.0 MB</p></td>
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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>
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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>
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<td><p>01:12.644</p></td>
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<td><p>01:12.639</p></td>
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<td><p>0.0 MB</p></td>
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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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<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>00:10.995</p></td>
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<td><p>00:10.996</p></td>
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<td><p>0.0 MB</p></td>
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