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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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0 4096.0 9.540372 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 10.964 seconds)
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**Total running time of the script:** ( 0 minutes 11.019 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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@@ -306,11 +306,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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3 640.0 682.666684 640.000002 160.000000
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.. ... ... ... ...
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93 12160.0 812.359066 405.755985 199.038365
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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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**Total running time of the script:** ( 1 minutes 12.596 seconds)
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**Total running time of the script:** ( 1 minutes 12.589 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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@@ -462,37 +462,37 @@ 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:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
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M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||||
0 256.0 2.978909 ... 3.276800 2.978909
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0 256.0 2.978909 ... 2.978909 2.978909
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1 384.0 7.372800 ... 7.899428 7.899428
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 16.384000 15.420235
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3 640.0 22.260869 ... 24.380953 24.380953
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3 640.0 22.260869 ... 24.380953 24.380953
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4 768.0 32.768000 ... 34.028308 34.028308
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4 768.0 32.768000 ... 34.028308 34.028308
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5 896.0 37.971025 ... 39.025776 39.025776
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6 1024.0 49.932191 ... 52.428801 52.428801
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7 1152.0 44.566925 ... 46.656000 46.656000
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7 1152.0 44.566925 ... 46.656000 46.656000
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8 1280.0 51.200001 ... 56.888887 56.888887
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9 1408.0 64.138541 ... 63.392744 62.664092
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9 1408.0 64.138541 ... 63.392744 62.664092
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10 1536.0 79.526831 ... 75.296679 76.106321
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13 1920.0 69.120002 ... 68.776119 68.776119
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14 2048.0 73.584279 ... 74.235468 74.565406
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15 2176.0 83.155572 ... 80.173899 81.143743
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15 2176.0 83.500614 ... 81.143743 78.916269
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18 2560.0 78.019048 ... 76.560748 76.027843
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23 3200.0 84.768213 ... 86.253369 90.014065
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23 3200.0 81.528664 ... 90.140846 86.603520
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||||||
24 3328.0 83.226931 ... 81.622783 86.632127
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24 3328.0 83.034941 ... 87.262177 82.558825
|
||||||
25 3456.0 81.600781 ... 83.980802 84.068369
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25 3456.0 79.273916 ... 80.460651 79.040756
|
||||||
26 3584.0 87.211821 ... 85.797134 85.308722
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26 3584.0 87.466332 ... 93.080114 85.876512
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||||||
27 3712.0 85.822459 ... 79.472826 78.721311
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27 3712.0 85.091436 ... 82.698613 81.950243
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||||||
28 3840.0 83.465663 ... 86.197974 86.265212
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28 3840.0 81.019778 ... 86.063813 86.197974
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||||||
29 3968.0 93.219206 ... 86.849777 87.222259
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29 3968.0 93.219206 ... 87.850207 86.973584
|
||||||
30 4096.0 93.206754 ... 89.958266 89.777746
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|
||||||
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|
||||||
[31 rows x 5 columns]
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|
||||||
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|
||||||
@@ -502,7 +502,7 @@ 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 5.162 seconds)
|
**Total running time of the script:** ( 1 minutes 59.549 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:
|
||||||
|
@@ -238,7 +238,7 @@ References
|
|||||||
|
|
||||||
.. rst-class:: sphx-glr-timing
|
.. rst-class:: sphx-glr-timing
|
||||||
|
|
||||||
**Total running time of the script:** ( 0 minutes 0.187 seconds)
|
**Total running time of the script:** ( 0 minutes 0.185 seconds)
|
||||||
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|
||||||
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|
||||||
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
|
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
|
||||||
|
@@ -5,14 +5,14 @@
|
|||||||
|
|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**03:28.909** total execution time for **getting-started_tutorials** files:
|
**03:23.342** total execution time for **getting-started_tutorials** files:
|
||||||
|
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:05.162 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 01:59.549 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.596 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.589 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.964 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.019 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.187 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.185 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -320,7 +320,7 @@ 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
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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
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||||||
3 32768.0 76.800002 76.800002
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3 32768.0 76.800002 76.800002
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||||||
@@ -335,10 +335,10 @@ for different problem sizes.</p>
|
|||||||
12 16777216.0 833.084721 833.084721
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12 16777216.0 833.084721 833.084721
|
||||||
13 33554432.0 843.811163 843.811163
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13 33554432.0 843.811163 843.811163
|
||||||
14 67108864.0 848.362445 848.362445
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14 67108864.0 848.362445 848.362445
|
||||||
15 134217728.0 851.116890 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 10.964 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.019 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>
|
||||||
|
@@ -392,11 +392,11 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
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 199.038365
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93 12160.0 812.359066 406.179533 198.733401
|
||||||
94 12288.0 812.429770 415.661740 199.298541
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94 12288.0 812.429770 416.101597 199.096718
|
||||||
95 12416.0 810.840807 412.149375 198.755369
|
95 12416.0 810.840807 412.149375 198.655991
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||||||
96 12544.0 810.925276 412.971190 199.111113
|
96 12544.0 810.925276 412.546756 198.913776
|
||||||
97 12672.0 811.007961 412.097543 199.167004
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97 12672.0 811.007961 412.097543 198.873965
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
</pre></div>
|
</pre></div>
|
||||||
@@ -409,7 +409,7 @@ 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 12.596 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.589 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>
|
||||||
|
@@ -567,42 +567,42 @@ 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)
|
||||||
0 256.0 2.978909 ... 3.276800 2.978909
|
0 256.0 2.978909 ... 2.978909 2.978909
|
||||||
1 384.0 7.372800 ... 7.899428 7.899428
|
1 384.0 7.372800 ... 8.507077 8.507077
|
||||||
2 512.0 14.563555 ... 16.384000 15.420235
|
2 512.0 14.563555 ... 16.384000 16.384000
|
||||||
3 640.0 22.260869 ... 24.380953 24.380953
|
3 640.0 22.260869 ... 24.380953 24.380953
|
||||||
4 768.0 32.768000 ... 34.028308 34.028308
|
4 768.0 32.768000 ... 34.028308 34.028308
|
||||||
5 896.0 37.971025 ... 39.025776 39.025776
|
5 896.0 39.025776 ... 39.025776 35.994954
|
||||||
6 1024.0 49.932191 ... 52.428801 52.428801
|
6 1024.0 49.932191 ... 52.428801 52.428801
|
||||||
7 1152.0 44.566925 ... 46.656000 46.656000
|
7 1152.0 44.566925 ... 46.656000 46.656000
|
||||||
8 1280.0 51.200001 ... 56.888887 56.888887
|
8 1280.0 51.200001 ... 56.888887 56.888887
|
||||||
9 1408.0 64.138541 ... 63.392744 62.664092
|
9 1408.0 64.138541 ... 63.392744 62.664092
|
||||||
10 1536.0 79.526831 ... 75.296679 76.106321
|
10 1536.0 80.430545 ... 76.933564 75.296679
|
||||||
11 1664.0 62.929456 ... 62.061463 62.061463
|
11 1664.0 63.372618 ... 62.061463 62.061463
|
||||||
12 1792.0 72.983276 ... 62.441243 62.441243
|
12 1792.0 72.983276 ... 62.441243 62.441243
|
||||||
13 1920.0 69.120002 ... 68.776119 68.776119
|
13 1920.0 69.120002 ... 70.530615 70.172588
|
||||||
14 2048.0 73.584279 ... 74.235468 74.565406
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14 2048.0 73.908442 ... 74.898285 74.565406
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15 2176.0 83.155572 ... 80.173899 81.143743
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15 2176.0 83.500614 ... 81.143743 78.916269
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16 2304.0 68.056616 ... 73.275679 73.275679
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16 2304.0 68.056616 ... 73.501144 72.828879
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17 2432.0 71.125224 ... 72.037087 82.630777
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17 2432.0 71.125224 ... 82.388456 81.433227
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18 2560.0 78.019048 ... 76.560748 76.027843
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18 2560.0 77.833728 ... 77.283019 75.851852
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19 2688.0 84.108772 ... 81.752274 81.401408
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19 2688.0 81.752274 ... 83.369354 80.708630
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20 2816.0 83.552120 ... 78.726003 79.298560
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20 2816.0 83.392363 ... 79.587973 78.584162
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21 2944.0 80.510553 ... 78.112900 75.853930
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21 2944.0 79.865439 ... 78.605729 77.747321
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22 3072.0 81.825298 ... 83.146995 81.589488
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22 3072.0 80.890151 ... 83.638266 83.025078
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23 3200.0 84.768213 ... 86.253369 90.014065
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23 3200.0 81.528664 ... 90.140846 86.603520
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24 3328.0 83.226931 ... 81.622783 86.632127
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24 3328.0 83.034941 ... 87.262177 82.558825
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25 3456.0 81.600781 ... 83.980802 84.068369
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25 3456.0 79.273916 ... 80.460651 79.040756
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26 3584.0 87.211821 ... 85.797134 85.308722
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26 3584.0 87.466332 ... 93.080114 85.876512
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27 3712.0 85.822459 ... 79.472826 78.721311
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27 3712.0 85.091436 ... 82.698613 81.950243
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28 3840.0 83.465663 ... 86.197974 86.265212
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28 3840.0 81.019778 ... 86.063813 86.197974
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29 3968.0 93.219206 ... 86.849777 87.222259
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29 3968.0 93.219206 ... 87.850207 86.973584
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30 4096.0 93.206754 ... 89.958266 89.777746
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30 4096.0 93.727466 ... 84.894196 90.018600
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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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@@ -370,7 +370,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
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<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.185 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-04-low-memory-dropout-py">
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<p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.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">04-low-memory-dropout.py</span></code></a></p>
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<p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.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">04-low-memory-dropout.py</span></code></a></p>
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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>03:28.909</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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<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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<tr class="row-even"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
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