[GH-PAGES] Updated website
This commit is contained in:
Philippe Tillet
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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: e6dd4093d222d862b66c8001bd347f4e
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config: 3b893644f95de1dc720267b27aa33f8c
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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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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**Total running time of the script:** ( 1 minutes 42.276 seconds)
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**Total running time of the script:** ( 1 minutes 31.098 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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softmax-performance:
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N Triton Torch (native) Torch (jit)
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.. ... ... ... ...
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[98 rows x 4 columns]
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@@ -314,7 +314,7 @@ 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:** ( 3 minutes 21.471 seconds)
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**Total running time of the script:** ( 3 minutes 16.603 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -463,36 +463,36 @@ 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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M cuBLAS ... Triton Triton (+ LeakyReLU)
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[31 rows x 5 columns]
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@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 6 minutes 7.444 seconds)
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**Total running time of the script:** ( 5 minutes 11.940 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -238,7 +238,7 @@ References
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.116 seconds)
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**Total running time of the script:** ( 0 minutes 0.011 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -38,7 +38,7 @@ Layer Normalization
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layer-norm-backward:
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N Triton Torch Apex
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0 1024.0 311.088617 98.303995 303.407414
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@@ -47,27 +47,27 @@ Layer Normalization
|
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6 4096.0 568.231237 219.919464 296.096389
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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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||||
17 9728.0 439.683593 280.278512 289.308559
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||||
18 10240.0 445.217381 286.433562 291.184826
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||||
19 10752.0 427.940303 246.699797 290.267711
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||||
20 11264.0 428.424741 245.091565 286.372873
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||||
21 11776.0 421.826879 249.447482 288.391833
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||||
22 12288.0 419.504980 254.453844 294.617366
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||||
23 12800.0 414.016170 253.674644 289.538159
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||||
22 12288.0 419.504980 254.673582 294.911986
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||||
23 12800.0 414.016170 253.674644 288.180121
|
||||
24 13312.0 412.242569 252.360194 289.653667
|
||||
25 13824.0 405.594132 256.991469 291.543045
|
||||
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|
||||
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|
||||
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|
||||
29 15872.0 366.629453 262.708969 291.229369
|
||||
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|
||||
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||||
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||||
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||||
29 15872.0 366.982663 262.708969 291.229369
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||||
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||||
|
||||
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@@ -329,7 +329,7 @@ Layer Normalization
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||||
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||||
.. rst-class:: sphx-glr-timing
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||||
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||||
**Total running time of the script:** ( 2 minutes 12.961 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 13.206 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
||||
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||||
@@ -5,16 +5,16 @@
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||||
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||||
Computation times
|
||||
=================
|
||||
**13:24.269** total execution time for **getting-started_tutorials** files:
|
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**12:12.858** 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``) | 06:07.444 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:11.940 | 0.0 MB |
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||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
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||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.471 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:16.603 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
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||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.961 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.206 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:42.276 | 0.0 MB |
|
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:31.098 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.116 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.011 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
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@@ -324,7 +324,7 @@ for different problem sizes.</p>
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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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||||
2 16384.0 38.400001 38.400001
|
||||
3 32768.0 76.800002 76.800002
|
||||
3 32768.0 63.999998 63.999998
|
||||
4 65536.0 127.999995 127.999995
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||||
5 131072.0 219.428568 219.428568
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||||
6 262144.0 341.333321 341.333321
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||||
@@ -339,7 +339,7 @@ for different problem sizes.</p>
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||||
15 134217728.0 849.737435 850.656574
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 42.276 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 31.098 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>
|
||||
|
||||
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<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 188.321838
|
||||
0 256.0 512.000001 546.133347 184.089886
|
||||
1 384.0 585.142862 558.545450 151.703707
|
||||
2 512.0 655.360017 585.142849 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 702.171410 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 198.530610
|
||||
94 12288.0 814.111783 415.661740 198.794749
|
||||
95 12416.0 812.498981 412.149375 198.457532
|
||||
96 12544.0 812.566838 412.971190 198.716830
|
||||
97 12672.0 812.633240 412.097543 198.776477
|
||||
93 12160.0 812.359066 406.179533 198.834951
|
||||
94 12288.0 814.111783 415.661740 199.096718
|
||||
95 12416.0 812.498981 412.149375 198.655991
|
||||
96 12544.0 812.566838 412.971190 198.913776
|
||||
97 12672.0 812.633240 412.097543 199.069228
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
|
||||
</ul>
|
||||
</div></blockquote>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 21.471 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 16.603 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>
|
||||
|
||||
@@ -569,41 +569,41 @@ 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:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
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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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|
||||
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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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||||
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||||
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||||
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||||
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|
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|
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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-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>
|
||||
|
||||
@@ -371,7 +371,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
|
||||
<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>
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|
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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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<div class="sphx-glr-download sphx-glr-download-python docutils container">
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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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||||
@@ -194,7 +194,7 @@ to download the full example code</p>
|
||||
<p class="sphx-glr-script-out">Out:</p>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
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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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|
||||
28 15360.0 376.932517 257.970599 287.550706
|
||||
29 15872.0 366.982663 262.708969 291.229369
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -477,7 +477,7 @@ to download the full example code</p>
|
||||
<span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
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</pre></div>
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</div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 12.961 seconds)</p>
|
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 13.206 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-05-layer-norm-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
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<p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.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>13:24.269</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:12.858</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
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<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,23 +183,23 @@
|
||||
</colgroup>
|
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<tbody>
|
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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>
|
||||
<td><p>06:07.444</p></td>
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<td><p>05:11.940</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>
|
||||
<td><p>03:21.471</p></td>
|
||||
<td><p>03:16.603</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="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
|
||||
<td><p>02:12.961</p></td>
|
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<td><p>02:13.206</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-even"><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>01:42.276</p></td>
|
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<td><p>01:31.098</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="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>
|
||||
<td><p>00:00.116</p></td>
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<td><p>00:00.011</p></td>
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