[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: 6bd005c2a36785a0d1bb7cfbf20ed4c0
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config: 2fc34eba5cab3261fb416f790de3dea5
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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 37.395 seconds)
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**Total running time of the script:** ( 1 minutes 43.959 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -286,13 +286,13 @@ 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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@@ -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 18.756 seconds)
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**Total running time of the script:** ( 3 minutes 23.286 seconds)
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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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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:** ( 5 minutes 18.032 seconds)
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**Total running time of the script:** ( 5 minutes 24.712 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -38,36 +38,36 @@ Layer Normalization
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layer-norm-backward:
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N Triton Torch Apex
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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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||||
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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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 2 minutes 12.525 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 10.850 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
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@@ -5,16 +5,16 @@
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Computation times
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||||
=================
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||||
**12:26.718** total execution time for **getting-started_tutorials** files:
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||||
**12:42.818** 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``) | 05:18.032 | 0.0 MB |
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||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.712 | 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``) | 03:18.756 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:23.286 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.525 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:10.850 | 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``) | 01:37.395 | 0.0 MB |
|
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.959 | 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``) | 00:00.011 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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@@ -327,10 +327,10 @@ for different problem sizes.</p>
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||||
3 32768.0 76.800002 76.800002
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||||
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 384.000001
|
||||
6 262144.0 341.333321 341.333321
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||||
7 524288.0 472.615390 472.615390
|
||||
8 1048576.0 614.400016 614.400016
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||||
9 2097152.0 722.823517 702.171410
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||||
9 2097152.0 722.823517 722.823517
|
||||
10 4194304.0 780.190482 780.190482
|
||||
11 8388608.0 812.429770 812.429770
|
||||
12 16777216.0 833.084721 833.084721
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@@ -339,7 +339,7 @@ for different problem sizes.</p>
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15 134217728.0 849.737435 850.656574
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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> ( 1 minutes 37.395 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 43.959 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">
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||||
<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>
|
||||
|
||||
@@ -374,13 +374,13 @@ 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 512.000001 190.511628
|
||||
1 384.0 585.142862 585.142862 153.600004
|
||||
2 512.0 655.360017 585.142849 154.566038
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 614.400016 585.142862 153.600004
|
||||
2 512.0 655.360017 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 722.823517 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 198.834951
|
||||
93 12160.0 814.058574 406.179533 198.733401
|
||||
94 12288.0 814.111783 415.661740 199.096718
|
||||
95 12416.0 812.498981 412.149375 198.755369
|
||||
96 12544.0 812.566838 412.971190 199.012395
|
||||
@@ -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 18.756 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.286 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>
|
||||
|
||||
@@ -568,42 +568,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
<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:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 15.420235
|
||||
0 256.0 2.730667 ... 3.276800 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 39.025776 37.971025
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
5 896.0 39.025776 ... 40.140799 39.025776
|
||||
6 1024.0 51.150050 ... 53.773130 52.428801
|
||||
7 1152.0 45.242181 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 67.305878 66.485074
|
||||
10 1536.0 80.430545 ... 79.526831 78.643199
|
||||
11 1664.0 62.929456 ... 62.061463 62.061463
|
||||
12 1792.0 72.512412 ... 72.047592 71.588687
|
||||
13 1920.0 69.120002 ... 70.530615 70.530615
|
||||
14 2048.0 73.908442 ... 76.959706 76.959706
|
||||
15 2176.0 83.500614 ... 85.998493 85.632545
|
||||
16 2304.0 68.251065 ... 76.319081 76.563695
|
||||
17 2432.0 71.305746 ... 74.719317 84.877538
|
||||
18 2560.0 77.833728 ... 81.310171 80.908642
|
||||
19 2688.0 83.004501 ... 88.732296 89.044730
|
||||
20 2816.0 79.443003 ... 82.290955 83.074685
|
||||
21 2944.0 82.102191 ... 83.198715 82.373605
|
||||
22 3072.0 82.181572 ... 87.651868 82.661468
|
||||
23 3200.0 80.808083 ... 95.808380 94.955488
|
||||
24 3328.0 83.323259 ... 80.347427 84.596116
|
||||
25 3456.0 81.477080 ... 86.689860 90.281712
|
||||
26 3584.0 87.296493 ... 98.483450 93.564405
|
||||
27 3712.0 84.088676 ... 88.404730 86.791782
|
||||
28 3840.0 84.615146 ... 92.083268 84.102376
|
||||
29 3968.0 92.372393 ... 80.278903 84.299785
|
||||
30 4096.0 90.443212 ... 86.369197 89.538177
|
||||
12 1792.0 72.512412 ... 71.588687 71.588687
|
||||
13 1920.0 69.120002 ... 70.172588 70.530615
|
||||
14 2048.0 73.908442 ... 77.314362 76.959706
|
||||
15 2176.0 83.155572 ... 85.998493 85.632545
|
||||
16 2304.0 68.251065 ... 76.809875 76.563695
|
||||
17 2432.0 71.305746 ... 74.918570 84.877538
|
||||
18 2560.0 78.019048 ... 81.108913 81.108913
|
||||
19 2688.0 83.186525 ... 89.676257 89.044730
|
||||
20 2816.0 81.674548 ... 82.759409 83.392363
|
||||
21 2944.0 82.921853 ... 81.564701 82.237674
|
||||
22 3072.0 82.062468 ... 89.030036 88.197981
|
||||
23 3200.0 83.989503 ... 95.665176 94.814812
|
||||
24 3328.0 83.034941 ... 85.297742 82.939284
|
||||
25 3456.0 81.849303 ... 85.767626 90.281712
|
||||
26 3584.0 87.042978 ... 98.483450 92.505546
|
||||
27 3712.0 82.287760 ... 87.629253 86.791782
|
||||
28 3840.0 84.550462 ... 92.083268 85.399230
|
||||
29 3968.0 92.582651 ... 84.212518 90.926929
|
||||
30 4096.0 87.438257 ... 86.536250 91.678778
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 18.032 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.712 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
|
||||
|
||||
@@ -194,36 +194,36 @@ to download the full example code</p>
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
|
||||
N Triton Torch Apex
|
||||
0 1024.0 311.088617 99.096776 307.200008
|
||||
1 1536.0 351.085717 133.083026 338.201833
|
||||
2 2048.0 423.724127 162.217818 336.657521
|
||||
3 2560.0 461.954908 182.857144 328.556154
|
||||
4 3072.0 511.999982 191.501303 320.556515
|
||||
5 3584.0 554.941930 208.271186 308.301075
|
||||
0 1024.0 307.200008 99.096776 311.088617
|
||||
1 1536.0 351.085717 133.083026 341.333333
|
||||
2 2048.0 423.724127 162.217818 338.979315
|
||||
3 2560.0 461.954908 182.857144 330.322572
|
||||
4 3072.0 515.580429 191.501303 319.168834
|
||||
5 3584.0 554.941930 208.271186 307.199992
|
||||
6 4096.0 568.231237 220.412561 297.890900
|
||||
7 4608.0 498.162157 231.849059 287.251954
|
||||
8 5120.0 525.128191 242.845844 283.787523
|
||||
9 5632.0 538.517949 243.545956 290.683877
|
||||
10 6144.0 542.117638 248.661056 285.767458
|
||||
8 5120.0 525.128191 242.845844 286.433562
|
||||
9 5632.0 538.517949 243.107920 290.683877
|
||||
10 6144.0 544.118087 248.661056 285.767458
|
||||
11 6656.0 527.207907 256.000009 286.279570
|
||||
12 7168.0 505.976473 261.844750 288.160801
|
||||
13 7680.0 482.513091 260.707203 277.590365
|
||||
14 8192.0 460.440290 268.957600 286.183409
|
||||
15 8704.0 416.958106 267.815384 285.377055
|
||||
12 7168.0 507.469040 262.243907 288.160801
|
||||
13 7680.0 482.513091 260.707203 277.172933
|
||||
14 8192.0 460.440290 268.957600 286.600589
|
||||
15 8704.0 416.958106 267.815384 284.987724
|
||||
16 9216.0 428.651187 272.729961 289.507855
|
||||
17 9728.0 439.683593 280.278512 288.950501
|
||||
18 10240.0 447.650282 286.767793 290.496460
|
||||
17 9728.0 438.857162 280.278512 288.950501
|
||||
18 10240.0 447.650282 286.433562 290.496460
|
||||
19 10752.0 430.079980 246.464170 290.267711
|
||||
20 11264.0 429.104745 245.091565 285.767446
|
||||
21 11776.0 421.198220 249.447482 288.686414
|
||||
22 12288.0 420.102570 254.453844 295.207195
|
||||
23 12800.0 415.696898 253.465340 288.721817
|
||||
24 13312.0 412.242569 252.559690 290.179836
|
||||
25 13824.0 405.098897 257.590056 292.571423
|
||||
21 11776.0 421.198220 249.227509 288.686414
|
||||
22 12288.0 420.102570 254.344118 294.911986
|
||||
23 12800.0 415.135142 253.465340 289.811310
|
||||
24 13312.0 412.242569 252.360194 290.179836
|
||||
25 13824.0 405.098897 257.190689 292.571423
|
||||
26 14336.0 397.761846 254.673567 286.481278
|
||||
27 14848.0 384.414233 257.108233 289.246765
|
||||
28 15360.0 374.253788 257.790220 287.550706
|
||||
29 15872.0 366.982663 262.890274 291.229369
|
||||
28 15360.0 374.634130 257.790220 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>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 12.525 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 10.850 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<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>12:26.718</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:42.818</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,19 +183,19 @@
|
||||
</colgroup>
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
|
||||
<td><p>05:18.032</p></td>
|
||||
<td><p>05:24.712</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
|
||||
<td><p>03:18.756</p></td>
|
||||
<td><p>03:23.286</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>02:12.525</p></td>
|
||||
<td><p>02:10.850</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>01:37.395</p></td>
|
||||
<td><p>01:43.959</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>
|
||||
|
||||
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Reference in New Issue
Block a user