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Philippe Tillet
2022-02-10 00:39:39 +00:00
parent 5bffdf9c89
commit 30f8e01add
156 changed files with 282 additions and 282 deletions
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: c24d43c3d9203b5bc4a3756159b70958
config: bce1be3691c7f89ed1b8fc62439dfb46
tags: 645f666f9bcd5a90fca523b33c5a78b7

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master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 1 minutes 36.291 seconds)
**Total running time of the script:** ( 1 minutes 43.473 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 546.133347 546.133347 190.511628
1 384.0 585.142862 585.142862 153.600004
2 512.0 655.360017 585.142849 156.038096
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 163.839992
0 256.0 512.000001 546.133347 188.321838
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2 512.0 655.360017 606.814814 154.566038
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4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.936606
94 12288.0 814.111783 415.661740 198.995960
95 12416.0 814.163950 411.722274 198.755369
96 12544.0 814.214963 412.971190 198.913776
97 12672.0 814.265046 412.516771 199.069228
93 12160.0 815.765209 406.179533 198.936606
94 12288.0 814.111783 415.661740 199.197579
95 12416.0 814.163950 412.149375 198.755369
96 12544.0 814.214963 412.971190 199.012395
97 12672.0 814.265046 412.097543 198.971549
[98 rows x 4 columns]
@@ -306,7 +306,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 3 minutes 20.551 seconds)
**Total running time of the script:** ( 3 minutes 21.420 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -458,37 +458,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.978909 ... 2.978909 3.276800
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 16.384000
2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 80.430545 ... 79.526831 79.526831
11 1664.0 62.929456 ... 62.492442 62.061463
11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 69.120002 ... 70.172588 70.530615
14 2048.0 73.584279 ... 76.959706 76.608294
15 2176.0 83.155572 ... 86.367588 85.269692
16 2304.0 68.446623 ... 77.057651 76.076024
17 2432.0 71.305746 ... 84.367759 85.134737
18 2560.0 78.019048 ... 80.908642 80.709358
19 2688.0 83.369354 ... 89.676257 89.254248
20 2816.0 79.733474 ... 83.392363 83.233226
21 2944.0 81.967162 ... 82.237674 82.102191
22 3072.0 81.825298 ... 88.612060 88.473602
23 3200.0 84.880639 ... 95.096582 95.096582
24 3328.0 83.808259 ... 84.101981 83.905938
25 3456.0 78.655188 ... 85.950501 88.400840
26 3584.0 87.296493 ... 97.628001 98.268190
27 3712.0 80.757757 ... 88.326564 85.822459
28 3840.0 83.027026 ... 91.059692 84.613126
29 3968.0 90.724116 ... 87.347124 90.791620
30 4096.0 86.313653 ... 86.424811 91.056800
13 1920.0 69.467336 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.251065 ... 76.319081 76.809875
17 2432.0 71.487187 ... 74.521127 84.877538
18 2560.0 78.019048 ... 81.310171 81.108913
19 2688.0 83.369354 ... 89.254248 89.676257
20 2816.0 83.392363 ... 82.135981 83.392363
21 2944.0 81.967162 ... 81.967162 81.698415
22 3072.0 80.659693 ... 88.750943 88.750943
23 3200.0 84.432717 ... 94.955488 95.096582
24 3328.0 82.939284 ... 84.695641 81.254285
25 3456.0 80.300370 ... 82.435141 88.497878
26 3584.0 83.177979 ... 88.586589 94.947616
27 3712.0 85.675250 ... 89.035062 87.170458
28 3840.0 78.433173 ... 84.355978 91.511791
29 3968.0 86.849777 ... 90.791620 84.040329
30 4096.0 93.077479 ... 86.480498 83.365047
[31 rows x 5 columns]
@@ -498,7 +498,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 56.072 seconds)
**Total running time of the script:** ( 6 minutes 1.040 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 307.200008 99.902435 307.200008
1 1536.0 351.085717 135.032961 341.333333
2 2048.0 420.102553 162.754967 327.679984
3 2560.0 458.507457 182.857144 330.322572
4 3072.0 515.580429 191.501303 319.168834
5 3584.0 547.872604 207.768111 311.652167
6 4096.0 568.231237 221.905193 301.546004
7 4608.0 504.986315 232.336141 287.999990
8 5120.0 531.948056 242.366855 285.104413
9 5632.0 538.517949 243.545956 290.683877
10 6144.0 546.133354 250.349744 288.000001
11 6656.0 536.053693 256.000009 286.279570
12 7168.0 510.480705 252.988236 277.024148
13 7680.0 482.513091 267.130429 284.444450
14 8192.0 463.698115 269.326017 282.482757
15 8704.0 417.791980 264.425310 282.673891
16 9216.0 431.157889 274.762727 291.031570
17 9728.0 439.683593 281.630872 290.027323
18 10240.0 446.025405 286.100109 289.811322
19 10752.0 425.120247 246.935876 289.941565
20 11264.0 425.056596 243.765566 283.371073
21 11776.0 423.089806 249.888595 289.129414
22 12288.0 421.302872 254.673582 295.207195
23 12800.0 414.574901 254.515329 290.909089
24 13312.0 414.381327 253.561895 289.129403
25 13824.0 406.090579 257.790206 293.088338
26 14336.0 394.116833 256.381525 290.349381
27 14848.0 385.245405 255.999999 287.844912
28 15360.0 376.932517 262.751252 291.184839
29 15872.0 370.913333 262.166551 291.118085
0 1024.0 307.200008 98.303995 307.200008
1 1536.0 347.773587 134.540150 341.333333
2 2048.0 420.102553 161.684218 325.509933
3 2560.0 458.507457 181.775141 325.079368
4 3072.0 511.999982 192.501302 320.556515
5 3584.0 551.384634 208.271186 311.652167
6 4096.0 568.231237 220.412561 299.707322
7 4608.0 507.302750 232.825259 287.999990
8 5120.0 529.655159 242.845844 287.775181
9 5632.0 545.032265 243.545956 289.438969
10 6144.0 548.163546 248.661056 286.879370
11 6656.0 534.260858 256.000009 285.767438
12 7168.0 507.469040 260.654538 286.242939
13 7680.0 479.999983 262.564106 278.850215
14 8192.0 462.607053 267.493874 284.939124
15 8704.0 417.791980 267.815384 284.599455
16 9216.0 431.157889 272.729961 289.129410
17 9728.0 439.683593 280.278512 290.027323
18 10240.0 450.109870 286.433562 290.153487
19 10752.0 426.525614 247.172406 290.922209
20 11264.0 427.071098 245.760001 286.676558
21 11776.0 423.089806 249.888595 288.981596
22 12288.0 419.504980 254.673582 294.323369
23 12800.0 414.016170 253.674644 288.180121
24 13312.0 411.181478 252.759501 289.916513
25 13824.0 404.112047 257.190689 292.056329
26 14336.0 393.215988 254.485198 286.719986
27 14848.0 385.245405 257.665934 289.246765
28 15360.0 373.874218 257.970599 286.211174
29 15872.0 370.913333 261.806182 289.899545
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 11.560 seconds)
**Total running time of the script:** ( 2 minutes 12.002 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

10
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,16 +5,16 @@
Computation times
=================
**13:04.956** total execution time for **getting-started_tutorials** files:
**13:18.417** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.072 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:01.040 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:20.551 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.420 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.560 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.002 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:36.291 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.473 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.482 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

4
master/getting-started/tutorials/01-vector-add.html
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@@ -335,12 +335,12 @@ for different problem sizes.</p>
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13 33554432.0 842.004273 843.811163
14 67108864.0 847.448255 848.362445
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 36.291 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 43.473 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>

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master/getting-started/tutorials/02-fused-softmax.html
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@@ -369,17 +369,17 @@ 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)
0 256.0 546.133347 546.133347 190.511628
1 384.0 585.142862 585.142862 153.600004
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