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[GH-PAGES] Updated website

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Philippe Tillet
2022-02-28 00:41:59 +00:00
parent a64f41ab97
commit 11bcbd3d04
156 changed files with 276 additions and 276 deletions
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8
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -235,17 +235,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
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
5 131072.0 219.428568 219.428568
6 262144.0 341.333321 341.333321
6 262144.0 341.333321 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
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
13 33554432.0 842.004273 842.004273
13 33554432.0 842.004273 843.811163
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 40.635 seconds)
**Total running time of the script:** ( 1 minutes 45.983 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

14
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)
0 256.0 512.000001 546.133347 192.752942
0 256.0 512.000001 546.133347 190.511628
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.530610
94 12288.0 814.111783 415.661740 198.895304
95 12416.0 814.163950 412.149375 198.457532
96 12544.0 814.214963 412.971190 198.618504
97 12672.0 814.265046 411.679167 198.776477
93 12160.0 814.058574 405.755985 198.834951
94 12288.0 814.111783 415.661740 199.096718
95 12416.0 814.163950 411.722274 198.755369
96 12544.0 814.214963 412.971190 198.913776
97 12672.0 814.265046 412.097543 199.069228
[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 21.561 seconds)
**Total running time of the script:** ( 3 minutes 22.256 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

52
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 ... 3.276800 3.276800
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 16.384000 16.384000
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
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 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 52.428801 52.428801
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 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 68.776119 ... 70.172588 69.818184
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.446623 ... 76.319081 76.319081
17 2432.0 71.487187 ... 74.918570 84.621881
18 2560.0 77.833728 ... 81.108913 80.908642
19 2688.0 83.737433 ... 89.888756 89.676257
20 2816.0 82.290955 ... 82.916747 82.602666
21 2944.0 82.102191 ... 79.865439 82.921853
22 3072.0 81.355034 ... 87.516392 86.184329
23 3200.0 83.224970 ... 90.909090 89.260810
24 3328.0 80.798314 ... 83.226931 84.596116
25 3456.0 82.266905 ... 90.382926 90.994998
26 3584.0 84.111686 ... 92.600816 94.448944
27 3712.0 85.528545 ... 85.163978 88.170647
28 3840.0 80.197243 ... 86.197974 91.473945
29 3968.0 85.991957 ... 90.791620 85.093402
30 4096.0 92.852115 ... 82.493991 82.241256
10 1536.0 79.526831 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.492442
12 1792.0 72.983276 ... 72.047592 72.047592
13 1920.0 69.467336 ... 70.172588 69.818184
14 2048.0 73.262953 ... 76.608294 76.608294
15 2176.0 83.500614 ... 86.367588 85.632545
16 2304.0 68.446623 ... 76.809875 76.809875
17 2432.0 71.396351 ... 83.614477 85.393507
18 2560.0 78.019048 ... 81.108913 80.709358
19 2688.0 83.737433 ... 89.676257 89.676257
20 2816.0 82.135981 ... 82.916747 82.916747
21 2944.0 82.237674 ... 82.237674 82.102191
22 3072.0 80.089253 ... 88.473602 88.335577
23 3200.0 83.116885 ... 95.238096 95.380032
24 3328.0 82.369902 ... 84.003845 84.200347
25 3456.0 80.220468 ... 86.503829 87.536988
26 3584.0 86.457107 ... 98.268190 98.268190
27 3712.0 80.757757 ... 87.783251 84.946722
28 3840.0 83.027026 ... 90.574940 84.613126
29 3968.0 87.976885 ... 85.212248 87.035620
30 4096.0 91.992956 ... 92.755862 86.092193
[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:** ( 6 minutes 0.809 seconds)
**Total running time of the script:** ( 6 minutes 2.552 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

2
master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
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@@ -240,7 +240,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.493 seconds)
**Total running time of the script:** ( 0 minutes 0.483 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

62
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 1024.0 311.088617 98.303995 307.200008
1 1536.0 347.773587 134.050910 344.523365
2 2048.0 420.102553 161.684218 334.367350
3 2560.0 455.111129 181.775141 328.556154
4 3072.0 511.999982 192.501302 321.956335
5 3584.0 547.872604 208.271186 311.652167
6 4096.0 568.231237 220.412561 297.890900
7 4608.0 504.986315 233.316456 287.251954
8 5120.0 527.381977 242.845844 285.104413
9 5632.0 545.032265 243.545956 289.438969
10 6144.0 546.133354 248.661056 286.322318
11 6656.0 534.260858 256.000009 286.279570
12 7168.0 505.976473 260.654538 286.242939
13 7680.0 482.513091 262.564106 279.272719
14 8192.0 463.698115 267.493874 284.526763
15 8704.0 418.629245 267.815384 284.987724
16 9216.0 432.845409 272.394084 288.751954
17 9728.0 438.857162 280.446849 290.027323
18 10240.0 449.287041 286.767793 290.840246
19 10752.0 426.525614 247.172406 290.922209
20 11264.0 427.071098 245.760001 286.676558
21 11776.0 423.724129 249.888595 288.981596
22 12288.0 420.102570 254.673582 294.617366
23 12800.0 413.458944 253.674644 288.450715
24 13312.0 411.711355 252.759501 289.916513
25 13824.0 405.594132 257.390218 292.056329
26 14336.0 395.021816 254.297107 286.719986
27 14848.0 386.498925 257.665934 289.246765
28 15360.0 373.117425 257.970599 287.326580
29 15872.0 371.274849 261.806182 289.899545
0 1024.0 307.200008 99.902435 311.088617
1 1536.0 351.085717 133.083026 341.333333
2 2048.0 423.724127 159.067963 321.254900
3 2560.0 451.764698 182.857144 323.368411
4 3072.0 515.580429 191.501303 319.168834
5 3584.0 551.384634 208.271186 310.527060
6 4096.0 568.231237 220.412561 299.707322
7 4608.0 504.986315 232.825259 286.507772
8 5120.0 531.948056 244.294240 286.433562
9 5632.0 542.843364 244.869560 291.939522
10 6144.0 552.269672 251.631408 288.000001
11 6656.0 537.858601 255.590406 286.793541
12 7168.0 516.612607 254.485198 278.368936
13 7680.0 487.619051 266.743841 284.884090
14 8192.0 467.002371 257.003920 276.912679
15 8704.0 418.629245 267.815384 286.158893
16 9216.0 432.000001 273.404206 289.887291
17 9728.0 442.181815 280.615388 289.667485
18 10240.0 448.467168 287.102804 290.840246
19 10752.0 428.651173 246.464170 289.616170
20 11264.0 427.746848 246.432094 286.980888
21 11776.0 421.826879 249.888595 288.981596
22 12288.0 417.131525 254.893699 294.617366
23 12800.0 415.696898 253.674644 290.359162
24 13312.0 410.125805 252.559690 289.653667
25 13824.0 402.640783 257.190689 292.056329
26 14336.0 396.387109 255.240352 289.129416
27 14848.0 383.174202 257.293872 287.844912
28 15360.0 374.253788 258.513318 286.879376
29 15872.0 368.402336 262.347108 290.120338
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.386 seconds)
**Total running time of the script:** ( 2 minutes 11.369 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

12
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,16 +5,16 @@
Computation times
=================
**13:15.884** total execution time for **getting-started_tutorials** files:
**13:22.642** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.809 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.552 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.561 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.256 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.386 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.369 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.635 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.983 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.493 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.483 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+