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[GH-PAGES] Updated website

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Philippe Tillet
2022-07-21 00:49:23 +00:00
parent ec25d931b6
commit 10f1d77697
163 changed files with 256 additions and 256 deletions
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4
v1.1.2/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -240,7 +240,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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 702.171410
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
@@ -254,7 +254,7 @@ 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 43.508 seconds)
**Total running time of the script:** ( 1 minutes 43.622 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

20
v1.1.2/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -286,17 +286,17 @@ 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 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 512.000001 186.181817
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 153.121496
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
4 768.0 722.823517 664.216187 161.684218
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.936606
94 12288.0 814.111783 415.661740 199.197579
95 12416.0 812.498981 412.149375 198.854847
96 12544.0 812.566838 412.546756 199.111113
97 12672.0 812.633240 412.097543 199.167004
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 814.111783 415.661740 198.694297
95 12416.0 812.498981 412.149375 198.407990
96 12544.0 812.566838 412.546756 198.618504
97 12672.0 812.633240 412.097543 198.679085
[98 rows x 4 columns]
@@ -314,7 +314,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 3 minutes 23.971 seconds)
**Total running time of the script:** ( 3 minutes 22.734 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

40
v1.1.2/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -463,36 +463,36 @@ 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 2.730667 ... 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 ... 15.420235 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 ... 53.773130 52.428801
6 1024.0 51.150050 ... 52.428801 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 63.372618 ... 62.492442 62.061463
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.172588 70.172588
14 2048.0 73.584279 ... 76.959706 76.608294
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.251065 ... 76.809875 76.563695
13 1920.0 69.120002 ... 70.530615 70.530615
14 2048.0 73.908442 ... 77.314362 76.959706
15 2176.0 83.500614 ... 85.998493 85.632545
16 2304.0 68.056616 ... 76.563695 76.563695
17 2432.0 71.125224 ... 74.918570 84.877538
18 2560.0 77.833728 ... 81.310171 80.709358
19 2688.0 83.552988 ... 89.888756 89.464755
20 2816.0 81.981598 ... 83.712490 83.392363
21 2944.0 82.373605 ... 83.337844 82.102191
22 3072.0 82.540970 ... 88.960098 89.451983
23 3200.0 84.656085 ... 96.168294 95.522391
24 3328.0 83.516586 ... 84.003845 84.695641
25 3456.0 82.435141 ... 91.200871 87.536988
26 3584.0 87.381330 ... 91.007486 95.249353
27 3712.0 85.748791 ... 87.094458 88.092894
28 3840.0 85.136259 ... 92.390975 86.332554
29 3968.0 93.219206 ... 85.811488 91.266964
30 4096.0 86.536250 ... 84.733417 92.150858
18 2560.0 77.833728 ... 81.310171 80.908642
19 2688.0 83.737433 ... 90.316801 89.254248
20 2816.0 80.173175 ... 83.712490 83.392363
21 2944.0 82.237674 ... 82.784108 83.060049
22 3072.0 82.661468 ... 87.855861 88.750943
23 3200.0 83.224970 ... 91.954023 92.485553
24 3328.0 81.622783 ... 84.895397 84.695641
25 3456.0 82.350937 ... 91.304157 87.536988
26 3584.0 86.540320 ... 98.808123 95.654673
27 3712.0 82.355598 ... 88.015279 85.822459
28 3840.0 84.744825 ... 92.545605 88.261772
29 3968.0 92.758598 ... 84.096442 91.472214
30 4096.0 87.466748 ... 87.781379 92.150858
[31 rows x 5 columns]
@@ -502,7 +502,7 @@ 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 20.277 seconds)
**Total running time of the script:** ( 5 minutes 22.824 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

52
v1.1.2/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -40,34 +40,34 @@ Layer Normalization
N Triton Torch Apex
0 1024.0 307.200008 99.096776 307.200008
1 1536.0 351.085717 133.083026 338.201833
2 2048.0 420.102553 161.684218 336.657521
3 2560.0 461.954908 182.857144 328.556154
4 3072.0 511.999982 191.501303 319.168834
5 3584.0 551.384634 207.768111 308.301075
6 4096.0 564.965515 220.412561 298.796351
7 4608.0 495.928261 231.849059 286.507772
8 5120.0 522.893618 242.845844 283.787523
9 5632.0 536.380957 243.107920 291.310338
10 6144.0 542.117638 248.661056 286.322318
11 6656.0 525.473708 256.000009 286.279570
12 7168.0 505.976473 261.844750 288.160801
13 7680.0 482.513091 260.338991 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
2 2048.0 420.102553 162.217818 327.679984
3 2560.0 461.954908 182.857144 326.808501
4 3072.0 511.999982 191.501303 317.793096
5 3584.0 554.941930 208.271186 308.301075
6 4096.0 568.231237 220.412561 294.323343
7 4608.0 495.928261 231.364016 291.799469
8 5120.0 525.128191 242.845844 287.775181
9 5632.0 538.517949 243.107920 290.683877
10 6144.0 544.118087 248.661056 286.322318
11 6656.0 527.207907 256.410903 286.279570
12 7168.0 505.976473 262.243907 288.644296
13 7680.0 481.253256 260.707203 276.756754
14 8192.0 460.440290 269.326017 287.018988
15 8704.0 416.958106 267.815384 284.599455
16 9216.0 428.651187 273.066667 289.507855
17 9728.0 438.857162 280.278512 288.950501
18 10240.0 446.836366 286.433562 290.153487
19 10752.0 428.651173 246.464170 290.267711
19 10752.0 429.364408 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 294.911986
23 12800.0 415.135142 253.256381 289.811310
24 13312.0 412.242569 252.559690 290.179836
25 13824.0 404.604870 257.190689 292.571423
26 14336.0 397.761846 254.862216 286.481278
27 14848.0 384.414233 257.108233 289.012175
28 15360.0 374.253788 257.610071 287.326580
29 15872.0 366.982663 262.890274 291.229369
21 11776.0 421.198220 249.227509 288.686414
22 12288.0 420.102570 254.234486 294.911986
23 12800.0 415.696898 253.465340 288.180121
24 13312.0 412.242569 252.959629 290.179836
25 13824.0 404.604870 257.390218 292.571423
26 14336.0 397.761846 254.673567 286.481278
27 14848.0 384.414233 257.293872 289.012175
28 15360.0 374.634130 257.610071 286.433562
29 15872.0 366.982663 262.708969 291.229369
@@ -329,7 +329,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.641 seconds)
**Total running time of the script:** ( 2 minutes 12.942 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

10
v1.1.2/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,16 +5,16 @@
Computation times
=================
**12:40.407** total execution time for **getting-started_tutorials** files:
**12:42.133** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:20.277 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:22.824 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:23.971 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.734 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.641 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.942 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.508 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.622 | 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 |
+---------------------------------------------------------------------------------------------------------+-----------+--------+