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[GH-PAGES] Updated website

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Philippe Tillet
2022-04-24 00:44:07 +00:00
parent 31dd4ab60e
commit 1581cf9d79
158 changed files with 328 additions and 328 deletions
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8
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -241,13 +241,13 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 702.171410
10 4194304.0 780.190482 780.190482
9 2097152.0 702.171410 702.171410
10 4194304.0 780.190482 768.000002
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 842.004273 842.004273
14 67108864.0 847.448255 848.362445
15 134217728.0 850.196756 850.656574
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 52.088 seconds)
**Total running time of the script:** ( 1 minutes 48.554 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

22
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 190.511628
1 384.0 585.142862 558.545450 149.853661
2 512.0 655.360017 585.142849 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 646.736871 162.754967
0 256.0 512.000001 546.133347 186.181817
1 384.0 438.857137 558.545450 151.703707
2 512.0 468.114273 585.142849 154.566038
3 640.0 465.454542 640.000002 158.759699
4 768.0 472.615390 664.216187 163.839992
.. ... ... ... ...
93 12160.0 815.765209 405.755985 198.631953
94 12288.0 814.111783 416.101597 198.794749
95 12416.0 815.835709 412.149375 198.457532
96 12544.0 814.214963 412.971190 198.618504
97 12672.0 814.265046 412.097543 198.776477
93 12160.0 478.034381 405.333344 198.834951
94 12288.0 484.256150 415.222812 199.096718
95 12416.0 461.454135 411.296057 198.755369
96 12544.0 458.228323 412.971190 198.815254
97 12672.0 458.196617 411.679167 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 32.198 seconds)
**Total running time of the script:** ( 3 minutes 10.849 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

60
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -459,36 +459,36 @@ 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 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
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 31.597714 ... 34.028308 34.028308
5 896.0 36.971791 ... 40.140799 39.025776
6 1024.0 48.770977 ... 52.428801 52.428801
7 1152.0 43.911529 ... 46.656000 46.656000
8 1280.0 49.951220 ... 56.888887 56.109587
9 1408.0 62.664092 ... 67.305878 66.485074
10 1536.0 78.643199 ... 78.643199 77.778988
11 1664.0 61.636381 ... 62.061463 61.636381
12 1792.0 71.588687 ... 67.707374 67.707374
13 1920.0 67.764707 ... 70.172588 69.818184
14 2048.0 72.005219 ... 76.608294 76.260072
15 2176.0 81.803444 ... 85.632545 85.269692
16 2304.0 67.100763 ... 76.563695 76.319081
17 2432.0 69.886725 ... 74.323979 73.932798
18 2560.0 76.382283 ... 80.908642 80.511054
19 2688.0 82.642823 ... 89.676257 89.254248
20 2816.0 82.602666 ... 82.916747 82.759409
21 2944.0 81.166173 ... 82.509987 82.169877
22 3072.0 81.005868 ... 88.197981 88.060814
23 3200.0 83.660130 ... 95.522391 95.096582
24 3328.0 82.369902 ... 84.795401 84.596116
25 3456.0 81.026701 ... 91.304157 90.994998
26 3584.0 86.374055 ... 98.699661 98.375705
27 3712.0 84.874549 ... 88.876645 88.483034
28 3840.0 84.036474 ... 92.545605 92.159996
29 3968.0 92.232760 ... 91.062642 91.403695
30 4096.0 93.206754 ... 93.012976 92.820009
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 40.140799
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 67.305878
10 1536.0 79.526831 ... 79.526831 79.526831
11 1664.0 62.929456 ... 62.929456 62.492442
12 1792.0 72.512412 ... 63.142831 62.790080
13 1920.0 69.120002 ... 71.626943 70.892307
14 2048.0 73.584279 ... 78.033565 77.672296
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 78.064941 77.558029
17 2432.0 71.125224 ... 75.522751 75.320281
18 2560.0 77.833728 ... 82.331658 81.920002
19 2688.0 83.645109 ... 90.102270 90.102270
20 2816.0 80.026067 ... 83.712490 81.981598
21 2944.0 82.509987 ... 82.852924 82.646820
22 3072.0 82.540970 ... 86.845249 89.593522
23 3200.0 84.993363 ... 96.240602 96.096095
24 3328.0 83.034941 ... 83.905938 82.843841
25 3456.0 81.849303 ... 89.679166 90.382926
26 3584.0 85.797134 ... 93.467144 98.483450
27 3712.0 85.748791 ... 86.754095 88.170647
28 3840.0 81.798814 ... 87.841141 91.473945
29 3968.0 85.871877 ... 92.582651 84.738843
30 4096.0 94.386588 ... 84.894196 82.722796
[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 41.514 seconds)
**Total running time of the script:** ( 6 minutes 44.900 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 0.411 seconds)
**Total running time of the script:** ( 0 minutes 0.325 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 1024.0 356.173905 96.755900 299.707322
1 1536.0 400.695643 133.083026 338.201833
2 2048.0 486.653476 159.584422 321.254900
3 2560.0 455.111129 179.649115 323.368411
4 3072.0 508.468972 191.005181 320.556515
5 3584.0 551.384634 206.769233 310.527060
6 4096.0 558.545450 219.919464 297.890900
7 4608.0 493.714279 231.364016 285.767436
8 5120.0 518.481012 241.414550 283.133649
9 5632.0 534.260858 241.803217 288.820505
10 6144.0 540.131844 247.409397 285.214712
11 6656.0 525.473708 255.182111 284.748652
12 7168.0 503.017523 259.084340 283.881181
13 7680.0 482.513091 262.190612 275.104486
14 8192.0 463.698115 265.686491 283.296835
15 8704.0 406.412440 266.789264 283.826081
16 9216.0 419.703988 270.727053 287.251954
17 9728.0 428.388977 279.942444 288.950501
18 10240.0 437.295395 285.104413 286.767793
19 10752.0 424.421071 245.292781 289.291486
20 11264.0 423.724120 244.426754 286.069848
21 11776.0 418.702211 247.915800 288.097854
22 12288.0 414.784810 253.578674 293.737063
23 12800.0 409.327110 252.631590 287.371378
24 13312.0 408.030638 252.360194 289.653667
25 13824.0 403.620451 256.197690 291.287079
26 14336.0 394.116833 253.921779 286.242939
27 14848.0 384.829370 257.108233 289.246765
28 15360.0 380.041240 257.071134 284.884090
29 15872.0 370.913333 260.731015 289.679087
0 1024.0 114.306981 98.698793 315.076934
1 1536.0 118.153850 132.604320 341.333333
2 2048.0 125.068704 159.584422 332.108094
3 2560.0 119.300966 180.705883 332.108113
4 3072.0 123.912607 191.005181 320.556515
5 3584.0 127.809806 207.267476 310.527060
6 4096.0 130.723400 220.907859 296.990947
7 4608.0 105.325718 232.336141 287.999990
8 5120.0 108.647215 241.414550 283.787523
9 5632.0 109.714290 241.371422 288.204696
10 6144.0 112.133840 249.502530 287.438593
11 6656.0 112.733948 254.775119 285.257135
12 7168.0 114.994654 257.147993 281.098038
13 7680.0 115.128047 264.068761 281.834874
14 8192.0 115.856217 267.493874 282.889211
15 8704.0 94.054934 264.091015 282.673891
16 9216.0 96.755908 271.391419 287.625496
17 9728.0 97.768843 280.615388 288.950501
18 10240.0 100.105904 285.104413 289.129408
19 10752.0 101.036809 246.464170 290.594591
20 11264.0 102.945926 245.536784 286.676558
21 11776.0 103.601171 249.447482 288.981596
22 12288.0 106.159829 254.673582 294.911986
23 12800.0 106.187352 253.884294 289.811310
24 13312.0 107.463167 251.962147 289.129403
25 13824.0 107.544896 256.792581 292.313649
26 14336.0 109.435116 254.673567 287.198654
27 14848.0 109.276912 255.266469 289.481735
28 15360.0 110.669469 260.338991 290.496454
29 15872.0 110.863792 263.071829 291.898841
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 16.519 seconds)
**Total running time of the script:** ( 2 minutes 2.489 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
=================
**14:22.730** total execution time for **getting-started_tutorials** files:
**13:47.116** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.514 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:44.900 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.198 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:10.849 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:16.519 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:02.489 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:52.088 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:48.554 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.411 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.325 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+