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[GH-PAGES] Updated website

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Philippe Tillet
2022-04-10 00:41:56 +00:00
parent 226c24346e
commit be39c1e8bc
156 changed files with 292 additions and 292 deletions
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12
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -240,19 +240,19 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 4.800000 9.600000
1 8192.0 9.600000 19.200000
2 16384.0 17.454545 38.400001
3 32768.0 34.909091 63.999998
3 32768.0 34.909091 76.800002
4 65536.0 69.818181 127.999995
5 131072.0 139.636363 219.428568
6 262144.0 236.307695 384.000001
6 262144.0 219.428568 341.333321
7 524288.0 361.411758 472.615390
8 1048576.0 472.615390 614.400016
9 2097152.0 599.414644 702.171410
10 4194304.0 712.347810 780.190482
11 8388608.0 774.047204 812.429770
10 4194304.0 702.171410 780.190482
11 8388608.0 768.000002 812.429770
12 16777216.0 812.429770 833.084721
13 33554432.0 831.323480 842.004273
14 67108864.0 841.103727 848.362445
15 134217728.0 846.080710 850.656574
15 134217728.0 845.625825 850.656574
@@ -260,7 +260,7 @@ 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 38.540 seconds)
**Total running time of the script:** ( 1 minutes 34.363 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

18
master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -279,16 +279,16 @@ 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 188.321838
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 156.038096
3 640.0 682.666684 640.000002 160.000000
1 384.0 585.142862 585.142862 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 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 412.149375 198.755369
96 12544.0 814.214963 412.971190 198.913776
97 12672.0 814.265046 412.097543 199.069228
93 12160.0 814.058574 405.755985 198.733401
94 12288.0 814.111783 415.661740 198.895304
95 12416.0 814.163950 412.149375 198.655991
96 12544.0 814.214963 412.971190 198.815254
97 12672.0 814.265046 412.097543 198.873965
[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 26.985 seconds)
**Total running time of the script:** ( 3 minutes 26.378 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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@@ -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 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 40.140799
6 1024.0 49.932191 ... 53.773130 53.773130
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 58.514284 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 80.430545 80.430545
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 47.396572 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 68.147202
10 1536.0 79.526831 ... 80.430545 80.430545
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 69.467336 ... 71.257735 71.257735
12 1792.0 72.983276 ... 63.142831 63.142831
13 1920.0 69.120002 ... 71.626943 70.892307
14 2048.0 73.908442 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.446623 ... 77.810656 77.307030
17 2432.0 71.125224 ... 75.522751 75.118889
18 2560.0 77.833728 ... 82.331658 81.715711
19 2688.0 83.552988 ... 90.102270 90.748936
20 2816.0 79.587973 ... 83.552120 83.552120
21 2944.0 82.237674 ... 82.646820 82.784108
22 3072.0 82.181572 ... 89.310890 87.246694
23 3200.0 78.817733 ... 96.240602 96.096095
24 3328.0 82.939284 ... 85.602017 85.806075
25 3456.0 78.655188 ... 92.086311 90.994998
26 3584.0 83.101104 ... 90.276496 95.249353
27 3712.0 85.675250 ... 85.091436 89.114488
28 3840.0 79.562590 ... 91.322872 85.136259
29 3968.0 93.076994 ... 79.133552 85.510815
30 4096.0 87.666706 ... 92.723821 87.267706
15 2176.0 83.155572 ... 87.115360 86.367588
16 2304.0 68.251065 ... 77.307030 77.307030
17 2432.0 71.125224 ... 75.522751 75.320281
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 82.106182 ... 90.966561 90.102270
20 2816.0 80.026067 ... 79.806423 83.392363
21 2944.0 81.166173 ... 83.337844 83.060049
22 3072.0 80.316458 ... 88.750943 87.246694
23 3200.0 79.651524 ... 96.168294 96.676741
24 3328.0 83.034941 ... 85.602017 82.843841
25 3456.0 79.430113 ... 92.033756 84.508982
26 3584.0 84.905939 ... 88.236146 94.548254
27 3712.0 85.455380 ... 85.565182 84.946722
28 3840.0 84.744825 ... 92.895423 85.533390
29 3968.0 91.472214 ... 84.856701 92.093539
30 4096.0 86.591209 ... 94.121827 86.035284
[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 12.272 seconds)
**Total running time of the script:** ( 6 minutes 11.287 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 0.012 seconds)
**Total running time of the script:** ( 0 minutes 0.014 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

58
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 1024.0 361.411758 99.902435 315.076934
1 1536.0 409.599994 134.050910 344.523365
2 2048.0 491.520012 159.067963 332.108094
3 2560.0 461.954908 182.857144 330.322572
4 3072.0 519.211251 191.501303 317.793096
5 3584.0 554.941930 207.768111 310.527060
6 4096.0 561.737163 220.907859 299.707322
7 4608.0 502.690905 232.336141 288.751954
8 5120.0 527.381977 243.809526 289.129408
9 5632.0 540.671974 244.869560 291.310338
10 6144.0 550.208948 251.202731 287.438593
11 6656.0 532.479975 255.590406 286.793541
12 7168.0 510.480705 253.360829 277.470965
13 7680.0 487.619051 266.743841 285.325090
14 8192.0 468.114289 258.354805 278.087683
15 8704.0 414.476194 267.815384 285.377055
0 1024.0 356.173905 99.902435 315.076934
1 1536.0 405.098894 134.050910 344.523365
2 2048.0 491.520012 159.067963 334.367350
3 2560.0 458.507457 182.314537 330.322572
4 3072.0 519.211251 191.501303 321.956335
5 3584.0 554.941930 207.768111 309.410081
6 4096.0 568.231237 220.907859 299.707322
7 4608.0 502.690905 232.336141 287.251954
8 5120.0 527.381977 243.809526 286.433562
9 5632.0 540.671974 244.426754 291.939522
10 6144.0 550.208948 251.202731 288.000001
11 6656.0 530.710976 255.590406 286.793541
12 7168.0 510.480705 253.734520 277.470965
13 7680.0 487.619051 266.358392 284.884090
14 8192.0 468.114289 258.354805 278.481578
15 8704.0 414.476194 267.472468 285.377055
16 9216.0 431.157889 272.394084 289.887291
17 9728.0 438.857162 279.942444 288.950501
18 10240.0 442.810829 287.438599 290.496460
17 9728.0 438.033784 279.942444 288.950501
18 10240.0 442.810829 287.102804 290.153487
19 10752.0 427.231788 246.699797 289.941565
20 11264.0 427.071098 245.536784 286.069848
21 11776.0 419.946507 249.667843 288.981596
22 12288.0 415.369018 254.673582 294.323369
23 12800.0 410.695192 254.094291 288.450715
24 13312.0 410.652963 252.559690 289.391298
25 13824.0 404.604870 257.190689 292.056329
26 14336.0 396.844280 256.000002 288.886653
27 14848.0 386.080180 257.665934 288.544136
28 15360.0 378.869469 258.513318 287.326580
29 15872.0 371.637071 261.626369 290.120338
20 11264.0 427.071098 245.760001 286.069848
21 11776.0 419.946507 249.447482 288.686414
22 12288.0 415.369018 254.673582 294.617366
23 12800.0 410.695192 253.884294 287.910035
24 13312.0 410.125805 252.559690 289.129403
25 13824.0 404.112047 257.190689 292.056329
26 14336.0 396.844280 256.000002 289.129416
27 14848.0 385.662341 257.479779 288.777966
28 15360.0 378.869469 258.332158 288.225185
29 15872.0 372.000001 261.806182 290.562936
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 14.616 seconds)
**Total running time of the script:** ( 2 minutes 12.415 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
=================
**13:32.426** total execution time for **getting-started_tutorials** files:
**13:24.457** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:12.272 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:11.287 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.985 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.378 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.616 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.415 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.540 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:34.363 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.012 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.014 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+