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[GH-PAGES] Updated website

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Philippe Tillet
2022-09-09 00:53:43 +00:00
parent 762f8c9f51
commit 8f733c4476
165 changed files with 278 additions and 278 deletions
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2
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -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 42.421 seconds)
**Total running time of the script:** ( 1 minutes 49.605 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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@@ -278,16 +278,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 546.133347 546.133347 186.181817
1 384.0 614.400016 585.142862 151.703707
0 256.0 546.133347 546.133347 188.321838
1 384.0 614.400016 558.545450 151.703707
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
3 640.0 706.206879 640.000002 158.759699
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 812.429770 415.661740 199.096718
95 12416.0 812.498981 411.722274 198.655991
96 12544.0 810.925276 412.971190 198.913776
93 12160.0 812.359066 405.755985 198.733401
94 12288.0 812.429770 415.222812 198.995960
95 12416.0 812.498981 412.149375 198.655991
96 12544.0 810.925276 412.971190 198.815254
97 12672.0 811.007961 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 32.935 seconds)
**Total running time of the script:** ( 3 minutes 32.100 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

42
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -466,30 +466,30 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 47.396572 47.396572
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
9 1408.0 64.138541 ... 69.009825 67.305878
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.446623 ... 77.558029 77.307030
17 2432.0 71.305746 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.539044 81.715711
19 2688.0 83.369354 ... 91.185232 89.254248
20 2816.0 79.443003 ... 84.523664 83.233226
21 2944.0 82.373605 ... 83.337844 82.784108
22 3072.0 81.707223 ... 89.310890 88.890270
23 3200.0 84.656085 ... 96.969694 95.808380
24 3328.0 81.530349 ... 84.795401 84.397770
25 3456.0 81.435930 ... 89.380896 91.304157
26 3584.0 87.042978 ... 99.244365 98.375705
27 3712.0 85.019017 ... 87.706180 87.629253
28 3840.0 81.859361 ... 86.265212 90.352941
29 3968.0 85.811488 ... 91.954739 84.856701
30 4096.0 93.206754 ... 86.816123 84.599893
13 1920.0 69.120002 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.033565 77.314362
15 2176.0 83.155572 ... 87.494120 85.998493
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 75.118889
18 2560.0 77.833728 ... 82.747477 81.715711
19 2688.0 83.922689 ... 90.966561 88.836198
20 2816.0 79.733474 ... 83.873477 83.074685
21 2944.0 82.509987 ... 83.617504 82.373605
22 3072.0 81.530748 ... 89.735509 88.060814
23 3200.0 84.432717 ... 96.530922 95.380032
24 3328.0 82.843841 ... 85.754970 83.808259
25 3456.0 80.945348 ... 85.133652 81.271743
26 3584.0 87.466332 ... 95.249353 98.699661
27 3712.0 85.896254 ... 81.283434 87.706180
28 3840.0 81.019778 ... 86.332554 89.766237
29 3968.0 85.751184 ... 90.388098 86.114283
30 4096.0 91.867031 ... 83.081233 89.807782
[31 rows x 5 columns]
@@ -499,7 +499,7 @@ 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 41.087 seconds)
**Total running time of the script:** ( 7 minutes 11.851 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 0.011 seconds)
**Total running time of the script:** ( 0 minutes 0.290 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -41,33 +41,33 @@ Layer Normalization
0 1024.0 585.142849 277.694907 481.882344
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 668.734716 337.814445 520.126988
3 2560.0 694.237267 362.477870 518.481028
4 3072.0 702.171410 375.206126 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 670.254540 396.387087 426.173427
3 2560.0 694.237267 362.477870 512.000013
4 3072.0 702.171410 378.092307 501.551037
5 3584.0 725.873439 384.859062 458.751978
6 4096.0 728.177767 383.251446 451.972420
7 4608.0 670.254540 396.387087 428.651163
8 5120.0 688.403381 397.669909 424.455959
9 5632.0 698.542675 398.725657 413.357796
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 700.631610 400.360920 398.861429
12 7168.0 690.891575 382.293315 382.293315
13 7680.0 678.895043 392.587863 386.415087
14 8192.0 642.509816 392.431125 376.643677
15 8704.0 627.315309 392.292962 380.502740
16 9216.0 606.814809 403.989025 383.999986
17 9728.0 589.575753 408.524944 382.427505
18 10240.0 566.920437 408.578556 381.911416
19 10752.0 547.872604 411.559798 380.601764
20 11264.0 531.634232 396.969169 369.311483
21 11776.0 520.486200 408.711507 376.831982
22 12288.0 513.336807 413.911572 382.505826
9 5632.0 698.542675 398.725657 411.470331
10 6144.0 697.191505 404.543206 409.600010
11 6656.0 700.631610 400.360920 400.360920
12 7168.0 686.754468 383.571898 383.571898
13 7680.0 682.666656 392.587863 386.415087
14 8192.0 639.375598 392.431125 373.424507
15 8704.0 624.502255 391.191007 380.502740
16 9216.0 604.327881 403.989025 382.010363
17 9728.0 585.142883 409.599987 383.369452
18 10240.0 564.965524 409.600010 382.803739
19 10752.0 546.133312 410.577576 380.601764
20 11264.0 530.070590 396.969169 367.804077
21 11776.0 519.052343 409.599991 377.587162
22 12288.0 513.336807 413.911572 383.251457
23 12800.0 504.433489 410.420828 377.163903
24 13312.0 494.180982 404.927765 376.310952
25 13824.0 481.882350 411.122660 379.389355
26 14336.0 471.967074 400.307157 373.576536
27 14848.0 460.403127 404.715511 374.712936
28 15360.0 454.269882 406.887417 378.674888
29 15872.0 447.887117 407.627589 376.225175
24 13312.0 494.180982 408.030638 376.976995
25 13824.0 481.882350 412.656711 379.389355
26 14336.0 471.967074 398.914774 371.158581
27 14848.0 461.297068 406.794504 375.304904
28 15360.0 454.269882 406.887417 377.511515
29 15872.0 447.887117 408.282944 376.225175
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 40.350 seconds)
**Total running time of the script:** ( 5 minutes 37.085 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
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@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.071 seconds)
**Total running time of the script:** ( 0 minutes 0.072 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

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master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
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@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.010 seconds)
**Total running time of the script:** ( 0 minutes 0.253 seconds)
.. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:

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master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,20 +5,20 @@
Computation times
=================
**17:36.885** total execution time for **getting-started_tutorials** files:
**18:11.256** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:41.087 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:11.851 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:40.350 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.085 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.935 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.100 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:42.421 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:49.605 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.071 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.290 | 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 |
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.253 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.072 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+