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[GH-PAGES] Updated website

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Philippe Tillet
2022-07-29 00:48:17 +00:00
parent 6cffd02787
commit d2acaf2b1e
167 changed files with 242 additions and 242 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:** ( 2 minutes 39.483 seconds)
**Total running time of the script:** ( 1 minutes 41.961 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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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 190.511628
0 256.0 546.133347 546.133347 188.321838
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 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 415.222812 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 810.925276 412.546756 198.815254
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 812.429770 415.661740 198.895304
95 12416.0 812.498981 412.149375 198.457532
96 12544.0 812.566838 412.546756 198.766042
97 12672.0 811.007961 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 31.979 seconds)
**Total running time of the script:** ( 3 minutes 30.330 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 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
7 1152.0 45.242181 ... 47.396572 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
9 1408.0 64.138541 ... 68.147202 67.305878
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
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
13 1920.0 69.120002 ... 71.626943 71.626943
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.494120 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 75.320281
18 2560.0 77.833728 ... 82.331658 81.108913
19 2688.0 83.922689 ... 90.748936 89.676257
20 2816.0 79.879498 ... 82.446516 83.873477
21 2944.0 81.967162 ... 83.617504 83.337844
22 3072.0 81.825298 ... 89.593522 88.750943
23 3200.0 84.993363 ... 96.822991 95.808380
24 3328.0 83.130825 ... 84.596116 84.200347
25 3456.0 81.518272 ... 91.407671 90.943675
26 3584.0 85.797134 ... 91.470385 91.470385
27 3712.0 84.088676 ... 89.273764 83.247783
28 3840.0 85.005380 ... 92.006659 85.763472
29 3968.0 85.809605 ... 92.232760 86.175099
30 4096.0 93.433852 ... 85.871008 92.245860
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.643310 ... 78.064941 77.307030
17 2432.0 71.305746 ... 84.621881 84.115159
18 2560.0 78.019048 ... 82.331658 81.715711
19 2688.0 83.369354 ... 90.102270 89.888756
20 2816.0 79.733474 ... 84.687779 83.233226
21 2944.0 82.034625 ... 83.060049 82.784108
22 3072.0 82.062468 ... 87.112467 88.890270
23 3200.0 84.768213 ... 96.676741 95.522391
24 3328.0 83.130825 ... 85.297742 84.298943
25 3456.0 79.430113 ... 91.928814 90.790053
26 3584.0 85.633710 ... 90.275083 94.697621
27 3712.0 85.822459 ... 81.414891 86.716441
28 3840.0 81.019778 ... 87.217666 90.500819
29 3968.0 85.869991 ... 92.024087 84.039426
30 4096.0 93.336389 ... 84.254693 89.777746
[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 36.303 seconds)
**Total running time of the script:** ( 6 minutes 31.595 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 0.164 seconds)
**Total running time of the script:** ( 0 minutes 0.012 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 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 365.714281 518.481028
3 2560.0 694.237267 365.714281 512.000013
4 3072.0 712.347810 378.092307 496.484863
5 3584.0 725.873439 384.859062 455.111115
5 3584.0 725.873439 384.859062 448.000001
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 670.254540 394.267384 421.302872
8 5120.0 688.403381 397.669909 424.455959
9 5632.0 704.000002 395.228063 411.470331
10 6144.0 697.191505 402.885254 411.313806
11 6656.0 700.631610 400.360920 398.861429
7 4608.0 670.254540 394.267384 426.173427
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 396.969169 415.262685
10 6144.0 697.191505 402.885254 409.600010
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 678.895043 393.846167 386.415087
14 8192.0 639.375598 393.609605 372.363633
15 8704.0 624.502255 389.005597 380.502740
16 9216.0 604.327881 407.337026 383.002605
17 9728.0 585.142883 409.599987 383.369452
18 10240.0 564.965524 408.578556 382.803739
19 10752.0 546.133312 411.559798 381.445676
13 7680.0 678.895043 393.846167 387.634072
14 8192.0 636.271854 393.609605 371.308771
15 8704.0 627.315309 389.005597 380.502740
16 9216.0 606.814809 407.337026 383.999986
17 9728.0 587.350922 409.599987 383.369452
18 10240.0 564.965524 409.600010 382.803739
19 10752.0 547.872604 411.559798 381.445676
20 11264.0 533.207081 406.826188 373.134567
21 11776.0 520.486200 409.599991 377.587162
22 12288.0 516.031509 413.911572 383.251457
22 12288.0 514.680630 414.784810 383.251457
23 12800.0 504.433489 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.976995
25 13824.0 482.934503 411.888257 379.389355
26 14336.0 471.967074 406.695045 374.185964
27 14848.0 461.297068 408.192434 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.098578 406.974373 376.225175
29 15872.0 447.887117 406.974373 376.783377
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 37.477 seconds)
**Total running time of the script:** ( 5 minutes 30.987 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

2
master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
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@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.367 seconds)
**Total running time of the script:** ( 0 minutes 0.077 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 0.128 seconds)
**Total running time of the script:** ( 0 minutes 0.010 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
=================
**18:25.900** total execution time for **getting-started_tutorials** files:
**17:14.972** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:36.303 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:31.595 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.477 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:30.987 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.979 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.330 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 02:39.483 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.961 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.367 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.077 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.164 | 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_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.128 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+