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[GH-PAGES] Updated website

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Philippe Tillet
2022-08-08 00:48:35 +00:00
parent 355b06f4b3
commit d155d9a166
167 changed files with 292 additions and 292 deletions
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6
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -235,10 +235,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 38.400001 38.400001
3 32768.0 63.999998 76.800002
3 32768.0 63.999998 63.999998
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
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6 262144.0 384.000001 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
@@ -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 34.873 seconds)
**Total running time of the script:** ( 1 minutes 50.221 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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@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 546.133347 546.133347 188.321838
1 384.0 614.400016 585.142862 151.703707
0 256.0 546.133347 546.133347 190.511628
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 163.839992
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 405.755985 198.834951
94 12288.0 812.429770 415.661740 199.096718
95 12416.0 812.498981 411.722274 198.755369
96 12544.0 810.925276 413.396498 199.012395
97 12672.0 812.633240 412.097543 199.167004
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 812.429770 416.101597 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 810.925276 412.971190 198.716830
97 12672.0 812.633240 412.097543 198.776477
[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 27.507 seconds)
**Total running time of the script:** ( 3 minutes 32.174 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

46
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -459,37 +459,37 @@ 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 ... 3.276800 3.276800
1 384.0 7.372800 ... 7.899428 7.899428
0 256.0 2.730667 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
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 ... 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 62.492442 ... 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
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.331658 81.920002
19 2688.0 83.552988 ... 91.404957 89.464755
20 2816.0 79.879498 ... 84.360174 83.873477
21 2944.0 82.237674 ... 81.431424 83.337844
22 3072.0 81.589488 ... 89.030036 88.612060
23 3200.0 84.993363 ... 96.822991 95.808380
24 3328.0 82.891535 ... 85.602017 84.101981
25 3456.0 80.300370 ... 91.771848 86.596744
26 3584.0 85.633710 ... 90.458141 95.451583
27 3712.0 83.247783 ... 86.829501 87.552452
28 3840.0 81.019778 ... 88.971840 91.853823
29 3968.0 85.753071 ... 85.600795 89.988156
30 4096.0 88.651075 ... 88.768339 89.299883
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.876193 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 85.393507
18 2560.0 77.833728 ... 82.125311 81.512437
19 2688.0 83.922689 ... 90.316801 90.316801
20 2816.0 79.733474 ... 84.360174 83.074685
21 2944.0 81.967162 ... 83.198715 82.373605
22 3072.0 82.241254 ... 89.593522 88.750943
23 3200.0 84.544253 ... 96.969694 95.238096
24 3328.0 83.034941 ... 85.398926 84.298943
25 3456.0 82.015834 ... 91.511426 90.790053
26 3584.0 85.715344 ... 94.349836 97.734120
27 3712.0 85.455380 ... 86.940496 87.284705
28 3840.0 83.120631 ... 92.778524 85.629632
29 3968.0 90.791620 ... 86.266483 90.054568
30 4096.0 91.678778 ... 92.852115 88.330190
[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 20.627 seconds)
**Total running time of the script:** ( 7 minutes 4.446 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 0.284 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

52
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -40,34 +40,34 @@ Layer Normalization
N Triton Torch Apex
0 1024.0 585.142849 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
2 2048.0 668.734716 334.367358 520.126988
3 2560.0 694.237267 365.714281 512.000013
4 3072.0 712.347810 378.092307 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 383.251446 451.972420
7 4608.0 670.254540 396.387087 421.302872
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 670.254540 396.387087 428.651163
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 398.725657 413.357796
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 700.631610 400.360920 400.360920
12 7168.0 690.891575 383.571898 381.023265
13 7680.0 678.895043 392.587863 386.415087
14 8192.0 636.271854 390.095241 375.564460
15 8704.0 627.315309 392.292962 380.502740
16 9216.0 609.322328 403.989025 381.023249
17 9728.0 587.350922 408.524944 382.427505
18 10240.0 566.920437 408.578556 382.803739
19 10752.0 547.872604 412.546760 379.761601
20 11264.0 531.634232 396.096702 369.311483
21 11776.0 521.927959 408.711507 378.345375
22 12288.0 514.007840 413.911572 383.251457
23 12800.0 504.433489 410.420828 377.163903
24 13312.0 494.180982 404.159395 376.310952
25 13824.0 481.882350 409.600016 378.739711
26 14336.0 471.967074 400.307157 369.961287
27 14848.0 461.297068 404.027214 375.304904
9 5632.0 704.000002 396.969169 417.185184
10 6144.0 697.191505 402.885254 411.313806
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 678.895043 392.587863 387.634072
14 8192.0 633.198054 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 408.578556 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 12288.0 514.680630 414.784810 383.251457
23 12800.0 504.433489 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.310952
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 408.940410 376.783377
29 15872.0 447.098578 406.974373 376.225175
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 29.729 seconds)
**Total running time of the script:** ( 5 minutes 24.707 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 0.072 seconds)
**Total running time of the script:** ( 0 minutes 0.073 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

2
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 0.267 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
=================
**16:52.830** total execution time for **getting-started_tutorials** files:
**17:52.172** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:20.627 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:04.446 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:29.729 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:24.707 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.507 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.174 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:34.873 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:50.221 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.072 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.284 | 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``) | 00:00.267 | 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``) | 00:00.073 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+