[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-02-24 00:41:01 +00:00
parent 88ffe73184
commit 9ff187eb68
158 changed files with 290 additions and 290 deletions

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@@ -235,17 +235,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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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 40.829 seconds)
**Total running time of the script:** ( 1 minutes 45.824 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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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 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 156.038096
0 256.0 512.000001 546.133347 188.321838
1 384.0 585.142862 558.545450 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 12160.0 814.058574 406.179533 199.140227
94 12288.0 814.111783 415.222812 199.399583
95 12416.0 814.163950 412.149375 198.954424
96 12544.0 814.214963 412.971190 199.209928
97 12672.0 814.265046 412.097543 199.264875
93 12160.0 814.058574 405.333344 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 411.296057 198.755369
96 12544.0 814.214963 412.546756 198.913776
97 12672.0 814.265046 412.097543 199.069228
[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 21.705 seconds)
**Total running time of the script:** ( 3 minutes 21.745 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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@@ -458,37 +458,37 @@ 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 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 23.272727 ... 24.380953 24.380953
0 256.0 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 52.428801 52.428801
5 896.0 39.025776 ... 40.140799 37.971025
6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 71.588687
13 1920.0 68.776119 ... 70.530615 69.818184
14 2048.0 73.584279 ... 76.608294 76.608294
15 2176.0 83.500614 ... 85.998493 85.632545
16 2304.0 68.643310 ... 76.809875 76.563695
17 2432.0 71.487187 ... 83.119713 85.134737
18 2560.0 78.019048 ... 80.511054 80.511054
19 2688.0 83.737433 ... 89.888756 89.464755
20 2816.0 82.602666 ... 82.759409 82.602666
21 2944.0 82.102191 ... 82.509987 82.784108
22 3072.0 82.661468 ... 87.924073 85.275760
23 3200.0 84.993363 ... 95.665176 94.674553
24 3328.0 82.939284 ... 83.130825 84.596116
25 3456.0 81.766291 ... 91.097818 84.597660
26 3584.0 84.905939 ... 93.759530 87.296493
27 3712.0 84.159518 ... 86.341700 86.867254
28 3840.0 84.874902 ... 92.236860 84.552479
29 3968.0 92.302520 ... 84.098250 90.791620
30 4096.0 86.426548 ... 85.434583 91.180520
11 1664.0 62.929456 ... 62.061463 62.492442
12 1792.0 72.512412 ... 71.588687 72.047592
13 1920.0 69.467336 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.998493
16 2304.0 68.643310 ... 76.809875 76.809875
17 2432.0 71.487187 ... 74.521127 84.877538
18 2560.0 77.833728 ... 81.108913 80.808877
19 2688.0 82.823267 ... 89.676257 89.464755
20 2816.0 80.617762 ... 82.602666 83.392363
21 2944.0 81.832567 ... 82.102191 82.102191
22 3072.0 82.121977 ... 88.335577 86.911900
23 3200.0 78.717759 ... 91.559367 92.753621
24 3328.0 79.990330 ... 83.130825 83.905938
25 3456.0 81.724858 ... 91.304157 90.892410
26 3584.0 83.101104 ... 91.563533 96.579370
27 3712.0 85.748791 ... 86.045381 91.901879
28 3840.0 80.313725 ... 86.265212 91.322872
29 3968.0 86.911637 ... 90.221021 83.922926
30 4096.0 92.755862 ... 88.301134 82.342167
[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 6.796 seconds)
**Total running time of the script:** ( 6 minutes 5.749 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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@@ -240,7 +240,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.496 seconds)
**Total running time of the script:** ( 0 minutes 0.493 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 311.088617 98.303995 307.200008
1 1536.0 347.773587 134.540150 344.523365
2 2048.0 423.724127 161.684218 325.509933
3 2560.0 458.507457 181.775141 326.808501
4 3072.0 511.999982 192.501302 319.168834
5 3584.0 551.384634 208.271186 311.652167
6 4096.0 568.231237 220.412561 299.707322
7 4608.0 507.302750 232.825259 286.507772
8 5120.0 529.655159 242.845844 284.444444
9 5632.0 545.032265 243.545956 290.060087
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11 6656.0 534.260858 256.000009 285.767438
12 7168.0 507.469040 260.654538 286.242939
13 7680.0 481.253256 262.564106 279.272719
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16 9216.0 431.157889 272.394084 288.751954
17 9728.0 439.683593 280.615388 290.027323
18 10240.0 450.109870 286.767793 290.496460
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24 13312.0 411.181478 252.759501 289.916513
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2 2048.0 420.102553 162.217818 325.509933
3 2560.0 451.764698 183.402991 330.322572
4 3072.0 515.580429 191.501303 317.793096
5 3584.0 547.872604 207.768111 311.652167
6 4096.0 564.965515 220.907859 301.546004
7 4608.0 504.986315 232.825259 288.751954
8 5120.0 531.948056 242.845844 285.104413
9 5632.0 545.032265 243.107920 290.060087
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12 7168.0 508.970395 256.000002 279.726817
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14 8192.0 462.607053 264.258058 280.068380
15 8704.0 417.791980 263.757583 282.291896
16 9216.0 430.319054 270.727053 286.879380
17 9728.0 440.513191 281.291575 290.027323
18 10240.0 449.287041 285.767451 289.129408
19 10752.0 429.364408 246.699797 289.941565
20 11264.0 424.389312 245.536784 287.591490
21 11776.0 421.198220 249.888595 288.686414
22 12288.0 417.722367 253.796902 294.617366
23 12800.0 415.135142 253.674644 289.811310
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27 14848.0 384.829370 255.999999 288.544136
28 15360.0 376.932517 259.422943 289.583654
29 15872.0 367.336555 262.708969 290.784741
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.368 seconds)
**Total running time of the script:** ( 2 minutes 12.916 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:22.195** total execution time for **getting-started_tutorials** files:
**13:26.728** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.796 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:05.749 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.705 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.745 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.368 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.916 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.829 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.824 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.496 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.493 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+