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[GH-PAGES] Updated website

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Philippe Tillet
2021-09-24 00:44:24 +00:00
parent 13fe823b9b
commit a724618b22
20 changed files with 84 additions and 84 deletions
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2
_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -254,7 +254,7 @@ 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 57.155 seconds)
**Total running time of the script:** ( 1 minutes 51.444 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

18
_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -286,17 +286,17 @@ 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
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 585.142849 154.566038
0 256.0 512.000001 546.133347 188.321838
1 384.0 585.142862 585.142862 153.600004
2 512.0 630.153853 606.814814 154.566038
3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 162.754967
.. ... ... ... ...
93 12160.0 810.666687 405.755985 198.834951
94 12288.0 812.429770 415.222812 199.096718
95 12416.0 809.189387 411.296057 198.655991
96 12544.0 807.661970 412.971190 199.012395
97 12672.0 807.776923 412.097543 199.069228
93 12160.0 810.666687 405.755985 199.140227
94 12288.0 810.754644 415.661740 199.399583
95 12416.0 807.544681 411.722274 198.954424
96 12544.0 807.661970 412.971190 199.209928
97 12672.0 807.776923 412.097543 199.264875
[98 rows x 4 columns]
@@ -314,7 +314,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 3 minutes 31.704 seconds)
**Total running time of the script:** ( 3 minutes 27.932 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

50
_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -462,37 +462,37 @@ 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
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
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 39.025776 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 46.656000 45.938215
8 1280.0 51.200001 ... 56.109587 56.109587
9 1408.0 64.138541 ... 66.485074 65.684049
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.109587
9 1408.0 64.138541 ... 67.305878 65.684049
10 1536.0 80.430545 ... 78.643199 78.643199
11 1664.0 62.929456 ... 62.492442 61.636381
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.530615 70.530615
11 1664.0 62.929456 ... 62.492442 62.492442
12 1792.0 72.983276 ... 72.512412 72.047592
13 1920.0 69.467336 ... 70.530615 70.172588
14 2048.0 73.908442 ... 76.959706 76.608294
15 2176.0 83.500614 ... 86.367588 85.998493
16 2304.0 68.446623 ... 77.307030 76.563695
17 2432.0 71.305746 ... 85.653855 85.393507
18 2560.0 78.019048 ... 81.512437 80.908642
19 2688.0 83.737433 ... 89.464755 89.888756
20 2816.0 83.873477 ... 83.712490 83.712490
21 2944.0 83.060049 ... 82.373605 82.921853
22 3072.0 80.430545 ... 88.890270 88.335577
23 3200.0 84.210524 ... 95.522391 94.395283
24 3328.0 84.101981 ... 84.695641 85.045833
25 3456.0 82.688790 ... 88.595129 89.281913
26 3584.0 87.381330 ... 99.134944 92.410473
27 3712.0 85.019017 ... 83.213118 88.640059
28 3840.0 81.677994 ... 86.197974 91.172297
29 3968.0 86.053553 ... 91.403695 84.974886
30 4096.0 93.401342 ... 91.428970 86.313653
15 2176.0 83.155572 ... 85.998493 85.998493
16 2304.0 68.251065 ... 77.057651 77.057651
17 2432.0 71.305746 ... 74.719317 85.393507
18 2560.0 78.019048 ... 81.512437 80.511054
19 2688.0 83.922689 ... 89.044730 88.836198
20 2816.0 80.394854 ... 83.712490 83.712490
21 2944.0 82.509987 ... 82.237674 83.060049
22 3072.0 81.005868 ... 89.310890 88.335577
23 3200.0 83.769634 ... 94.814812 95.380032
24 3328.0 83.226931 ... 84.200347 84.200347
25 3456.0 81.724858 ... 91.046379 85.585527
26 3584.0 86.540320 ... 91.563533 96.579370
27 3712.0 85.748791 ... 88.326564 88.170647
28 3840.0 82.592983 ... 88.191387 91.247522
29 3968.0 86.112380 ... 91.747320 83.865247
30 4096.0 93.466385 ... 91.898475 88.301134
[31 rows x 5 columns]
@@ -502,7 +502,7 @@ 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 18.778 seconds)
**Total running time of the script:** ( 6 minutes 27.531 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

2
_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
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@@ -238,7 +238,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.426 seconds)
**Total running time of the script:** ( 0 minutes 0.306 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

10
_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,14 +5,14 @@
Computation times
=================
**11:48.062** total execution time for **getting-started_tutorials** files:
**11:47.213** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:18.778 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:27.531 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.704 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.932 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:57.155 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:51.444 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.426 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.306 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+