[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-06-20 00:46:53 +00:00
parent 1f4cea595d
commit ab91a5bbc3
158 changed files with 234 additions and 234 deletions

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@@ -235,13 +235,13 @@ 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
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4 65536.0 127.999995 127.999995
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6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
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9 2097152.0 722.823517 702.171410
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
@@ -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 41.877 seconds)
**Total running time of the script:** ( 1 minutes 44.397 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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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)
0 256.0 512.000001 546.133347 186.181817
0 256.0 512.000001 512.000001 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 160.000000
3 640.0 706.206879 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
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 12544.0 810.925276 412.971190 198.815254
93 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 416.101597 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 812.566838 412.971190 198.864492
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 22.722 seconds)
**Total running time of the script:** ( 3 minutes 22.202 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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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 ... 2.978909 3.276800
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
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 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
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 66.485074
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
10 1536.0 79.526831 ... 80.430545 78.643199
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.033565 76.959706
15 2176.0 83.155572 ... 87.876193 85.998493
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.487187 ... 86.979769 85.915795
18 2560.0 78.019048 ... 82.747477 81.108913
19 2688.0 83.922689 ... 90.316801 88.836198
20 2816.0 82.135981 ... 85.017948 84.035084
21 2944.0 81.967162 ... 83.060049 81.832567
22 3072.0 81.121923 ... 89.593522 88.060814
23 3200.0 84.768213 ... 97.116842 95.380032
24 3328.0 83.613586 ... 85.602017 84.101981
25 3456.0 81.849303 ... 86.503829 83.893412
26 3584.0 86.457107 ... 98.699661 97.205829
27 3712.0 82.491612 ... 89.273764 84.444075
28 3840.0 85.070769 ... 87.217666 91.247522
29 3968.0 89.690508 ... 92.024087 85.004484
30 4096.0 94.320258 ... 90.200084 82.241256
16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.711310 84.621881
18 2560.0 77.833728 ... 82.331658 81.715711
19 2688.0 83.369354 ... 90.966561 89.044730
20 2816.0 82.602666 ... 84.197315 83.552120
21 2944.0 81.698415 ... 83.477440 82.509987
22 3072.0 82.420822 ... 86.053349 88.612060
23 3200.0 84.712112 ... 89.387425 95.096582
24 3328.0 83.808259 ... 85.703924 84.397770
25 3456.0 82.519518 ... 91.928814 89.579522
26 3584.0 85.552231 ... 95.756542 95.654673
27 3712.0 86.044224 ... 89.353616 83.386762
28 3840.0 85.201850 ... 93.012618 85.597527
29 3968.0 91.747320 ... 85.330496 89.789505
30 4096.0 91.522488 ... 90.687655 90.382307
[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 6.038 seconds)
**Total running time of the script:** ( 6 minutes 6.898 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 0.476 seconds)
**Total running time of the script:** ( 0 minutes 0.475 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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@@ -44,30 +44,30 @@ Layer Normalization
3 2560.0 694.237267 362.477870 512.000013
4 3072.0 712.347810 375.206126 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 676.403666 396.387087 431.157877
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 676.403666 396.387087 428.651163
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 396.969169 417.185184
9 5632.0 704.000002 395.228063 415.262685
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 682.666656 393.846167 387.634072
14 8192.0 639.375598 393.609605 372.363633
15 8704.0 630.153861 389.005597 380.502740
16 9216.0 609.322328 407.337026 383.999986
17 9728.0 589.575753 409.599987 383.369452
13 7680.0 682.666656 392.587863 387.634072
14 8192.0 639.375598 393.609605 371.308771
15 8704.0 627.315309 389.005597 380.502740
16 9216.0 606.814809 407.337026 383.002605
17 9728.0 587.350922 409.599987 383.369452
18 10240.0 566.920437 408.578556 382.803739
19 10752.0 549.623009 411.559798 381.445676
20 11264.0 536.380957 406.826188 373.134567
21 11776.0 523.377770 409.599991 377.587162
22 12288.0 516.031509 414.784810 383.251457
22 12288.0 518.754611 413.911572 383.251457
23 12800.0 505.679014 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.976995
24 13312.0 494.180982 405.699062 376.310952
25 13824.0 482.934503 411.888257 379.389355
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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 407.627589 376.783377
29 15872.0 447.098578 406.974373 376.225175
@@ -389,7 +389,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 25.911 seconds)
**Total running time of the script:** ( 5 minutes 23.955 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**16:37.024** total execution time for **getting-started_tutorials** files:
**16:37.927** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.038 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.898 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:25.911 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:23.955 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.722 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.202 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.877 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:44.397 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.476 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.475 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+