[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-08-20 00:47:58 +00:00
parent a7462d444b
commit b4367e5d30
165 changed files with 234 additions and 234 deletions

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@@ -234,18 +234,18 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
size Triton Torch
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 31.999999 38.400001
2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 384.000001 341.333321
6 262144.0 341.333321 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 842.004273 842.004273
13 33554432.0 842.004273 843.811163
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
@@ -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 41.469 seconds)
**Total running time of the script:** ( 1 minutes 43.980 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)
0 256.0 546.133347 546.133347 188.321838
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 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 812.498981 412.149375 198.954424
96 12544.0 812.566838 412.546756 199.111113
97 12672.0 811.007961 412.097543 199.264875
93 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 415.661740 198.995960
95 12416.0 812.498981 412.149375 198.606350
96 12544.0 810.925276 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 28.831 seconds)
**Total running time of the script:** ( 3 minutes 30.496 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 2.978909 ... 3.276800 2.978909
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
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 49.932191 ... 53.773130 52.428801
7 1152.0 44.566925 ... 48.161033 48.161033
6 1024.0 51.150050 ... 53.773130 52.428801
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 62.929456
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 68.776119 ... 71.257735 71.257735
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 70.892307
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 86.367588
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 85.915795 83.864074
18 2560.0 78.019048 ... 82.747477 81.715711
19 2688.0 83.922689 ... 91.185232 89.254248
20 2816.0 80.026067 ... 83.712490 83.074685
21 2944.0 82.102191 ... 82.921853 82.784108
22 3072.0 81.884457 ... 89.310890 88.612060
23 3200.0 83.879425 ... 96.096095 93.704243
24 3328.0 84.101981 ... 85.602017 85.806075
25 3456.0 81.435930 ... 90.687926 90.994998
26 3584.0 87.042978 ... 93.273228 96.683219
27 3712.0 85.822459 ... 88.876645 87.094458
28 3840.0 81.798814 ... 88.050954 88.971840
29 3968.0 92.758598 ... 85.871877 91.301109
30 4096.0 86.536250 ... 87.041329 91.304576
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 85.915795 75.320281
18 2560.0 78.019048 ... 82.747477 81.512437
19 2688.0 83.186525 ... 90.640519 89.254248
20 2816.0 82.135981 ... 84.035084 83.873477
21 2944.0 81.298583 ... 81.431424 83.337844
22 3072.0 82.062468 ... 85.275760 88.612060
23 3200.0 85.219705 ... 96.822991 95.808380
24 3328.0 84.101981 ... 85.398926 84.695641
25 3456.0 81.766291 ... 91.824110 90.790053
26 3584.0 86.540320 ... 88.238857 94.250936
27 3712.0 85.382349 ... 87.322855 86.829501
28 3840.0 80.990111 ... 93.563449 84.777307
29 3968.0 93.112506 ... 82.840416 84.915752
30 4096.0 86.259046 ... 85.489001 89.657802
[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 32.425 seconds)
**Total running time of the script:** ( 6 minutes 34.019 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 0.012 seconds)
**Total running time of the script:** ( 0 minutes 0.013 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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@@ -42,7 +42,7 @@ Layer Normalization
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2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 365.714281 518.481028
4 3072.0 712.347810 378.092307 501.551037
4 3072.0 712.347810 378.092307 496.484863
5 3584.0 725.873439 384.859062 451.527536
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 670.254540 394.267384 421.302872
@@ -53,21 +53,21 @@ Layer Normalization
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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
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 10752.0 546.133312 411.559798 381.445676
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
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27 14848.0 461.297068 408.192434 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.887117 406.974373 376.225175
29 15872.0 447.098578 406.974373 376.783377
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 36.947 seconds)
**Total running time of the script:** ( 5 minutes 34.799 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.077 seconds)
**Total running time of the script:** ( 0 minutes 0.080 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

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@@ -5,20 +5,20 @@
Computation times
=================
**17:19.771** total execution time for **getting-started_tutorials** files:
**17:23.396** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.425 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:34.019 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:36.947 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:34.799 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:28.831 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.496 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.469 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.980 | 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_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.080 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.013 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+