[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-05-03 00:45:18 +00:00
parent 567aa8d4fc
commit af77440e1b
156 changed files with 280 additions and 280 deletions

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@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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 40.796 seconds)
**Total running time of the script:** ( 1 minutes 47.140 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 512.000001 186.181817
0 256.0 546.133347 512.000001 186.181817
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 160.000000
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 411.722274 198.854847
96 12544.0 814.214963 412.546756 198.913776
97 12672.0 814.265046 411.679167 199.069228
93 12160.0 814.058574 405.755985 198.936606
94 12288.0 814.111783 415.661740 198.995960
95 12416.0 814.163950 411.296057 198.805107
96 12544.0 814.214963 412.971190 198.913776
97 12672.0 814.265046 411.888249 198.971549
[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 19.085 seconds)
**Total running time of the script:** ( 3 minutes 27.130 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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@@ -457,38 +457,38 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. code-block:: none
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 41.321411 40.140799
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 68.147202
10 1536.0 80.430545 ... 80.430545 80.430545
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 68.776119 ... 70.892307 70.892307
14 2048.0 73.584279 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 77.810656 77.558029
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 81.715711 81.920002
19 2688.0 83.737433 ... 90.966561 90.316801
20 2816.0 84.035084 ... 83.552120 83.873477
21 2944.0 82.509987 ... 83.899046 84.040530
22 3072.0 81.589488 ... 86.184329 89.735509
23 3200.0 84.993363 ... 96.240602 96.240602
24 3328.0 83.226931 ... 85.806075 84.895397
25 3456.0 82.604067 ... 84.068369 88.692595
26 3584.0 87.211821 ... 100.017124 100.351999
27 3712.0 85.091436 ... 89.513749 87.094458
28 3840.0 84.228485 ... 92.390975 85.531326
29 3968.0 91.954739 ... 85.034103 91.540836
30 4096.0 87.495257 ... 89.597949 93.336389
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.730667 ... 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 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 40.140799
6 1024.0 49.932191 ... 53.773130 53.773130
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 68.147202
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 68.776119 ... 71.257735 71.257735
14 2048.0 73.262953 ... 78.033565 77.672296
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 78.064941 77.810656
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 83.369354 ... 90.748936 90.748936
20 2816.0 82.290955 ... 84.523664 84.360174
21 2944.0 82.373605 ... 83.617504 82.373605
22 3072.0 82.062468 ... 89.735509 88.473602
23 3200.0 80.503145 ... 94.674553 95.380032
24 3328.0 82.369902 ... 86.320498 86.736504
25 3456.0 78.578525 ... 84.332184 87.823058
26 3584.0 87.381330 ... 99.684470 99.463928
27 3712.0 83.247783 ... 89.916604 87.018592
28 3840.0 84.874902 ... 92.275341 86.332554
29 3968.0 92.864488 ... 86.664727 92.512459
30 4096.0 86.592080 ... 87.552332 93.271527
[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 7.559 seconds)
**Total running time of the script:** ( 6 minutes 16.209 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 361.411758 99.902435 315.076934
0 1024.0 361.411758 99.497980 311.088617
1 1536.0 405.098894 133.083026 344.523365
2 2048.0 496.484863 158.554837 334.367350
2 2048.0 496.484863 158.045011 334.367350
3 2560.0 461.954908 182.857144 330.322572
4 3072.0 519.211251 191.501303 320.556515
5 3584.0 554.941930 208.271186 309.410081
5 3584.0 554.941930 208.271186 308.301075
6 4096.0 564.965515 220.412561 298.796351
7 4608.0 502.690905 231.849059 286.507772
8 5120.0 527.381977 244.294240 286.433562
9 5632.0 542.843364 244.426754 292.571431
10 6144.0 550.208948 251.202731 288.000001
11 6656.0 534.260858 256.000009 286.793541
12 7168.0 513.528374 253.734520 277.470965
13 7680.0 488.912481 266.743841 284.884090
14 8192.0 468.114289 258.694729 278.087683
15 8704.0 415.300208 267.472468 286.158893
16 9216.0 429.483477 273.066667 289.129410
17 9728.0 438.857162 279.942444 289.308559
18 10240.0 444.412281 287.102804 290.153487
19 10752.0 427.940303 246.935876 290.104546
20 11264.0 429.104745 246.432094 287.897767
21 11776.0 421.198220 249.888595 289.573776
7 4608.0 500.416301 232.336141 286.507772
8 5120.0 529.655159 243.809526 286.433562
9 5632.0 542.843364 244.426754 291.310338
10 6144.0 548.163546 251.202731 286.879370
11 6656.0 534.260858 256.410903 286.793541
12 7168.0 513.528374 253.360829 277.470965
13 7680.0 486.332448 266.743841 284.884090
14 8192.0 468.114289 258.694729 277.694924
15 8704.0 414.476194 267.472468 286.158893
16 9216.0 428.651187 273.066667 289.507855
17 9728.0 438.857162 279.942444 288.593329
18 10240.0 445.217381 287.102804 290.153487
19 10752.0 427.231788 246.699797 289.941565
20 11264.0 427.071098 246.432094 288.204696
21 11776.0 421.826879 249.667843 289.573776
22 12288.0 417.131525 254.673582 294.323369
23 12800.0 411.244989 253.884294 290.084977
24 13312.0 409.599999 252.959629 289.391298
25 13824.0 405.594132 256.991469 292.056329
23 12800.0 411.244989 253.989249 290.084977
24 13312.0 409.599999 253.160074 289.391298
25 13824.0 405.842204 256.991469 292.313649
26 14336.0 395.475867 255.619613 288.402346
27 14848.0 385.245405 256.922861 288.544136
28 15360.0 380.041240 258.332158 288.450715
29 15872.0 372.000001 263.071829 290.341468
27 14848.0 383.999990 256.922861 288.544136
28 15360.0 380.041240 258.513318 288.225185
29 15872.0 372.000001 261.446802 289.239176
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 13.781 seconds)
**Total running time of the script:** ( 2 minutes 13.538 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:21.234** total execution time for **getting-started_tutorials** files:
**13:44.030** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:07.559 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:16.209 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.085 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.130 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.781 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.538 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.796 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.140 | 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 |
+---------------------------------------------------------------------------------------------------------+-----------+--------+