[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-05-04 00:43:20 +00:00
parent af77440e1b
commit d420763e0b
158 changed files with 290 additions and 290 deletions

View File

@@ -232,20 +232,20 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
vector-add-performance:
size Triton Torch
0 4096.0 9.600000 9.600000
0 4096.0 8.000000 9.600000
1 8192.0 19.200000 19.200000
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 262144.0 341.333321 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 702.171410
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 843.811163
13 33554432.0 842.004273 842.004273
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 47.140 seconds)
**Total running time of the script:** ( 1 minutes 46.935 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -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 512.000001 186.181817
1 384.0 585.142862 585.142862 151.703707
0 256.0 512.000001 546.133347 188.321838
1 384.0 585.142862 558.545450 151.703707
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 162.754967
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.936606
93 12160.0 814.058574 405.755985 198.733401
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
95 12416.0 814.163950 411.722274 198.705656
96 12544.0 814.214963 412.971190 198.815254
97 12672.0 814.265046 411.679167 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 27.130 seconds)
**Total running time of the script:** ( 3 minutes 27.513 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -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 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
0 256.0 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 15.420235 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 40.140799
6 1024.0 49.932191 ... 53.773130 53.773130
5 896.0 37.971025 ... 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 68.147202
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.929456
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 80.430545 80.430545
11 1664.0 63.372618 ... 63.372618 63.372618
12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 68.776119 ... 71.257735 71.257735
13 1920.0 69.120002 ... 71.626943 70.892307
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
16 2304.0 68.251065 ... 78.064941 77.558029
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
18 2560.0 77.833728 ... 82.125311 82.125311
19 2688.0 83.552988 ... 90.316801 90.966561
20 2816.0 83.233226 ... 83.233226 84.278666
21 2944.0 81.166173 ... 83.617504 84.182483
22 3072.0 81.825298 ... 89.451983 89.451983
23 3200.0 83.989503 ... 96.530922 94.256261
24 3328.0 83.905938 ... 86.946008 86.217120
25 3456.0 80.300370 ... 92.350019 88.497878
26 3584.0 87.381330 ... 98.053863 99.463928
27 3712.0 85.528545 ... 87.629253 88.326564
28 3840.0 82.716526 ... 88.971840 91.625518
29 3968.0 87.004591 ... 92.652949 85.841672
30 4096.0 93.727466 ... 89.092421 87.495257
[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 16.209 seconds)
**Total running time of the script:** ( 6 minutes 7.255 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -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 0.014 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

View File

@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 361.411758 99.497980 311.088617
1 1536.0 405.098894 133.083026 344.523365
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 308.301075
6 4096.0 564.965515 220.412561 298.796351
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 253.989249 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 14848.0 383.999990 256.922861 288.544136
28 15360.0 380.041240 258.513318 288.225185
29 15872.0 372.000001 261.446802 289.239176
0 1024.0 361.411758 97.912354 303.407414
1 1536.0 405.098894 134.540150 341.333333
2 2048.0 491.520012 161.154101 334.367350
3 2560.0 465.454542 181.238943 330.322572
4 3072.0 519.211251 192.501302 323.368415
5 3584.0 558.545477 208.271186 311.652167
6 4096.0 564.965515 220.907859 298.796351
7 4608.0 502.690905 232.825259 287.251954
8 5120.0 527.381977 242.366855 284.444444
9 5632.0 542.843364 243.107920 289.438969
10 6144.0 546.133354 248.661056 286.322318
11 6656.0 527.207907 256.000009 285.767438
12 7168.0 503.017523 259.867079 284.821192
13 7680.0 482.513091 263.314295 280.121579
14 8192.0 463.698115 266.767970 284.526763
15 8704.0 414.476194 267.815384 284.599455
16 9216.0 427.822068 271.724806 287.999990
17 9728.0 437.213490 280.615388 290.027323
18 10240.0 446.836366 286.433562 290.496460
19 10752.0 429.364408 246.935876 290.267711
20 11264.0 426.397479 245.313973 286.980888
21 11776.0 420.571432 249.667843 288.981596
22 12288.0 416.542386 254.673582 294.323369
23 12800.0 411.244989 253.779426 289.811310
24 13312.0 409.075539 252.959629 290.443638
25 13824.0 405.098897 257.390218 292.056329
26 14336.0 395.021816 255.051144 286.719986
27 14848.0 386.080180 257.852379 289.481735
28 15360.0 380.433442 257.970599 286.879376
29 15872.0 371.094003 261.626369 289.679087
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 13.538 seconds)
**Total running time of the script:** ( 2 minutes 14.074 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

View File

@@ -5,16 +5,16 @@
Computation times
=================
**13:44.030** total execution time for **getting-started_tutorials** files:
**13:35.790** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :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_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:07.255 | 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_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.513 | 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_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.074 | 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_01-vector-add.py` (``01-vector-add.py``) | 01:46.935 | 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``) | 00:00.014 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+