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[GH-PAGES] Updated website

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Philippe Tillet
2022-02-12 00:39:34 +00:00
parent 7c47f3e043
commit 2f5658c61f
158 changed files with 296 additions and 296 deletions
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6
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -235,10 +235,10 @@ 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
3 32768.0 76.800002 76.800002
3 32768.0 63.999998 63.999998
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 722.823517
@@ -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 40.155 seconds)
**Total running time of the script:** ( 1 minutes 38.414 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

22
master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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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 546.133347 186.181817
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
0 256.0 546.133347 546.133347 186.181817
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 156.038096
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 406.179533 198.936606
94 12288.0 814.111783 415.222812 199.197579
95 12416.0 814.163950 412.149375 198.755369
96 12544.0 814.214963 412.546756 199.012395
97 12672.0 814.265046 411.679167 199.069228
93 12160.0 814.058574 405.755985 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 411.296057 198.755369
96 12544.0 814.214963 412.546756 198.864492
97 12672.0 814.265046 412.097543 199.069228
[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 20.786 seconds)
**Total running time of the script:** ( 3 minutes 19.681 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

50
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -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
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
2 512.0 14.563555 ... 16.384000 16.384000
3 640.0 22.260869 ... 24.380953 24.380953
3 640.0 23.272727 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 39.025776 39.025776
5 896.0 37.971025 ... 40.140799 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 79.526831 ... 79.526831 79.526831
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.983276 ... 72.047592 72.047592
13 1920.0 68.776119 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.632545
16 2304.0 68.643310 ... 76.319081 75.834511
17 2432.0 71.125224 ... 74.521127 84.621881
18 2560.0 77.833728 ... 81.108913 81.108913
19 2688.0 83.186525 ... 89.888756 89.464755
20 2816.0 83.074685 ... 82.916747 81.293956
21 2944.0 81.967162 ... 82.237674 81.298583
22 3072.0 81.238312 ... 88.612060 88.890270
23 3200.0 84.656085 ... 95.665176 94.674553
24 3328.0 83.468170 ... 82.843841 84.695641
25 3456.0 81.683457 ... 90.281712 90.994998
26 3584.0 84.986191 ... 87.296493 95.047985
27 3712.0 82.355598 ... 88.718781 83.040189
28 3840.0 84.228485 ... 91.701494 85.465227
29 3968.0 91.062642 ... 85.271796 89.394823
30 4096.0 87.352901 ... 88.011627 87.154371
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.492442
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 68.776119 ... 70.172588 70.530615
14 2048.0 73.584279 ... 76.608294 76.608294
15 2176.0 83.500614 ... 86.367588 85.998493
16 2304.0 68.643310 ... 76.809875 76.563695
17 2432.0 71.487187 ... 74.719317 84.621881
18 2560.0 77.283019 ... 81.108913 81.108913
19 2688.0 83.369354 ... 89.464755 89.676257
20 2816.0 81.981598 ... 83.392363 82.916747
21 2944.0 81.967162 ... 81.034195 81.832567
22 3072.0 82.301023 ... 87.924073 88.612060
23 3200.0 78.816219 ... 94.814812 95.380032
24 3328.0 84.101981 ... 82.275764 85.500351
25 3456.0 81.849303 ... 83.893412 90.281712
26 3584.0 87.211821 ... 98.537414 90.367227
27 3712.0 80.627396 ... 87.132441 87.018592
28 3840.0 84.940091 ... 92.236860 84.548438
29 3968.0 92.302520 ... 84.154440 90.724116
30 4096.0 86.478753 ... 90.169784 87.097813
[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:** ( 5 minutes 55.972 seconds)
**Total running time of the script:** ( 5 minutes 57.081 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

2
master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
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@@ -240,7 +240,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.480 seconds)
**Total running time of the script:** ( 0 minutes 0.497 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

58
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 307.200008 98.303995 303.407414
0 1024.0 307.200008 97.912354 303.407414
1 1536.0 347.773587 134.540150 341.333333
2 2048.0 420.102553 161.684218 323.368435
3 2560.0 455.111129 181.775141 325.079368
4 3072.0 511.999982 192.501302 319.168834
5 3584.0 547.872604 208.271186 311.652167
6 4096.0 568.231237 220.412561 299.707322
7 4608.0 504.986315 232.825259 286.507772
8 5120.0 527.381977 242.845844 284.444444
9 5632.0 542.843364 243.545956 289.438969
10 6144.0 546.133354 248.661056 286.322318
11 6656.0 534.260858 256.000009 285.767438
12 7168.0 507.469040 260.260201 285.767449
13 7680.0 479.999983 262.564106 279.272719
14 8192.0 462.607053 267.493874 284.526763
15 8704.0 417.791980 267.815384 284.987724
16 9216.0 431.157889 272.059034 288.751954
17 9728.0 438.857162 280.278512 290.027323
18 10240.0 449.287041 286.767793 290.496460
19 10752.0 426.525614 247.172406 290.594591
20 11264.0 426.397479 245.536784 286.676558
21 11776.0 423.089806 249.667843 288.981596
22 12288.0 419.504980 254.673582 294.029924
23 12800.0 414.016170 253.674644 289.538159
24 13312.0 411.181478 252.559690 289.916513
25 13824.0 404.604870 257.390218 292.056329
26 14336.0 393.665895 254.297107 286.959121
27 14848.0 385.245405 257.665934 289.481735
28 15360.0 373.495460 257.970599 287.102804
29 15872.0 371.637071 261.626369 289.899545
3 2560.0 458.507457 181.238943 330.322572
4 3072.0 511.999982 192.501302 320.556515
5 3584.0 547.872604 208.271186 312.785456
6 4096.0 568.231237 220.907859 300.623865
7 4608.0 507.302750 232.825259 287.999990
8 5120.0 527.381977 242.845844 285.104413
9 5632.0 540.671974 241.371422 288.204696
10 6144.0 548.163546 250.349744 287.438593
11 6656.0 534.260858 256.000009 286.279570
12 7168.0 512.000004 255.240352 280.182402
13 7680.0 485.052616 263.690977 277.172933
14 8192.0 463.698115 268.223740 281.673345
15 8704.0 418.629245 266.109560 282.291896
16 9216.0 432.845409 272.394084 288.375482
17 9728.0 439.683593 278.606213 287.173424
18 10240.0 446.025405 286.767793 288.112552
19 10752.0 423.724151 244.827326 288.321786
20 11264.0 426.397479 245.983625 287.285864
21 11776.0 421.198220 247.807112 287.219500
22 12288.0 420.701865 254.453844 294.911986
23 12800.0 413.458944 252.009851 287.910035
24 13312.0 411.181478 253.763296 290.972683
25 13824.0 403.620451 258.191439 292.829653
26 14336.0 394.116833 255.240352 289.372589
27 14848.0 385.245405 256.552919 289.952797
28 15360.0 379.649845 262.751252 289.811315
29 15872.0 370.913333 261.806182 289.899545
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 11.400 seconds)
**Total running time of the script:** ( 2 minutes 12.137 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

12
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,16 +5,16 @@
Computation times
=================
**13:08.793** total execution time for **getting-started_tutorials** files:
**13:07.810** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:55.972 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:57.081 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:20.786 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.681 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.400 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.137 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.155 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.414 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.480 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.497 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+