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[GH-PAGES] Updated website

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This commit is contained in:
Philippe Tillet
2022-02-26 00:40:31 +00:00
parent ee0571dacd
commit 3a6c779d62
158 changed files with 262 additions and 262 deletions
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2
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -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 37.620 seconds)
**Total running time of the script:** ( 1 minutes 41.632 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

16
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 192.752942
0 256.0 512.000001 546.133347 188.321838
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
4 768.0 722.823517 664.216187 161.684218
.. ... ... ... ...
93 12160.0 814.058574 406.179533 199.038365
94 12288.0 814.111783 415.661740 199.298541
95 12416.0 814.163950 412.149375 198.854847
96 12544.0 814.214963 412.971190 199.111113
97 12672.0 814.265046 411.679167 199.167004
93 12160.0 814.058574 406.179533 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 412.149375 198.655991
96 12544.0 814.214963 412.971190 198.913776
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 18.443 seconds)
**Total running time of the script:** ( 3 minutes 20.741 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

54
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 2.978909 ... 2.978909 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
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 23.272727
4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
5 896.0 37.971025 ... 39.025776 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 65.684049
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 69.120002 ... 70.172588 70.172588
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 79.526831 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.512412 72.047592
13 1920.0 69.467336 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.446623 ... 77.057651 76.809875
17 2432.0 71.487187 ... 84.367759 85.134737
18 2560.0 78.019048 ... 80.908642 80.511054
19 2688.0 83.737433 ... 89.888756 89.254248
20 2816.0 81.827785 ... 82.602666 82.135981
21 2944.0 82.237674 ... 82.237674 82.102191
22 3072.0 81.589488 ... 88.473602 88.197981
23 3200.0 84.656085 ... 95.096582 94.955488
24 3328.0 83.034941 ... 84.200347 83.808259
25 3456.0 78.655188 ... 87.823058 87.632137
26 3584.0 87.466332 ... 98.375705 93.467144
27 3712.0 84.159518 ... 87.018592 88.092894
28 3840.0 79.505392 ... 87.217666 91.473945
29 3968.0 85.871877 ... 91.062642 84.038524
30 4096.0 93.012976 ... 86.396995 89.958266
15 2176.0 83.155572 ... 85.998493 85.632545
16 2304.0 68.251065 ... 76.809875 76.563695
17 2432.0 71.487187 ... 84.877538 84.877538
18 2560.0 77.833728 ... 80.908642 80.709358
19 2688.0 83.552988 ... 89.888756 89.254248
20 2816.0 83.074685 ... 82.602666 82.290955
21 2944.0 82.102191 ... 82.102191 82.237674
22 3072.0 82.301023 ... 88.542777 88.335577
23 3200.0 83.989503 ... 95.380032 94.955488
24 3328.0 83.226931 ... 84.695641 84.795401
25 3456.0 80.220468 ... 84.156124 88.497878
26 3584.0 82.189576 ... 89.646457 93.370085
27 3712.0 85.748791 ... 86.264806 93.014284
28 3840.0 81.859361 ... 87.355452 91.398346
29 3968.0 85.991957 ... 91.369474 84.094627
30 4096.0 93.466385 ... 87.381330 84.254693
[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 56.421 seconds)
**Total running time of the script:** ( 5 minutes 54.058 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 0.486 seconds)
**Total running time of the script:** ( 0 minutes 0.497 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

44
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -38,35 +38,35 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 311.088617 98.303995 307.200008
1 1536.0 347.773587 134.540150 344.523365
0 1024.0 307.200008 98.303995 303.407414
1 1536.0 347.773587 134.540150 341.333333
2 2048.0 420.102553 161.684218 334.367350
3 2560.0 458.507457 181.775141 330.322572
3 2560.0 455.111129 181.775141 330.322572
4 3072.0 511.999982 192.501302 320.556515
5 3584.0 547.872604 208.271186 311.652167
6 4096.0 568.231237 220.412561 297.890900
7 4608.0 507.302750 232.825259 287.251954
8 5120.0 529.655159 242.845844 285.104413
9 5632.0 545.032265 243.545956 290.060087
5 3584.0 547.872604 207.768111 311.652167
6 4096.0 564.965515 220.412561 297.890900
7 4608.0 507.302750 232.825259 286.507772
8 5120.0 527.381977 242.845844 285.104413
9 5632.0 542.843364 243.545956 290.060087
10 6144.0 546.133354 248.661056 286.879370
11 6656.0 534.260858 256.000009 285.767438
12 7168.0 505.976473 260.654538 286.242939
13 7680.0 482.513091 262.564106 278.429013
14 8192.0 463.698115 267.493874 284.939124
15 8704.0 418.629245 267.815384 284.987724
13 7680.0 482.513091 262.564106 278.850215
14 8192.0 462.607053 267.130429 284.939124
15 8704.0 418.629245 267.815384 285.377055
16 9216.0 432.845409 272.394084 288.751954
17 9728.0 439.683593 280.615388 289.667485
18 10240.0 448.467168 286.433562 290.153487
19 10752.0 426.525614 247.172406 290.922209
18 10240.0 449.287041 286.433562 290.153487
19 10752.0 425.821771 246.935876 290.922209
20 11264.0 427.071098 245.536784 286.676558
21 11776.0 423.724129 249.667843 288.981596
22 12288.0 419.504980 254.673582 294.323369
23 12800.0 413.458944 253.465340 289.811310
24 13312.0 412.242569 252.959629 290.048115
25 13824.0 405.594132 257.190689 292.056329
26 14336.0 395.021816 254.485198 286.719986
27 14848.0 386.498925 257.665934 289.246765
28 15360.0 373.495460 257.970599 288.000007
21 11776.0 423.089806 249.667843 288.981596
22 12288.0 420.102570 254.453844 294.323369
23 12800.0 414.016170 253.465340 288.180121
24 13312.0 412.242569 252.759501 289.916513
25 13824.0 405.594132 257.390218 292.056329
26 14336.0 394.568805 254.485198 286.719986
27 14848.0 386.080180 257.479779 289.246765
28 15360.0 373.495460 257.790220 287.550706
29 15872.0 371.274849 261.806182 289.899545
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 11.775 seconds)
**Total running time of the script:** ( 2 minutes 12.350 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
=================
**13:04.745** total execution time for **getting-started_tutorials** files:
**13:09.277** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.421 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:54.058 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:18.443 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:20.741 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.775 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.350 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:37.620 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.632 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.486 | 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 |
+---------------------------------------------------------------------------------------------------------+-----------+--------+