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[GH-PAGES] Updated website

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This commit is contained in:
Philippe Tillet
2022-05-01 00:49:06 +00:00
parent e15e7e5ae2
commit 0bce260523
156 changed files with 280 additions and 280 deletions
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4
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -241,7 +241,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
9 2097152.0 722.823517 702.171410
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
@@ -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 46.703 seconds)
**Total running time of the script:** ( 1 minutes 40.152 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

18
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 188.321838
1 384.0 585.142862 585.142862 151.703707
0 256.0 512.000001 546.133347 186.181817
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 160.000000
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 199.038365
94 12288.0 814.111783 415.222812 199.298541
95 12416.0 814.163950 412.149375 198.954424
96 12544.0 814.214963 412.546756 199.111113
97 12672.0 814.265046 411.679167 199.264875
93 12160.0 814.058574 405.755985 198.631953
94 12288.0 814.111783 415.661740 198.895304
95 12416.0 814.163950 412.149375 198.556711
96 12544.0 814.214963 412.971190 198.716830
97 12672.0 814.265046 411.679167 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 28.363 seconds)
**Total running time of the script:** ( 3 minutes 27.921 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

66
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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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 ... 7.899428 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 ... 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 ... 69.009825 67.305878
10 1536.0 79.526831 ... 80.430545 79.526831
11 1664.0 63.372618 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.142831 62.790080
13 1920.0 68.776119 ... 71.257735 70.892307
14 2048.0 73.908442 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 78.064941 77.558029
17 2432.0 71.305746 ... 75.726318 75.320281
18 2560.0 77.833728 ... 82.539044 82.125311
19 2688.0 83.552988 ... 91.625737 90.748936
20 2816.0 79.587973 ... 82.290955 84.197315
21 2944.0 81.232324 ... 83.477440 83.899046
22 3072.0 81.121923 ... 89.451983 89.735509
23 3200.0 84.656085 ... 96.240602 96.096095
24 3328.0 83.905938 ... 83.323259 82.939284
25 3456.0 82.519518 ... 86.876687 92.033756
26 3584.0 87.808000 ... 100.017124 99.354022
27 3712.0 84.874549 ... 88.561477 88.797643
28 3840.0 84.292684 ... 92.159996 85.597527
29 3968.0 91.816356 ... 87.976885 90.589410
30 4096.0 87.552332 ... 94.519528 88.011627
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 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 ... 41.321411 39.025776
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 ... 69.009825 68.147202
10 1536.0 80.430545 ... 80.430545 80.430545
11 1664.0 63.372618 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 68.776119 ... 71.257735 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 ... 78.064941 77.558029
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 82.539044 82.331658
19 2688.0 84.108772 ... 91.185232 90.966561
20 2816.0 80.469019 ... 83.552120 84.523664
21 2944.0 81.832567 ... 84.324925 83.758038
22 3072.0 81.589488 ... 87.246694 89.451983
23 3200.0 85.106381 ... 96.385543 95.952022
24 3328.0 83.905938 ... 85.908470 86.113988
25 3456.0 82.604067 ... 85.043848 89.480098
26 3584.0 84.111686 ... 92.410473 94.747514
27 3712.0 85.675250 ... 85.896254 88.404730
28 3840.0 81.138664 ... 88.261772 91.701494
29 3968.0 87.976885 ... 92.477403 85.811488
30 4096.0 93.401342 ... 84.733417 86.872315
[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 48.929 seconds)
**Total running time of the script:** ( 6 minutes 55.944 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

38
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -39,35 +39,35 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
0 1024.0 361.411758 97.912354 303.407414
1 1536.0 409.599994 134.540150 341.333333
2 2048.0 491.520012 161.154101 334.367350
3 2560.0 461.954908 181.238943 330.322572
4 3072.0 519.211251 192.501302 323.368415
5 3584.0 554.941930 208.271186 311.652167
1 1536.0 405.098894 134.540150 341.333333
2 2048.0 496.484863 161.154101 323.368435
3 2560.0 465.454542 181.238943 326.808501
4 3072.0 519.211251 192.501302 321.956335
5 3584.0 558.545477 208.271186 311.652167
6 4096.0 561.737163 220.907859 297.890900
7 4608.0 502.690905 232.825259 287.251954
8 5120.0 525.128191 242.366855 284.444444
9 5632.0 542.843364 243.107920 290.060087
10 6144.0 544.118087 248.661056 286.879370
11 6656.0 527.207907 256.000009 285.767438
8 5120.0 525.128191 242.366855 287.102804
9 5632.0 540.671974 243.107920 289.438969
10 6144.0 546.133354 248.661056 286.879370
11 6656.0 527.207907 256.000009 285.257135
12 7168.0 503.017523 260.260201 284.821192
13 7680.0 482.513091 262.938666 280.121579
13 7680.0 483.779539 262.938666 280.121579
14 8192.0 463.698115 266.406514 284.526763
15 8704.0 414.476194 267.472468 284.987724
16 9216.0 428.651187 271.724806 287.999990
17 9728.0 437.213490 280.615388 290.027323
17 9728.0 436.396262 280.278512 290.027323
18 10240.0 446.025405 286.433562 290.153487
19 10752.0 428.651173 246.935876 290.267711
20 11264.0 426.397479 245.536784 286.980888
21 11776.0 420.571432 249.888595 288.981596
21 11776.0 421.198220 249.888595 288.981596
22 12288.0 416.542386 254.673582 294.617366
23 12800.0 410.695192 254.094291 289.811310
24 13312.0 409.075539 253.160074 290.443638
25 13824.0 404.604870 257.390218 292.056329
26 14336.0 394.116833 255.051144 286.959121
23 12800.0 410.695192 254.094291 288.180121
24 13312.0 409.075539 253.360814 290.443638
25 13824.0 405.098897 257.390218 292.056329
26 14336.0 394.116833 254.862216 286.959121
27 14848.0 385.662341 257.852379 289.952797
28 15360.0 380.433442 257.970599 287.550706
29 15872.0 370.192407 261.806182 290.341468
28 15360.0 380.433442 257.970599 286.433562
29 15872.0 370.552519 261.626369 290.341468
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 14.282 seconds)
**Total running time of the script:** ( 2 minutes 14.484 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

10
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,16 +5,16 @@
Computation times
=================
**14:18.601** total execution time for **getting-started_tutorials** files:
**14:18.825** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:48.929 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:55.944 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:28.363 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.921 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.282 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.484 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:46.703 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.152 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.323 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+