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Philippe Tillet
2022-05-05 00:44:03 +00:00
parent d420763e0b
commit 19398e6d8a
158 changed files with 286 additions and 286 deletions
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8
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -232,16 +232,16 @@ 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 8.000000 9.600000
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 384.000001
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 46.935 seconds)
**Total running time of the script:** ( 1 minutes 24.953 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

14
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
0 256.0 512.000001 546.133347 190.511628
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 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.733401
94 12288.0 814.111783 415.661740 198.995960
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
93 12160.0 814.058574 405.755985 198.530610
94 12288.0 814.111783 415.222812 198.794749
95 12416.0 814.163950 412.149375 198.457532
96 12544.0 814.214963 412.971190 198.618504
97 12672.0 814.265046 411.679167 198.776477
[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 27.513 seconds)
**Total running time of the script:** ( 3 minutes 19.032 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 ... 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 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 ... 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 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 77.558029
17 2432.0 71.305746 ... 75.726318 75.522751
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
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.730667 ... 2.978909 3.276800
1 384.0 7.372800 ... 7.899428 7.899428
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 ... 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 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 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.398206 78.033565
15 2176.0 83.500614 ... 87.115360 86.739860
16 2304.0 68.251065 ... 78.320893 77.810656
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 82.331658 81.715711
19 2688.0 83.552988 ... 90.966561 90.966561
20 2816.0 82.602666 ... 84.687779 84.523664
21 2944.0 82.921853 ... 83.758038 84.182483
22 3072.0 82.181572 ... 89.170242 88.197981
23 3200.0 81.321474 ... 95.238096 94.395283
24 3328.0 82.939284 ... 86.320498 85.908470
25 3456.0 80.140726 ... 87.727494 91.407671
26 3584.0 87.381330 ... 100.128496 99.684470
27 3712.0 83.247783 ... 87.629253 89.194055
28 3840.0 84.228485 ... 92.236860 85.533390
29 3968.0 91.885495 ... 85.093402 90.589410
30 4096.0 91.616198 ... 93.792965 91.242506
[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 7.255 seconds)
**Total running time of the script:** ( 5 minutes 44.529 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 0.014 seconds)
**Total running time of the script:** ( 0 minutes 0.013 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

36
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 1536.0 405.098894 134.540150 341.333333
1 1536.0 409.599994 134.540150 341.333333
2 2048.0 491.520012 161.154101 334.367350
3 2560.0 465.454542 181.238943 330.322572
3 2560.0 461.954908 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
6 4096.0 568.231237 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
13 7680.0 483.779539 262.938666 280.121579
14 8192.0 463.698115 266.587109 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
16 9216.0 426.996150 271.391419 287.999990
17 9728.0 437.213490 280.278512 290.027323
18 10240.0 446.025405 286.433562 290.496460
19 10752.0 429.364408 247.172406 290.594591
20 11264.0 427.071098 245.313973 286.980888
21 11776.0 421.198220 249.667843 289.277383
22 12288.0 416.542386 254.893699 294.617366
23 12800.0 411.244989 253.884294 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
26 14336.0 395.021816 254.862216 287.198654
27 14848.0 386.498925 257.852379 289.717061
28 15360.0 380.433442 257.970599 287.550706
29 15872.0 370.552519 261.626369 290.120338
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 14.074 seconds)
**Total running time of the script:** ( 2 minutes 12.505 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
=================
**13:35.790** total execution time for **getting-started_tutorials** files:
**12:41.032** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :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_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:44.529 | 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_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.032 | 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_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.505 | 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_01-vector-add.py` (``01-vector-add.py``) | 01:24.953 | 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 |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.013 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+