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Philippe Tillet
2022-08-10 00:48:34 +00:00
parent 24ae9b82dd
commit 4b51054036
165 changed files with 288 additions and 288 deletions
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8
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -233,19 +233,19 @@ 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
1 8192.0 19.200000 15.999999
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 262144.0 384.000001 384.000001
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
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 842.004273
13 33554432.0 842.004273 843.811163
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 41.831 seconds)
**Total running time of the script:** ( 1 minutes 48.722 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)
0 256.0 546.133347 546.133347 190.511628
1 384.0 614.400016 585.142862 151.703707
2 512.0 655.360017 606.814814 156.038096
0 256.0 512.000001 546.133347 186.181817
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 405.333344 199.038365
94 12288.0 812.429770 415.222812 199.197579
95 12416.0 812.498981 411.296057 198.805107
96 12544.0 811.745227 412.971190 199.012395
97 12672.0 811.007961 412.097543 199.167004
93 12160.0 812.359066 405.755985 198.936606
94 12288.0 812.429770 415.661740 199.197579
95 12416.0 812.498981 411.722274 198.755369
96 12544.0 810.925276 412.971190 199.012395
97 12672.0 811.007961 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 28.967 seconds)
**Total running time of the script:** ( 3 minutes 32.036 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

46
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -459,37 +459,37 @@ 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 ... 3.276800 3.276800
0 256.0 2.730667 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
5 896.0 37.971025 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 53.092457
7 1152.0 45.242181 ... 48.161033 48.161033
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
9 1408.0 64.138541 ... 69.009825 67.305878
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11 1664.0 63.372618 ... 63.372618 62.492442
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11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
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15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.305746 ... 85.915795 83.366361
18 2560.0 77.833728 ... 81.715711 81.310171
19 2688.0 83.369354 ... 90.532356 90.102270
20 2816.0 81.445766 ... 84.035084 83.873477
21 2944.0 81.564701 ... 83.477440 82.921853
22 3072.0 82.420822 ... 89.735509 88.750943
23 3200.0 84.544253 ... 97.116842 95.096582
24 3328.0 83.905938 ... 85.806075 83.808259
25 3456.0 82.773682 ... 90.180725 90.687926
26 3584.0 87.042978 ... 99.244365 98.268190
27 3712.0 81.482335 ... 88.718781 88.248537
28 3840.0 82.531346 ... 89.043476 89.912191
29 3968.0 86.911637 ... 92.652949 84.094627
30 4096.0 93.368854 ... 83.313299 89.928129
17 2432.0 71.305746 ... 85.393507 75.522751
18 2560.0 77.833728 ... 82.125311 80.908642
19 2688.0 83.922689 ... 90.966561 89.464755
20 2816.0 81.067298 ... 84.360174 83.873477
21 2944.0 81.967162 ... 83.337844 81.832567
22 3072.0 82.420822 ... 89.310890 88.473602
23 3200.0 83.879425 ... 95.238096 87.671229
24 3328.0 82.369902 ... 85.602017 81.994643
25 3456.0 80.864158 ... 84.332184 90.281712
26 3584.0 87.127323 ... 97.947050 97.205829
27 3712.0 84.159518 ... 89.035062 87.552452
28 3840.0 81.138664 ... 86.332554 90.279183
29 3968.0 87.913500 ... 91.954739 86.358055
30 4096.0 93.271527 ... 84.254693 82.418802
[31 rows x 5 columns]
@@ -499,7 +499,7 @@ 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 37.798 seconds)
**Total running time of the script:** ( 7 minutes 19.813 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 0.012 seconds)
**Total running time of the script:** ( 0 minutes 0.281 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

54
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -38,34 +38,34 @@ Layer Normalization
layer-norm:
N Triton Torch Apex
0 1024.0 585.142849 277.694907 468.114273
0 1024.0 606.814814 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 668.734716 337.814445 520.126988
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9 5632.0 704.000002 396.969169 413.357796
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5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 451.972420
7 4608.0 670.254540 396.387087 431.157877
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9 5632.0 704.000002 395.228063 415.262685
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11 6656.0 700.631610 400.360920 400.360920
12 7168.0 690.891575 391.426634 387.459443
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17 9728.0 587.350922 409.599987 382.427505
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21 11776.0 520.486200 408.711507 377.587162
22 12288.0 516.031509 413.911572 383.251457
23 12800.0 504.433489 410.420828 377.163903
24 13312.0 494.180982 404.159395 375.647260
25 13824.0 482.934503 410.359948 378.739711
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12 7168.0 690.891575 392.767108 382.293315
13 7680.0 678.895043 393.846167 386.415087
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16 9216.0 606.814809 406.214877 382.010363
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18 10240.0 564.965524 409.600010 382.803739
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24 13312.0 494.180982 406.473303 377.645399
25 13824.0 482.934503 412.656711 379.389355
26 14336.0 471.967074 402.414053 370.558967
27 14848.0 461.297068 406.794504 373.534584
28 15360.0 454.269882 406.214870 377.511515
29 15872.0 447.098578 407.627589 376.225175
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 35.089 seconds)
**Total running time of the script:** ( 5 minutes 37.451 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

2
master/_sources/getting-started/tutorials/06-fused-attention.rst.txt
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@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.072 seconds)
**Total running time of the script:** ( 0 minutes 0.073 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

2
master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt
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@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.010 seconds)
**Total running time of the script:** ( 0 minutes 0.254 seconds)
.. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:

16
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,20 +5,20 @@
Computation times
=================
**17:23.779** total execution time for **getting-started_tutorials** files:
**18:18.630** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.798 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:19.813 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:35.089 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.451 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:28.967 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.036 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.831 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:48.722 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.072 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.281 | 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_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.254 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.073 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+