gaspersic/triton
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[GH-PAGES] Updated website

Browse Source
This commit is contained in:
Philippe Tillet
2022-06-17 00:46:29 +00:00
parent 2c4a040453
commit 4412443b59
158 changed files with 242 additions and 242 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
View File

@@ -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 47.631 seconds)
**Total running time of the script:** ( 1 minutes 47.538 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

12
master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
View File

@@ -284,11 +284,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 812.498981 412.149375 198.954424
96 12544.0 812.566838 412.971190 199.160520
97 12672.0 812.633240 412.097543 199.264875
93 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 415.661740 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 810.925276 412.971190 198.815254
97 12672.0 812.633240 412.097543 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 25.662 seconds)
**Total running time of the script:** ( 3 minutes 22.808 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

42
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
View File

@@ -460,7 +460,7 @@ 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 3.276800
1 384.0 7.372800 ... 7.899428 8.507077
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 ... 34.028308 34.028308
@@ -469,27 +469,27 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 66.485074
10 1536.0 80.430545 ... 81.355034 78.643199
11 1664.0 63.372618 ... 63.372618 62.492442
10 1536.0 79.526831 ... 81.355034 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 68.776119 ... 71.257735 70.892307
13 1920.0 69.120002 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.033565 76.959706
15 2176.0 83.155572 ... 87.494120 85.632545
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.487187 ... 86.711310 74.918570
18 2560.0 77.833728 ... 82.331658 81.512437
19 2688.0 84.015627 ... 89.888756 89.464755
20 2816.0 84.035084 ... 84.852542 83.233226
21 2944.0 82.237674 ... 83.899046 82.509987
22 3072.0 82.062468 ... 89.735509 88.473602
23 3200.0 83.224970 ... 95.952022 95.665176
24 3328.0 82.891535 ... 85.703924 84.995628
25 3456.0 82.604067 ... 92.191613 86.876687
26 3584.0 87.296493 ... 98.375705 97.840469
27 3712.0 85.091436 ... 89.194055 86.192706
28 3840.0 85.070769 ... 93.484358 88.191387
29 3968.0 91.816356 ... 88.167587 91.472214
30 4096.0 88.475759 ... 89.777746 88.359266
15 2176.0 83.155572 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.711310 75.118889
18 2560.0 77.833728 ... 82.956960 81.310171
19 2688.0 83.922689 ... 90.316801 89.254248
20 2816.0 83.712490 ... 84.360174 83.392363
21 2944.0 81.698415 ... 83.477440 82.509987
22 3072.0 82.420822 ... 90.020831 89.030036
23 3200.0 84.768213 ... 97.859331 95.380032
24 3328.0 83.034941 ... 86.011103 83.613586
25 3456.0 80.945348 ... 87.158452 81.105671
26 3584.0 87.211821 ... 99.354022 91.844118
27 3712.0 84.159518 ... 88.955779 88.483034
28 3840.0 84.292684 ... 93.484358 84.483849
29 3968.0 92.688139 ... 85.093402 91.472214
30 4096.0 86.620022 ... 88.621807 91.366730
[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 6.317 seconds)
**Total running time of the script:** ( 6 minutes 12.160 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

2
master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
View File

@@ -240,7 +240,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.500 seconds)
**Total running time of the script:** ( 0 minutes 0.472 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

30
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
View File

@@ -38,25 +38,25 @@ Layer Normalization
layer-norm:
N Triton Torch Apex
0 1024.0 585.142849 277.694907 481.882344
0 1024.0 585.142849 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 365.714281 512.000013
3 2560.0 694.237267 362.477870 518.481028
4 3072.0 712.347810 378.092307 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 676.403666 396.387087 428.651163
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 395.228063 417.185184
5 3584.0 725.873439 384.859062 458.751978
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 670.254540 396.387087 426.173427
8 5120.0 694.237267 397.669909 426.666652
9 5632.0 704.000002 395.228063 413.357796
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
11 6656.0 700.631610 400.360920 398.861429
12 7168.0 695.078767 396.844306 388.772874
13 7680.0 682.666656 392.587863 387.634072
14 8192.0 639.375598 393.609605 372.363633
14 8192.0 642.509816 393.609605 372.363633
15 8704.0 630.153861 389.005597 380.502740
16 9216.0 609.322328 407.337026 383.002605
17 9728.0 589.575753 409.599987 382.427505
18 10240.0 566.920437 408.578556 381.911416
16 9216.0 609.322328 407.337026 383.999986
17 9728.0 589.575753 409.599987 383.369452
18 10240.0 566.920437 408.578556 382.803739
19 10752.0 549.623009 411.559798 381.445676
20 11264.0 536.380957 406.826188 373.134567
21 11776.0 523.377770 409.599991 377.587162
@@ -67,7 +67,7 @@ Layer Normalization
26 14336.0 471.967074 406.695045 374.185964
27 14848.0 461.297068 408.192434 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.887117 406.974373 376.225175
29 15872.0 447.098578 406.974373 376.225175
@@ -389,7 +389,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 10.415 seconds)
**Total running time of the script:** ( 5 minutes 26.669 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

12
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
View File

@@ -5,16 +5,16 @@
Computation times
=================
**16:30.525** total execution time for **getting-started_tutorials** files:
**16:49.647** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.317 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:12.160 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:10.415 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:26.669 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.662 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.808 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.631 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.538 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.500 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.472 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+