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[GH-PAGES] Updated website

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Philippe Tillet
2022-09-01 00:49:59 +00:00
parent cb05587449
commit 41ab369e01
165 changed files with 280 additions and 280 deletions
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6
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -238,14 +238,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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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 51.771 seconds)
**Total running time of the script:** ( 1 minutes 49.009 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

12
master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -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 158.759699
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.936606
94 12288.0 812.429770 415.661740 199.197579
95 12416.0 812.498981 412.149375 198.854847
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93 12160.0 812.359066 406.179533 198.733401
94 12288.0 812.429770 415.661740 198.995960
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96 12544.0 810.925276 412.546756 198.913776
97 12672.0 811.007961 412.097543 198.971549
[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 31.799 seconds)
**Total running time of the script:** ( 3 minutes 30.846 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

48
master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
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@@ -460,36 +460,36 @@ 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
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
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
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 47.396572 47.396572
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 ... 68.147202 67.305878
10 1536.0 80.430545 ... 81.355034 78.643199
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 80.430545 79.526831
11 1664.0 62.929456 ... 63.372618 62.492442
12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.257735 71.257735
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 86.367588
16 2304.0 68.446623 ... 78.064941 76.809875
17 2432.0 71.305746 ... 85.915795 84.621881
18 2560.0 78.019048 ... 82.539044 81.310171
19 2688.0 83.369354 ... 90.748936 89.254248
20 2816.0 79.733474 ... 84.197315 83.712490
21 2944.0 79.610276 ... 83.060049 82.102191
22 3072.0 82.301023 ... 89.451983 88.197981
23 3200.0 85.447263 ... 97.116842 95.380032
24 3328.0 83.178850 ... 85.196803 84.695641
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26 3584.0 87.381330 ... 98.375705 98.591437
27 3712.0 82.423549 ... 89.035062 87.552452
28 3840.0 82.716526 ... 85.930069 90.058629
29 3968.0 87.913500 ... 91.678389 85.212248
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16 2304.0 68.446623 ... 78.064941 77.307030
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18 2560.0 77.833728 ... 82.539044 81.108913
19 2688.0 83.369354 ... 90.532356 89.044730
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21 2944.0 82.373605 ... 83.060049 81.967162
22 3072.0 82.062468 ... 89.451983 87.787755
23 3200.0 79.701121 ... 88.765601 95.880147
24 3328.0 83.323259 ... 83.808259 83.034941
25 3456.0 82.688790 ... 84.597660 87.442050
26 3584.0 86.291162 ... 97.416461 98.483450
27 3712.0 82.152425 ... 83.526206 87.629253
28 3840.0 81.019778 ... 88.544438 90.352941
29 3968.0 87.976885 ... 92.652949 85.242012
30 4096.0 93.271527 ... 87.211002 84.573239
[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:** ( 7 minutes 16.811 seconds)
**Total running time of the script:** ( 6 minutes 35.059 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 0.283 seconds)
**Total running time of the script:** ( 0 minutes 0.012 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -40,34 +40,34 @@ Layer Normalization
N Triton Torch Apex
0 1024.0 585.142849 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 668.734716 334.367358 520.126988
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 458.751978
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 670.254540 396.387087 426.173427
8 5120.0 688.403381 397.669909 426.666652
9 5632.0 704.000002 395.228063 413.357796
10 6144.0 697.191505 402.885254 411.313806
2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 365.714281 512.000013
4 3072.0 712.347810 378.092307 496.484863
5 3584.0 725.873439 384.859062 448.000001
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 670.254540 394.267384 426.173427
8 5120.0 688.403381 397.669909 420.102563
9 5632.0 704.000002 395.228063 415.262685
10 6144.0 697.191505 402.885254 409.600010
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 686.754468 396.844306 387.459443
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14 8192.0 633.198054 393.609605 371.308771
12 7168.0 690.891575 396.844306 386.154893
13 7680.0 678.895043 393.846167 386.415087
14 8192.0 636.271854 393.609605 371.308771
15 8704.0 627.315309 389.005597 380.502740
16 9216.0 606.814809 407.337026 383.999986
17 9728.0 587.350922 409.599987 383.369452
18 10240.0 564.965524 408.578556 382.803739
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21 11776.0 520.486200 409.599991 378.345375
22 12288.0 514.680630 414.784810 383.251457
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25 13824.0 482.934503 411.888257 379.389355
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 15872.0 446.312810 406.974373 376.225175
29 15872.0 447.098578 406.974373 376.225175
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 34.312 seconds)
**Total running time of the script:** ( 5 minutes 36.661 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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@@ -390,7 +390,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.074 seconds)
**Total running time of the script:** ( 0 minutes 0.072 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

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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 0.266 seconds)
**Total running time of the script:** ( 0 minutes 0.010 seconds)
.. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:

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master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,20 +5,20 @@
Computation times
=================
**18:15.317** total execution time for **getting-started_tutorials** files:
**17:31.669** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:16.811 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:35.059 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:34.312 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:36.661 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.799 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.846 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:51.771 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:49.009 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.283 | 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_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.266 | 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_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.074 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+