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[GH-PAGES] Updated website

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Philippe Tillet
2022-08-14 00:49:28 +00:00
parent fa97b57bec
commit 36804ec20e
165 changed files with 270 additions and 270 deletions
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6
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 38.400001 38.400001
3 32768.0 63.999998 63.999998
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
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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 35.074 seconds)
**Total running time of the script:** ( 1 minutes 46.290 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

16
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 186.181817
0 256.0 546.133347 546.133347 188.321838
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 606.814814 154.566038
3 640.0 706.206879 640.000002 158.759699
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 198.530610
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 198.716830
97 12672.0 811.007961 412.097543 198.873965
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 416.101597 199.298541
95 12416.0 812.498981 412.149375 198.854847
96 12544.0 810.925276 412.546756 199.209928
97 12672.0 811.007961 412.097543 199.264875
[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 27.238 seconds)
**Total running time of the script:** ( 3 minutes 32.806 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

50
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 2.730667 ... 2.978909 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 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 39.025776 ... 40.140799 39.025776
6 1024.0 51.150050 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
6 1024.0 49.932191 ... 53.773130 52.428801
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
10 1536.0 80.430545 ... 81.355034 79.526831
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.943582 59.784168
13 1920.0 69.467336 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 85.915795 85.653855
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 83.186525 ... 90.102270 89.464755
20 2816.0 80.767055 ... 84.687779 83.873477
21 2944.0 81.832567 ... 83.617504 81.967162
22 3072.0 81.005868 ... 88.060814 86.712254
23 3200.0 78.769229 ... 96.240602 95.522391
24 3328.0 83.419811 ... 84.695641 83.905938
25 3456.0 81.849303 ... 83.544315 89.183149
26 3584.0 87.296493 ... 98.375705 98.375705
27 3712.0 81.548851 ... 88.876645 87.475786
28 3840.0 82.654712 ... 88.828912 89.985351
29 3968.0 85.811488 ... 91.816356 85.212248
30 4096.0 93.142072 ... 88.827088 86.480498
11 1664.0 63.372618 ... 63.822072 62.929456
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.257735 71.257735
14 2048.0 73.908442 ... 78.033565 77.314362
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.251065 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.179335 75.320281
18 2560.0 78.019048 ... 82.331658 81.310171
19 2688.0 83.369354 ... 90.316801 89.464755
20 2816.0 80.026067 ... 84.687779 83.712490
21 2944.0 81.967162 ... 82.784108 82.102191
22 3072.0 82.661468 ... 89.735509 88.612060
23 3200.0 84.768213 ... 88.888888 95.952022
24 3328.0 82.748617 ... 85.602017 83.954863
25 3456.0 82.773682 ... 88.304015 91.200871
26 3584.0 87.296493 ... 98.916823 97.100854
27 3712.0 83.247783 ... 88.404730 87.552452
28 3840.0 83.465663 ... 92.661918 84.582788
29 3968.0 89.789505 ... 88.744681 87.159957
30 4096.0 93.760204 ... 89.837839 89.359338
[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 32.427 seconds)
**Total running time of the script:** ( 6 minutes 37.769 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 0.013 seconds)
**Total running time of the script:** ( 0 minutes 0.012 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

24
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -41,23 +41,23 @@ Layer Normalization
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 365.714281 512.000013
3 2560.0 694.237267 365.714281 518.481028
4 3072.0 712.347810 378.092307 496.484863
5 3584.0 725.873439 384.859062 451.527536
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
7 4608.0 670.254540 394.267384 421.302872
8 5120.0 688.403381 397.669909 424.455959
9 5632.0 704.000002 395.228063 411.470331
10 6144.0 697.191505 402.885254 409.600010
11 6656.0 700.631610 400.360920 400.360920
11 6656.0 700.631610 398.861429 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 678.895043 393.846167 386.415087
14 8192.0 636.271854 393.609605 371.308771
15 8704.0 624.502255 389.005597 380.502740
16 9216.0 604.327881 407.337026 383.999986
14 8192.0 639.375598 393.609605 372.363633
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
19 10752.0 546.133312 411.559798 381.445676
19 10752.0 547.872604 411.559798 381.445676
20 11264.0 533.207081 406.826188 373.134567
21 11776.0 520.486200 409.599991 377.587162
22 12288.0 513.336807 413.911572 383.251457
@@ -66,8 +66,8 @@ Layer Normalization
25 13824.0 482.934503 411.122660 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 377.801688
29 15872.0 447.887117 406.974373 376.225175
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 446.312810 406.974373 376.783377
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 35.079 seconds)
**Total running time of the script:** ( 5 minutes 39.762 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 0.075 seconds)
**Total running time of the script:** ( 0 minutes 0.072 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

14
master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,20 +5,20 @@
Computation times
=================
**17:09.915** total execution time for **getting-started_tutorials** files:
**17:36.721** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.427 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.769 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:35.079 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:39.762 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.238 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:32.806 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:35.074 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:46.290 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.075 | 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``) | 00:00.013 | 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``) | 00:00.010 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+