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[GH-PAGES] Updated website

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This commit is contained in:
Philippe Tillet
2022-09-06 00:50:44 +00:00
parent af0e35297e
commit c46759fc89
161 changed files with 238 additions and 238 deletions
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2
master/_sources/getting-started/tutorials/01-vector-add.rst.txt
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@@ -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 43.794 seconds)
**Total running time of the script:** ( 1 minutes 44.974 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

4
master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt
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@@ -287,7 +287,7 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
93 12160.0 812.359066 406.179533 198.733401
94 12288.0 812.429770 415.661740 198.995960
95 12416.0 812.498981 412.149375 198.655991
96 12544.0 812.566838 412.971190 198.864492
96 12544.0 810.925276 412.546756 198.864492
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 29.999 seconds)
**Total running time of the script:** ( 3 minutes 30.087 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

52
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 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 16.384000 16.384000
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 7.899428
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
7 1152.0 45.242181 ... 47.396572 47.396572
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
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 81.355034 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
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 85.998493
16 2304.0 68.251065 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 83.614477
18 2560.0 78.019048 ... 82.747477 81.715711
19 2688.0 83.737433 ... 90.316801 89.254248
20 2816.0 79.733474 ... 84.197315 83.074685
21 2944.0 82.034625 ... 83.060049 82.237674
22 3072.0 82.661468 ... 85.147525 88.750943
23 3200.0 84.768213 ... 94.814812 95.808380
24 3328.0 83.034941 ... 85.096096 81.346098
25 3456.0 81.026701 ... 89.579522 83.545665
26 3584.0 85.633710 ... 93.661869 94.947616
27 3712.0 85.455380 ... 87.246590 87.552452
28 3840.0 81.738356 ... 89.766237 89.693434
29 3968.0 88.938731 ... 92.163097 85.093402
30 4096.0 93.401342 ... 86.009438 85.543487
11 1664.0 63.372618 ... 63.822072 62.492442
12 1792.0 72.983276 ... 73.943582 59.625589
13 1920.0 69.467336 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
15 2176.0 83.155572 ... 87.304326 85.998493
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.179335 85.653855
18 2560.0 77.833728 ... 82.956960 81.715711
19 2688.0 83.369354 ... 90.102270 89.464755
20 2816.0 80.099554 ... 84.687779 83.873477
21 2944.0 82.237674 ... 83.337844 82.102191
22 3072.0 81.589488 ... 89.877939 88.335577
23 3200.0 84.210524 ... 95.808380 93.841640
24 3328.0 84.003845 ... 85.398926 84.895397
25 3456.0 81.766291 ... 92.033756 91.200871
26 3584.0 86.125852 ... 92.220917 94.647779
27 3712.0 85.309435 ... 89.035062 82.287760
28 3840.0 84.485870 ... 92.817458 88.686451
29 3968.0 92.372393 ... 85.033178 90.724116
30 4096.0 86.202781 ... 92.820009 88.563330
[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 31.264 seconds)
**Total running time of the script:** ( 6 minutes 33.939 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

20
master/_sources/getting-started/tutorials/05-layer-norm.rst.txt
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@@ -40,16 +40,16 @@ 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 365.714281 518.481028
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 455.111115
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 421.302872
8 5120.0 688.403381 397.669909 424.455959
9 5632.0 704.000002 395.228063 413.357796
7 4608.0 670.254540 394.267384 426.173427
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 395.228063 415.262685
10 6144.0 697.191505 402.885254 409.600010
11 6656.0 700.631610 400.360920 400.360920
11 6656.0 705.271522 400.360920 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
@@ -60,14 +60,14 @@ Layer Normalization
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 12288.0 514.680630 413.911572 383.251457
22 12288.0 513.336807 413.911572 383.251457
23 12800.0 504.433489 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.976995
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 15872.0 447.098578 406.974373 376.225175
29 15872.0 447.887117 406.974373 376.225175
@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 33.449 seconds)
**Total running time of the script:** ( 5 minutes 35.450 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 0.073 seconds)
**Total running time of the script:** ( 0 minutes 0.075 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

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master/_sources/getting-started/tutorials/sg_execution_times.rst.txt
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@@ -5,18 +5,18 @@
Computation times
=================
**17:18.602** total execution time for **getting-started_tutorials** files:
**17:24.547** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:31.264 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:33.939 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:33.449 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:35.450 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:29.999 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.087 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.794 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:44.974 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.073 | 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_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.012 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+