[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-04-18 00:44:04 +00:00
parent 51e029840e
commit abcd11edba
158 changed files with 282 additions and 282 deletions

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@@ -234,8 +234,8 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
size Triton Torch
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 31.999999 31.999999
3 32768.0 63.999998 76.800002
2 16384.0 31.999999 38.400001
3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 341.333321 341.333321
@@ -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 43.751 seconds)
**Total running time of the script:** ( 1 minutes 40.596 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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@@ -279,15 +279,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 190.511628
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 162.754967
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 156.038096
3 640.0 682.666684 640.000002 160.000000
4 768.0 722.823517 646.736871 163.839992
.. ... ... ... ...
93 12160.0 814.058574 406.179533 199.038365
94 12288.0 815.800825 415.661740 199.197579
95 12416.0 814.163950 412.149375 198.954424
96 12544.0 814.214963 412.971190 199.061730
93 12160.0 814.058574 405.755985 198.936606
94 12288.0 815.800825 415.442160 199.197579
95 12416.0 814.163950 412.149375 198.854847
96 12544.0 814.214963 412.971190 199.012395
97 12672.0 814.265046 412.097543 199.167004
[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 26.512 seconds)
**Total running time of the script:** ( 3 minutes 25.444 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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@@ -458,37 +458,37 @@ 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 ... 8.507077 7.899428
2 512.0 14.563555 ... 15.420235 15.420235
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 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 37.971025 ... 40.140799 40.140799
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 58.514284 57.690139
6 1024.0 49.932191 ... 53.773130 53.773130
7 1152.0 44.566925 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 69.009825
10 1536.0 80.430545 ... 81.355034 80.430545
11 1664.0 63.372618 ... 63.822072 63.372618
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.142831 62.790080
13 1920.0 69.120002 ... 71.626943 70.892307
14 2048.0 73.584279 ... 78.033565 78.033565
14 2048.0 73.262953 ... 78.398206 78.033565
15 2176.0 83.155572 ... 87.494120 86.739860
16 2304.0 68.251065 ... 77.558029 77.558029
17 2432.0 71.125224 ... 75.726318 75.320281
18 2560.0 77.833728 ... 82.331658 82.125311
19 2688.0 83.369354 ... 90.316801 90.748936
20 2816.0 83.873477 ... 83.954203 84.035084
21 2944.0 82.784108 ... 83.477440 84.182483
22 3072.0 81.825298 ... 89.310890 88.335577
23 3200.0 83.009080 ... 92.753621 95.952022
24 3328.0 82.558825 ... 83.323259 84.003845
25 3456.0 81.849303 ... 89.679166 90.484366
26 3584.0 86.958797 ... 99.025764 99.795109
27 3712.0 83.386762 ... 87.629253 88.326564
28 3840.0 80.197243 ... 85.597527 91.701494
29 3968.0 88.103928 ... 87.913500 85.992909
30 4096.0 89.657802 ... 84.201835 90.748973
16 2304.0 68.446623 ... 77.810656 77.558029
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 81.512437 81.715711
19 2688.0 83.552988 ... 90.966561 90.532356
20 2816.0 83.873477 ... 83.712490 83.712490
21 2944.0 81.832567 ... 84.040530 83.899046
22 3072.0 81.121923 ... 88.890270 88.750943
23 3200.0 84.544253 ... 95.665176 94.117647
24 3328.0 79.901550 ... 83.226931 84.795401
25 3456.0 82.519518 ... 88.692595 91.304157
26 3584.0 87.211821 ... 99.134944 99.684470
27 3712.0 80.757757 ... 86.790606 87.399253
28 3840.0 81.019778 ... 85.531326 91.322872
29 3968.0 86.114283 ... 90.522206 85.811488
30 4096.0 91.491294 ... 83.158446 85.816960
[31 rows x 5 columns]
@@ -498,7 +498,7 @@ 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 2.461 seconds)
**Total running time of the script:** ( 5 minutes 58.307 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

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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:

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@@ -38,36 +38,36 @@ Layer Normalization
layer-norm-backward:
N Triton Torch Apex
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1 1536.0 405.098894 134.540150 338.201833
2 2048.0 491.520012 158.554837 321.254900
3 2560.0 461.954908 182.314537 328.556154
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5 3584.0 551.384634 208.271186 310.527060
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12 7168.0 505.976473 256.000002 280.182402
13 7680.0 483.779539 264.447629 279.272719
14 8192.0 463.698115 265.327937 277.694924
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12 7168.0 510.480705 253.734520 277.919225
13 7680.0 487.619051 266.358392 284.884090
14 8192.0 468.114289 258.354805 278.481578
15 8704.0 414.476194 267.815384 285.377055
16 9216.0 429.483477 272.394084 290.267724
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18 10240.0 444.412281 287.102804 290.153487
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28 15360.0 379.259256 258.332158 287.550706
29 15872.0 372.000001 261.626369 290.562936
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 13.338 seconds)
**Total running time of the script:** ( 2 minutes 12.274 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:26.076** total execution time for **getting-started_tutorials** files:
**13:16.634** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.461 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:58.307 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.512 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.444 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.338 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.274 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.751 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.596 | 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 |
+---------------------------------------------------------------------------------------------------------+-----------+--------+