[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-05-06 00:44:25 +00:00
parent 19398e6d8a
commit ebf28cdc4b
158 changed files with 278 additions and 278 deletions

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@@ -235,13 +235,13 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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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 24.953 seconds)
**Total running time of the script:** ( 1 minutes 38.189 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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@@ -278,16 +278,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
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1 384.0 585.142862 558.545450 151.703707
0 256.0 546.133347 546.133347 188.321838
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 606.814814 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 664.216187 163.839992
.. ... ... ... ...
93 12160.0 814.058574 405.755985 198.530610
94 12288.0 814.111783 415.222812 198.794749
93 12160.0 814.058574 405.755985 198.631953
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95 12416.0 814.163950 412.149375 198.457532
96 12544.0 814.214963 412.971190 198.618504
96 12544.0 814.214963 412.971190 198.716830
97 12672.0 814.265046 411.679167 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 19.032 seconds)
**Total running time of the script:** ( 3 minutes 22.664 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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@@ -457,38 +457,38 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. code-block:: none
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
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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 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 40.140799
6 1024.0 49.932191 ... 53.773130 53.773130
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 80.430545 ... 80.430545 80.430545
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12 1792.0 72.983276 ... 63.499573 63.142831
13 1920.0 68.776119 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.398206 78.033565
15 2176.0 83.500614 ... 87.115360 86.739860
16 2304.0 68.251065 ... 78.320893 77.810656
17 2432.0 71.305746 ... 75.726318 75.522751
18 2560.0 77.833728 ... 82.331658 81.715711
19 2688.0 83.552988 ... 90.966561 90.966561
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21 2944.0 82.921853 ... 83.758038 84.182483
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23 3200.0 81.321474 ... 95.238096 94.395283
24 3328.0 82.939284 ... 86.320498 85.908470
25 3456.0 80.140726 ... 87.727494 91.407671
26 3584.0 87.381330 ... 100.128496 99.684470
27 3712.0 83.247783 ... 87.629253 89.194055
28 3840.0 84.228485 ... 92.236860 85.533390
29 3968.0 91.885495 ... 85.093402 90.589410
30 4096.0 91.616198 ... 93.792965 91.242506
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 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 37.971025 ... 40.140799 39.025776
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 79.526831 ... 79.526831 79.526831
11 1664.0 62.929456 ... 63.372618 62.929456
12 1792.0 72.512412 ... 63.142831 62.790080
13 1920.0 69.120002 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.033565 77.672296
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.251065 ... 77.810656 77.810656
17 2432.0 71.305746 ... 75.522751 75.320281
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19 2688.0 83.737433 ... 91.185232 90.748936
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21 2944.0 81.298583 ... 83.899046 84.040530
22 3072.0 82.540970 ... 90.164177 89.735509
23 3200.0 84.656085 ... 96.385543 96.240602
24 3328.0 83.226931 ... 85.602017 84.249616
25 3456.0 81.849303 ... 85.133652 84.864807
26 3584.0 87.466332 ... 99.684470 99.354022
27 3712.0 81.548851 ... 84.159518 87.706180
28 3840.0 84.874902 ... 86.535214 91.398346
29 3968.0 88.040360 ... 92.442373 86.480463
30 4096.0 93.760204 ... 91.992956 90.871857
[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:** ( 5 minutes 44.529 seconds)
**Total running time of the script:** ( 6 minutes 30.096 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 0.324 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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@@ -40,34 +40,34 @@ Layer Normalization
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1 1536.0 409.599994 134.540150 341.333333
2 2048.0 491.520012 161.154101 334.367350
3 2560.0 461.954908 181.238943 330.322572
4 3072.0 519.211251 192.501302 323.368415
5 3584.0 558.545477 208.271186 311.652167
6 4096.0 568.231237 220.907859 298.796351
7 4608.0 502.690905 232.825259 287.251954
8 5120.0 527.381977 242.366855 284.444444
9 5632.0 542.843364 243.107920 289.438969
2 2048.0 491.520012 161.154101 323.368435
3 2560.0 461.954908 181.238943 326.808501
4 3072.0 515.580429 192.501302 320.556515
5 3584.0 554.941930 208.271186 311.652167
6 4096.0 561.737163 220.907859 294.323343
7 4608.0 502.690905 232.825259 291.799469
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@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.505 seconds)
**Total running time of the script:** ( 2 minutes 14.541 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**12:41.032** total execution time for **getting-started_tutorials** files:
**13:45.813** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:44.529 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:30.096 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.032 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.664 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.505 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.541 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:24.953 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.189 | 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``) | 00:00.324 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+