[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-02-22 00:40:26 +00:00
parent 5a89721fe3
commit c9eba0bba7
158 changed files with 260 additions and 260 deletions

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@@ -235,10 +235,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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9 2097152.0 722.823517 722.823517
@@ -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 38.111 seconds)
**Total running time of the script:** ( 1 minutes 44.030 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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@@ -284,10 +284,10 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 406.179533 199.038365
94 12288.0 814.111783 415.222812 199.298541
93 12160.0 814.058574 406.179533 198.936606
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97 12672.0 814.265046 412.097543 199.069228
[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 19.799 seconds)
**Total running time of the script:** ( 3 minutes 20.262 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 ... 3.276800 2.978909
1 384.0 7.372800 ... 8.507077 8.507077
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 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 39.025776 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 45.242181 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 67.305878 66.485074
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.492442 62.492442
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 68.776119 ... 70.172588 70.172588
10 1536.0 79.526831 ... 79.526831 79.526831
11 1664.0 62.929456 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.047592 71.588687
13 1920.0 69.120002 ... 70.172588 69.818184
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.815126 85.632545
16 2304.0 68.251065 ... 76.809875 76.809875
17 2432.0 71.305746 ... 84.877538 85.134737
18 2560.0 77.283019 ... 80.908642 81.108913
19 2688.0 83.369354 ... 89.888756 88.628636
20 2816.0 80.469019 ... 82.916747 81.369790
21 2944.0 81.967162 ... 81.698415 82.237674
22 3072.0 82.782312 ... 88.612060 88.335577
23 3200.0 84.656085 ... 95.380032 94.395283
24 3328.0 83.419811 ... 81.438120 85.602017
25 3456.0 81.849303 ... 90.382926 91.097818
26 3584.0 84.033077 ... 90.458141 96.579370
27 3712.0 85.970176 ... 85.530838 88.170647
28 3840.0 81.168440 ... 85.531326 91.777595
29 3968.0 88.040360 ... 90.321193 84.094627
30 4096.0 92.500158 ... 87.381330 88.069377
15 2176.0 83.155572 ... 85.998493 85.632545
16 2304.0 68.251065 ... 77.057651 76.809875
17 2432.0 71.487187 ... 84.877538 84.367759
18 2560.0 78.019048 ... 81.108913 80.511054
19 2688.0 83.186525 ... 90.102270 89.044736
20 2816.0 81.674548 ... 82.759409 82.759409
21 2944.0 82.921853 ... 81.832567 81.967162
22 3072.0 81.707223 ... 88.060814 88.750943
23 3200.0 80.503145 ... 87.791493 91.888011
24 3328.0 79.901550 ... 84.895397 84.695641
25 3456.0 81.849303 ... 91.407671 91.200871
26 3584.0 84.427601 ... 90.458141 96.579370
27 3712.0 85.748791 ... 86.980708 87.170458
28 3840.0 79.334289 ... 91.777595 84.292684
29 3968.0 90.859224 ... 84.915752 90.994735
30 4096.0 86.424811 ... 84.735086 91.678778
[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 1.523 seconds)
**Total running time of the script:** ( 5 minutes 59.250 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 0.477 seconds)
**Total running time of the script:** ( 0 minutes 0.482 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
0 1024.0 307.200008 98.303995 303.407414
1 1536.0 347.773587 134.050910 341.333333
2 2048.0 420.102553 161.684218 325.509933
0 1024.0 311.088617 98.303995 307.200008
1 1536.0 347.773587 134.540150 344.523365
2 2048.0 423.724127 161.684218 325.509933
3 2560.0 458.507457 181.775141 326.808501
4 3072.0 508.468972 192.501302 317.793096
5 3584.0 551.384634 208.271186 310.527060
6 4096.0 564.965515 220.412561 294.323343
7 4608.0 504.986315 232.825259 291.031570
8 5120.0 529.655159 242.845844 287.775181
9 5632.0 542.843364 243.545956 288.820505
10 6144.0 546.133354 248.242431 286.322318
4 3072.0 511.999982 192.501302 317.793096
5 3584.0 551.384634 208.271186 311.652167
6 4096.0 568.231237 220.412561 295.207204
7 4608.0 504.986315 232.825259 292.571431
8 5120.0 529.655159 242.845844 288.450695
9 5632.0 545.032265 243.545956 289.438969
10 6144.0 546.133354 248.661056 286.879370
11 6656.0 534.260858 256.000009 285.767438
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15 8704.0 417.791980 267.815384 284.987724
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26 14336.0 393.665895 254.297107 286.719986
27 14848.0 385.245405 257.665934 289.012175
23 12800.0 414.016170 253.674644 288.450715
24 13312.0 411.181478 252.959629 290.179836
25 13824.0 404.604870 257.190689 292.056329
26 14336.0 393.215988 254.485198 286.719986
27 14848.0 385.245405 257.665934 289.246765
28 15360.0 373.874218 257.790220 286.211174
29 15872.0 370.913333 261.626369 289.899545
29 15872.0 371.274849 261.626369 290.120338
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.404 seconds)
**Total running time of the script:** ( 2 minutes 12.441 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:12.314** total execution time for **getting-started_tutorials** files:
**13:16.466** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:01.523 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:59.250 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.799 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:20.262 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.404 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.441 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.111 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:44.030 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.477 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.482 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+