[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-02-25 00:41:35 +00:00
parent 9ff187eb68
commit ee0571dacd
159 changed files with 293 additions and 293 deletions

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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 76.800002
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 384.000001
@@ -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 45.824 seconds)
**Total running time of the script:** ( 1 minutes 37.620 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

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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)
0 256.0 512.000001 546.133347 188.321838
1 384.0 585.142862 558.545450 153.600004
0 256.0 512.000001 546.133347 192.752942
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 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 814.058574 405.333344 198.834951
94 12288.0 814.111783 415.222812 199.096718
95 12416.0 814.163950 411.296057 198.755369
96 12544.0 814.214963 412.546756 198.913776
97 12672.0 814.265046 412.097543 199.069228
93 12160.0 814.058574 406.179533 199.038365
94 12288.0 814.111783 415.661740 199.298541
95 12416.0 814.163950 412.149375 198.854847
96 12544.0 814.214963 412.971190 199.111113
97 12672.0 814.265046 411.679167 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 21.745 seconds)
**Total running time of the script:** ( 3 minutes 18.443 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 ... 7.899428 8.507077
2 512.0 14.563555 ... 16.384000 15.420235
0 256.0 2.978909 ... 2.978909 2.978909
1 384.0 7.372800 ... 8.507077 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 ... 34.028308 34.028308
5 896.0 39.025776 ... 40.140799 37.971025
5 896.0 39.025776 ... 40.140799 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
9 1408.0 64.138541 ... 67.305878 65.684049
10 1536.0 80.430545 ... 79.526831 78.643199
11 1664.0 62.929456 ... 62.061463 62.492442
12 1792.0 72.512412 ... 71.588687 72.047592
13 1920.0 69.467336 ... 70.172588 70.172588
11 1664.0 62.929456 ... 62.492442 62.061463
12 1792.0 72.512412 ... 72.047592 72.047592
13 1920.0 69.120002 ... 70.172588 70.172588
14 2048.0 73.262953 ... 76.608294 76.260072
15 2176.0 83.155572 ... 85.998493 85.998493
16 2304.0 68.643310 ... 76.809875 76.809875
17 2432.0 71.487187 ... 74.521127 84.877538
18 2560.0 77.833728 ... 81.108913 80.808877
19 2688.0 82.823267 ... 89.676257 89.464755
20 2816.0 80.617762 ... 82.602666 83.392363
21 2944.0 81.832567 ... 82.102191 82.102191
22 3072.0 82.121977 ... 88.335577 86.911900
23 3200.0 78.717759 ... 91.559367 92.753621
24 3328.0 79.990330 ... 83.130825 83.905938
25 3456.0 81.724858 ... 91.304157 90.892410
26 3584.0 83.101104 ... 91.563533 96.579370
27 3712.0 85.748791 ... 86.045381 91.901879
28 3840.0 80.313725 ... 86.265212 91.322872
29 3968.0 86.911637 ... 90.221021 83.922926
30 4096.0 92.755862 ... 88.301134 82.342167
15 2176.0 83.155572 ... 85.998493 85.269692
16 2304.0 68.446623 ... 77.057651 76.809875
17 2432.0 71.487187 ... 84.367759 85.134737
18 2560.0 78.019048 ... 80.908642 80.511054
19 2688.0 83.737433 ... 89.888756 89.254248
20 2816.0 81.827785 ... 82.602666 82.135981
21 2944.0 82.237674 ... 82.237674 82.102191
22 3072.0 81.589488 ... 88.473602 88.197981
23 3200.0 84.656085 ... 95.096582 94.955488
24 3328.0 83.034941 ... 84.200347 83.808259
25 3456.0 78.655188 ... 87.823058 87.632137
26 3584.0 87.466332 ... 98.375705 93.467144
27 3712.0 84.159518 ... 87.018592 88.092894
28 3840.0 79.505392 ... 87.217666 91.473945
29 3968.0 85.871877 ... 91.062642 84.038524
30 4096.0 93.012976 ... 86.396995 89.958266
[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 5.749 seconds)
**Total running time of the script:** ( 5 minutes 56.421 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 0.493 seconds)
**Total running time of the script:** ( 0 minutes 0.486 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 95.255819 292.571431
1 1536.0 347.773587 135.529409 344.523365
2 2048.0 420.102553 162.217818 325.509933
3 2560.0 451.764698 183.402991 330.322572
4 3072.0 515.580429 191.501303 317.793096
5 3584.0 547.872604 207.768111 311.652167
6 4096.0 564.965515 220.907859 301.546004
7 4608.0 504.986315 232.825259 288.751954
8 5120.0 531.948056 242.845844 285.104413
9 5632.0 545.032265 243.107920 290.060087
10 6144.0 548.163546 250.349744 286.879370
11 6656.0 537.858601 254.775119 285.767438
12 7168.0 508.970395 256.000002 279.726817
13 7680.0 485.052616 263.690977 278.009056
14 8192.0 462.607053 264.258058 280.068380
15 8704.0 417.791980 263.757583 282.291896
16 9216.0 430.319054 270.727053 286.879380
17 9728.0 440.513191 281.291575 290.027323
18 10240.0 449.287041 285.767451 289.129408
19 10752.0 429.364408 246.699797 289.941565
20 11264.0 424.389312 245.536784 287.591490
21 11776.0 421.198220 249.888595 288.686414
22 12288.0 417.722367 253.796902 294.617366
23 12800.0 415.135142 253.674644 289.811310
24 13312.0 409.599999 251.962147 289.129403
25 13824.0 404.604870 257.190689 292.056329
26 14336.0 395.930964 253.734520 287.438588
27 14848.0 384.829370 255.999999 288.544136
28 15360.0 376.932517 259.422943 289.583654
29 15872.0 367.336555 262.708969 290.784741
0 1024.0 311.088617 98.303995 307.200008
1 1536.0 347.773587 134.540150 344.523365
2 2048.0 420.102553 161.684218 334.367350
3 2560.0 458.507457 181.775141 330.322572
4 3072.0 511.999982 192.501302 320.556515
5 3584.0 547.872604 208.271186 311.652167
6 4096.0 568.231237 220.412561 297.890900
7 4608.0 507.302750 232.825259 287.251954
8 5120.0 529.655159 242.845844 285.104413
9 5632.0 545.032265 243.545956 290.060087
10 6144.0 546.133354 248.661056 286.879370
11 6656.0 534.260858 256.000009 285.767438
12 7168.0 505.976473 260.654538 286.242939
13 7680.0 482.513091 262.564106 278.429013
14 8192.0 463.698115 267.493874 284.939124
15 8704.0 418.629245 267.815384 284.987724
16 9216.0 432.845409 272.394084 288.751954
17 9728.0 439.683593 280.615388 289.667485
18 10240.0 448.467168 286.433562 290.153487
19 10752.0 426.525614 247.172406 290.922209
20 11264.0 427.071098 245.536784 286.676558
21 11776.0 423.724129 249.667843 288.981596
22 12288.0 419.504980 254.673582 294.323369
23 12800.0 413.458944 253.465340 289.811310
24 13312.0 412.242569 252.959629 290.048115
25 13824.0 405.594132 257.190689 292.056329
26 14336.0 395.021816 254.485198 286.719986
27 14848.0 386.498925 257.665934 289.246765
28 15360.0 373.495460 257.970599 288.000007
29 15872.0 371.274849 261.806182 289.899545
@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 12.916 seconds)
**Total running time of the script:** ( 2 minutes 11.775 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:26.728** total execution time for **getting-started_tutorials** files:
**13:04.745** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:05.749 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.421 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.745 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:18.443 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.916 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.775 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.824 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:37.620 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.493 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.486 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+