[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-07-28 00:52:17 +00:00
parent 2663713aec
commit 6cffd02787
167 changed files with 298 additions and 298 deletions

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@@ -238,14 +238,14 @@ 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 45.313 seconds)
**Total running time of the script:** ( 2 minutes 39.483 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)
0 256.0 546.133347 546.133347 188.321838
1 384.0 614.400016 585.142862 151.703707
2 512.0 655.360017 585.142849 154.566038
0 256.0 546.133347 546.133347 190.511628
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 646.736871 163.839992
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 405.333344 199.038365
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95 12416.0 812.498981 411.296057 198.954424
96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.264875
93 12160.0 812.359066 406.179533 198.631953
94 12288.0 812.429770 415.222812 198.895304
95 12416.0 812.498981 412.149375 198.556711
96 12544.0 810.925276 412.546756 198.815254
97 12672.0 811.007961 412.097543 198.873965
[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 30.839 seconds)
**Total running time of the script:** ( 3 minutes 31.979 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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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)
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1 384.0 7.372800 ... 8.507077 7.899428
0 256.0 2.978909 ... 2.978909 3.276800
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 ... 35.389441 34.028308
5 896.0 39.025776 ... 40.140799 39.025776
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6 1024.0 51.150050 ... 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
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 72.983276 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.257735 70.892307
14 2048.0 73.584279 ... 78.033565 76.959706
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12 1792.0 72.512412 ... 73.460287 59.467852
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.908442 ... 78.398206 77.314362
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16 2304.0 68.446623 ... 78.064941 77.057651
17 2432.0 71.125224 ... 85.915795 75.320281
18 2560.0 77.833728 ... 82.125311 81.512437
19 2688.0 83.737433 ... 90.532356 89.676257
20 2816.0 83.074685 ... 84.687779 84.035084
21 2944.0 81.698415 ... 84.040530 83.060049
22 3072.0 81.707223 ... 90.164177 89.310890
23 3200.0 84.544253 ... 96.969694 95.665176
24 3328.0 83.905938 ... 86.320498 85.602017
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26 3584.0 85.633710 ... 92.600816 95.756542
27 3712.0 84.159518 ... 93.100971 87.783251
28 3840.0 80.901241 ... 87.980905 92.236860
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30 4096.0 93.336389 ... 86.928580 85.271746
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17 2432.0 71.305746 ... 86.711310 75.320281
18 2560.0 77.833728 ... 82.331658 81.108913
19 2688.0 83.922689 ... 90.748936 89.676257
20 2816.0 79.879498 ... 82.446516 83.873477
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24 3328.0 83.130825 ... 84.596116 84.200347
25 3456.0 81.518272 ... 91.407671 90.943675
26 3584.0 85.797134 ... 91.470385 91.470385
27 3712.0 84.088676 ... 89.273764 83.247783
28 3840.0 85.005380 ... 92.006659 85.763472
29 3968.0 85.809605 ... 92.232760 86.175099
30 4096.0 93.433852 ... 85.871008 92.245860
[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 36.741 seconds)
**Total running time of the script:** ( 6 minutes 36.303 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 0.164 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

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@@ -40,34 +40,34 @@ Layer Normalization
N Triton Torch Apex
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@@ -393,7 +393,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 38.066 seconds)
**Total running time of the script:** ( 5 minutes 37.477 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.075 seconds)
**Total running time of the script:** ( 0 minutes 0.367 seconds)
.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:

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@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.010 seconds)
**Total running time of the script:** ( 0 minutes 0.128 seconds)
.. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:

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@@ -5,20 +5,20 @@
Computation times
=================
**17:31.058** total execution time for **getting-started_tutorials** files:
**18:25.900** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:36.741 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:36.303 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:38.066 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.477 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:30.839 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.979 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.313 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 02:39.483 | 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_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.367 | 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``) | 00:00.164 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.128 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+