[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-04-12 00:41:56 +00:00
parent 56933acae6
commit d19191fa7e
156 changed files with 276 additions and 276 deletions

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@@ -237,22 +237,22 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
vector-add-performance:
size Triton Torch
0 4096.0 4.363636 9.600000
1 8192.0 9.600000 19.200000
2 16384.0 19.200000 38.400001
3 32768.0 38.400001 76.800002
4 65536.0 76.800002 127.999995
5 131072.0 139.636363 219.428568
6 262144.0 236.307695 341.333321
0 4096.0 4.800000 9.600000
1 8192.0 10.666666 19.200000
2 16384.0 17.454545 38.400001
3 32768.0 38.400001 63.999998
4 65536.0 69.818181 127.999995
5 131072.0 127.999995 219.428568
6 262144.0 219.428568 384.000001
7 524288.0 341.333321 472.615390
8 1048576.0 472.615390 614.400016
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10 4194304.0 702.171410 780.190482
11 8388608.0 768.000002 812.429770
10 4194304.0 712.347810 780.190482
11 8388608.0 774.047204 812.429770
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15 134217728.0 845.625825 850.656574
@@ -260,7 +260,7 @@ 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 35.628 seconds)
**Total running time of the script:** ( 1 minutes 38.714 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 190.511628
0 256.0 546.133347 546.133347 192.752942
1 384.0 585.142862 585.142862 151.703707
2 512.0 655.360017 585.142849 154.566038
3 640.0 682.666684 640.000002 158.759699
4 768.0 722.823517 646.736871 162.754967
2 512.0 655.360017 606.814814 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 405.755985 198.429370
94 12288.0 814.111783 415.661740 198.794749
95 12416.0 814.163950 412.149375 198.358474
96 12544.0 814.214963 412.971190 198.520274
97 12672.0 814.265046 412.097543 198.679085
93 12160.0 814.058574 405.755985 198.834951
94 12288.0 815.800825 415.661740 199.096718
95 12416.0 814.163950 412.149375 198.705656
96 12544.0 814.214963 412.971190 198.913776
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 26.881 seconds)
**Total running time of the script:** ( 3 minutes 26.814 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

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@@ -459,36 +459,36 @@ 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
2 512.0 14.563555 ... 16.384000 15.420235
1 384.0 7.372800 ... 7.899428 7.899428
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 40.140799
6 1024.0 49.932191 ... 53.773130 52.428801
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
6 1024.0 49.932191 ... 53.773130 53.773130
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 58.514284 57.690139
9 1408.0 64.138541 ... 69.009825 68.147202
10 1536.0 79.526831 ... 80.430545 80.430545
11 1664.0 62.929456 ... 62.929456 62.929456
12 1792.0 72.512412 ... 63.142831 62.790080
13 1920.0 69.120002 ... 71.626943 71.257735
14 2048.0 73.262953 ... 78.033565 77.672296
11 1664.0 63.372618 ... 63.372618 62.929456
12 1792.0 72.983276 ... 63.142831 62.790080
13 1920.0 68.776119 ... 71.257735 71.257735
14 2048.0 73.584279 ... 78.033565 77.672296
15 2176.0 83.155572 ... 87.115360 86.739860
16 2304.0 68.446623 ... 77.810656 77.057651
17 2432.0 71.125224 ... 75.320281 75.118889
18 2560.0 77.833728 ... 81.920002 82.125311
19 2688.0 83.552988 ... 90.102270 90.316801
20 2816.0 79.879498 ... 84.197315 83.552120
21 2944.0 78.854483 ... 82.509987 83.617504
22 3072.0 82.420822 ... 89.593522 89.877939
23 3200.0 84.432717 ... 96.385543 95.096582
24 3328.0 82.275764 ... 84.003845 84.695641
25 3456.0 82.099354 ... 91.407671 91.824110
26 3584.0 82.377818 ... 91.380335 93.370085
27 3712.0 84.730571 ... 89.594031 83.876864
28 3840.0 84.615146 ... 92.545605 85.663823
29 3968.0 90.859224 ... 85.932350 86.726322
30 4096.0 93.825748 ... 86.037005 88.475759
16 2304.0 68.446623 ... 77.810656 77.558029
17 2432.0 71.125224 ... 75.522751 75.118889
18 2560.0 77.833728 ... 82.125311 81.715711
19 2688.0 83.552988 ... 90.316801 89.888756
20 2816.0 80.173175 ... 83.873477 83.392363
21 2944.0 81.034195 ... 84.040530 82.237674
22 3072.0 82.301023 ... 89.310890 89.030036
23 3200.0 82.156612 ... 96.385543 96.822991
24 3328.0 83.516586 ... 85.500351 85.703924
25 3456.0 81.683457 ... 86.226274 86.783176
26 3584.0 87.211821 ... 98.808123 99.408944
27 3712.0 84.159518 ... 86.641231 88.248537
28 3840.0 79.391241 ... 85.136259 91.247522
29 3968.0 87.097744 ... 91.472214 84.797731
30 4096.0 93.401342 ... 84.096318 86.092193
[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 4.629 seconds)
**Total running time of the script:** ( 6 minutes 4.871 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 0.012 seconds)
**Total running time of the script:** ( 0 minutes 0.016 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:
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2 2048.0 491.520012 159.067963 321.254900
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4 3072.0 519.211251 191.501303 319.168834
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2 2048.0 491.520012 159.584422 323.368435
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9 5632.0 542.843364 244.647957 291.939522
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@@ -339,7 +339,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 13.230 seconds)
**Total running time of the script:** ( 2 minutes 12.229 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

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@@ -5,16 +5,16 @@
Computation times
=================
**13:20.380** total execution time for **getting-started_tutorials** files:
**13:22.644** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.629 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.871 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.881 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.814 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.230 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.229 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:35.628 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:38.714 | 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 |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.016 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+