[GH-PAGES] Updated website
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@@ -241,7 +241,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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6 262144.0 341.333321 341.333321
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@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 37.409 seconds)
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**Total running time of the script:** ( 1 minutes 46.845 seconds)
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.. _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
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softmax-performance:
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N Triton Torch (native) Torch (jit)
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0 256.0 512.000001 546.133347 186.181817
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1 384.0 585.142862 585.142862 153.600004
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3 640.0 682.666684 620.606056 158.759699
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4 768.0 722.823517 646.736871 162.754967
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.. ... ... ... ...
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94 12288.0 814.111783 415.222812 199.197579
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96 12544.0 812.566838 412.546756 199.012395
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97 12672.0 814.265046 412.516771 199.167004
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[98 rows x 4 columns]
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@@ -306,7 +306,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 3 minutes 27.320 seconds)
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**Total running time of the script:** ( 3 minutes 29.190 seconds)
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.. _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
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matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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0 256.0 2.730667 ... 2.978909 2.978909
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1 384.0 7.372800 ... 7.899428 7.899428
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2 512.0 14.563555 ... 15.420235 16.384000
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1 384.0 7.372800 ... 8.507077 8.507077
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24 3328.0 82.939284 ... 86.528001 85.602017
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25 3456.0 82.688790 ... 92.455926 86.689860
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26 3584.0 86.291162 ... 88.152348 94.250936
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27 3712.0 85.675250 ... 87.706180 87.246590
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28 3840.0 81.079177 ... 86.875096 91.398346
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29 3968.0 87.035620 ... 89.525997 84.917596
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30 4096.0 88.243079 ... 85.161847 91.616198
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11 1664.0 62.929456 ... 62.929456 62.929456
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12 1792.0 72.983276 ... 63.142831 63.142831
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17 2432.0 71.125224 ... 75.726318 75.522751
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18 2560.0 77.283019 ... 82.331658 82.125311
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19 2688.0 83.552988 ... 91.185232 90.748936
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23 3200.0 84.432717 ... 88.520058 95.952022
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24 3328.0 81.854799 ... 85.703924 82.275764
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25 3456.0 80.220468 ... 92.244355 87.632137
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26 3584.0 83.101104 ... 91.284657 94.250936
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29 3968.0 87.035620 ... 90.388098 84.915752
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30 4096.0 91.366730 ... 83.208386 90.626421
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[31 rows x 5 columns]
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@@ -498,7 +498,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 6 minutes 2.101 seconds)
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**Total running time of the script:** ( 6 minutes 21.623 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -240,7 +240,7 @@ References
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.013 seconds)
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**Total running time of the script:** ( 0 minutes 0.011 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -38,36 +38,36 @@ Layer Normalization
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layer-norm-backward:
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N Triton Torch Apex
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0 1024.0 356.173905 98.303995 296.096389
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1 1536.0 409.599994 132.604320 341.333333
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2 2048.0 491.520012 161.684218 336.657521
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0 1024.0 356.173905 97.912354 303.407414
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1 1536.0 405.098894 135.032961 341.333333
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2 2048.0 486.653476 161.684218 336.657521
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29 15872.0 369.832994 262.708969 290.341468
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@@ -339,7 +339,7 @@ Layer Normalization
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 2 minutes 14.528 seconds)
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**Total running time of the script:** ( 2 minutes 14.604 seconds)
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.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
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@@ -5,16 +5,16 @@
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Computation times
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=================
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**13:21.371** total execution time for **getting-started_tutorials** files:
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**13:52.274** total execution time for **getting-started_tutorials** files:
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.101 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:21.623 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.320 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:29.190 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.528 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.604 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:37.409 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:46.845 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.013 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.011 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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