[GH-PAGES] Updated website
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@@ -216,7 +216,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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vector-add-performance:
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size Triton Torch
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0 4096.0 9.540372 9.600000
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0 4096.0 9.600000 9.600000
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1 8192.0 19.200000 19.200000
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2 16384.0 38.400001 38.400001
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3 32768.0 76.800002 76.800002
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@@ -239,7 +239,7 @@ 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:** ( 0 minutes 11.018 seconds)
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**Total running time of the script:** ( 0 minutes 12.689 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -267,11 +267,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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3 640.0 682.666684 640.000002 269.473696
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4 768.0 702.171410 664.216187 273.066663
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.. ... ... ... ...
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93 12160.0 812.359066 405.755985 329.483481
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93 12160.0 812.359066 406.179533 329.483481
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94 12288.0 812.429770 415.661740 329.602681
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95 12416.0 810.840807 412.149375 329.173158
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95 12416.0 810.840807 412.149375 328.900662
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96 12544.0 810.925276 412.971190 329.292871
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97 12672.0 811.007961 412.097543 329.410251
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97 12672.0 809.389265 412.097543 329.142870
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[98 rows x 4 columns]
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@@ -290,7 +290,7 @@ 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:** ( 1 minutes 8.191 seconds)
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**Total running time of the script:** ( 1 minutes 8.263 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -371,37 +371,37 @@ 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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0 128.0 0.455111 ... 0.512000 0.512000
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1 256.0 2.978909 ... 3.276800 2.978909
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2 384.0 7.372800 ... 8.507077 8.507077
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3 512.0 14.563555 ... 16.384000 15.420235
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1 256.0 2.730667 ... 2.978909 2.978909
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2 384.0 7.372800 ... 7.899428 7.899428
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3 512.0 14.563555 ... 15.420235 15.420235
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4 640.0 22.260869 ... 24.380953 24.380953
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5 768.0 32.768000 ... 34.028308 34.028308
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6 896.0 39.025776 ... 39.025776 39.025776
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6 896.0 39.025776 ... 39.025776 37.971025
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7 1024.0 49.932191 ... 52.428801 52.428801
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8 1152.0 44.566925 ... 45.938215 45.938215
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8 1152.0 44.566925 ... 46.656000 46.656000
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9 1280.0 51.200001 ... 56.109587 56.109587
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10 1408.0 64.138541 ... 65.684049 58.621246
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11 1536.0 79.526831 ... 76.106321 75.296679
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12 1664.0 63.372618 ... 62.061463 61.636381
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13 1792.0 72.983276 ... 69.379162 68.953520
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14 1920.0 66.782607 ... 70.172588 70.172588
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15 2048.0 73.908442 ... 75.573044 75.234154
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16 2176.0 83.155572 ... 80.817862 79.226957
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17 2304.0 68.251065 ... 73.051599 72.607513
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18 2432.0 71.125224 ... 80.041209 80.963875
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19 2560.0 77.101175 ... 77.101175 76.027843
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20 2688.0 83.922689 ... 80.880718 83.369354
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21 2816.0 78.584162 ... 78.726003 79.011245
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22 2944.0 82.373605 ... 78.481940 80.640830
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23 3072.0 79.415291 ... 84.892208 83.761985
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24 3200.0 80.604535 ... 89.761569 87.312416
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25 3328.0 83.130825 ... 82.369902 81.715431
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26 3456.0 81.108217 ... 87.347312 83.200794
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27 3584.0 86.707226 ... 96.579370 88.499397
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28 3712.0 80.627396 ... 83.736248 81.950243
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29 3840.0 80.197243 ... 85.930069 86.602979
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30 3968.0 91.472214 ... 87.472354 87.409694
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31 4096.0 92.948562 ... 91.553703 91.678778
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10 1408.0 64.138541 ... 65.684049 65.684049
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11 1536.0 80.430545 ... 76.106321 75.296679
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12 1664.0 63.372618 ... 61.636381 61.636381
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13 1792.0 72.983276 ... 68.953520 68.533074
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14 1920.0 65.516586 ... 67.764707 69.120002
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15 2048.0 73.584279 ... 75.234154 74.898285
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16 2176.0 82.473969 ... 78.302130 78.608000
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17 2304.0 68.446623 ... 73.051599 72.607513
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18 2432.0 71.305746 ... 80.499895 80.963875
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19 2560.0 78.019048 ... 76.740048 74.983980
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20 2688.0 83.737433 ... 83.552988 80.537273
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21 2816.0 78.868366 ... 77.193289 78.442822
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22 2944.0 81.166173 ... 80.122235 77.385141
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23 3072.0 81.472093 ... 83.391907 81.121923
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24 3200.0 82.368085 ... 86.021503 87.671229
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25 3328.0 83.516586 ... 86.320498 82.939284
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26 3456.0 81.849303 ... 80.783132 85.043848
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27 3584.0 87.211821 ... 92.126428 84.663603
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28 3712.0 84.088676 ... 84.301560 81.550936
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29 3840.0 81.079177 ... 84.164384 85.267542
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30 3968.0 92.442373 ... 84.038524 83.807647
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31 4096.0 93.401342 ... 91.304576 91.056800
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[32 rows x 5 columns]
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@@ -411,7 +411,7 @@ 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:** ( 2 minutes 12.196 seconds)
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**Total running time of the script:** ( 2 minutes 10.315 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -5,12 +5,12 @@
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Computation times
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=================
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**03:31.405** total execution time for **getting-started_tutorials** files:
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**03:31.267** 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``) | 02:12.196 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:10.315 | 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``) | 01:08.191 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.263 | 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``) | 00:11.018 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:12.689 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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