[GH-PAGES] Updated website
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@@ -216,13 +216,13 @@ 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 8.000000 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 63.999998 76.800002
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3 32768.0 76.800002 76.800002
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4 65536.0 127.999995 127.999995
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5 131072.0 219.428568 219.428568
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6 262144.0 341.333321 341.333321
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6 262144.0 384.000001 384.000001
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7 524288.0 472.615390 472.615390
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8 1048576.0 614.400016 614.400016
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9 2097152.0 722.823517 722.823517
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@@ -230,7 +230,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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11 8388608.0 812.429770 812.429770
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12 16777216.0 833.084721 833.084721
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13 33554432.0 843.811163 843.811163
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14 67108864.0 849.278610 848.362445
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14 67108864.0 848.362445 848.362445
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15 134217728.0 851.577704 850.656574
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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 10.980 seconds)
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**Total running time of the script:** ( 0 minutes 10.964 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -261,15 +261,15 @@ 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 264.258068
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1 384.0 585.142862 558.545450 261.446801
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2 512.0 630.153853 606.814814 264.258068
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0 256.0 512.000001 546.133347 273.066674
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1 384.0 585.142862 585.142862 261.446801
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2 512.0 630.153853 585.142849 264.258068
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3 640.0 682.666684 640.000002 265.974036
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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 406.179533 329.483481
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93 12160.0 812.359066 405.755985 329.204728
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94 12288.0 812.429770 415.661740 329.602681
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95 12416.0 810.840807 412.149375 328.900662
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95 12416.0 810.840807 411.722274 329.173158
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96 12544.0 810.925276 412.971190 329.292871
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97 12672.0 811.007961 412.097543 329.142870
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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 8.185 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 2.730667 ... 3.276800 2.978909
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1 256.0 2.730667 ... 3.276800 3.276800
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2 384.0 7.372800 ... 8.507077 8.507077
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3 512.0 14.563555 ... 15.420235 15.420235
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3 512.0 14.563555 ... 16.384000 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 37.971025
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6 896.0 37.971025 ... 39.025776 39.025776
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7 1024.0 49.932191 ... 52.428801 52.428801
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8 1152.0 45.242181 ... 46.656000 46.656000
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8 1152.0 44.566925 ... 46.656000 45.938215
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9 1280.0 51.200001 ... 56.109587 56.109587
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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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10 1408.0 64.138541 ... 65.684049 58.601554
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11 1536.0 78.643199 ... 75.296679 75.296679
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12 1664.0 62.929456 ... 61.636381 61.636381
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13 1792.0 72.983276 ... 68.953520 68.533074
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14 1920.0 69.467336 ... 69.120002 69.467336
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15 2048.0 73.908442 ... 75.234154 75.573044
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16 2176.0 83.500614 ... 79.855747 80.494588
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17 2304.0 68.446623 ... 72.607513 72.387489
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18 2432.0 71.125224 ... 81.197876 80.041209
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19 2560.0 77.833728 ... 74.983980 75.328737
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20 2688.0 80.880718 ... 78.862903 82.642823
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21 2816.0 83.392363 ... 78.726003 77.056904
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22 2944.0 83.060049 ... 79.356738 79.610276
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23 3072.0 78.643199 ... 82.540970 83.269271
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24 3200.0 83.116885 ... 88.888888 87.431696
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25 3328.0 82.939284 ... 86.528001 82.181847
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26 3456.0 79.351933 ... 84.156124 82.266905
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27 3584.0 87.466332 ... 95.960933 96.166193
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28 3712.0 80.629426 ... 88.404730 88.326564
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29 3840.0 81.919998 ... 80.428721 81.198237
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30 3968.0 86.116179 ... 85.331427 85.391135
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31 4096.0 92.309303 ... 88.651075 88.243079
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14 1920.0 69.120002 ... 69.120002 69.467336
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15 2048.0 73.584279 ... 75.573044 75.234154
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16 2176.0 83.155572 ... 79.855747 79.855747
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17 2304.0 68.251065 ... 72.607513 72.828879
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18 2432.0 71.305746 ... 80.963875 80.963875
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19 2560.0 77.649287 ... 76.740048 75.155963
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20 2688.0 83.552988 ... 81.053536 83.552988
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21 2816.0 79.154642 ... 78.726003 78.161663
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22 2944.0 81.967162 ... 78.605729 79.737653
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23 3072.0 79.415291 ... 81.825298 83.391907
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24 3200.0 84.210524 ... 89.385477 85.333333
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25 3328.0 83.905938 ... 81.346098 81.808290
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26 3456.0 81.108217 ... 81.026701 85.133652
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27 3584.0 87.381330 ... 91.750399 85.064084
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28 3712.0 84.159518 ... 85.309435 88.326564
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29 3840.0 84.550462 ... 87.217666 87.493673
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30 3968.0 92.442373 ... 84.680037 83.692683
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31 4096.0 93.662059 ... 91.867031 91.616198
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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 8.651 seconds)
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**Total running time of the script:** ( 2 minutes 12.186 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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**03:27.823** total execution time for **getting-started_tutorials** files:
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**03:31.335** 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``) | 02:08.651 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:12.186 | 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``) | 01:08.185 | 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``) | 00:10.980 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.964 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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