[GH-PAGES] Updated website
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@@ -219,10 +219,10 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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0 4096.0 9.540372 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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3 32768.0 63.999998 63.999998
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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 262144.0 384.000001 384.000001
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6 262144.0 341.333321 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 11.115 seconds)
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**Total running time of the script:** ( 0 minutes 10.987 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -262,15 +262,15 @@ 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 273.066674
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1 384.0 585.142862 585.142862 267.130429
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2 512.0 630.153853 606.814814 264.258068
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1 384.0 585.142862 585.142862 261.446801
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2 512.0 655.360017 585.142849 264.258068
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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 329.204728
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94 12288.0 812.429770 415.222812 329.602681
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95 12416.0 810.840807 412.149375 329.173158
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96 12544.0 810.925276 412.971190 329.292871
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95 12416.0 810.840807 412.149375 328.900662
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96 12544.0 810.925276 412.546756 329.292871
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97 12672.0 811.007961 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 8.181 seconds)
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**Total running time of the script:** ( 1 minutes 8.170 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 ... 2.978909 2.978909
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1 256.0 2.730667 ... 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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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 37.971025 ... 39.025776 37.971025
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7 1024.0 51.150050 ... 52.428801 52.428801
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8 1152.0 45.242181 ... 46.656000 46.656000
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7 1024.0 49.932191 ... 52.428801 52.428801
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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 58.621246
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11 1536.0 79.526831 ... 76.106321 75.296679
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10 1408.0 64.138541 ... 65.684049 65.684049
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11 1536.0 80.430545 ... 76.106321 76.106321
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12 1664.0 63.372618 ... 61.636381 61.636381
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13 1792.0 72.983276 ... 69.379162 68.953520
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14 1920.0 69.467336 ... 68.435645 69.467336
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15 2048.0 73.584279 ... 75.915006 75.234154
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16 2176.0 80.817862 ... 78.608000 79.855747
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17 2304.0 68.446623 ... 73.051599 72.607513
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18 2432.0 71.125224 ... 80.499895 80.499895
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19 2560.0 77.833728 ... 76.740048 76.027843
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20 2688.0 82.823267 ... 80.027544 82.823267
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21 2816.0 84.197315 ... 78.442822 76.785575
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22 2944.0 81.698415 ... 79.356738 78.729910
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23 3072.0 81.005868 ... 83.761985 81.707223
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24 3200.0 84.432717 ... 88.642656 84.321474
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25 3328.0 83.130825 ... 81.622783 80.980084
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26 3456.0 80.864158 ... 84.864807 80.864158
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27 3584.0 87.381330 ... 89.116127 84.988707
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28 3712.0 84.230479 ... 85.091436 83.806497
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29 3840.0 83.465663 ... 84.809814 86.265212
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30 3968.0 92.793868 ... 84.797731 83.807647
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31 4096.0 93.466385 ... 91.553703 91.180520
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13 1792.0 72.983276 ... 68.533074 68.533074
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14 1920.0 68.098521 ... 70.172588 70.172588
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15 2048.0 73.908442 ... 75.234154 75.573044
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16 2176.0 83.155572 ... 80.173899 79.855747
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17 2304.0 68.251065 ... 73.051599 72.828879
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18 2432.0 71.125224 ... 81.433227 81.433227
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19 2560.0 77.833728 ... 76.920185 75.676673
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20 2688.0 83.552988 ... 80.880718 82.823267
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21 2816.0 82.446516 ... 78.868366 79.733474
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22 2944.0 82.373605 ... 80.251257 79.610276
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23 3072.0 77.993256 ... 81.943708 83.514905
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24 3200.0 84.210524 ... 89.887639 84.544253
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25 3328.0 83.130825 ... 81.346098 82.088138
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26 3456.0 80.140726 ... 82.943999 81.600781
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27 3584.0 87.296493 ... 95.451583 96.269155
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28 3712.0 84.301560 ... 89.194055 89.035062
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29 3840.0 85.267542 ... 83.718392 84.292684
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30 3968.0 89.921841 ... 87.035620 86.664727
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31 4096.0 92.820009 ... 91.366730 91.741443
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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 17.256 seconds)
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**Total running time of the script:** ( 2 minutes 5.849 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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**03:36.552** total execution time for **getting-started_tutorials** files:
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**03:25.006** 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``) | 02:17.256 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:05.849 | 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``) | 01:08.181 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:08.170 | 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``) | 00:11.115 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.987 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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