[GH-PAGES] Updated website
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@@ -240,12 +240,12 @@ 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 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 2097152.0 702.171410 722.823517
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9 2097152.0 722.823517 722.823517
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10 4194304.0 780.190482 780.190482
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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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@@ -254,7 +254,7 @@ 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 10.972 seconds)
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**Total running time of the script:** ( 1 minutes 9.393 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -303,14 +303,14 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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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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2 512.0 630.153853 606.814814 154.566038
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3 640.0 660.645170 640.000002 160.000000
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3 640.0 682.666684 640.000002 160.000000
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4 768.0 702.171410 664.216187 163.839992
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.. ... ... ... ...
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93 12160.0 812.359066 405.755985 199.038365
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94 12288.0 812.429770 415.661740 199.298541
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95 12416.0 810.840807 412.149375 198.954424
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96 12544.0 810.925276 412.971190 199.209928
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97 12672.0 811.007961 412.097543 199.264875
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95 12416.0 810.840807 412.149375 198.854847
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96 12544.0 810.925276 412.971190 199.111113
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97 12672.0 811.007961 412.516771 199.264875
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[98 rows x 4 columns]
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@@ -328,7 +328,7 @@ 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 12.586 seconds)
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**Total running time of the script:** ( 1 minutes 14.917 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -462,37 +462,37 @@ 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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0 256.0 2.978909 ... 3.276800 3.276800
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1 384.0 7.372800 ... 8.507077 8.507077
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0 256.0 2.978909 ... 2.978909 2.978909
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1 384.0 7.372800 ... 8.507077 7.899428
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2 512.0 14.563555 ... 16.384000 16.384000
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3 640.0 22.260869 ... 24.380953 24.380953
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4 768.0 32.768000 ... 34.028308 34.028308
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26 3584.0 85.879071 ... 91.470385 93.661869
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27 3712.0 85.822459 ... 84.802499 88.876645
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29 3968.0 92.864488 ... 87.284643 87.597943
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30 4096.0 93.466385 ... 90.504200 89.898012
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7 1152.0 44.566925 ... 46.656000 45.938215
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8 1280.0 51.200001 ... 56.888887 56.109587
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9 1408.0 64.138541 ... 63.392744 62.664092
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10 1536.0 80.430545 ... 76.106321 76.106321
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11 1664.0 63.372618 ... 62.061463 62.061463
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12 1792.0 72.983276 ... 62.790080 62.441243
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13 1920.0 69.467336 ... 67.434145 70.172588
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14 2048.0 73.908442 ... 74.565406 74.565406
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15 2176.0 81.143743 ... 80.494588 80.817862
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16 2304.0 68.056616 ... 73.728002 73.501144
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17 2432.0 71.305746 ... 80.499895 80.269900
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18 2560.0 78.019048 ... 77.465723 77.283019
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19 2688.0 83.004501 ... 83.737433 84.483418
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20 2816.0 81.521884 ... 78.301990 80.767055
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21 2944.0 82.102191 ... 77.626218 71.194334
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22 3072.0 82.540970 ... 83.025078 83.269271
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23 3200.0 84.656085 ... 90.651555 84.993363
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24 3328.0 83.130825 ... 86.528001 87.262177
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25 3456.0 79.430113 ... 80.460651 83.459178
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26 3584.0 87.466332 ... 91.938029 88.761490
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27 3712.0 85.091436 ... 83.666116 83.247783
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28 3840.0 81.019778 ... 79.965290 82.778440
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29 3968.0 85.992909 ... 84.974886 87.535103
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30 4096.0 93.531519 ... 90.200084 89.837839
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[31 rows x 5 columns]
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@@ -502,7 +502,7 @@ 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 20.017 seconds)
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**Total running time of the script:** ( 2 minutes 19.244 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -238,7 +238,7 @@ References
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.316 seconds)
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**Total running time of the script:** ( 0 minutes 0.306 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -5,14 +5,14 @@
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Computation times
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=================
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**03:43.892** total execution time for **getting-started_tutorials** files:
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**04:43.861** 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``) | 02:20.017 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:19.244 | 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``) | 01:12.586 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:14.917 | 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``) | 00:10.972 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:09.393 | 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``) | 00:00.316 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.306 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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