[GH-PAGES] Updated website
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@@ -231,10 +231,10 @@ 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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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 262144.0 341.333321 384.000001
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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 10.981 seconds)
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**Total running time of the script:** ( 0 minutes 11.022 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -300,17 +300,17 @@ 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 190.511628
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1 384.0 585.142862 558.545450 153.600004
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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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3 640.0 682.666684 640.000002 161.259834
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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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93 12160.0 812.359066 406.179533 199.038365
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94 12288.0 812.429770 415.661740 199.298541
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95 12416.0 810.840807 411.722274 198.954424
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96 12544.0 810.925276 412.971190 199.209928
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97 12672.0 809.389265 412.097543 199.264875
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95 12416.0 810.840807 412.149375 198.954424
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96 12544.0 810.925276 412.971190 199.111113
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97 12672.0 811.007961 412.097543 199.167004
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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 13.154 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -463,37 +463,37 @@ 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 ... 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 7.899428
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3 512.0 14.563555 ... 16.384000 16.384000
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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 ... 40.140799 35.994954
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6 896.0 39.025776 ... 39.025776 39.025776
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7 1024.0 49.932191 ... 53.773130 52.428801
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8 1152.0 44.566925 ... 46.656000 46.656000
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9 1280.0 51.200001 ... 56.888887 56.888887
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8 1152.0 45.242181 ... 46.656000 46.656000
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9 1280.0 51.200001 ... 56.888887 56.109587
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10 1408.0 64.138541 ... 64.902096 64.902096
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11 1536.0 76.933564 ... 76.106321 76.106321
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12 1664.0 63.372618 ... 61.217089 61.636381
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13 1792.0 72.983276 ... 69.810085 69.379162
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14 1920.0 67.434145 ... 70.172588 70.530615
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15 2048.0 73.908442 ... 74.898285 74.898285
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16 2176.0 83.500614 ... 80.173899 80.817862
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17 2304.0 68.446623 ... 73.275679 73.275679
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18 2432.0 71.125224 ... 81.908060 82.147552
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19 2560.0 78.019048 ... 75.676673 76.027843
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20 2688.0 83.369354 ... 83.369354 81.928846
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21 2816.0 84.197315 ... 77.605356 79.733474
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22 2944.0 80.122235 ... 77.385141 79.865439
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23 3072.0 79.415291 ... 81.472093 82.782312
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24 3200.0 83.879425 ... 89.136491 88.888888
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25 3328.0 83.130825 ... 86.946008 84.298943
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26 3456.0 81.849303 ... 81.932484 85.858966
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27 3584.0 87.211821 ... 88.761490 91.563533
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28 3712.0 85.896254 ... 82.152425 83.317214
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29 3840.0 83.655065 ... 86.738820 87.493673
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30 3968.0 93.219206 ... 87.535103 87.913500
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31 4096.0 93.596744 ... 83.311685 90.810373
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11 1536.0 80.430545 ... 76.106321 76.106321
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12 1664.0 63.372618 ... 62.492442 62.492442
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13 1792.0 72.983276 ... 69.810085 69.810085
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14 1920.0 69.467336 ... 69.818184 69.818184
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15 2048.0 73.584279 ... 75.234154 74.898285
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16 2176.0 82.137338 ... 80.173899 80.494588
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17 2304.0 68.251065 ... 73.275679 73.275679
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18 2432.0 71.125224 ... 81.433227 81.908060
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19 2560.0 77.833728 ... 76.560748 75.676673
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20 2688.0 84.108772 ... 81.227100 83.186525
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21 2816.0 83.712490 ... 79.298560 78.726003
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22 2944.0 81.832567 ... 80.122235 78.979452
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23 3072.0 80.890151 ... 80.890151 82.903517
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24 3200.0 79.601989 ... 82.790959 88.765601
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25 3328.0 84.101981 ... 82.843841 82.088138
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26 3456.0 81.766291 ... 85.494768 83.806205
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27 3584.0 85.879071 ... 95.553020 94.847460
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28 3712.0 82.491612 ... 88.876645 83.386762
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29 3840.0 81.138664 ... 82.285715 82.224536
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30 3968.0 86.114283 ... 81.512316 88.167587
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31 4096.0 93.662059 ... 90.079009 90.321484
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[32 rows x 5 columns]
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@@ -503,7 +503,7 @@ 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 31.194 seconds)
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**Total running time of the script:** ( 2 minutes 18.271 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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**03:54.762** total execution time for **getting-started_tutorials** files:
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**03:42.447** 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``) | 02:31.194 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:18.271 | 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``) | 01:13.154 | 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``) | 00:10.981 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.022 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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