[GH-PAGES] Updated website
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@@ -238,14 +238,14 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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@@ -255,7 +255,7 @@ 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:** ( 1 minutes 43.473 seconds)
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**Total running time of the script:** ( 1 minutes 40.155 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -278,17 +278,17 @@ 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 188.321838
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0 256.0 512.000001 546.133347 186.181817
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.. ... ... ... ...
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96 12544.0 814.214963 412.546756 199.012395
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97 12672.0 814.265046 411.679167 199.069228
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[98 rows x 4 columns]
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@@ -306,7 +306,7 @@ 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:** ( 3 minutes 21.420 seconds)
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**Total running time of the script:** ( 3 minutes 20.786 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -458,37 +458,37 @@ 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 2.730667 ... 2.978909 2.978909
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 16.384000 15.420235
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0 256.0 2.730667 ... 3.276800 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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5 896.0 39.025776 ... 39.025776 39.025776
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13 1920.0 69.467336 ... 70.172588 70.172588
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10 1536.0 79.526831 ... 79.526831 79.526831
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11 1664.0 62.929456 ... 62.492442 62.061463
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21 2944.0 81.967162 ... 81.967162 81.698415
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22 3072.0 80.659693 ... 88.750943 88.750943
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23 3200.0 84.432717 ... 94.955488 95.096582
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24 3328.0 82.939284 ... 84.695641 81.254285
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25 3456.0 80.300370 ... 82.435141 88.497878
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26 3584.0 83.177979 ... 88.586589 94.947616
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27 3712.0 85.675250 ... 89.035062 87.170458
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28 3840.0 78.433173 ... 84.355978 91.511791
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29 3968.0 86.849777 ... 90.791620 84.040329
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30 4096.0 93.077479 ... 86.480498 83.365047
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15 2176.0 83.155572 ... 85.998493 85.632545
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17 2432.0 71.125224 ... 74.521127 84.621881
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18 2560.0 77.833728 ... 81.108913 81.108913
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19 2688.0 83.186525 ... 89.888756 89.464755
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20 2816.0 83.074685 ... 82.916747 81.293956
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21 2944.0 81.967162 ... 82.237674 81.298583
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22 3072.0 81.238312 ... 88.612060 88.890270
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23 3200.0 84.656085 ... 95.665176 94.674553
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24 3328.0 83.468170 ... 82.843841 84.695641
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25 3456.0 81.683457 ... 90.281712 90.994998
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26 3584.0 84.986191 ... 87.296493 95.047985
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28 3840.0 84.228485 ... 91.701494 85.465227
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29 3968.0 91.062642 ... 85.271796 89.394823
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30 4096.0 87.352901 ... 88.011627 87.154371
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[31 rows x 5 columns]
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@@ -498,7 +498,7 @@ 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:** ( 6 minutes 1.040 seconds)
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**Total running time of the script:** ( 5 minutes 55.972 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -240,7 +240,7 @@ References
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.482 seconds)
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**Total running time of the script:** ( 0 minutes 0.480 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -38,36 +38,36 @@ Layer Normalization
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layer-norm-backward:
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N Triton Torch Apex
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0 1024.0 307.200008 98.303995 307.200008
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0 1024.0 307.200008 98.303995 303.407414
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1 1536.0 347.773587 134.540150 341.333333
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2 2048.0 420.102553 161.684218 325.509933
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3 2560.0 458.507457 181.775141 325.079368
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4 3072.0 511.999982 192.501302 320.556515
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2 2048.0 420.102553 161.684218 323.368435
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3 2560.0 455.111129 181.775141 325.079368
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4 3072.0 511.999982 192.501302 319.168834
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29 15872.0 371.637071 261.626369 289.899545
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@@ -339,7 +339,7 @@ Layer Normalization
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 2 minutes 12.002 seconds)
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**Total running time of the script:** ( 2 minutes 11.400 seconds)
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.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
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@@ -5,16 +5,16 @@
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Computation times
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=================
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**13:18.417** total execution time for **getting-started_tutorials** files:
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**13:08.793** 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``) | 06:01.040 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:55.972 | 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``) | 03:21.420 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:20.786 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.002 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.400 | 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``) | 01:43.473 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.155 | 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``) | 00:00.482 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.480 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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