[GH-PAGES] Updated website
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@@ -237,22 +237,22 @@ 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 4.363636 9.600000
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1 8192.0 8.727273 19.200000
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15 134217728.0 846.080710 850.656574
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@@ -260,7 +260,7 @@ 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 38.363 seconds)
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**Total running time of the script:** ( 1 minutes 42.289 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -279,16 +279,16 @@ 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 186.181817
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1 384.0 585.142862 585.142862 149.853661
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1 384.0 614.400016 558.545450 153.600004
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4 768.0 722.823517 664.216187 162.754967
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.. ... ... ... ...
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93 12160.0 815.765209 406.179533 198.530610
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95 12416.0 815.835709 412.577363 198.457532
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97 12672.0 814.265046 412.097543 198.776477
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93 12160.0 815.765209 405.755985 199.038365
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94 12288.0 815.800825 416.101597 199.197579
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95 12416.0 814.163950 412.149375 198.854847
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96 12544.0 814.214963 413.183734 199.012395
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97 12672.0 814.265046 412.516771 199.167004
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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 24.847 seconds)
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**Total running time of the script:** ( 3 minutes 28.192 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -459,36 +459,36 @@ 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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1 384.0 7.372800 ... 8.507077 7.899428
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2 512.0 14.563555 ... 15.420235 15.420235
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8 1280.0 50.567902 ... 56.888887 56.888887
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26 3584.0 86.291162 ... 98.591437 98.591437
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29 3968.0 92.302520 ... 91.472214 90.994735
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30 4096.0 93.271527 ... 92.563952 92.372834
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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 43.515 seconds)
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**Total running time of the script:** ( 6 minutes 37.755 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 0.327 seconds)
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**Total running time of the script:** ( 0 minutes 0.341 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 1024.0 351.085705 98.698793 311.088617
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1 1536.0 396.387087 132.604320 341.333333
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3 2560.0 451.764698 181.238943 325.079368
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27 14848.0 383.174202 255.816222 287.612590
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29 15872.0 369.832994 260.196726 288.800600
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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 15.333 seconds)
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**Total running time of the script:** ( 2 minutes 15.414 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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**14:02.386** total execution time for **getting-started_tutorials** files:
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**14:03.991** 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``) | 06:43.515 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:37.755 | 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``) | 03:24.847 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:28.192 | 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``) | 02:15.333 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:15.414 | 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``) | 01:38.363 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:42.289 | 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``) | 00:00.327 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.341 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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