[GH-PAGES] Updated website
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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 46.215 seconds)
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**Total running time of the script:** ( 1 minutes 42.454 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 512.000001 186.181817
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0 256.0 546.133347 512.000001 186.181817
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1 384.0 614.400016 585.142862 153.600004
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2 512.0 655.360017 585.142849 154.566038
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3 640.0 706.206879 640.000002 158.759699
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3 640.0 706.206879 640.000002 160.000000
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4 768.0 722.823517 664.216187 162.754967
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.. ... ... ... ...
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93 12160.0 812.359066 406.179533 198.733401
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95 12416.0 812.498981 412.149375 198.655991
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96 12544.0 810.925276 412.758863 198.913776
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97 12672.0 811.007961 411.679167 198.971549
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93 12160.0 812.359066 406.179533 198.834951
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94 12288.0 812.429770 415.661740 199.197579
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95 12416.0 812.498981 411.722274 198.755369
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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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@@ -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 32.284 seconds)
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**Total running time of the script:** ( 3 minutes 31.920 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -460,36 +460,36 @@ 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 ... 7.899428 8.507077
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2 512.0 14.563555 ... 16.384000 15.420235
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 15.420235 16.384000
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3 640.0 22.260869 ... 24.380953 24.380953
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4 768.0 32.768000 ... 35.389441 34.028308
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4 768.0 32.768000 ... 34.028308 34.028308
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5 896.0 39.025776 ... 40.140799 39.025776
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7 1152.0 45.242181 ... 47.396572 47.396572
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7 1152.0 45.242181 ... 48.161033 47.396572
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8 1280.0 51.200001 ... 57.690139 57.690139
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10 1536.0 80.430545 ... 81.355034 78.643199
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9 1408.0 64.138541 ... 68.147202 66.485074
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10 1536.0 79.526831 ... 81.355034 79.526831
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11 1664.0 63.372618 ... 63.372618 62.492442
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12 1792.0 72.983276 ... 73.460287 59.467852
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13 1920.0 69.467336 ... 70.892307 71.257735
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14 2048.0 73.584279 ... 78.033565 77.314362
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15 2176.0 83.155572 ... 87.494120 85.998493
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16 2304.0 68.251065 ... 78.064941 77.307030
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17 2432.0 71.125224 ... 86.444504 85.653855
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18 2560.0 77.833728 ... 82.747477 81.715711
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19 2688.0 83.737433 ... 90.748936 89.044730
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20 2816.0 79.587973 ... 84.852542 84.197315
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21 2944.0 81.967162 ... 83.758038 82.102191
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22 3072.0 81.825298 ... 89.877939 88.473602
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23 3200.0 84.656085 ... 96.822991 95.522391
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24 3328.0 83.034941 ... 86.320498 82.891535
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25 3456.0 81.026701 ... 82.350937 87.442050
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26 3584.0 87.296493 ... 99.574077 98.699661
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27 3712.0 84.088676 ... 89.513749 87.860458
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28 3840.0 81.019778 ... 89.766237 90.352941
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29 3968.0 85.992909 ... 92.723355 84.300694
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30 4096.0 93.990003 ... 88.127204 87.495257
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13 1920.0 68.776119 ... 71.257735 70.892307
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14 2048.0 73.584279 ... 78.398206 77.314362
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15 2176.0 83.155572 ... 87.494120 86.367588
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16 2304.0 68.446623 ... 78.064941 77.558029
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17 2432.0 71.487187 ... 86.711310 75.320281
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18 2560.0 77.833728 ... 82.747477 81.613947
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19 2688.0 83.369354 ... 90.966561 89.676257
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20 2816.0 83.552120 ... 84.360174 84.197315
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21 2944.0 81.298583 ... 83.060049 83.198715
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22 3072.0 81.884457 ... 87.787755 85.404375
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23 3200.0 85.106381 ... 96.896287 95.522391
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24 3328.0 83.808259 ... 85.806075 85.602017
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25 3456.0 79.351933 ... 87.064328 89.183149
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26 3584.0 87.127323 ... 91.192076 96.787292
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27 3712.0 85.675250 ... 93.274830 87.937800
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28 3840.0 81.798814 ... 86.197974 90.279183
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29 3968.0 86.051653 ... 92.864488 86.205539
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30 4096.0 94.386588 ... 88.243079 84.573239
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[31 rows x 5 columns]
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@@ -499,7 +499,7 @@ 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 39.020 seconds)
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**Total running time of the script:** ( 7 minutes 8.783 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 0.012 seconds)
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**Total running time of the script:** ( 0 minutes 0.287 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -42,32 +42,32 @@ Layer Normalization
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1 1536.0 630.153868 323.368435 511.999982
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2 2048.0 668.734716 334.367358 520.126988
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3 2560.0 694.237267 362.477870 512.000013
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4 3072.0 712.347810 375.206126 496.484863
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5 3584.0 725.873439 384.859062 451.527536
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5 3584.0 725.873439 384.859062 458.751978
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6 4096.0 728.177767 381.023256 458.293714
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7 4608.0 670.254540 394.267384 426.173427
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8 5120.0 688.403381 397.669909 420.102563
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9 5632.0 704.000002 395.228063 415.262685
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10 6144.0 697.191505 402.885254 409.600010
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8 5120.0 688.403381 397.669909 426.666652
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9 5632.0 698.542675 395.228063 413.357796
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10 6144.0 697.191505 402.885254 411.313806
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29 15872.0 447.098578 406.974373 376.225175
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@@ -393,7 +393,7 @@ Layer Normalization
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 39.388 seconds)
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**Total running time of the script:** ( 5 minutes 37.145 seconds)
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.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
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@@ -385,7 +385,7 @@ This is a Triton implementation of the Flash Attention algorithm
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.073 seconds)
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**Total running time of the script:** ( 0 minutes 0.070 seconds)
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.. _sphx_glr_download_getting-started_tutorials_06-fused-attention.py:
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@@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.010 seconds)
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**Total running time of the script:** ( 0 minutes 0.248 seconds)
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.. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.py:
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@@ -5,20 +5,20 @@
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Computation times
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=================
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**17:37.003** total execution time for **getting-started_tutorials** files:
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**18:00.906** 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``) | 06:39.020 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 07:08.783 | 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``) | 05:39.388 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.145 | 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``) | 03:32.284 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.920 | 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``) | 01:46.215 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:42.454 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.073 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.287 | 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``) | 00:00.012 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.248 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.070 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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