[GH-PAGES] Updated website
This commit is contained in:
@@ -235,7 +235,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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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 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 341.333321
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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 39.514 seconds)
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**Total running time of the script:** ( 1 minutes 42.464 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 190.511628
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0 256.0 512.000001 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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3 640.0 682.666684 640.000002 158.759699
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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 198.631953
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95 12416.0 812.498981 412.149375 198.556711
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96 12544.0 812.566838 412.546756 198.815254
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97 12672.0 811.007961 412.097543 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 412.149375 198.805107
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96 12544.0 812.566838 412.546756 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 22.699 seconds)
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**Total running time of the script:** ( 3 minutes 19.837 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -459,37 +459,37 @@ 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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0 256.0 2.730667 ... 3.276800 2.978909
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1 384.0 7.372800 ... 7.899428 7.899428
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2 512.0 14.563555 ... 15.420235 15.420235
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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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5 896.0 39.025776 ... 41.321411 39.025776
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4 768.0 32.768000 ... 34.028308 34.028308
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5 896.0 37.971025 ... 40.140799 39.025776
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6 1024.0 49.932191 ... 53.773130 52.428801
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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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9 1408.0 64.138541 ... 68.147202 67.305878
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10 1536.0 80.430545 ... 80.430545 78.643199
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11 1664.0 63.372618 ... 63.372618 62.492442
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12 1792.0 72.983276 ... 63.499573 63.142831
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13 1920.0 69.120002 ... 71.626943 71.257735
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14 2048.0 73.908442 ... 78.033565 76.959706
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15 2176.0 83.155572 ... 87.115360 85.632545
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16 2304.0 68.251065 ... 78.064941 76.809875
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17 2432.0 71.125224 ... 75.522751 74.521127
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18 2560.0 77.833728 ... 82.331658 80.908642
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19 2688.0 84.108772 ... 90.966561 89.254248
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20 2816.0 83.552120 ... 83.712490 83.552120
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21 2944.0 82.237674 ... 84.324925 83.899046
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22 3072.0 81.825298 ... 89.735509 89.170242
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23 3200.0 84.432717 ... 96.240602 94.674553
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24 3328.0 82.939284 ... 86.736504 86.113988
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25 3456.0 82.688790 ... 88.014813 81.269178
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26 3584.0 86.457107 ... 99.684470 99.025764
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27 3712.0 83.247783 ... 89.594031 85.675250
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28 3840.0 85.070769 ... 93.090912 87.980905
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29 3968.0 93.648452 ... 86.114283 87.284643
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30 4096.0 89.627865 ... 89.240508 93.792965
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10 1536.0 79.526831 ... 80.430545 78.643199
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11 1664.0 62.929456 ... 63.372618 62.061463
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12 1792.0 72.983276 ... 63.142831 62.790080
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13 1920.0 69.120002 ... 71.257735 70.892307
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14 2048.0 73.262953 ... 78.033565 76.959706
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15 2176.0 83.155572 ... 87.494120 85.998493
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16 2304.0 68.643310 ... 78.064941 76.809875
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17 2432.0 71.125224 ... 75.320281 74.521127
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18 2560.0 77.833728 ... 82.539044 81.715711
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19 2688.0 84.295681 ... 90.966561 89.254248
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20 2816.0 82.838003 ... 83.873477 83.392363
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21 2944.0 82.784108 ... 83.477440 83.758038
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22 3072.0 81.589488 ... 88.473602 88.197981
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23 3200.0 84.099871 ... 96.096095 95.238096
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24 3328.0 83.905938 ... 82.088138 85.297742
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25 3456.0 82.519518 ... 92.244355 92.244355
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26 3584.0 86.457107 ... 91.377427 97.311031
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27 3712.0 85.675250 ... 84.053300 87.246590
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28 3840.0 83.465663 ... 88.971840 89.403396
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29 3968.0 89.855624 ... 92.512459 87.723894
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30 4096.0 93.891376 ... 94.187878 91.553703
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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 16.582 seconds)
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**Total running time of the script:** ( 6 minutes 0.141 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 0.484 seconds)
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**Total running time of the script:** ( 0 minutes 0.493 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -43,16 +43,16 @@ Layer Normalization
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2 2048.0 682.666643 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 501.551037
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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 426.666652
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9 5632.0 704.000002 395.228063 413.357796
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10 6144.0 702.171410 402.885254 409.600010
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5 3584.0 725.873439 384.859062 455.111115
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6 4096.0 728.177767 381.023256 455.111095
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7 4608.0 670.254540 394.267384 428.651163
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8 5120.0 688.403381 397.669909 422.268057
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9 5632.0 704.000002 395.228063 415.262685
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15 8704.0 630.153861 389.005597 380.502740
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16 9216.0 609.322328 407.337026 383.999986
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17 9728.0 589.575753 409.599987 383.369452
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@@ -60,12 +60,12 @@ Layer Normalization
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19 10752.0 551.384634 411.559798 381.445676
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20 11264.0 536.380957 406.826188 373.134567
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21 11776.0 523.377770 409.599991 377.587162
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22 12288.0 517.389457 413.911572 383.251457
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22 12288.0 517.389457 413.911572 382.505826
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23 12800.0 505.679014 410.420828 376.470582
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24 13312.0 494.180982 405.699062 376.310952
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25 13824.0 482.934503 411.888257 379.389355
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26 14336.0 471.967074 406.695045 374.185964
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27 14848.0 461.297068 408.192434 374.712936
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27 14848.0 461.297068 408.192434 375.304904
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28 15360.0 454.269882 406.214870 378.092307
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29 15872.0 447.887117 406.974373 376.225175
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@@ -389,7 +389,7 @@ Layer Normalization
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 26.747 seconds)
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**Total running time of the script:** ( 5 minutes 19.504 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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**16:46.026** total execution time for **getting-started_tutorials** files:
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**16:22.439** 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``) | 06:16.582 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.141 | 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``) | 05:26.747 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:19.504 | 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``) | 03:22.699 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:19.837 | 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``) | 01:39.514 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:42.464 | 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``) | 00:00.484 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.493 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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