[GH-PAGES] Updated website
This commit is contained in:
@@ -245,7 +245,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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10 4194304.0 780.190482 780.190482
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11 8388608.0 812.429770 812.429770
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12 16777216.0 833.084721 833.084721
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13 33554432.0 842.004273 843.811163
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14 67108864.0 847.448255 848.362445
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15 134217728.0 849.737435 850.656574
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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 40.796 seconds)
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**Total running time of the script:** ( 1 minutes 47.140 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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1 384.0 585.142862 585.142862 151.703707
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2 512.0 655.360017 606.814814 154.566038
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3 640.0 682.666684 640.000002 160.000000
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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 12160.0 814.058574 405.755985 198.834951
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95 12416.0 814.163950 411.722274 198.854847
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96 12544.0 814.214963 412.546756 198.913776
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97 12672.0 814.265046 411.679167 199.069228
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93 12160.0 814.058574 405.755985 198.936606
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94 12288.0 814.111783 415.661740 198.995960
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95 12416.0 814.163950 411.296057 198.805107
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96 12544.0 814.214963 412.971190 198.913776
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97 12672.0 814.265046 411.888249 198.971549
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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 19.085 seconds)
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**Total running time of the script:** ( 3 minutes 27.130 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -457,38 +457,38 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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.. code-block:: none
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matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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0 256.0 2.730667 ... 3.276800 2.978909
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1 384.0 7.372800 ... 8.507077 8.507077
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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 ... 34.028308 34.028308
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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 68.147202
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10 1536.0 80.430545 ... 80.430545 80.430545
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11 1664.0 62.929456 ... 63.372618 62.929456
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12 1792.0 72.983276 ... 63.499573 63.142831
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13 1920.0 68.776119 ... 70.892307 70.892307
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14 2048.0 73.584279 ... 78.398206 78.033565
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15 2176.0 83.155572 ... 87.115360 86.739860
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16 2304.0 68.251065 ... 77.810656 77.558029
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17 2432.0 71.305746 ... 75.726318 75.522751
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18 2560.0 77.833728 ... 81.715711 81.920002
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19 2688.0 83.737433 ... 90.966561 90.316801
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20 2816.0 84.035084 ... 83.552120 83.873477
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21 2944.0 82.509987 ... 83.899046 84.040530
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22 3072.0 81.589488 ... 86.184329 89.735509
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23 3200.0 84.993363 ... 96.240602 96.240602
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24 3328.0 83.226931 ... 85.806075 84.895397
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25 3456.0 82.604067 ... 84.068369 88.692595
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26 3584.0 87.211821 ... 100.017124 100.351999
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27 3712.0 85.091436 ... 89.513749 87.094458
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28 3840.0 84.228485 ... 92.390975 85.531326
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29 3968.0 91.954739 ... 85.034103 91.540836
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30 4096.0 87.495257 ... 89.597949 93.336389
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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0 256.0 2.730667 ... 3.276800 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 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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5 896.0 37.971025 ... 40.140799 40.140799
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6 1024.0 49.932191 ... 53.773130 53.773130
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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 68.147202
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10 1536.0 80.430545 ... 81.355034 79.526831
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11 1664.0 62.929456 ... 63.372618 62.929456
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12 1792.0 72.983276 ... 63.499573 63.142831
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13 1920.0 68.776119 ... 71.257735 71.257735
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14 2048.0 73.262953 ... 78.033565 77.672296
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15 2176.0 83.155572 ... 87.115360 86.739860
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16 2304.0 68.251065 ... 78.064941 77.810656
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17 2432.0 71.305746 ... 75.726318 75.522751
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18 2560.0 77.833728 ... 82.125311 81.715711
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21 2944.0 82.373605 ... 83.617504 82.373605
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24 3328.0 82.369902 ... 86.320498 86.736504
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25 3456.0 78.578525 ... 84.332184 87.823058
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26 3584.0 87.381330 ... 99.684470 99.463928
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27 3712.0 83.247783 ... 89.916604 87.018592
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28 3840.0 84.874902 ... 92.275341 86.332554
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29 3968.0 92.864488 ... 86.664727 92.512459
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30 4096.0 86.592080 ... 87.552332 93.271527
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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 7.559 seconds)
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**Total running time of the script:** ( 6 minutes 16.209 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.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 1024.0 361.411758 99.902435 315.076934
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0 1024.0 361.411758 99.497980 311.088617
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1 1536.0 405.098894 133.083026 344.523365
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2 2048.0 496.484863 158.554837 334.367350
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2 2048.0 496.484863 158.045011 334.367350
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3 2560.0 461.954908 182.857144 330.322572
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4 3072.0 519.211251 191.501303 320.556515
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5 3584.0 554.941930 208.271186 309.410081
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5 3584.0 554.941930 208.271186 308.301075
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21 11776.0 421.198220 249.888595 289.573776
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7 4608.0 500.416301 232.336141 286.507772
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8 5120.0 529.655159 243.809526 286.433562
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9 5632.0 542.843364 244.426754 291.310338
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11 6656.0 534.260858 256.410903 286.793541
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15 8704.0 414.476194 267.472468 286.158893
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17 9728.0 438.857162 279.942444 288.593329
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21 11776.0 421.826879 249.667843 289.573776
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24 13312.0 409.599999 253.160074 289.391298
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25 13824.0 405.842204 256.991469 292.313649
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26 14336.0 395.475867 255.619613 288.402346
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29 15872.0 372.000001 263.071829 290.341468
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27 14848.0 383.999990 256.922861 288.544136
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28 15360.0 380.041240 258.513318 288.225185
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29 15872.0 372.000001 261.446802 289.239176
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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 13.781 seconds)
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**Total running time of the script:** ( 2 minutes 13.538 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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**13:21.234** total execution time for **getting-started_tutorials** files:
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**13:44.030** 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``) | 06:07.559 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:16.209 | 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``) | 03:19.085 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.130 | 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``) | 02:13.781 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.538 | 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``) | 01:40.796 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.140 | 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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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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