[GH-PAGES] Updated website
This commit is contained in:
@@ -328,10 +328,10 @@ for different problem sizes.</p>
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3 32768.0 76.800002 76.800002
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@@ -340,7 +340,7 @@ for different problem sizes.</p>
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15 134217728.0 849.737435 850.656574
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</pre></div>
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</div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 40.793 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 44.788 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
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<p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p>
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@@ -369,17 +369,17 @@ We will then compare its performance against (1) <code class="code docutils lite
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<p class="sphx-glr-script-out">Out:</p>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>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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1 384.0 585.142862 585.142862 151.703707
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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 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 12160.0 812.359066 405.333344 198.530610
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94 12288.0 812.429770 415.661740 198.794749
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95 12416.0 812.498981 411.296057 198.457532
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96 12544.0 810.925276 412.971190 198.618504
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97 12672.0 811.007961 412.097543 198.776477
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93 12160.0 812.359066 406.179533 198.631953
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94 12288.0 812.429770 415.661740 198.995960
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95 12416.0 810.840807 412.149375 198.556711
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96 12544.0 810.925276 412.971190 198.815254
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97 12672.0 811.007961 412.097543 198.873965
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[98 rows x 4 columns]
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</pre></div>
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@@ -392,7 +392,7 @@ We will then compare its performance against (1) <code class="code docutils lite
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Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
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</ul>
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</div></blockquote>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.140 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.445 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
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<p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
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|
@@ -566,41 +566,41 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>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 7.899428
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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 31.597714 ... 34.028308 34.028308
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5 896.0 37.971025 ... 40.140799 39.025776
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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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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 66.485074
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9 1408.0 64.138541 ... 68.147202 65.684049
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10 1536.0 79.526831 ... 81.355034 78.643199
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11 1664.0 62.929456 ... 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 ... 71.257735 70.892307
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14 2048.0 73.262953 ... 78.033565 77.314362
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15 2176.0 83.500614 ... 87.876193 85.998493
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16 2304.0 68.446623 ... 77.810656 77.057651
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13 1920.0 69.120002 ... 71.257735 71.257735
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14 2048.0 73.584279 ... 78.398206 77.314362
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15 2176.0 83.500614 ... 87.494120 85.998493
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16 2304.0 68.446623 ... 78.064941 77.057651
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17 2432.0 71.305746 ... 86.711310 85.393507
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18 2560.0 77.833728 ... 82.539044 81.715711
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19 2688.0 83.552988 ... 90.966561 88.422041
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20 2816.0 84.035084 ... 84.687779 83.712490
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21 2944.0 79.104810 ... 84.040530 82.646820
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22 3072.0 78.972252 ... 89.593522 87.924073
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23 3200.0 83.116885 ... 96.240602 94.674553
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24 3328.0 82.369902 ... 85.398926 84.795401
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25 3456.0 81.108217 ... 92.562076 85.767626
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26 3584.0 87.296493 ... 97.628001 97.416461
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27 3712.0 84.230479 ... 88.718781 87.552452
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28 3840.0 80.313725 ... 90.835321 86.875096
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29 3968.0 89.525997 ... 85.479929 89.855624
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30 4096.0 91.616198 ... 92.214171 89.359338
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18 2560.0 77.833728 ... 82.956960 81.512437
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19 2688.0 83.369354 ... 90.316801 89.254248
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20 2816.0 83.873477 ... 84.035084 82.916747
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21 2944.0 82.646820 ... 82.237674 81.034195
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22 3072.0 82.301023 ... 89.735509 86.579673
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23 3200.0 84.880639 ... 96.096095 94.674553
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24 3328.0 83.905938 ... 85.602017 84.995628
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25 3456.0 82.015834 ... 91.928814 88.595129
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26 3584.0 86.540320 ... 96.579370 87.042978
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27 3712.0 85.675250 ... 89.835744 87.552452
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28 3840.0 83.528704 ... 87.841141 89.548180
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29 3968.0 86.053553 ... 92.442373 87.035620
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30 4096.0 93.792965 ... 85.055593 85.271746
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[31 rows x 5 columns]
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</pre></div>
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</div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 6.178 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 5.069 seconds)</p>
|
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
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<p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
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|
@@ -195,35 +195,35 @@ to download the full example code</p>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
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N Triton Torch Apex
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0 1024.0 585.142849 277.694907 468.114273
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1 1536.0 614.400016 323.368435 511.999982
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2 2048.0 682.666643 337.814445 520.126988
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1 1536.0 630.153868 323.368435 511.999982
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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 496.484863
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5 3584.0 725.873439 384.859062 455.111115
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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 396.387087 421.302872
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8 5120.0 694.237267 397.669909 420.102563
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9 5632.0 704.000002 396.969169 413.357796
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10 6144.0 702.171410 402.885254 409.600010
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11 6656.0 705.271522 400.360920 400.360920
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12 7168.0 690.891575 394.116833 387.459443
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7 4608.0 670.254540 394.267384 426.173427
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8 5120.0 688.403381 397.669909 424.455959
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9 5632.0 704.000002 395.228063 413.357796
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10 6144.0 702.171410 402.885254 411.313806
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11 6656.0 705.271522 398.861429 400.360920
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12 7168.0 690.891575 396.844306 387.459443
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13 7680.0 682.666656 392.587863 387.634072
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14 8192.0 636.271854 391.259714 371.308771
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15 8704.0 633.018177 390.095225 380.502740
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16 9216.0 611.850618 403.989025 381.023249
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17 9728.0 591.817503 408.524944 382.427505
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18 10240.0 566.920437 409.600010 382.803739
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19 10752.0 551.384634 410.577576 380.601764
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20 11264.0 536.380957 403.185684 370.831272
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21 11776.0 523.377770 408.711507 377.587162
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22 12288.0 517.389457 413.042029 382.505826
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23 12800.0 505.679014 410.420828 377.163903
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24 13312.0 494.754948 404.927765 376.976995
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25 13824.0 482.934503 409.600016 378.092325
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26 14336.0 471.967074 403.121247 373.576536
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27 14848.0 461.297068 406.099164 375.304904
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14 8192.0 636.271854 393.609605 371.308771
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15 8704.0 630.153861 389.005597 380.502740
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16 9216.0 606.814809 407.337026 383.002605
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17 9728.0 589.575753 409.599987 382.427505
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18 10240.0 566.920437 408.578556 382.803739
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||||
19 10752.0 549.623009 411.559798 380.601764
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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 12288.0 516.031509 413.911572 383.251457
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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 375.304904
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||||
28 15360.0 454.269882 406.214870 378.092307
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29 15872.0 447.098578 408.282944 376.783377
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29 15872.0 447.098578 406.974373 376.225175
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||||
</pre></div>
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||||
</div>
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||||
<div class="line-block">
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||||
@@ -537,7 +537,7 @@ to download the full example code</p>
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||||
<span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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||||
</pre></div>
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||||
</div>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.882 seconds)</p>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.552 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
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||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">05-layer-norm.py</span></code></a></p>
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@@ -174,7 +174,7 @@
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<div class="section" id="computation-times">
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<span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
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||||
<p><strong>16:35.469</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>16:38.329</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
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<col style="width: 85%" />
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@@ -183,19 +183,19 @@
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</colgroup>
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<tbody>
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<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
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<td><p>06:06.178</p></td>
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<td><p>06:05.069</p></td>
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<td><p>0.0 MB</p></td>
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||||
</tr>
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||||
<tr class="row-even"><td><p><a class="reference internal" href="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
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<td><p>05:24.882</p></td>
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<td><p>05:24.552</p></td>
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<td><p>0.0 MB</p></td>
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||||
</tr>
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||||
<tr class="row-odd"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
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<td><p>03:23.140</p></td>
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<td><p>03:23.445</p></td>
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<td><p>0.0 MB</p></td>
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</tr>
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<tr class="row-even"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
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<td><p>01:40.793</p></td>
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<td><p>01:44.788</p></td>
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<td><p>0.0 MB</p></td>
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</tr>
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<tr class="row-odd"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
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|
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