[GH-PAGES] Updated website
This commit is contained in:
@@ -324,7 +324,7 @@ for different problem sizes.</p>
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@@ -334,12 +334,12 @@ for different problem sizes.</p>
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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 42.417 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 43.820 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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@@ -378,13 +378,13 @@ We will then compare its performance against (1) <code class="code docutils lite
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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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4 768.0 722.823517 664.216187 162.754967
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4 768.0 722.823517 664.216187 163.839992
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.. ... ... ... ...
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93 12160.0 812.359066 406.179533 198.936606
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94 12288.0 812.429770 415.661740 199.096718
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96 12544.0 812.566838 412.546756 199.012395
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97 12672.0 812.633240 412.097543 199.069228
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93 12160.0 812.359066 406.179533 198.834951
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94 12288.0 814.111783 415.661740 198.995960
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95 12416.0 812.498981 411.296057 198.755369
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97 12672.0 812.633240 412.097543 198.971549
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[98 rows x 4 columns]
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</pre></div>
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@@ -397,7 +397,7 @@ 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 23.539 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 24.302 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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@@ -568,42 +568,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
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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>matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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0 256.0 2.978909 ... 3.276800 2.978909
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1 384.0 7.372800 ... 8.507077 8.507077
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0 256.0 2.730667 ... 2.978909 2.978909
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1 384.0 7.372800 ... 7.899428 7.899428
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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 ... 34.028308 34.028308
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5 896.0 37.971025 ... 40.140799 39.025776
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5 896.0 39.025776 ... 40.140799 39.025776
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6 1024.0 51.150050 ... 53.773130 52.428801
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7 1152.0 45.242181 ... 47.396572 46.656000
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7 1152.0 45.242181 ... 46.656000 46.656000
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8 1280.0 51.200001 ... 56.888887 56.888887
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9 1408.0 64.138541 ... 67.305878 67.305878
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10 1536.0 80.430545 ... 80.430545 79.526831
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11 1664.0 62.929456 ... 62.492442 62.061463
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12 1792.0 72.983276 ... 72.512412 72.047592
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13 1920.0 69.120002 ... 70.530615 70.530615
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14 2048.0 73.908442 ... 76.959706 76.959706
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15 2176.0 83.500614 ... 85.998493 85.269692
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16 2304.0 68.251065 ... 76.809875 76.563695
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14 2048.0 73.908442 ... 77.314362 76.959706
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15 2176.0 83.500614 ... 85.998493 85.632545
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16 2304.0 68.251065 ... 76.809875 76.809875
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17 2432.0 71.305746 ... 74.719317 84.877538
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18 2560.0 77.833728 ... 81.310171 81.108913
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19 2688.0 83.369354 ... 89.044730 88.422041
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20 2816.0 78.868366 ... 83.074685 83.074685
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21 2944.0 80.380696 ... 82.646820 82.921853
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22 3072.0 81.943708 ... 83.146995 88.335577
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23 3200.0 84.099871 ... 95.808380 94.814812
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24 3328.0 83.710812 ... 84.995628 84.546440
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25 3456.0 81.683457 ... 90.079964 89.183149
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26 3584.0 84.229877 ... 90.367227 97.100854
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27 3712.0 85.528545 ... 88.404730 87.094458
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28 3840.0 82.716526 ... 86.332554 91.322872
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29 3968.0 85.750244 ... 91.130650 85.751184
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30 4096.0 93.466385 ... 92.309303 87.267706
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18 2560.0 77.833728 ... 81.108913 80.511054
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19 2688.0 83.369354 ... 89.676257 89.254248
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20 2816.0 79.154642 ... 83.552120 82.916747
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21 2944.0 81.967162 ... 82.646820 82.441740
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22 3072.0 82.540970 ... 89.593522 86.712254
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23 3200.0 80.503145 ... 91.756271 93.158662
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24 3328.0 82.275764 ... 84.795401 85.602017
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25 3456.0 82.688790 ... 91.046379 88.400840
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26 3584.0 87.381330 ... 97.522120 98.160909
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27 3712.0 84.159518 ... 88.326564 83.040189
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28 3840.0 84.164384 ... 92.159996 85.333335
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29 3968.0 92.723355 ... 84.038524 91.130650
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30 4096.0 87.495257 ... 86.536250 91.992956
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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> ( 5 minutes 24.435 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 23.071 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">
|
||||
<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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|
@@ -194,36 +194,36 @@ to download the full example code</p>
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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>layer-norm-backward:
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N Triton Torch Apex
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0 1024.0 311.088617 98.303995 307.200008
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1 1536.0 354.461542 135.032961 341.333333
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2 2048.0 423.724127 160.104230 323.368435
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3 2560.0 461.954908 180.705883 326.808501
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4 3072.0 519.211251 191.999993 319.168834
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5 3584.0 551.384634 208.776702 309.410081
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6 4096.0 568.231237 220.907859 300.623865
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7 4608.0 500.416301 232.825259 292.571431
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8 5120.0 527.381977 244.294240 289.129408
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9 5632.0 545.032265 244.869560 291.310338
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10 6144.0 550.208948 251.202731 288.563606
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11 6656.0 539.675652 256.410903 286.793541
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12 7168.0 512.000004 253.734520 277.470965
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13 7680.0 491.519996 267.130429 284.884090
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14 8192.0 463.698115 259.377306 280.467910
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15 8704.0 416.958106 267.130429 285.377055
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16 9216.0 430.319054 273.742580 289.887291
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17 9728.0 438.033784 280.615388 288.950501
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18 10240.0 446.836366 286.767793 289.811322
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19 10752.0 431.518385 246.699797 289.941565
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20 11264.0 430.471331 245.313973 285.465683
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21 11776.0 421.826879 249.227509 289.277383
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22 12288.0 418.909088 254.893699 294.617366
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23 12800.0 414.574901 253.674644 289.811310
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24 13312.0 412.242569 252.559690 290.179836
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25 13824.0 404.604870 257.190689 292.313649
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26 14336.0 398.683664 256.000002 289.129416
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27 14848.0 382.351933 257.479779 289.012175
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28 15360.0 377.704925 258.151252 288.000007
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29 15872.0 368.046389 261.806182 289.899545
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0 1024.0 311.088617 93.801531 292.571431
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1 1536.0 351.085717 135.529409 344.523365
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2 2048.0 423.724127 161.684218 325.509933
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3 2560.0 461.954908 183.402991 330.322572
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4 3072.0 519.211251 191.999993 317.793096
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5 3584.0 551.384634 208.271186 309.410081
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6 4096.0 564.965515 220.907859 301.546004
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7 4608.0 500.416301 233.316456 292.571431
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8 5120.0 529.655159 242.845844 287.775181
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9 5632.0 536.380957 243.545956 290.683877
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10 6144.0 544.118087 250.349744 286.322318
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11 6656.0 534.260858 255.182111 284.748652
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12 7168.0 510.480705 255.619613 278.820105
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13 7680.0 486.332448 265.208635 280.975614
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14 8192.0 460.440290 266.046015 282.482757
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15 8704.0 417.791980 264.425310 283.826081
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16 9216.0 428.651187 270.065931 286.879380
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||||
17 9728.0 438.857162 281.971008 288.593329
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||||
18 10240.0 446.025405 286.100109 289.129408
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19 10752.0 429.364408 246.699797 290.267711
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||||
20 11264.0 429.104745 245.091565 286.372873
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21 11776.0 423.724129 248.569911 288.097854
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||||
22 12288.0 420.701865 252.493141 294.323369
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||||
23 12800.0 415.135142 253.465340 287.640454
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||||
24 13312.0 411.711355 253.160074 290.707920
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||||
25 13824.0 406.588243 257.790206 292.571423
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||||
26 14336.0 396.844280 254.109315 287.438588
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||||
27 14848.0 386.080180 256.737757 290.662311
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||||
28 15360.0 373.874218 259.422943 289.811315
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||||
29 15872.0 370.913333 263.071829 291.452168
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||||
</pre></div>
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||||
</div>
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||||
<div class="line-block">
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||||
@@ -477,7 +477,7 @@ 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> ( 2 minutes 11.851 seconds)</p>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.781 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>12:42.252</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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||||
<p><strong>12:42.984</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<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>05:24.435</p></td>
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<td><p>05:23.071</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
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||||
<tr class="row-even"><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>03:23.539</p></td>
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||||
<td><p>03:24.302</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="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>02:11.851</p></td>
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<td><p>02:11.781</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>01:42.417</p></td>
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||||
<td><p>01:43.820</p></td>
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||||
<td><p>0.0 MB</p></td>
|
||||
</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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