[GH-PAGES] Updated website
This commit is contained in:
@@ -324,10 +324,10 @@ for different problem sizes.</p>
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0 4096.0 9.600000 9.600000
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@@ -339,7 +339,7 @@ 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 42.405 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 42.907 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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@@ -374,17 +374,17 @@ 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 190.511628
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1 384.0 585.142862 585.142862 153.600004
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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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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 12160.0 814.058574 406.179533 198.530610
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94 12288.0 814.111783 415.661740 198.895304
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95 12416.0 812.498981 411.296057 198.457532
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96 12544.0 812.566838 412.971190 198.618504
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97 12672.0 812.633240 412.516771 198.679085
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93 12160.0 812.359066 405.755985 198.936606
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94 12288.0 814.111783 415.661740 199.096718
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95 12416.0 812.498981 412.577363 198.854847
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96 12544.0 812.566838 412.971190 199.012395
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97 12672.0 812.633240 412.097543 199.167004
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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 21.462 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.982 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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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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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 39.025776 ... 40.140799 39.025776
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6 1024.0 51.150050 ... 52.428801 52.428801
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6 1024.0 51.150050 ... 53.092457 52.428801
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7 1152.0 45.242181 ... 46.656000 46.656000
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8 1280.0 51.200001 ... 56.888887 56.109587
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9 1408.0 64.138541 ... 67.305878 66.485074
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10 1536.0 80.430545 ... 79.526831 78.643199
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11 1664.0 62.929456 ... 62.061463 62.061463
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12 1792.0 72.512412 ... 71.588687 71.588687
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12 1792.0 72.512412 ... 62.441243 62.441243
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13 1920.0 69.120002 ... 70.172588 70.172588
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14 2048.0 73.908442 ... 76.959706 76.959706
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15 2176.0 83.155572 ... 86.367588 85.269692
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16 2304.0 68.446623 ... 76.809875 76.563695
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17 2432.0 71.305746 ... 74.918570 84.877538
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18 2560.0 77.833728 ... 81.310171 81.108913
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19 2688.0 83.552988 ... 89.888756 89.464755
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20 2816.0 79.733474 ... 83.552120 83.074685
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21 2944.0 82.237674 ... 81.564701 79.610276
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22 3072.0 82.661468 ... 88.612060 89.310890
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23 3200.0 83.989503 ... 95.665176 95.238096
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24 3328.0 83.130825 ... 84.200347 83.808259
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25 3456.0 82.688790 ... 87.727494 88.400840
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26 3584.0 86.958797 ... 97.311031 88.764234
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27 3712.0 84.159518 ... 82.287760 85.822459
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28 3840.0 84.679936 ... 86.670843 91.511791
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29 3968.0 85.810547 ... 91.198760 86.788006
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30 4096.0 93.336389 ... 92.372834 88.243079
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14 2048.0 73.908442 ... 77.314362 76.959706
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15 2176.0 83.500614 ... 86.367588 85.632545
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16 2304.0 68.446623 ... 76.563695 76.563695
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17 2432.0 71.305746 ... 74.719317 83.614477
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18 2560.0 78.019048 ... 80.709358 80.313727
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19 2688.0 83.922689 ... 88.628636 88.628636
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20 2816.0 79.298560 ... 83.552120 83.233226
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21 2944.0 80.510553 ... 81.967162 82.102191
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22 3072.0 81.825298 ... 88.335577 88.197981
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23 3200.0 84.321474 ... 87.549434 95.238096
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24 3328.0 82.748617 ... 80.437202 83.808259
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25 3456.0 81.766291 ... 91.304157 90.687926
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26 3584.0 83.177979 ... 94.647779 97.628001
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27 3712.0 85.455380 ... 86.192706 88.640059
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28 3840.0 80.110103 ... 90.649182 85.996889
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29 3968.0 91.747320 ... 78.421554 83.578035
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30 4096.0 91.491294 ... 82.190894 84.334104
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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 23.071 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 26.600 seconds)</p>
|
||||
<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">
|
||||
<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 98.698793 299.707322
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1 1536.0 351.085717 135.032961 335.127270
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2 2048.0 427.408686 160.627450 321.254900
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3 2560.0 461.954908 181.775141 328.556154
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4 3072.0 519.211251 192.501302 319.168834
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5 3584.0 554.941930 208.271186 312.785456
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6 4096.0 568.231237 220.412561 300.623865
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7 4608.0 500.416301 232.825259 287.251954
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8 5120.0 527.381977 241.414550 281.834861
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9 5632.0 547.238891 242.671458 288.820505
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10 6144.0 550.208948 251.631408 287.438593
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11 6656.0 534.260858 256.410903 286.279570
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12 7168.0 510.480705 257.919035 282.482768
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13 7680.0 482.513091 265.208635 279.272719
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14 8192.0 463.698115 267.130429 276.523207
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15 8704.0 417.791980 263.424974 279.646592
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16 9216.0 428.651187 273.066667 288.751954
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17 9728.0 439.683593 280.615388 288.950501
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18 10240.0 446.836366 286.767793 289.469963
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19 10752.0 432.241202 246.229020 288.644296
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20 11264.0 429.786952 242.671458 283.966395
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21 11776.0 423.089806 248.351483 287.219500
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22 12288.0 418.314886 253.796902 294.323369
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23 12800.0 416.260178 253.047766 289.265522
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24 13312.0 413.844560 253.965017 291.769875
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25 13824.0 403.130022 256.792581 291.543045
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26 14336.0 397.302533 255.619613 288.402346
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27 14848.0 381.533186 255.816222 287.844912
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28 15360.0 371.987899 261.818180 288.450715
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29 15872.0 366.276922 261.626369 289.679087
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0 1024.0 311.088617 99.902435 319.168844
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1 1536.0 354.461542 133.565214 344.523365
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2 2048.0 423.724127 160.627450 334.367350
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3 2560.0 461.954908 181.775141 330.322572
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4 3072.0 515.580429 191.005181 316.429186
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5 3584.0 551.384634 208.776702 308.301075
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6 4096.0 568.231237 219.919464 300.623865
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7 4608.0 500.416301 232.825259 288.751954
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8 5120.0 529.655159 241.414550 287.102804
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9 5632.0 540.671974 244.426754 291.939522
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10 6144.0 548.163546 250.775512 287.438593
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11 6656.0 530.710976 256.000009 285.767438
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12 7168.0 516.612607 255.240352 279.726817
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13 7680.0 485.052616 265.590783 284.006166
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14 8192.0 464.794337 259.035567 279.272725
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||||
15 8704.0 416.127506 267.472468 285.767450
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||||
16 9216.0 431.157889 273.742580 289.887291
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||||
17 9728.0 438.857162 279.942444 289.308559
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||||
18 10240.0 446.836366 287.102804 290.496460
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||||
19 10752.0 429.364408 246.699797 289.941565
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||||
20 11264.0 429.786952 245.091565 286.372873
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||||
21 11776.0 421.826879 249.447482 288.391833
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||||
22 12288.0 421.905564 254.234486 294.911986
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23 12800.0 413.458944 253.884294 290.084977
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||||
24 13312.0 411.711355 253.360814 290.179836
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||||
25 13824.0 404.604870 256.991469 292.056329
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||||
26 14336.0 397.761846 254.673567 288.402346
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||||
27 14848.0 382.351933 257.293872 289.481735
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||||
28 15360.0 376.932517 257.970599 288.000007
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||||
29 15872.0 368.402336 262.527914 291.006885
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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 11.205 seconds)</p>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 12.559 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">
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||||
<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>12:38.153</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:46.059</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>05:23.071</p></td>
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||||
<td><p>05:26.600</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>03:21.462</p></td>
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||||
<td><p>03:23.982</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>02:11.205</p></td>
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||||
<td><p>02:12.559</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>01:42.405</p></td>
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||||
<td><p>01:42.907</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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