[GH-PAGES] Updated website
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@@ -322,7 +322,7 @@ for different problem sizes.</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 63.999998 63.999998
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3 32768.0 76.800002 76.800002
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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 384.000001
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@@ -337,7 +337,7 @@ for different problem sizes.</p>
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15 134217728.0 851.577704 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> ( 0 minutes 11.041 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.078 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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@@ -392,10 +392,10 @@ We will then compare its performance against (1) <code class="code docutils lite
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4 768.0 702.171410 664.216187 163.839992
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.. ... ... ... ...
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93 12160.0 812.359066 406.179533 199.038365
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94 12288.0 812.429770 416.101597 199.298541
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95 12416.0 810.840807 412.149375 198.954424
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94 12288.0 812.429770 415.661740 199.298541
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95 12416.0 810.840807 412.149375 198.854847
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96 12544.0 810.925276 412.971190 199.111113
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97 12672.0 809.389265 412.097543 199.264875
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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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</pre></div>
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@@ -408,7 +408,7 @@ 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> ( 1 minutes 13.141 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.572 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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@@ -566,42 +566,42 @@ 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 ... 2.978909 2.978909
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1 384.0 7.372800 ... 8.507077 7.899428
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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 ... 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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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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6 1024.0 49.932191 ... 52.428801 52.428801
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7 1152.0 44.566925 ... 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 ... 64.902096 64.902096
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9 1408.0 64.138541 ... 65.684049 64.902096
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10 1536.0 80.430545 ... 76.933564 76.106321
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11 1664.0 63.372618 ... 62.492442 62.492442
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12 1792.0 72.983276 ... 70.246402 69.810085
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13 1920.0 65.207547 ... 69.467336 67.764707
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14 2048.0 73.908442 ... 74.898285 73.584279
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15 2176.0 82.813365 ... 81.143743 81.143743
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16 2304.0 68.446623 ... 73.728002 73.501144
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17 2432.0 71.305746 ... 82.147552 81.908060
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18 2560.0 77.649287 ... 77.465723 77.465723
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19 2688.0 80.027544 ... 81.401408 81.576466
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20 2816.0 81.369790 ... 79.879498 79.443003
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21 2944.0 83.060049 ... 78.979452 77.265163
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22 3072.0 82.540970 ... 82.782312 82.181572
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23 3200.0 82.368085 ... 86.253369 90.523334
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24 3328.0 83.613586 ... 82.653612 82.088138
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25 3456.0 81.849303 ... 85.133652 84.775569
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26 3584.0 87.551500 ... 94.747514 92.220917
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27 3712.0 81.482335 ... 84.230479 82.971218
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28 3840.0 81.138664 ... 84.292684 83.027026
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29 3968.0 89.068569 ... 84.562670 80.864108
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30 4096.0 92.948562 ... 89.717734 90.018600
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13 1920.0 69.467336 ... 70.172588 70.172588
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14 2048.0 73.584279 ... 75.234154 73.908442
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15 2176.0 82.813365 ... 78.916269 80.173899
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16 2304.0 68.446623 ... 73.501144 73.275679
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17 2432.0 71.125224 ... 82.388456 82.388456
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18 2560.0 77.833728 ... 77.283019 76.560748
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19 2688.0 83.369354 ... 81.053536 82.642823
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20 2816.0 82.290955 ... 79.443003 77.882512
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21 2944.0 81.698415 ... 79.356738 78.481940
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22 3072.0 82.420822 ... 82.903517 82.420822
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23 3200.0 81.424937 ... 84.544253 88.765601
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24 3328.0 83.905938 ... 87.368079 82.275764
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25 3456.0 81.108217 ... 86.134151 85.223646
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26 3584.0 83.177979 ... 94.548254 94.847460
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27 3712.0 81.615477 ... 83.526206 84.159518
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28 3840.0 81.557524 ... 81.557524 83.972664
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29 3968.0 86.175099 ... 82.840416 84.096442
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30 4096.0 92.755862 ... 89.717734 89.538177
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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> ( 2 minutes 12.082 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 13.454 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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@@ -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>03:36.265</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<p><strong>03:37.105</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<table class="docutils align-default">
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<colgroup>
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<col style="width: 85%" />
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@@ -183,15 +183,15 @@
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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>02:12.082</p></td>
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<td><p>02:13.454</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="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>01:13.141</p></td>
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<td><p>01:12.572</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="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>00:11.041</p></td>
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<td><p>00:11.078</p></td>
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<td><p>0.0 MB</p></td>
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</tr>
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</tbody>
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