[GH-PAGES] Updated website
This commit is contained in:
@@ -328,19 +328,19 @@ for different problem sizes.</p>
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3 32768.0 76.800002 76.800002
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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 43.473 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 40.155 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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0 256.0 512.000001 546.133347 186.181817
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1 384.0 614.400016 585.142862 153.600004
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2 512.0 655.360017 606.814814 154.566038
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3 640.0 706.206879 640.000002 160.000000
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4 768.0 722.823517 664.216187 162.754967
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.. ... ... ... ...
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93 12160.0 815.765209 406.179533 198.936606
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94 12288.0 814.111783 415.661740 199.197579
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93 12160.0 814.058574 406.179533 198.936606
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94 12288.0 814.111783 415.222812 199.197579
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95 12416.0 814.163950 412.149375 198.755369
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96 12544.0 814.214963 412.971190 199.012395
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97 12672.0 814.265046 412.097543 198.971549
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96 12544.0 814.214963 412.546756 199.012395
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97 12672.0 814.265046 411.679167 199.069228
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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 21.420 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 20.786 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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@@ -564,42 +564,42 @@ 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 2.730667 ... 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 15.420235
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0 256.0 2.730667 ... 3.276800 2.978909
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1 384.0 7.372800 ... 8.507077 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 39.025776 ... 40.140799 39.025776
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5 896.0 39.025776 ... 39.025776 39.025776
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6 1024.0 49.932191 ... 52.428801 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 56.888887
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9 1408.0 64.138541 ... 67.305878 66.485074
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10 1536.0 80.430545 ... 79.526831 79.526831
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11 1664.0 62.929456 ... 62.061463 62.061463
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12 1792.0 72.512412 ... 72.047592 72.047592
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13 1920.0 69.467336 ... 70.172588 70.172588
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10 1536.0 79.526831 ... 79.526831 79.526831
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11 1664.0 62.929456 ... 62.492442 62.061463
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12 1792.0 72.983276 ... 72.047592 72.047592
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13 1920.0 68.776119 ... 70.172588 70.172588
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14 2048.0 73.262953 ... 76.608294 76.260072
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15 2176.0 83.155572 ... 85.998493 85.269692
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16 2304.0 68.251065 ... 76.319081 76.809875
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17 2432.0 71.487187 ... 74.521127 84.877538
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18 2560.0 78.019048 ... 81.310171 81.108913
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19 2688.0 83.369354 ... 89.254248 89.676257
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20 2816.0 83.392363 ... 82.135981 83.392363
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21 2944.0 81.967162 ... 81.967162 81.698415
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22 3072.0 80.659693 ... 88.750943 88.750943
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23 3200.0 84.432717 ... 94.955488 95.096582
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24 3328.0 82.939284 ... 84.695641 81.254285
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25 3456.0 80.300370 ... 82.435141 88.497878
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26 3584.0 83.177979 ... 88.586589 94.947616
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27 3712.0 85.675250 ... 89.035062 87.170458
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28 3840.0 78.433173 ... 84.355978 91.511791
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29 3968.0 86.849777 ... 90.791620 84.040329
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30 4096.0 93.077479 ... 86.480498 83.365047
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15 2176.0 83.155572 ... 85.998493 85.632545
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16 2304.0 68.643310 ... 76.319081 75.834511
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17 2432.0 71.125224 ... 74.521127 84.621881
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18 2560.0 77.833728 ... 81.108913 81.108913
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19 2688.0 83.186525 ... 89.888756 89.464755
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20 2816.0 83.074685 ... 82.916747 81.293956
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21 2944.0 81.967162 ... 82.237674 81.298583
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22 3072.0 81.238312 ... 88.612060 88.890270
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23 3200.0 84.656085 ... 95.665176 94.674553
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24 3328.0 83.468170 ... 82.843841 84.695641
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25 3456.0 81.683457 ... 90.281712 90.994998
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26 3584.0 84.986191 ... 87.296493 95.047985
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27 3712.0 82.355598 ... 88.718781 83.040189
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28 3840.0 84.228485 ... 91.701494 85.465227
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29 3968.0 91.062642 ... 85.271796 89.394823
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30 4096.0 87.352901 ... 88.011627 87.154371
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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 1.040 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 55.972 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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|
@@ -372,7 +372,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
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<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
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</dd>
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</dl>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.482 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.480 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-04-low-memory-dropout-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/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.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">04-low-memory-dropout.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 1024.0 307.200008 98.303995 307.200008
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0 1024.0 307.200008 98.303995 303.407414
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1 1536.0 347.773587 134.540150 341.333333
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2 2048.0 420.102553 161.684218 325.509933
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3 2560.0 458.507457 181.775141 325.079368
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4 3072.0 511.999982 192.501302 320.556515
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5 3584.0 551.384634 208.271186 311.652167
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2 2048.0 420.102553 161.684218 323.368435
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3 2560.0 455.111129 181.775141 325.079368
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4 3072.0 511.999982 192.501302 319.168834
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5 3584.0 547.872604 208.271186 311.652167
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6 4096.0 568.231237 220.412561 299.707322
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7 4608.0 507.302750 232.825259 287.999990
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8 5120.0 529.655159 242.845844 287.775181
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9 5632.0 545.032265 243.545956 289.438969
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10 6144.0 548.163546 248.661056 286.879370
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7 4608.0 504.986315 232.825259 286.507772
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8 5120.0 527.381977 242.845844 284.444444
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9 5632.0 542.843364 243.545956 289.438969
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10 6144.0 546.133354 248.661056 286.322318
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11 6656.0 534.260858 256.000009 285.767438
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12 7168.0 507.469040 260.654538 286.242939
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13 7680.0 479.999983 262.564106 278.850215
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14 8192.0 462.607053 267.493874 284.939124
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15 8704.0 417.791980 267.815384 284.599455
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16 9216.0 431.157889 272.729961 289.129410
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17 9728.0 439.683593 280.278512 290.027323
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18 10240.0 450.109870 286.433562 290.153487
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19 10752.0 426.525614 247.172406 290.922209
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20 11264.0 427.071098 245.760001 286.676558
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21 11776.0 423.089806 249.888595 288.981596
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22 12288.0 419.504980 254.673582 294.323369
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23 12800.0 414.016170 253.674644 288.180121
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24 13312.0 411.181478 252.759501 289.916513
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25 13824.0 404.112047 257.190689 292.056329
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26 14336.0 393.215988 254.485198 286.719986
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27 14848.0 385.245405 257.665934 289.246765
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28 15360.0 373.874218 257.970599 286.211174
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29 15872.0 370.913333 261.806182 289.899545
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12 7168.0 507.469040 260.260201 285.767449
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13 7680.0 479.999983 262.564106 279.272719
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14 8192.0 462.607053 267.493874 284.526763
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15 8704.0 417.791980 267.815384 284.987724
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||||
16 9216.0 431.157889 272.059034 288.751954
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17 9728.0 438.857162 280.278512 290.027323
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18 10240.0 449.287041 286.767793 290.496460
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19 10752.0 426.525614 247.172406 290.594591
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20 11264.0 426.397479 245.536784 286.676558
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21 11776.0 423.089806 249.667843 288.981596
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22 12288.0 419.504980 254.673582 294.029924
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23 12800.0 414.016170 253.674644 289.538159
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24 13312.0 411.181478 252.559690 289.916513
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25 13824.0 404.604870 257.390218 292.056329
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26 14336.0 393.665895 254.297107 286.959121
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27 14848.0 385.245405 257.665934 289.481735
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28 15360.0 373.495460 257.970599 287.102804
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29 15872.0 371.637071 261.626369 289.899545
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||||
</pre></div>
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||||
</div>
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<div class="line-block">
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@@ -487,7 +487,7 @@ 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 12.002 seconds)</p>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.400 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>
|
||||
<p><strong>13:18.417</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>13:08.793</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
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||||
<colgroup>
|
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<col style="width: 85%" />
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@@ -183,23 +183,23 @@
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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>06:01.040</p></td>
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<td><p>05:55.972</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>03:21.420</p></td>
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<td><p>03:20.786</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>02:12.002</p></td>
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<td><p>02:11.400</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>01:43.473</p></td>
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<td><p>01:40.155</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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<td><p>00:00.482</p></td>
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<td><p>00:00.480</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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|
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Block a user