[GH-PAGES] Updated website
This commit is contained in:
@@ -324,22 +324,22 @@ 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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</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 44.802 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 39.973 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 512.000001 186.181817
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0 256.0 512.000001 546.133347 190.511628
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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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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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.. ... ... ... ...
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93 12160.0 814.058574 406.179533 198.834951
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94 12288.0 814.111783 416.101597 199.197579
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93 12160.0 814.058574 406.179533 198.936606
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94 12288.0 814.111783 415.661740 199.197579
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95 12416.0 812.498981 412.149375 198.755369
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96 12544.0 812.566838 412.971190 199.012395
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97 12672.0 812.633240 412.097543 199.069228
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96 12544.0 812.566838 412.971190 199.111113
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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 21.669 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.191 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 2.730667 ... 2.978909 2.978909
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0 256.0 2.978909 ... 3.276800 3.276800
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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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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 ... 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 56.109587
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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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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 78.643199
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11 1664.0 63.372618 ... 62.492442 62.061463
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12 1792.0 72.983276 ... 72.047592 71.588687
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13 1920.0 68.776119 ... 70.172588 70.172588
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14 2048.0 73.584279 ... 76.959706 76.608294
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15 2176.0 83.155572 ... 86.367588 85.269692
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16 2304.0 68.056616 ... 76.809875 76.563695
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17 2432.0 71.125224 ... 83.864074 84.877538
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18 2560.0 77.833728 ... 81.108913 80.908642
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19 2688.0 83.552988 ... 89.888756 89.464755
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20 2816.0 83.712490 ... 83.074685 82.446516
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21 2944.0 81.967162 ... 82.237674 82.237674
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22 3072.0 82.540970 ... 89.030036 89.451983
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23 3200.0 84.432717 ... 96.240602 95.665176
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24 3328.0 82.939284 ... 83.130825 84.795401
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25 3456.0 81.932484 ... 91.615417 91.200871
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26 3584.0 83.954614 ... 95.858629 98.483450
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27 3712.0 82.491612 ... 87.937800 88.170647
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28 3840.0 85.070769 ... 86.875096 91.473945
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29 3968.0 87.066671 ... 91.472214 87.723894
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30 4096.0 93.924229 ... 92.436452 89.299883
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11 1664.0 62.929456 ... 62.061463 62.061463
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12 1792.0 72.512412 ... 62.441243 62.441243
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13 1920.0 69.120002 ... 70.530615 70.530615
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14 2048.0 73.908442 ... 77.314362 76.959706
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15 2176.0 83.155572 ... 86.367588 85.632545
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16 2304.0 68.251065 ... 76.809875 76.563695
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17 2432.0 71.305746 ... 74.918570 84.877538
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18 2560.0 78.019048 ... 81.512437 80.511054
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19 2688.0 83.737433 ... 90.316801 88.422041
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20 2816.0 79.443003 ... 82.916747 83.392363
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21 2944.0 82.237674 ... 82.373605 83.060049
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22 3072.0 82.661468 ... 87.924073 87.584078
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23 3200.0 84.432717 ... 95.238096 94.955488
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24 3328.0 82.843841 ... 85.196803 85.602017
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25 3456.0 78.502012 ... 85.133652 89.779026
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26 3584.0 87.211821 ... 90.364394 97.522120
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27 3712.0 86.192706 ... 86.754095 87.246590
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28 3840.0 83.245767 ... 92.236860 84.036474
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29 3968.0 92.512459 ... 83.866153 90.859224
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30 4096.0 87.438257 ... 84.679957 90.169784
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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 20.621 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 52.358 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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|
@@ -371,7 +371,7 @@ 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 0.011 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.187 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">
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<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 99.096776 307.200008
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0 1024.0 311.088617 99.497980 311.088617
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1 1536.0 351.085717 133.083026 341.333333
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2 2048.0 420.102553 161.684218 338.979315
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3 2560.0 461.954908 182.857144 328.556154
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4 3072.0 511.999982 191.501303 315.076914
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5 3584.0 551.384634 208.271186 310.527060
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6 4096.0 568.231237 220.412561 296.990947
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7 4608.0 498.162157 231.849059 289.507855
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8 5120.0 525.128191 242.845844 286.433562
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9 5632.0 536.380957 243.545956 290.683877
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10 6144.0 542.117638 248.661056 286.322318
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2 2048.0 423.724127 162.217818 336.657521
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3 2560.0 461.954908 182.857144 330.322572
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4 3072.0 515.580429 191.501303 320.556515
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5 3584.0 554.941930 208.271186 309.410081
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6 4096.0 568.231237 220.412561 297.890900
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7 4608.0 498.162157 231.849059 287.251954
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8 5120.0 525.128191 242.845844 283.787523
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9 5632.0 538.517949 243.545956 290.683877
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10 6144.0 544.118087 248.661056 285.767458
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11 6656.0 527.207907 256.000009 286.793541
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12 7168.0 507.469040 261.844750 288.160801
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13 7680.0 481.253256 260.338991 276.756754
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14 8192.0 459.364487 269.326017 286.600589
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15 8704.0 416.958106 267.472468 284.599455
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12 7168.0 507.469040 261.844750 288.644296
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13 7680.0 482.513091 260.707203 277.590365
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14 8192.0 460.440290 269.326017 286.600589
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15 8704.0 416.958106 268.159180 285.182257
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16 9216.0 428.651187 273.066667 289.507855
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17 9728.0 438.857162 280.278512 288.950501
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18 10240.0 446.836366 286.433562 288.112552
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19 10752.0 428.651173 246.464170 290.267711
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20 11264.0 429.104745 245.313973 285.767446
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||||
21 11776.0 421.826879 249.227509 288.686414
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22 12288.0 420.102570 254.673582 294.911986
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||||
23 12800.0 415.135142 253.465340 289.811310
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17 9728.0 438.857162 280.615388 288.950501
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18 10240.0 447.650282 286.767793 290.840246
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19 10752.0 430.079980 246.699797 290.267711
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20 11264.0 429.104745 245.091565 286.069848
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21 11776.0 421.826879 249.667843 288.686414
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22 12288.0 420.102570 254.673582 295.207195
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23 12800.0 415.696898 253.674644 288.721817
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24 13312.0 412.242569 252.559690 290.179836
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25 13824.0 405.098897 257.190689 292.571423
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26 14336.0 398.222222 254.673567 286.242939
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27 14848.0 383.999990 257.108233 289.012175
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28 15360.0 374.634130 257.610071 288.000007
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29 15872.0 366.982663 262.890274 291.229369
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25 13824.0 405.098897 257.390218 292.571423
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26 14336.0 397.761846 254.673567 286.481278
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27 14848.0 384.414233 257.293872 289.246765
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28 15360.0 374.253788 257.790220 287.775181
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29 15872.0 367.336555 262.890274 291.229369
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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 9.590 seconds)</p>
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||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.823 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>12:36.693</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>13:07.532</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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@@ -183,23 +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>05:20.621</p></td>
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<td><p>05:52.358</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>03:21.669</p></td>
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<td><p>03:23.191</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>02:09.590</p></td>
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<td><p>02:11.823</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>01:44.802</p></td>
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<td><p>01:39.973</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>00:00.011</p></td>
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<td><p>00:00.187</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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|
Reference in New Issue
Block a user