[GH-PAGES] Updated website
This commit is contained in:
@@ -334,12 +334,12 @@ for different problem sizes.</p>
|
||||
10 4194304.0 780.190482 780.190482
|
||||
11 8388608.0 812.429770 812.429770
|
||||
12 16777216.0 833.084721 833.084721
|
||||
13 33554432.0 842.004273 842.906750
|
||||
13 33554432.0 842.004273 843.811163
|
||||
14 67108864.0 847.448255 848.362445
|
||||
15 134217728.0 849.737435 850.656574
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 46.556 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 44.156 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<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>
|
||||
|
@@ -374,17 +374,17 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
|
||||
N Triton Torch (native) Torch (jit)
|
||||
0 256.0 512.000001 546.133347 190.511628
|
||||
1 384.0 585.142862 585.142862 153.600004
|
||||
0 256.0 512.000001 546.133347 186.181817
|
||||
1 384.0 614.400016 585.142862 151.703707
|
||||
2 512.0 655.360017 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 722.823517 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 198.936606
|
||||
94 12288.0 814.111783 415.222812 199.298541
|
||||
95 12416.0 812.498981 411.722274 198.854847
|
||||
96 12544.0 812.566838 413.396498 199.111113
|
||||
97 12672.0 812.633240 412.097543 199.264875
|
||||
93 12160.0 814.058574 406.179533 198.733401
|
||||
94 12288.0 814.111783 416.101597 198.995960
|
||||
95 12416.0 812.498981 412.149375 198.705656
|
||||
96 12544.0 812.566838 412.971190 198.913776
|
||||
97 12672.0 812.633240 412.097543 199.069228
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -397,7 +397,7 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
|
||||
</ul>
|
||||
</div></blockquote>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.713 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 20.891 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<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>
|
||||
|
@@ -568,42 +568,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.730667 ... 3.276800 2.978909
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
2 512.0 14.563555 ... 16.384000 15.420235
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 40.140799 39.025776
|
||||
6 1024.0 51.150050 ... 53.773130 52.428801
|
||||
7 1152.0 45.242181 ... 46.656000 46.656000
|
||||
5 896.0 39.025776 ... 39.025776 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
7 1152.0 45.242181 ... 47.396572 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.888887
|
||||
9 1408.0 64.138541 ... 67.305878 67.305878
|
||||
10 1536.0 80.430545 ... 79.526831 79.526831
|
||||
11 1664.0 63.372618 ... 62.492442 62.061463
|
||||
12 1792.0 72.983276 ... 72.512412 72.047592
|
||||
13 1920.0 69.120002 ... 70.530615 70.530615
|
||||
14 2048.0 73.908442 ... 76.959706 76.959706
|
||||
15 2176.0 83.500614 ... 85.632545 85.632545
|
||||
16 2304.0 68.446623 ... 76.563695 76.563695
|
||||
17 2432.0 71.305746 ... 74.918570 84.877538
|
||||
18 2560.0 77.833728 ... 81.108913 81.108913
|
||||
19 2688.0 83.552988 ... 89.254248 89.464755
|
||||
20 2816.0 79.587973 ... 82.916747 82.916747
|
||||
21 2944.0 81.832567 ... 82.509987 82.509987
|
||||
22 3072.0 82.062468 ... 87.651868 88.197981
|
||||
23 3200.0 81.424937 ... 93.704243 92.352095
|
||||
24 3328.0 84.003845 ... 84.895397 84.298943
|
||||
25 3456.0 81.230800 ... 90.790053 87.489490
|
||||
26 3584.0 85.633710 ... 96.166193 96.683219
|
||||
27 3712.0 82.423549 ... 87.094458 87.706180
|
||||
28 3840.0 83.402717 ... 91.134731 87.011801
|
||||
29 3968.0 91.301109 ... 86.144680 89.394823
|
||||
30 4096.0 86.592080 ... 93.206754 86.313653
|
||||
12 1792.0 72.983276 ... 71.588687 71.588687
|
||||
13 1920.0 68.776119 ... 70.530615 70.530615
|
||||
14 2048.0 73.908442 ... 77.314362 76.959706
|
||||
15 2176.0 83.500614 ... 85.998493 85.269692
|
||||
16 2304.0 68.251065 ... 76.809875 76.563695
|
||||
17 2432.0 71.305746 ... 74.719317 84.877538
|
||||
18 2560.0 78.019048 ... 81.310171 81.108913
|
||||
19 2688.0 83.552988 ... 89.995386 89.464755
|
||||
20 2816.0 79.587973 ... 82.916747 82.602666
|
||||
21 2944.0 82.102191 ... 82.646820 83.060049
|
||||
22 3072.0 81.707223 ... 87.516392 88.060814
|
||||
23 3200.0 80.402009 ... 87.551302 87.189747
|
||||
24 3328.0 80.798314 ... 83.905938 84.596116
|
||||
25 3456.0 82.688790 ... 91.252485 90.994998
|
||||
26 3584.0 86.540320 ... 91.563533 95.350361
|
||||
27 3712.0 82.491612 ... 86.867254 86.791782
|
||||
28 3840.0 82.592983 ... 92.390975 86.400002
|
||||
29 3968.0 93.254827 ... 85.093402 91.130650
|
||||
30 4096.0 86.202781 ... 87.982773 89.210850
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 23.466 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 26.818 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>
|
||||
|
@@ -194,36 +194,36 @@ to download the full example code</p>
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm-backward:
|
||||
N Triton Torch Apex
|
||||
0 1024.0 311.088617 99.497980 315.076934
|
||||
1 1536.0 354.461542 134.050910 338.201833
|
||||
2 2048.0 423.724127 159.067963 321.254900
|
||||
3 2560.0 465.454542 181.238943 326.808501
|
||||
4 3072.0 515.580429 191.501303 315.076914
|
||||
5 3584.0 551.384634 207.267476 307.199992
|
||||
6 4096.0 568.231237 218.939860 299.707322
|
||||
7 4608.0 500.416301 233.316456 290.267724
|
||||
8 5120.0 529.655159 240.469672 285.104413
|
||||
9 5632.0 542.843364 244.426754 290.683877
|
||||
10 6144.0 546.133354 250.349744 286.322318
|
||||
11 6656.0 532.479975 255.590406 286.793541
|
||||
12 7168.0 513.528374 256.764187 281.558103
|
||||
13 7680.0 486.332448 264.068761 283.133636
|
||||
14 8192.0 464.794337 262.143998 282.077471
|
||||
15 8704.0 416.958106 267.472468 285.767450
|
||||
16 9216.0 430.319054 272.729961 289.129410
|
||||
17 9728.0 438.857162 280.278512 289.667485
|
||||
18 10240.0 447.650282 287.102804 290.840246
|
||||
19 10752.0 432.241202 246.935876 290.267711
|
||||
20 11264.0 427.071098 245.983625 288.204696
|
||||
21 11776.0 422.457417 249.227509 288.981596
|
||||
22 12288.0 419.504980 254.453844 295.207195
|
||||
23 12800.0 413.458944 253.674644 290.359162
|
||||
24 13312.0 411.181478 252.959629 290.443638
|
||||
25 13824.0 404.604870 257.190689 292.056329
|
||||
26 14336.0 397.302533 254.485198 288.402346
|
||||
27 14848.0 381.942121 257.108233 289.246765
|
||||
28 15360.0 374.253788 258.151252 287.775181
|
||||
29 15872.0 366.982663 262.527914 290.562936
|
||||
0 1024.0 311.088617 99.096776 307.200008
|
||||
1 1536.0 351.085717 133.083026 341.333333
|
||||
2 2048.0 423.724127 161.684218 338.979315
|
||||
3 2560.0 461.954908 182.857144 330.322572
|
||||
4 3072.0 511.999982 191.501303 316.429186
|
||||
5 3584.0 554.941930 208.271186 310.527060
|
||||
6 4096.0 568.231237 220.412561 296.990947
|
||||
7 4608.0 498.162157 231.849059 289.507855
|
||||
8 5120.0 525.128191 242.845844 286.433562
|
||||
9 5632.0 538.517949 243.107920 290.683877
|
||||
10 6144.0 544.118087 248.451567 286.322318
|
||||
11 6656.0 527.207907 256.000009 286.536325
|
||||
12 7168.0 507.469040 262.243907 288.160801
|
||||
13 7680.0 482.513091 260.338991 276.756754
|
||||
14 8192.0 460.440290 268.957600 286.600589
|
||||
15 8704.0 416.958106 267.472468 284.987724
|
||||
16 9216.0 428.651187 272.729961 289.507855
|
||||
17 9728.0 438.857162 280.278512 288.950501
|
||||
18 10240.0 447.650282 286.433562 288.112552
|
||||
19 10752.0 430.079980 246.464170 290.267711
|
||||
20 11264.0 429.104745 245.091565 285.767446
|
||||
21 11776.0 421.198220 249.447482 288.686414
|
||||
22 12288.0 420.102570 254.453844 294.911986
|
||||
23 12800.0 415.696898 253.465340 289.811310
|
||||
24 13312.0 412.242569 252.559690 290.179836
|
||||
25 13824.0 404.604870 257.190689 292.571423
|
||||
26 14336.0 397.761846 254.862216 286.481278
|
||||
27 14848.0 384.414233 257.293872 289.012175
|
||||
28 15360.0 374.253788 257.610071 288.000007
|
||||
29 15872.0 367.336555 262.708969 291.229369
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -477,7 +477,7 @@ to download the full example code</p>
|
||||
<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>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.996 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 7.366 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">
|
||||
<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>
|
||||
|
@@ -174,7 +174,7 @@
|
||||
|
||||
<div class="section" id="computation-times">
|
||||
<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>12:45.742</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:39.242</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,19 +183,19 @@
|
||||
</colgroup>
|
||||
<tbody>
|
||||
<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>
|
||||
<td><p>05:23.466</p></td>
|
||||
<td><p>05:26.818</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>
|
||||
<td><p>03:23.713</p></td>
|
||||
<td><p>03:20.891</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>
|
||||
<td><p>02:11.996</p></td>
|
||||
<td><p>02:07.366</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>
|
||||
<td><p>01:46.556</p></td>
|
||||
<td><p>01:44.156</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<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>
|
||||
|
Reference in New Issue
Block a user