[GH-PAGES] Updated website
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@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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**Total running time of the script:** ( 1 minutes 41.611 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -306,7 +306,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -498,7 +498,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
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.. rst-class:: sphx-glr-timing
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||||
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**Total running time of the script:** ( 5 minutes 49.071 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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||||
@@ -339,7 +339,7 @@ Layer Normalization
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 2 minutes 11.654 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 14.046 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
||||
|
@@ -5,16 +5,16 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**13:02.987** total execution time for **getting-started_tutorials** files:
|
||||
**13:35.769** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:49.071 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:14.105 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.121 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.996 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.654 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:14.046 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.129 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.611 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.012 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -324,8 +324,8 @@ for different problem sizes.</p>
|
||||
size Triton Torch
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||||
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1 8192.0 19.200000 19.200000
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@@ -340,7 +340,7 @@ for different problem sizes.</p>
|
||||
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 40.129 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 41.611 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>
|
||||
|
@@ -369,17 +369,17 @@ 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 186.181817
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 585.142862 558.545450 151.703707
|
||||
2 512.0 655.360017 585.142849 154.566038
|
||||
2 512.0 655.360017 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 158.759699
|
||||
4 768.0 722.823517 646.736871 163.839992
|
||||
4 768.0 722.823517 664.216187 163.839992
|
||||
.. ... ... ... ...
|
||||
93 12160.0 814.058574 405.755985 199.038365
|
||||
94 12288.0 814.111783 415.661740 199.197579
|
||||
95 12416.0 814.163950 412.149375 198.954424
|
||||
96 12544.0 814.214963 412.546756 199.012395
|
||||
97 12672.0 814.265046 411.679167 199.167004
|
||||
93 12160.0 814.058574 405.755985 198.733401
|
||||
94 12288.0 814.111783 415.661740 198.895304
|
||||
95 12416.0 814.163950 411.722274 198.556711
|
||||
96 12544.0 814.214963 412.971190 198.716830
|
||||
97 12672.0 814.265046 411.679167 198.873965
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -392,7 +392,7 @@ 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 22.121 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 25.996 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>
|
||||
|
@@ -564,42 +564,42 @@ 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 2.978909 ... 3.276800 3.276800
|
||||
1 384.0 7.372800 ... 7.899428 8.507077
|
||||
2 512.0 14.563555 ... 15.420235 15.420235
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 31.597714 ... 35.389441 34.028308
|
||||
5 896.0 37.971025 ... 40.140799 40.140799
|
||||
4 768.0 32.768000 ... 35.389441 34.028308
|
||||
5 896.0 37.971025 ... 41.321411 40.140799
|
||||
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|
||||
7 1152.0 45.242181 ... 48.161033 47.396572
|
||||
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|
||||
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|
||||
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|
||||
11 1664.0 62.929456 ... 63.372618 62.929456
|
||||
10 1536.0 79.526831 ... 79.526831 80.430545
|
||||
11 1664.0 62.929456 ... 63.372618 63.372618
|
||||
12 1792.0 72.983276 ... 63.499573 63.142831
|
||||
13 1920.0 69.120002 ... 71.626943 71.257735
|
||||
14 2048.0 73.584279 ... 78.033565 77.672296
|
||||
15 2176.0 83.155572 ... 87.115360 86.739860
|
||||
16 2304.0 68.251065 ... 77.810656 77.558029
|
||||
17 2432.0 71.305746 ... 75.320281 75.320281
|
||||
18 2560.0 77.833728 ... 82.539044 82.125311
|
||||
19 2688.0 83.922689 ... 90.966561 90.532356
|
||||
20 2816.0 83.233226 ... 84.035084 83.552120
|
||||
21 2944.0 82.102191 ... 83.337844 84.182483
|
||||
22 3072.0 81.005868 ... 90.020831 89.451983
|
||||
23 3200.0 84.880639 ... 96.385543 95.238096
|
||||
24 3328.0 83.905938 ... 84.995628 85.297742
|
||||
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|
||||
26 3584.0 86.540320 ... 99.244365 99.684470
|
||||
27 3712.0 82.287760 ... 85.163978 86.942857
|
||||
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|
||||
29 3968.0 87.097744 ... 92.163097 84.504108
|
||||
30 4096.0 93.271527 ... 93.077479 87.324485
|
||||
13 1920.0 68.776119 ... 71.257735 70.892307
|
||||
14 2048.0 73.262953 ... 78.033565 77.672296
|
||||
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|
||||
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|
||||
17 2432.0 71.305746 ... 75.522751 75.320281
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
22 3072.0 81.707223 ... 88.890270 89.877939
|
||||
23 3200.0 84.656085 ... 96.385543 96.240602
|
||||
24 3328.0 83.226931 ... 84.995628 84.795401
|
||||
25 3456.0 82.773682 ... 92.033756 89.779026
|
||||
26 3584.0 86.540320 ... 95.148565 96.372338
|
||||
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|
||||
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|
||||
29 3968.0 87.913500 ... 91.575185 84.915752
|
||||
30 4096.0 92.500158 ... 88.011627 88.011627
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 49.071 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 14.105 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
|
||||
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|
||||
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|
||||
2 2048.0 491.520012 160.627450 334.367350
|
||||
3 2560.0 461.954908 180.705883 330.322572
|
||||
4 3072.0 515.580429 191.999993 323.368415
|
||||
5 3584.0 558.545477 207.768111 310.527060
|
||||
6 4096.0 564.965515 220.907859 297.890900
|
||||
7 4608.0 502.690905 232.825259 287.251954
|
||||
8 5120.0 525.128191 242.366855 285.104413
|
||||
0 1024.0 361.411758 97.912354 303.407414
|
||||
1 1536.0 409.599994 134.540150 341.333333
|
||||
2 2048.0 496.484863 161.154101 334.367350
|
||||
3 2560.0 461.954908 181.238943 330.322572
|
||||
4 3072.0 519.211251 192.501302 323.368415
|
||||
5 3584.0 558.545477 208.271186 311.652167
|
||||
6 4096.0 564.965515 220.907859 296.990947
|
||||
7 4608.0 500.416301 232.336141 287.251954
|
||||
8 5120.0 527.381977 242.366855 284.444444
|
||||
9 5632.0 540.671974 243.107920 289.438969
|
||||
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|
||||
11 6656.0 525.473708 256.000009 285.767438
|
||||
12 7168.0 503.017523 259.867079 284.821192
|
||||
10 6144.0 546.133354 248.661056 286.879370
|
||||
11 6656.0 527.207907 256.000009 285.257135
|
||||
12 7168.0 503.017523 260.260201 284.821192
|
||||
13 7680.0 483.779539 262.938666 280.121579
|
||||
14 8192.0 463.698115 266.406514 284.115618
|
||||
15 8704.0 414.476194 267.472468 284.987724
|
||||
16 9216.0 426.996150 271.391419 287.999990
|
||||
17 9728.0 437.213490 280.615388 289.667485
|
||||
18 10240.0 446.836366 286.100109 289.811322
|
||||
19 10752.0 429.364408 246.699797 290.267711
|
||||
20 11264.0 427.071098 245.313973 286.980888
|
||||
21 11776.0 420.571432 249.667843 288.981596
|
||||
14 8192.0 463.698115 266.406514 284.526763
|
||||
15 8704.0 414.476194 267.815384 284.987724
|
||||
16 9216.0 426.996150 271.724806 287.999990
|
||||
17 9728.0 437.213490 280.615388 290.027323
|
||||
18 10240.0 446.025405 286.433562 290.153487
|
||||
19 10752.0 429.364408 246.935876 290.267711
|
||||
20 11264.0 426.397479 245.536784 286.980888
|
||||
21 11776.0 420.571432 249.667843 289.277383
|
||||
22 12288.0 416.542386 254.673582 294.617366
|
||||
23 12800.0 411.244989 253.884294 289.811310
|
||||
24 13312.0 409.599999 252.959629 290.443638
|
||||
25 13824.0 405.098897 257.290415 292.056329
|
||||
26 14336.0 395.021816 255.051144 286.719986
|
||||
27 14848.0 386.080180 257.852379 289.246765
|
||||
28 15360.0 380.041240 257.790220 286.879376
|
||||
29 15872.0 370.913333 261.626369 289.679087
|
||||
23 12800.0 410.695192 253.884294 287.910035
|
||||
24 13312.0 409.075539 252.959629 290.443638
|
||||
25 13824.0 405.098897 257.390218 291.799461
|
||||
26 14336.0 394.568805 254.862216 287.198654
|
||||
27 14848.0 386.498925 257.852379 289.717061
|
||||
28 15360.0 380.433442 257.790220 288.000007
|
||||
29 15872.0 370.552519 261.806182 290.120338
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -487,7 +487,7 @@ 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 11.654 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 14.046 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>13:02.987</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>13:35.769</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>05:49.071</p></td>
|
||||
<td><p>06:14.105</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>03:22.121</p></td>
|
||||
<td><p>03:25.996</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>02:11.654</p></td>
|
||||
<td><p>02:14.046</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>01:40.129</p></td>
|
||||
<td><p>01:41.611</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>
|
||||
|
@@ -1,4 +1,4 @@
|
||||
# Sphinx build info version 1
|
||||
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
|
||||
config: 5623c148227773c731120282f1b6ffa0
|
||||
config: fe802dbc93077fe9737f3cd8c694a8e5
|
||||
tags: 645f666f9bcd5a90fca523b33c5a78b7
|
||||
|