[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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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 41.030 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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N Triton Torch (native) Torch (jit)
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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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**Total running time of the script:** ( 6 minutes 0.518 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -240,7 +240,7 @@ References
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 0 minutes 0.012 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
|
||||
|
||||
|
||||
@@ -339,7 +339,7 @@ Layer Normalization
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 2 minutes 0.332 seconds)
|
||||
**Total running time of the script:** ( 2 minutes 2.154 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
||||
|
@@ -5,16 +5,16 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**12:48.152** total execution time for **getting-started_tutorials** files:
|
||||
**13:19.517** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.518 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:27.164 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:08.135 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:08.844 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:00.332 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:02.154 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:39.155 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:41.030 | 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 |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.325 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -325,22 +325,22 @@ for different problem sizes.</p>
|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
13 33554432.0 842.004273 842.004273
|
||||
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 39.155 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 41.030 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 190.511628
|
||||
1 384.0 438.857137 558.545450 151.703707
|
||||
0 256.0 512.000001 512.000001 190.511628
|
||||
1 384.0 438.857137 585.142862 151.703707
|
||||
2 512.0 481.882344 606.814814 154.566038
|
||||
3 640.0 465.454542 640.000002 158.759699
|
||||
4 768.0 463.698115 664.216187 163.839992
|
||||
4 768.0 463.698115 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 479.211815 405.333344 199.038365
|
||||
94 12288.0 484.853264 415.222812 199.197579
|
||||
95 12416.0 460.384708 412.149375 198.954424
|
||||
96 12544.0 457.705824 412.546756 199.012395
|
||||
97 12672.0 457.679461 411.679167 199.167004
|
||||
93 12160.0 478.622374 405.333344 198.834951
|
||||
94 12288.0 487.256521 415.661740 199.096718
|
||||
95 12416.0 459.851851 411.722274 198.755369
|
||||
96 12544.0 458.228323 412.971190 199.012395
|
||||
97 12672.0 457.679461 412.097543 199.069228
|
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|
||||
[98 rows x 4 columns]
|
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</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 8.135 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 8.844 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>
|
||||
|
@@ -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:
|
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M cuBLAS ... Triton Triton (+ LeakyReLU)
|
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|
||||
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|
||||
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||||
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||||
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|
||||
6 1024.0 49.932191 ... 53.773130 53.773130
|
||||
5 896.0 37.971025 ... 40.140799 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
7 1152.0 45.242181 ... 48.161033 47.396572
|
||||
8 1280.0 51.200001 ... 57.690139 57.690139
|
||||
9 1408.0 64.138541 ... 69.009825 68.147202
|
||||
9 1408.0 64.138541 ... 69.009825 67.305878
|
||||
10 1536.0 79.526831 ... 79.526831 79.526831
|
||||
11 1664.0 63.372618 ... 63.372618 62.929456
|
||||
11 1664.0 62.929456 ... 63.372618 62.929456
|
||||
12 1792.0 72.983276 ... 63.499573 63.142831
|
||||
13 1920.0 69.467336 ... 71.257735 71.257735
|
||||
14 2048.0 73.262953 ... 78.033565 77.672296
|
||||
15 2176.0 83.155572 ... 87.115360 86.739860
|
||||
16 2304.0 68.251065 ... 78.064941 77.558029
|
||||
17 2432.0 71.305746 ... 75.522751 75.320281
|
||||
18 2560.0 77.833728 ... 82.331658 82.125311
|
||||
19 2688.0 83.552988 ... 90.748936 90.316801
|
||||
20 2816.0 84.035084 ... 83.873477 84.035084
|
||||
21 2944.0 82.784108 ... 84.324925 84.040530
|
||||
22 3072.0 82.540970 ... 89.170242 89.030036
|
||||
23 3200.0 84.768213 ... 95.096582 95.380032
|
||||
24 3328.0 83.808259 ... 85.500351 86.424125
|
||||
25 3456.0 82.604067 ... 92.033756 91.719645
|
||||
26 3584.0 87.466332 ... 92.696281 96.372338
|
||||
27 3712.0 86.267139 ... 85.970176 88.248537
|
||||
28 3840.0 82.716526 ... 86.400002 91.322872
|
||||
29 3968.0 85.871877 ... 92.163097 87.472354
|
||||
30 4096.0 93.924229 ... 94.055868 87.097813
|
||||
13 1920.0 68.776119 ... 71.626943 71.257735
|
||||
14 2048.0 73.584279 ... 78.398206 78.033565
|
||||
15 2176.0 83.500614 ... 87.115360 86.739860
|
||||
16 2304.0 68.251065 ... 77.810656 77.558029
|
||||
17 2432.0 71.125224 ... 75.726318 75.522751
|
||||
18 2560.0 77.833728 ... 82.331658 81.920002
|
||||
19 2688.0 83.737433 ... 90.532356 90.316801
|
||||
20 2816.0 82.290955 ... 83.712490 84.197315
|
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21 2944.0 82.646820 ... 81.967162 83.477440
|
||||
22 3072.0 82.062468 ... 85.662786 89.030036
|
||||
23 3200.0 84.210524 ... 97.116842 95.952022
|
||||
24 3328.0 83.905938 ... 86.946008 86.736504
|
||||
25 3456.0 79.196043 ... 86.689860 91.407671
|
||||
26 3584.0 87.211821 ... 94.947616 97.840469
|
||||
27 3712.0 85.896254 ... 83.005689 88.404730
|
||||
28 3840.0 81.738356 ... 88.297007 91.473945
|
||||
29 3968.0 88.040360 ... 92.093539 84.797731
|
||||
30 4096.0 93.336389 ... 91.491294 88.185107
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[31 rows x 5 columns]
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 0.518 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 27.164 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>
|
||||
|
@@ -372,7 +372,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
|
||||
<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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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.012 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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11 6656.0 112.733948 256.000009 285.767438
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14 8192.0 115.856217 266.767970 284.526763
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12 7168.0 114.917836 253.360829 277.470965
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|
||||
14 8192.0 115.583772 258.694729 277.303250
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||||
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||||
18 10240.0 100.024417 287.102804 290.153487
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19 10752.0 100.997264 246.699797 289.941565
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24 13312.0 107.138837 252.959629 289.391298
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||||
25 13824.0 107.370873 256.991469 292.056329
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||||
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||||
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|
||||
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|
||||
<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>
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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 0.332 seconds)</p>
|
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 2.154 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-05-layer-norm-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/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>12:48.152</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<p><strong>13:19.517</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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<col style="width: 85%" />
|
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@@ -183,23 +183,23 @@
|
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</colgroup>
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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>06:00.518</p></td>
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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>03:08.135</p></td>
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|
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<td><p>02:00.332</p></td>
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<td><p>0.0 MB</p></td>
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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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