[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 47.631 seconds)
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**Total running time of the script:** ( 1 minutes 47.538 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -284,11 +284,11 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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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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@@ -460,7 +460,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
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matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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[31 rows x 5 columns]
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@@ -499,7 +499,7 @@ 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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.. _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 0.500 seconds)
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.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
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@@ -38,25 +38,25 @@ Layer Normalization
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layer-norm:
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N Triton Torch Apex
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@@ -67,7 +67,7 @@ Layer Normalization
|
||||
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||||
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|
||||
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||||
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||||
@@ -389,7 +389,7 @@ Layer Normalization
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 5 minutes 10.415 seconds)
|
||||
**Total running time of the script:** ( 5 minutes 26.669 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
||||
|
@@ -5,16 +5,16 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**16:30.525** total execution time for **getting-started_tutorials** files:
|
||||
**16:49.647** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.317 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:12.160 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:10.415 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:26.669 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.662 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.808 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.631 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.538 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.500 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.472 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -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 47.631 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 47.538 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>
|
||||
|
@@ -375,11 +375,11 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
3 640.0 706.206879 640.000002 160.000000
|
||||
4 768.0 722.823517 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 199.038365
|
||||
94 12288.0 812.429770 415.661740 199.298541
|
||||
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|
||||
96 12544.0 812.566838 412.971190 199.160520
|
||||
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|
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|
||||
97 12672.0 812.633240 412.097543 198.776477
|
||||
|
||||
[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 25.662 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.808 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>
|
||||
|
@@ -566,7 +566,7 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
<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 3.276800
|
||||
1 384.0 7.372800 ... 7.899428 8.507077
|
||||
1 384.0 7.372800 ... 7.899428 7.899428
|
||||
2 512.0 14.563555 ... 15.420235 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
@@ -575,32 +575,32 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
7 1152.0 45.242181 ... 48.161033 47.396572
|
||||
8 1280.0 51.200001 ... 57.690139 57.690139
|
||||
9 1408.0 64.138541 ... 68.147202 66.485074
|
||||
10 1536.0 80.430545 ... 81.355034 78.643199
|
||||
11 1664.0 63.372618 ... 63.372618 62.492442
|
||||
10 1536.0 79.526831 ... 81.355034 79.526831
|
||||
11 1664.0 62.929456 ... 63.372618 62.492442
|
||||
12 1792.0 72.983276 ... 73.460287 59.467852
|
||||
13 1920.0 68.776119 ... 71.257735 70.892307
|
||||
13 1920.0 69.120002 ... 71.257735 70.892307
|
||||
14 2048.0 73.262953 ... 78.033565 76.959706
|
||||
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|
||||
16 2304.0 68.251065 ... 78.064941 77.307030
|
||||
17 2432.0 71.487187 ... 86.711310 74.918570
|
||||
18 2560.0 77.833728 ... 82.331658 81.512437
|
||||
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|
||||
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|
||||
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|
||||
22 3072.0 82.062468 ... 89.735509 88.473602
|
||||
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|
||||
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|
||||
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|
||||
26 3584.0 87.296493 ... 98.375705 97.840469
|
||||
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|
||||
28 3840.0 85.070769 ... 93.484358 88.191387
|
||||
29 3968.0 91.816356 ... 88.167587 91.472214
|
||||
30 4096.0 88.475759 ... 89.777746 88.359266
|
||||
15 2176.0 83.155572 ... 87.876193 86.367588
|
||||
16 2304.0 68.446623 ... 78.064941 77.057651
|
||||
17 2432.0 71.305746 ... 86.711310 75.118889
|
||||
18 2560.0 77.833728 ... 82.956960 81.310171
|
||||
19 2688.0 83.922689 ... 90.316801 89.254248
|
||||
20 2816.0 83.712490 ... 84.360174 83.392363
|
||||
21 2944.0 81.698415 ... 83.477440 82.509987
|
||||
22 3072.0 82.420822 ... 90.020831 89.030036
|
||||
23 3200.0 84.768213 ... 97.859331 95.380032
|
||||
24 3328.0 83.034941 ... 86.011103 83.613586
|
||||
25 3456.0 80.945348 ... 87.158452 81.105671
|
||||
26 3584.0 87.211821 ... 99.354022 91.844118
|
||||
27 3712.0 84.159518 ... 88.955779 88.483034
|
||||
28 3840.0 84.292684 ... 93.484358 84.483849
|
||||
29 3968.0 92.688139 ... 85.093402 91.472214
|
||||
30 4096.0 86.620022 ... 88.621807 91.366730
|
||||
|
||||
[31 rows x 5 columns]
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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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<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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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 10.415 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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<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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<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>16:49.647</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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@@ -183,23 +183,23 @@
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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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