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Posted to commits@singa.apache.org by wa...@apache.org on 2019/04/21 13:56:45 UTC
svn commit: r1857911 [8/27] - in /incubator/singa/site/trunk: en/
en/_static/ en/_static/css/ en/_static/fonts/ en/_static/fonts/Lato/
en/_static/fonts/RobotoSlab/ en/_static/js/ en/community/ en/develop/
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Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/char-rnn/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/char-rnn/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/char-rnn/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/char-rnn/README.html Sun Apr 21 13:56:42 2019
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../" src="../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -185,19 +186,18 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<p>â></p>
-<div class="section" id="train-char-rnn-over-plain-text">
-<span id="train-char-rnn-over-plain-text"></span><h1>Train Char-RNN over plain text<a class="headerlink" href="#train-char-rnn-over-plain-text" title="Permalink to this headline">¶</a></h1>
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><div class="section" id="train-char-rnn-over-plain-text">
+<h1>Train Char-RNN over plain text<a class="headerlink" href="#train-char-rnn-over-plain-text" title="Permalink to this headline">¶</a></h1>
<p>Recurrent neural networks (RNN) are widely used for modelling sequential data,
e.g., natural language sentences. This example describes how to implement a RNN
application (or model) using SINGAâs RNN layers.
@@ -207,14 +207,12 @@ source code, with each character as an i
a RNN using GRU over Linux kernel source code. After training, we expect to
generate meaningful code from the model.</p>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<ul>
-<li><p class="first">Compile and install SINGA. Currently the RNN implementation depends on Cudnn with version >= 5.05.</p>
-</li>
-<li><p class="first">Prepare the dataset. Download the <a class="reference external" href="http://cs.stanford.edu/people/karpathy/char-rnn/">kernel source code</a>.
-Other plain text files can also be used.</p>
-</li>
-<li><p class="first">Start the training,</p>
+<li><p>Compile and install SINGA. Currently the RNN implementation depends on Cudnn with version >= 5.05.</p></li>
+<li><p>Prepare the dataset. Download the <a class="reference external" href="http://cs.stanford.edu/people/karpathy/char-rnn/">kernel source code</a>.
+Other plain text files can also be used.</p></li>
+<li><p>Start the training,</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">python</span> <span class="n">train</span><span class="o">.</span><span class="n">py</span> <span class="n">linux_input</span><span class="o">.</span><span class="n">txt</span>
</pre></div>
</div>
@@ -223,7 +221,7 @@ Other plain text files can also be used.
</pre></div>
</div>
</li>
-<li><p class="first">Sample characters from the model by providing the number of characters to sample and the seed string.</p>
+<li><p>Sample characters from the model by providing the number of characters to sample and the seed string.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">python</span> <span class="n">sample</span><span class="o">.</span><span class="n">py</span> <span class="s1">'model.bin'</span> <span class="mi">100</span> <span class="o">--</span><span class="n">seed</span> <span class="s1">'#include <std'</span>
</pre></div>
</div>
@@ -244,7 +242,7 @@ Other plain text files can also be used.
<div role="contentinfo">
<p>
- © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
</p>
</div>
@@ -261,36 +259,17 @@ Other plain text files can also be used.
-
-
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT:'../../../../',
- VERSION:'1.1.0',
- LANGUAGE:'None',
- COLLAPSE_INDEX:false,
- FILE_SUFFIX:'.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="../../../../_static/jquery.js"></script>
- <script type="text/javascript" src="../../../../_static/underscore.js"></script>
- <script type="text/javascript" src="../../../../_static/doctools.js"></script>
-
-
-
-
-
- <script type="text/javascript" src="../../../../_static/js/theme.js"></script>
-
-
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
+
+
+
+
+
<div class="rst-versions" data-toggle="rst-versions" role="note" aria-label="versions">
<span class="rst-current-version" data-toggle="rst-current-version">
<span class="fa fa-book"> incubator-singa </span>
Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/cifar10/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/cifar10/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/cifar10/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/cifar10/README.html Sun Apr 21 13:56:42 2019
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../" src="../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -185,39 +186,38 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<p>â></p>
-<div class="section" id="train-cnn-over-cifar-10">
-<span id="train-cnn-over-cifar-10"></span><h1>Train CNN over Cifar-10<a class="headerlink" href="#train-cnn-over-cifar-10" title="Permalink to this headline">¶</a></h1>
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><div class="section" id="train-cnn-over-cifar-10">
+<h1>Train CNN over Cifar-10<a class="headerlink" href="#train-cnn-over-cifar-10" title="Permalink to this headline">¶</a></h1>
<p>Convolution neural network (CNN) is a type of feed-forward artificial neural
network widely used for image and video classification. In this example, we
will train three deep CNN models to do image classification for the CIFAR-10 dataset,</p>
<ol class="simple">
-<li><a class="reference external" href="https://code.google.com/p/cuda-convnet/source/browse/trunk/example-layers/layers-18pct.cfg">AlexNet</a>
-the best validation accuracy (without data augmentation) we achieved was about 82%.</li>
-<li><a class="reference external" href="http://torch.ch/blog/2015/07/30/cifar.html">VGGNet</a>, the best validation accuracy (without data augmentation) we achieved was about 89%.</li>
-<li><a class="reference external" href="https://github.com/facebook/fb.resnet.torch">ResNet</a>, the best validation accuracy (without data augmentation) we achieved was about 83%.</li>
-<li><a class="reference external" href="https://github.com/BVLC/caffe/tree/master/examples/cifar10">Alexnet from Caffe</a>, SINGA is able to convert model from Caffe seamlessly.</li>
+<li><p><a class="reference external" href="https://code.google.com/p/cuda-convnet/source/browse/trunk/example-layers/layers-18pct.cfg">AlexNet</a>
+the best validation accuracy (without data augmentation) we achieved was about 82%.</p></li>
+<li><p><a class="reference external" href="http://torch.ch/blog/2015/07/30/cifar.html">VGGNet</a>, the best validation accuracy (without data augmentation) we achieved was about 89%.</p></li>
+<li><p><a class="reference external" href="https://github.com/facebook/fb.resnet.torch">ResNet</a>, the best validation accuracy (without data augmentation) we achieved was about 83%.</p></li>
+<li><p><a class="reference external" href="https://github.com/BVLC/caffe/tree/master/examples/cifar10">Alexnet from Caffe</a>, SINGA is able to convert model from Caffe seamlessly.</p></li>
</ol>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<div class="section" id="singa-installation">
-<span id="singa-installation"></span><h3>SINGA installation<a class="headerlink" href="#singa-installation" title="Permalink to this headline">¶</a></h3>
+<h3>SINGA installation<a class="headerlink" href="#singa-installation" title="Permalink to this headline">¶</a></h3>
<p>Users can compile and install SINGA from source or install the Python version.
The code can ran on both CPU and GPU. For GPU training, CUDA and CUDNN (V4 or V5)
are required. Please refer to the installation page for detailed instructions.</p>
</div>
<div class="section" id="data-preparation">
-<span id="data-preparation"></span><h3>Data preparation<a class="headerlink" href="#data-preparation" title="Permalink to this headline">¶</a></h3>
+<h3>Data preparation<a class="headerlink" href="#data-preparation" title="Permalink to this headline">¶</a></h3>
<p>The binary Cifar-10 dataset could be downloaded by</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">python</span> <span class="n">download_data</span><span class="o">.</span><span class="n">py</span> <span class="nb">bin</span>
</pre></div>
@@ -228,10 +228,10 @@ are required. Please refer to the instal
</div>
</div>
<div class="section" id="training">
-<span id="training"></span><h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3>
+<h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3>
<p>There are four training programs</p>
<ol>
-<li><p class="first">train.py. The following command would train the VGG model using the python
+<li><p>train.py. The following command would train the VGG model using the python
version of the Cifar-10 dataset in âcifar-10-batches-pyâ folder.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">python</span> <span class="n">train</span><span class="o">.</span><span class="n">py</span> <span class="n">vgg</span> <span class="n">cifar</span><span class="o">-</span><span class="mi">10</span><span class="o">-</span><span class="n">batches</span><span class="o">-</span><span class="n">py</span>
</pre></div>
@@ -244,24 +244,23 @@ argument</p>
</pre></div>
</div>
</li>
-<li><p class="first">alexnet.cc. It trains the AlexNet model using the CPP APIs on a CudaGPU,</p>
+<li><p>alexnet.cc. It trains the AlexNet model using the CPP APIs on a CudaGPU,</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="o">./</span><span class="n">run</span><span class="o">.</span><span class="n">sh</span>
</pre></div>
</div>
</li>
-<li><p class="first">alexnet-parallel.cc. It trains the AlexNet model using the CPP APIs on two CudaGPU devices.
+<li><p>alexnet-parallel.cc. It trains the AlexNet model using the CPP APIs on two CudaGPU devices.
The two devices run synchronously to compute the gradients of the mode parameters, which are
averaged on the host CPU device and then be applied to update the parameters.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="o">./</span><span class="n">run</span><span class="o">-</span><span class="n">parallel</span><span class="o">.</span><span class="n">sh</span>
</pre></div>
</div>
</li>
-<li><p class="first">vgg-parallel.cc. It trains the VGG model using the CPP APIs on two CudaGPU devices similar to alexnet-parallel.cc.</p>
-</li>
+<li><p>vgg-parallel.cc. It trains the VGG model using the CPP APIs on two CudaGPU devices similar to alexnet-parallel.cc.</p></li>
</ol>
</div>
<div class="section" id="prediction">
-<span id="prediction"></span><h3>Prediction<a class="headerlink" href="#prediction" title="Permalink to this headline">¶</a></h3>
+<h3>Prediction<a class="headerlink" href="#prediction" title="Permalink to this headline">¶</a></h3>
<p>predict.py includes the prediction function</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">net</span><span class="p">,</span> <span class="n">images</span><span class="p">,</span> <span class="n">dev</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
</pre></div>
@@ -289,7 +288,7 @@ The âmodel.binâ file generated
<div role="contentinfo">
<p>
- © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
</p>
</div>
@@ -306,36 +305,17 @@ The âmodel.binâ file generated
-
-
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT:'../../../../',
- VERSION:'1.1.0',
- LANGUAGE:'None',
- COLLAPSE_INDEX:false,
- FILE_SUFFIX:'.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="../../../../_static/jquery.js"></script>
- <script type="text/javascript" src="../../../../_static/underscore.js"></script>
- <script type="text/javascript" src="../../../../_static/doctools.js"></script>
-
-
-
-
-
- <script type="text/javascript" src="../../../../_static/js/theme.js"></script>
-
-
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
+
+
+
+
+
<div class="rst-versions" data-toggle="rst-versions" role="note" aria-label="versions">
<span class="rst-current-version" data-toggle="rst-current-version">
<span class="fa fa-book"> incubator-singa </span>
Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/alexnet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/alexnet/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/alexnet/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/alexnet/README.html Sun Apr 21 13:56:42 2019
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../../" src="../../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
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- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -185,45 +186,44 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<p>â></p>
-<div class="section" id="train-alexnet-over-imagenet">
-<span id="train-alexnet-over-imagenet"></span><h1>Train AlexNet over ImageNet<a class="headerlink" href="#train-alexnet-over-imagenet" title="Permalink to this headline">¶</a></h1>
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><div class="section" id="train-alexnet-over-imagenet">
+<h1>Train AlexNet over ImageNet<a class="headerlink" href="#train-alexnet-over-imagenet" title="Permalink to this headline">¶</a></h1>
<p>Convolution neural network (CNN) is a type of feed-forward neural
network widely used for image and video classification. In this example, we will
use a <a class="reference external" href="http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks">deep CNN model</a>
to do image classification against the ImageNet dataset.</p>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<div class="section" id="compile-singa">
-<span id="compile-singa"></span><h3>Compile SINGA<a class="headerlink" href="#compile-singa" title="Permalink to this headline">¶</a></h3>
+<h3>Compile SINGA<a class="headerlink" href="#compile-singa" title="Permalink to this headline">¶</a></h3>
<p>Please compile SINGA with CUDA, CUDNN and OpenCV. You can manually turn on the
options in CMakeLists.txt or run <code class="docutils literal notranslate"><span class="pre">ccmake</span> <span class="pre">..</span></code> in build/ folder.</p>
<p>We have tested CUDNN V4 and V5 (V5 requires CUDA 7.5)</p>
</div>
<div class="section" id="data-download">
-<span id="data-download"></span><h3>Data download<a class="headerlink" href="#data-download" title="Permalink to this headline">¶</a></h3>
+<h3>Data download<a class="headerlink" href="#data-download" title="Permalink to this headline">¶</a></h3>
<ul class="simple">
-<li>Please refer to step1-3 on <a class="reference external" href="https://github.com/amd/OpenCL-caffe/wiki/Instructions-to-create-ImageNet-2012-data">Instructions to create ImageNet 2012 data</a>
-to download and decompress the data.</li>
-<li>You can download the training and validation list by
+<li><p>Please refer to step1-3 on <a class="reference external" href="https://github.com/amd/OpenCL-caffe/wiki/Instructions-to-create-ImageNet-2012-data">Instructions to create ImageNet 2012 data</a>
+to download and decompress the data.</p></li>
+<li><p>You can download the training and validation list by
<a class="reference external" href="https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh">get_ilsvrc_aux.sh</a>
-or from <a class="reference external" href="http://www.image-net.org/download-images">Imagenet</a>.</li>
+or from <a class="reference external" href="http://www.image-net.org/download-images">Imagenet</a>.</p></li>
</ul>
</div>
<div class="section" id="data-preprocessing">
-<span id="data-preprocessing"></span><h3>Data preprocessing<a class="headerlink" href="#data-preprocessing" title="Permalink to this headline">¶</a></h3>
+<h3>Data preprocessing<a class="headerlink" href="#data-preprocessing" title="Permalink to this headline">¶</a></h3>
<ul>
-<li><p class="first">Assuming you have downloaded the data and the list.
+<li><p>Assuming you have downloaded the data and the list.
Now we should transform the data into binary files. You can run:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">sh</span> <span class="n">create_data</span><span class="o">.</span><span class="n">sh</span>
</pre></div>
@@ -231,41 +231,41 @@ Now we should transform the data into bi
<p>The script will generate a test file(<code class="docutils literal notranslate"><span class="pre">test.bin</span></code>), a mean file(<code class="docutils literal notranslate"><span class="pre">mean.bin</span></code>) and
several training files(<code class="docutils literal notranslate"><span class="pre">trainX.bin</span></code>) in the specified output folder.</p>
</li>
-<li><p class="first">You can also change the parameters in <code class="docutils literal notranslate"><span class="pre">create_data.sh</span></code>.</p>
+<li><p>You can also change the parameters in <code class="docutils literal notranslate"><span class="pre">create_data.sh</span></code>.</p>
<ul class="simple">
-<li><code class="docutils literal notranslate"><span class="pre">-trainlist</span> <span class="pre"><file></span></code>: the file of training list;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-trainfolder</span> <span class="pre"><folder></span></code>: the folder of training images;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-testlist</span> <span class="pre"><file></span></code>: the file of test list;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-testfolder</span> <span class="pre"><floder></span></code>: the folder of test images;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-outdata</span> <span class="pre"><folder></span></code>: the folder to save output files, including mean, training and test files.
-The script will generate these files in the specified folder;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-filesize</span> <span class="pre"><int></span></code>: number of training images that stores in each binary file.</li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-trainlist</span> <span class="pre"><file></span></code>: the file of training list;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-trainfolder</span> <span class="pre"><folder></span></code>: the folder of training images;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-testlist</span> <span class="pre"><file></span></code>: the file of test list;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-testfolder</span> <span class="pre"><floder></span></code>: the folder of test images;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-outdata</span> <span class="pre"><folder></span></code>: the folder to save output files, including mean, training and test files.
+The script will generate these files in the specified folder;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-filesize</span> <span class="pre"><int></span></code>: number of training images that stores in each binary file.</p></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="training">
-<span id="training"></span><h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3>
+<h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3>
<ul>
-<li><p class="first">After preparing data, you can run the following command to train the Alexnet model.</p>
+<li><p>After preparing data, you can run the following command to train the Alexnet model.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">sh</span> <span class="n">run</span><span class="o">.</span><span class="n">sh</span>
</pre></div>
</div>
</li>
-<li><p class="first">You may change the parameters in <code class="docutils literal notranslate"><span class="pre">run.sh</span></code>.</p>
+<li><p>You may change the parameters in <code class="docutils literal notranslate"><span class="pre">run.sh</span></code>.</p>
<ul class="simple">
-<li><code class="docutils literal notranslate"><span class="pre">-epoch</span> <span class="pre"><int></span></code>: number of epoch to be trained, default is 90;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-lr</span> <span class="pre"><float></span></code>: base learning rate, the learning rate will decrease each 20 epochs,
-more specifically, <code class="docutils literal notranslate"><span class="pre">lr</span> <span class="pre">=</span> <span class="pre">lr</span> <span class="pre">*</span> <span class="pre">exp(0.1</span> <span class="pre">*</span> <span class="pre">(epoch</span> <span class="pre">/</span> <span class="pre">20))</span></code>;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-batchsize</span> <span class="pre"><int></span></code>: batchsize, it should be changed regarding to your memory;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-filesize</span> <span class="pre"><int></span></code>: number of training images that stores in each binary file, it is the
-same as the <code class="docutils literal notranslate"><span class="pre">filesize</span></code> in data preprocessing;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-ntrain</span> <span class="pre"><int></span></code>: number of training images;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-ntest</span> <span class="pre"><int></span></code>: number of test images;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-data</span> <span class="pre"><folder></span></code>: the folder which stores the binary files, it is exactly the output
-folder in data preprocessing step;</li>
-<li><code class="docutils literal notranslate"><span class="pre">-pfreq</span> <span class="pre"><int></span></code>: the frequency(in batch) of printing current model status(loss and accuracy);</li>
-<li><code class="docutils literal notranslate"><span class="pre">-nthreads</span> <span class="pre"><int></span></code>: the number of threads to load data which feed to the model.</li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-epoch</span> <span class="pre"><int></span></code>: number of epoch to be trained, default is 90;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-lr</span> <span class="pre"><float></span></code>: base learning rate, the learning rate will decrease each 20 epochs,
+more specifically, <code class="docutils literal notranslate"><span class="pre">lr</span> <span class="pre">=</span> <span class="pre">lr</span> <span class="pre">*</span> <span class="pre">exp(0.1</span> <span class="pre">*</span> <span class="pre">(epoch</span> <span class="pre">/</span> <span class="pre">20))</span></code>;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-batchsize</span> <span class="pre"><int></span></code>: batchsize, it should be changed regarding to your memory;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-filesize</span> <span class="pre"><int></span></code>: number of training images that stores in each binary file, it is the
+same as the <code class="docutils literal notranslate"><span class="pre">filesize</span></code> in data preprocessing;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-ntrain</span> <span class="pre"><int></span></code>: number of training images;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-ntest</span> <span class="pre"><int></span></code>: number of test images;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-data</span> <span class="pre"><folder></span></code>: the folder which stores the binary files, it is exactly the output
+folder in data preprocessing step;</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-pfreq</span> <span class="pre"><int></span></code>: the frequency(in batch) of printing current model status(loss and accuracy);</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">-nthreads</span> <span class="pre"><int></span></code>: the number of threads to load data which feed to the model.</p></li>
</ul>
</li>
</ul>
@@ -284,7 +284,7 @@ folder in data preprocessing step;</li>
<div role="contentinfo">
<p>
- © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
</p>
</div>
@@ -301,36 +301,17 @@ folder in data preprocessing step;</li>
-
-
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT:'../../../../../',
- VERSION:'1.1.0',
- LANGUAGE:'None',
- COLLAPSE_INDEX:false,
- FILE_SUFFIX:'.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
- <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
- <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
-
-
-
-
-
- <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
-
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
+
+
+
+
+
<div class="rst-versions" data-toggle="rst-versions" role="note" aria-label="versions">
<span class="rst-current-version" data-toggle="rst-current-version">
<span class="fa fa-book"> incubator-singa </span>
Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/densenet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/densenet/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/densenet/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/densenet/README.html Sun Apr 21 13:56:42 2019
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>â> — incubator-singa 1.1.0 documentation</title>
+ <title>name: DenseNet models on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py — incubator-singa 1.1.0 documentation</title>
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../../" src="../../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -161,7 +162,10 @@
<li><a href="../../../../../index.html">Docs</a> »</li>
- <li>â></li>
+ <li>name: DenseNet models on ImageNet
+SINGA version: 1.1.1
+SINGA commit:
+license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</li>
<li class="wy-breadcrumbs-aside">
@@ -185,44 +189,43 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<div class="section" id="">
-<span id="id1"></span><h1>â><a class="headerlink" href="#" title="Permalink to this headline">¶</a></h1>
-<p>name: DenseNet models on ImageNet
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><hr class="docutils" />
+<div class="section" id="name-densenet-models-on-imagenet-singa-version-1-1-1-singa-commit-license-https-github-com-pytorch-vision-blob-master-torchvision-models-densenet-py">
+<h1>name: DenseNet models on ImageNet
SINGA version: 1.1.1
SINGA commit:
-license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</p>
+license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py<a class="headerlink" href="#name-densenet-models-on-imagenet-singa-version-1-1-1-singa-commit-license-https-github-com-pytorch-vision-blob-master-torchvision-models-densenet-py" title="Permalink to this headline">¶</a></h1>
</div>
-<hr class="docutils" />
<div class="section" id="image-classification-using-densenet">
-<span id="image-classification-using-densenet"></span><h1>Image Classification using DenseNet<a class="headerlink" href="#image-classification-using-densenet" title="Permalink to this headline">¶</a></h1>
+<h1>Image Classification using DenseNet<a class="headerlink" href="#image-classification-using-densenet" title="Permalink to this headline">¶</a></h1>
<p>In this example, we convert DenseNet on <a class="reference external" href="https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py">PyTorch</a>
to SINGA for image classification.</p>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<ul>
-<li><p class="first">Download one parameter checkpoint file (see below) and the synset word file of ImageNet into this folder, e.g.,</p>
+<li><p>Download one parameter checkpoint file (see below) and the synset word file of ImageNet into this folder, e.g.,</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-121.tar.gz
$ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt
$ tar xvf densenet-121.tar.gz
</pre></div>
</div>
</li>
-<li><p class="first">Usage</p>
+<li><p>Usage</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ python serve.py -h
</pre></div>
</div>
</li>
-<li><p class="first">Example</p>
+<li><p>Example</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu
$ python serve.py --use_cpu --parameter_file densenet-121.pickle --depth 121 &
# use gpu
@@ -232,7 +235,7 @@ to SINGA for image classification.</p>
<p>The parameter files for the following model and depth configuration pairs are provided:
<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-121.tar.gz">121</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-169.tar.gz">169</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-201.tar.gz">201</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-161.tar.gz">161</a></p>
</li>
-<li><p class="first">Submit images for classification</p>
+<li><p>Submit images for classification</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ curl -i -F image=@image1.jpg http://localhost:9999/api
$ curl -i -F image=@image2.jpg http://localhost:9999/api
$ curl -i -F image=@image3.jpg http://localhost:9999/api
@@ -243,7 +246,7 @@ to SINGA for image classification.</p>
<p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p>
</div>
<div class="section" id="details">
-<span id="details"></span><h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
+<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
<p>The parameter files were converted from the pytorch via the convert.py program.</p>
<p>Usage:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ python convert.py -h
@@ -263,7 +266,7 @@ to SINGA for image classification.</p>
<div role="contentinfo">
<p>
- © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
</p>
</div>
@@ -280,36 +283,17 @@ to SINGA for image classification.</p>
-
-
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT:'../../../../../',
- VERSION:'1.1.0',
- LANGUAGE:'None',
- COLLAPSE_INDEX:false,
- FILE_SUFFIX:'.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
- <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
- <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
-
-
-
-
-
- <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
-
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
+
+
+
+
+
<div class="rst-versions" data-toggle="rst-versions" role="note" aria-label="versions">
<span class="rst-current-version" data-toggle="rst-current-version">
<span class="fa fa-book"> incubator-singa </span>
Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/googlenet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/googlenet/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/googlenet/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/googlenet/README.html Sun Apr 21 13:56:42 2019
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>â> — incubator-singa 1.1.0 documentation</title>
+ <title>name: GoogleNet on ImageNet SINGA version: 1.0.1 SINGA commit: 8c990f7da2de220e8a012c6a8ecc897dc7532744 parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz parameter_sha1: 0a88e8948b1abca3badfd8d090d6be03f8d7655d license: unrestricted https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet — incubator-singa 1.1.0 documentation</title>
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../../" src="../../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -161,7 +162,12 @@
<li><a href="../../../../../index.html">Docs</a> »</li>
- <li>â></li>
+ <li>name: GoogleNet on ImageNet
+SINGA version: 1.0.1
+SINGA commit: 8c990f7da2de220e8a012c6a8ecc897dc7532744
+parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz
+parameter_sha1: 0a88e8948b1abca3badfd8d090d6be03f8d7655d
+license: unrestricted https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet</li>
<li class="wy-breadcrumbs-aside">
@@ -185,39 +191,38 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<div class="section" id="">
-<span id="id1"></span><h1>â><a class="headerlink" href="#" title="Permalink to this headline">¶</a></h1>
-<p>name: GoogleNet on ImageNet
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><hr class="docutils" />
+<div class="section" id="name-googlenet-on-imagenet-singa-version-1-0-1-singa-commit-8c990f7da2de220e8a012c6a8ecc897dc7532744-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-bvlc-googlenet-tar-gz-parameter-sha1-0a88e8948b1abca3badfd8d090d6be03f8d7655d-license-unrestricted-https-github-com-bvlc-caffe-tree-master-models-bvlc-googlenet">
+<h1>name: GoogleNet on ImageNet
SINGA version: 1.0.1
SINGA commit: 8c990f7da2de220e8a012c6a8ecc897dc7532744
parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz
parameter_sha1: 0a88e8948b1abca3badfd8d090d6be03f8d7655d
-license: unrestricted https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet</p>
+license: unrestricted https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet<a class="headerlink" href="#name-googlenet-on-imagenet-singa-version-1-0-1-singa-commit-8c990f7da2de220e8a012c6a8ecc897dc7532744-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-bvlc-googlenet-tar-gz-parameter-sha1-0a88e8948b1abca3badfd8d090d6be03f8d7655d-license-unrestricted-https-github-com-bvlc-caffe-tree-master-models-bvlc-googlenet" title="Permalink to this headline">¶</a></h1>
</div>
-<hr class="docutils" />
<div class="section" id="image-classification-using-googlenet">
-<span id="image-classification-using-googlenet"></span><h1>Image Classification using GoogleNet<a class="headerlink" href="#image-classification-using-googlenet" title="Permalink to this headline">¶</a></h1>
+<h1>Image Classification using GoogleNet<a class="headerlink" href="#image-classification-using-googlenet" title="Permalink to this headline">¶</a></h1>
<p>In this example, we convert GoogleNet trained on Caffe to SINGA for image classification.</p>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<ul>
-<li><p class="first">Download the parameter checkpoint file into this folder</p>
+<li><p>Download the parameter checkpoint file into this folder</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz
$ tar xvf bvlc_googlenet.tar.gz
</pre></div>
</div>
</li>
-<li><p class="first">Run the program</p>
+<li><p>Run the program</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu
$ python serve.py -C &
# use gpu
@@ -225,7 +230,7 @@ license: unrestricted https://github.com
</pre></div>
</div>
</li>
-<li><p class="first">Submit images for classification</p>
+<li><p>Submit images for classification</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ curl -i -F image=@image1.jpg http://localhost:9999/api
$ curl -i -F image=@image2.jpg http://localhost:9999/api
$ curl -i -F image=@image3.jpg http://localhost:9999/api
@@ -236,7 +241,7 @@ license: unrestricted https://github.com
<p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p>
</div>
<div class="section" id="details">
-<span id="details"></span><h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
+<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
<p>We first extract the parameter values from <a class="reference external" href="http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel">Caffeâs checkpoint file</a> into a pickle version
After downloading the checkpoint file into <code class="docutils literal notranslate"><span class="pre">caffe_root/python</span></code> folder, run the following script</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># to be executed within caffe_root/python folder</span>
@@ -279,7 +284,7 @@ Refer to <a class="reference external" h
<div role="contentinfo">
<p>
- © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
</p>
</div>
@@ -296,36 +301,17 @@ Refer to <a class="reference external" h
-
-
- <script type="text/javascript">
- var DOCUMENTATION_OPTIONS = {
- URL_ROOT:'../../../../../',
- VERSION:'1.1.0',
- LANGUAGE:'None',
- COLLAPSE_INDEX:false,
- FILE_SUFFIX:'.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '.txt'
- };
- </script>
- <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
- <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
- <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
-
-
-
-
-
- <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
-
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
+
+
+
+
+
<div class="rst-versions" data-toggle="rst-versions" role="note" aria-label="versions">
<span class="rst-current-version" data-toggle="rst-current-version">
<span class="fa fa-book"> incubator-singa </span>
Modified: incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/inception/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/inception/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff
==============================================================================
--- incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/inception/README.html (original)
+++ incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/inception/README.html Sun Apr 21 13:56:42 2019
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>â> — incubator-singa 1.1.0 documentation</title>
+ <title>name: Inception V4 on ImageNet SINGA version: 1.1.1 SINGA commit: parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz parameter_sha1: 5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56 license: https://github.com/tensorflow/models/tree/master/slim — incubator-singa 1.1.0 documentation</title>
@@ -18,15 +18,21 @@
-
-
+ <script type="text/javascript" src="../../../../../_static/js/modernizr.min.js"></script>
+ <script type="text/javascript" id="documentation_options" data-url_root="../../../../../" src="../../../../../_static/documentation_options.js"></script>
+ <script type="text/javascript" src="../../../../../_static/jquery.js"></script>
+ <script type="text/javascript" src="../../../../../_static/underscore.js"></script>
+ <script type="text/javascript" src="../../../../../_static/doctools.js"></script>
+ <script type="text/javascript" src="../../../../../_static/language_data.js"></script>
+
+ <script type="text/javascript" src="../../../../../_static/js/theme.js"></script>
-
+
- <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
+ <link rel="stylesheet" href="../../../../../_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="../../../../../_static/pygments.css" type="text/css" />
<link rel="index" title="Index" href="../../../../../genindex.html" />
<link rel="search" title="Search" href="../../../../../search.html" />
@@ -42,21 +48,16 @@
}
</style>
-
-
- <script src="../../../../../_static/js/modernizr.min.js"></script>
-
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
-
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
- <div class="wy-side-nav-search">
+ <div class="wy-side-nav-search" >
@@ -161,7 +162,12 @@
<li><a href="../../../../../index.html">Docs</a> »</li>
- <li>â></li>
+ <li>name: Inception V4 on ImageNet
+SINGA version: 1.1.1
+SINGA commit:
+parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz
+parameter_sha1: 5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56
+license: https://github.com/tensorflow/models/tree/master/slim</li>
<li class="wy-breadcrumbs-aside">
@@ -185,41 +191,39 @@
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="n">http</span><span class="p">:</span><span class="o">//</span><span class="n">www</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">org</span><span class="o">/</span><span class="n">licenses</span><span class="o">/</span><span class="n">LICENSE</span><span class="o">-</span><span class="mf">2.0</span>
+ with the License. You may obtain a copy of the License at
-<span class="n">Unless</span> <span class="n">required</span> <span class="n">by</span> <span class="n">applicable</span> <span class="n">law</span> <span class="ow">or</span> <span class="n">agreed</span> <span class="n">to</span> <span class="ow">in</span> <span class="n">writing</span><span class="p">,</span>
-<span class="n">software</span> <span class="n">distributed</span> <span class="n">under</span> <span class="n">the</span> <span class="n">License</span> <span class="ow">is</span> <span class="n">distributed</span> <span class="n">on</span> <span class="n">an</span>
-<span class="s2">"AS IS"</span> <span class="n">BASIS</span><span class="p">,</span> <span class="n">WITHOUT</span> <span class="n">WARRANTIES</span> <span class="n">OR</span> <span class="n">CONDITIONS</span> <span class="n">OF</span> <span class="n">ANY</span>
-<span class="n">KIND</span><span class="p">,</span> <span class="n">either</span> <span class="n">express</span> <span class="ow">or</span> <span class="n">implied</span><span class="o">.</span> <span class="n">See</span> <span class="n">the</span> <span class="n">License</span> <span class="k">for</span> <span class="n">the</span>
-<span class="n">specific</span> <span class="n">language</span> <span class="n">governing</span> <span class="n">permissions</span> <span class="ow">and</span> <span class="n">limitations</span>
-<span class="n">under</span> <span class="n">the</span> <span class="n">License</span><span class="o">.</span>
-</pre></div>
-</div>
-<div class="section" id="">
-<span id="id1"></span><h1>â><a class="headerlink" href="#" title="Permalink to this headline">¶</a></h1>
-<p>name: Inception V4 on ImageNet
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing,
+ software distributed under the License is distributed on an
+ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ KIND, either express or implied. See the License for the
+ specific language governing permissions and limitations
+ under the License.
+--><hr class="docutils" />
+<div class="section" id="name-inception-v4-on-imagenet-singa-version-1-1-1-singa-commit-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-inception-v4-tar-gz-parameter-sha1-5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56-license-https-github-com-tensorflow-models-tree-master-slim">
+<h1>name: Inception V4 on ImageNet
SINGA version: 1.1.1
SINGA commit:
parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz
parameter_sha1: 5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56
-license: https://github.com/tensorflow/models/tree/master/slim</p>
+license: https://github.com/tensorflow/models/tree/master/slim<a class="headerlink" href="#name-inception-v4-on-imagenet-singa-version-1-1-1-singa-commit-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-inception-v4-tar-gz-parameter-sha1-5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56-license-https-github-com-tensorflow-models-tree-master-slim" title="Permalink to this headline">¶</a></h1>
</div>
-<hr class="docutils" />
<div class="section" id="image-classification-using-inception-v4">
-<span id="image-classification-using-inception-v4"></span><h1>Image Classification using Inception V4<a class="headerlink" href="#image-classification-using-inception-v4" title="Permalink to this headline">¶</a></h1>
+<h1>Image Classification using Inception V4<a class="headerlink" href="#image-classification-using-inception-v4" title="Permalink to this headline">¶</a></h1>
<p>In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification.</p>
<div class="section" id="instructions">
-<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2>
<ul>
-<li><p class="first">Download the parameter checkpoint file</p>
+<li><p>Download the parameter checkpoint file</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ wget
$ tar xvf inception_v4.tar.gz
</pre></div>
</div>
</li>
-<li><p class="first">Download <a class="reference external" href="https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh">synset_word.txt</a> file.</p>
-</li>
-<li><p class="first">Run the program</p>
+<li><p>Download <a class="reference external" href="https://github.com/BVLC/caffe/blob/master/data/ilsvrc12/get_ilsvrc_aux.sh">synset_word.txt</a> file.</p></li>
+<li><p>Run the program</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu
$ python serve.py -C &
# use gpu
@@ -227,7 +231,7 @@ license: https://github.com/tensorflow/m
</pre></div>
</div>
</li>
-<li><p class="first">Submit images for classification</p>
+<li><p>Submit images for classification</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ curl -i -F image=@image1.jpg http://localhost:9999/api
$ curl -i -F image=@image2.jpg http://localhost:9999/api
$ curl -i -F image=@image3.jpg http://localhost:9999/api
@@ -238,7 +242,7 @@ license: https://github.com/tensorflow/m
<p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p>
</div>
<div class="section" id="details">
-<span id="details"></span><h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
+<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2>
<p>We first extract the parameter values from <a class="reference external" href="http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz">Tensorflowâs checkpoint file</a> into a pickle version.
After downloading and decompressing the checkpoint file, run the following script</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ python convert.py --file_name=inception_v4.ckpt
@@ -258,7 +262,7 @@ After downloading and decompressing the
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<p>
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+ © Copyright 2019 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners.
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@@ -275,36 +279,17 @@ After downloading and decompressing the
-
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