Modified: incubator/singa/site/trunk/en/docs/model_zoo/imagenet/googlenet/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/imagenet/googlenet/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/imagenet/googlenet/README.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/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> @@ -18,20 +18,26 @@ - - + <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" /> - 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- - <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" > @@ -122,19 +123,39 @@ <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">Train Char-RNN over plain text</a></li> <li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">Train a RBM model against MNIST dataset</a></li> <li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">Train AlexNet over ImageNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a></li> -<li class="toctree-l3 current"><a class="current reference internal" href="#">â></a></li> +<li class="toctree-l3 current"><a class="current reference internal" 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</a></li> <li class="toctree-l3"><a class="reference internal" href="#image-classification-using-googlenet">Image Classification using GoogleNet</a><ul> <li class="toctree-l4"><a class="reference internal" href="#instructions">Instructions</a></li> <li class="toctree-l4"><a class="reference internal" href="#details">Details</a></li> </ul> </li> -<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../inception/README.html#image-classification-using-inception-v4">Image Classification using Inception V4</a></li> -<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l3"><a class="reference internal" href="../resnet/README.html#image-classification-using-residual-networks">Image Classification using Residual Networks</a></li> -<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../vgg/README.html#image-classification-using-vgg">Image Classification using VGG</a></li> </ul> </li> @@ -207,7 +228,12 @@ <li><a href="../../index.html">Model Zoo</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"> @@ -231,39 +257,38 @@ 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 @@ -271,7 +296,7 @@ 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 [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api @@ -282,7 +307,7 @@ 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> @@ -322,10 +347,10 @@ Refer to <a class="reference external" h <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> - <a href="../inception/README.html" class="btn btn-neutral float-right" title="â>" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> + <a href="../inception/README.html" class="btn btn-neutral float-right" 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"; accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> - <a href="../densenet/README.html" class="btn btn-neutral" title="â>" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + <a href="../densenet/README.html" class="btn btn-neutral float-left" 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"; accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> </div> @@ -334,7 +359,7 @@ 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> @@ -351,36 +376,17 @@ 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/imagenet/inception/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/imagenet/inception/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/imagenet/inception/README.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/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> @@ -18,20 +18,26 @@ - 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- - <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" > @@ -122,19 +123,39 @@ <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">Train Char-RNN over plain text</a></li> <li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">Train a RBM model against MNIST dataset</a></li> <li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">Train AlexNet over ImageNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html#image-classification-using-googlenet">Image Classification using GoogleNet</a></li> -<li class="toctree-l3 current"><a class="current reference internal" href="#">â></a></li> +<li class="toctree-l3 current"><a class="current reference internal" 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</a></li> <li class="toctree-l3"><a class="reference internal" href="#image-classification-using-inception-v4">Image Classification using Inception V4</a><ul> <li class="toctree-l4"><a class="reference internal" href="#instructions">Instructions</a></li> <li class="toctree-l4"><a class="reference internal" href="#details">Details</a></li> </ul> </li> -<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l3"><a class="reference internal" href="../resnet/README.html#image-classification-using-residual-networks">Image Classification using Residual Networks</a></li> -<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../vgg/README.html#image-classification-using-vgg">Image Classification using VGG</a></li> </ul> </li> @@ -207,7 +228,12 @@ <li><a href="../../index.html">Model Zoo</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"> @@ -231,41 +257,39 @@ 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 @@ -273,7 +297,7 @@ 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 [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api @@ -284,7 +308,7 @@ 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 @@ -301,10 +325,10 @@ After downloading and decompressing the <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> - <a href="../resnet/README.html" class="btn btn-neutral float-right" title="â>" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> + <a href="../resnet/README.html" class="btn btn-neutral float-right" title="name: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE"; accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> - <a href="../googlenet/README.html" class="btn btn-neutral" title="â>" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + <a href="../googlenet/README.html" class="btn btn-neutral float-left" 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"; accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> </div> @@ -313,7 +337,7 @@ After downloading and decompressing the <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> @@ -330,36 +354,17 @@ After downloading and decompressing the - - - <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/imagenet/resnet/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/imagenet/resnet/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/imagenet/resnet/README.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/imagenet/resnet/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: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE — incubator-singa 1.1.0 documentation</title> @@ -18,20 +18,26 @@ - - + <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> - 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- - <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" > @@ -122,19 +123,39 @@ <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">Train Char-RNN over plain text</a></li> <li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">Train a RBM model against MNIST dataset</a></li> <li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">Train AlexNet over ImageNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html#image-classification-using-googlenet">Image Classification using GoogleNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../inception/README.html#image-classification-using-inception-v4">Image Classification using Inception V4</a></li> -<li class="toctree-l3 current"><a class="current reference internal" href="#">â></a></li> +<li class="toctree-l3 current"><a class="current reference internal" href="#">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l3"><a class="reference internal" href="#image-classification-using-residual-networks">Image Classification using Residual Networks</a><ul> <li class="toctree-l4"><a class="reference internal" href="#instructions">Instructions</a></li> <li class="toctree-l4"><a class="reference internal" href="#details">Details</a></li> </ul> </li> -<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../vgg/README.html#image-classification-using-vgg">Image Classification using VGG</a></li> </ul> </li> @@ -207,7 +228,11 @@ <li><a href="../../index.html">Model Zoo</a> »</li> - <li>â></li> + <li>name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</li> <li class="wy-breadcrumbs-aside"> @@ -231,44 +256,43 @@ 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: Resnets 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-resnets-on-imagenet-singa-version-1-1-singa-commit-45ec92d8ffc1fa1385a9307fdf07e21da939ee2f-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-resnet-resnet-18-tar-gz-license-apache-v2-https-github-com-facebook-fb-resnet-torch-blob-master-license"> +<h1>name: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz -license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</p> +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE<a class="headerlink" href="#name-resnets-on-imagenet-singa-version-1-1-singa-commit-45ec92d8ffc1fa1385a9307fdf07e21da939ee2f-parameter-url-https-s3-ap-southeast-1-amazonaws-com-dlfile-resnet-resnet-18-tar-gz-license-apache-v2-https-github-com-facebook-fb-resnet-torch-blob-master-license" title="Permalink to this headline">¶</a></h1> </div> -<hr class="docutils" /> <div class="section" id="image-classification-using-residual-networks"> -<span id="image-classification-using-residual-networks"></span><h1>Image Classification using Residual Networks<a class="headerlink" href="#image-classification-using-residual-networks" title="Permalink to this headline">¶</a></h1> +<h1>Image Classification using Residual Networks<a class="headerlink" href="#image-classification-using-residual-networks" title="Permalink to this headline">¶</a></h1> <p>In this example, we convert Residual Networks trained on <a class="reference external" href="https://github.com/facebook/fb.resnet.torch";>Torch</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/resnet/resnet-18.tar.gz $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt $ tar xvf resnet-18.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 resnet-18.pickle --model resnet --depth 18 & # use gpu @@ -277,13 +301,13 @@ license: Apache V2, https://github.com/f </div> <p>The parameter files for the following model and depth configuration pairs are provided:</p> <ul class="simple"> -<li>resnet (original resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz";>18</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-34.tar.gz";>34</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-101.tar.gz";>101</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-152.tar.gz";>152</a></li> -<li>addbn (resnet with a batch normalization layer after the addition), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-50.tar.gz";>50</a></li> -<li>wrn (wide resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/wrn-50-2.tar.gz";>50</a></li> -<li>preact (resnet with pre-activation) <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-200.tar.gz";>200</a></li> +<li><p>resnet (original resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz";>18</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-34.tar.gz";>34</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-101.tar.gz";>101</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-152.tar.gz";>152</a></p></li> +<li><p>addbn (resnet with a batch normalization layer after the addition), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-50.tar.gz";>50</a></p></li> +<li><p>wrn (wide resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/wrn-50-2.tar.gz";>50</a></p></li> +<li><p>preact (resnet with pre-activation) <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-200.tar.gz";>200</a></p></li> </ul> </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 [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api @@ -294,7 +318,7 @@ license: Apache V2, https://github.com/f <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 extracted from the original <a class="reference external" href="https://github.com/facebook/fb.resnet.torch/tree/master/pretrained";>torch files</a> via the convert.py program.</p> <p>Usage:</p> @@ -312,10 +336,10 @@ the convert.py program.</p> <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> - <a href="../vgg/README.html" class="btn btn-neutral float-right" title="â>" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> + <a href="../vgg/README.html" class="btn btn-neutral float-right" title="name: VGG models on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py"; accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> - <a href="../inception/README.html" class="btn btn-neutral" title="â>" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + <a href="../inception/README.html" class="btn btn-neutral float-left" 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"; accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> </div> @@ -324,7 +348,7 @@ the convert.py program.</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> @@ -341,36 +365,17 @@ the convert.py program.</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/imagenet/vgg/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/imagenet/vgg/README.html?rev=1857911&r1=1857910&r2=1857911&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/imagenet/vgg/README.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/imagenet/vgg/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: VGG models on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py — incubator-singa 1.1.0 documentation</title> @@ -18,20 +18,26 @@ - - + <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" /> <link rel="next" title="Security" href="../../../security.html" /> - <link rel="prev" title="â>" href="../resnet/README.html" /> + <link rel="prev" title="name: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE"; href="../resnet/README.html" /> <link href="../../../../_static/style.css" rel="stylesheet" type="text/css"> <!--link href="../../../../_static/fontawesome-all.min.css" rel="stylesheet" type="text/css"--> <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.0.13/css/all.css"; integrity="sha384-DNOHZ68U8hZfKXOrtjWvjxusGo9WQnrNx2sqG0tfsghAvtVlRW3tvkXWZh58N9jp" crossorigin="anonymous"> @@ -44,21 +50,16 @@ } </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" > @@ -122,15 +123,35 @@ <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">Train Char-RNN over plain text</a></li> <li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">Train a RBM model against MNIST dataset</a></li> <li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">Train AlexNet over ImageNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l3"><a class="reference internal" href="../densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html#image-classification-using-googlenet">Image Classification using GoogleNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="../inception/README.html#image-classification-using-inception-v4">Image Classification using Inception V4</a></li> -<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l3"><a class="reference internal" href="../resnet/README.html#image-classification-using-residual-networks">Image Classification using Residual Networks</a></li> -<li class="toctree-l3 current"><a class="current reference internal" href="#">â></a></li> +<li class="toctree-l3 current"><a class="current reference internal" href="#">name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</a></li> <li class="toctree-l3"><a class="reference internal" href="#image-classification-using-vgg">Image Classification using VGG</a><ul> <li class="toctree-l4"><a class="reference internal" href="#instructions">Instructions</a></li> <li class="toctree-l4"><a class="reference internal" href="#details">Details</a></li> @@ -207,7 +228,10 @@ <li><a href="../../index.html">Model Zoo</a> »</li> - <li>â></li> + <li>name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</li> <li class="wy-breadcrumbs-aside"> @@ -231,44 +255,43 @@ 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: VGG 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-vgg-models-on-imagenet-singa-version-1-1-1-singa-commit-license-https-github-com-pytorch-vision-blob-master-torchvision-models-vgg-py"> +<h1>name: VGG models on ImageNet SINGA version: 1.1.1 SINGA commit: -license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</p> +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py<a class="headerlink" href="#name-vgg-models-on-imagenet-singa-version-1-1-1-singa-commit-license-https-github-com-pytorch-vision-blob-master-torchvision-models-vgg-py" title="Permalink to this headline">¶</a></h1> </div> -<hr class="docutils" /> <div class="section" id="image-classification-using-vgg"> -<span id="image-classification-using-vgg"></span><h1>Image Classification using VGG<a class="headerlink" href="#image-classification-using-vgg" title="Permalink to this headline">¶</a></h1> +<h1>Image Classification using VGG<a class="headerlink" href="#image-classification-using-vgg" title="Permalink to this headline">¶</a></h1> <p>In this example, we convert VGG on <a class="reference external" href="https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.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/vgg/vgg11.tar.gz $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt $ tar xvf vgg11.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 vgg11.pickle --depth 11 & # use gpu @@ -277,11 +300,11 @@ to SINGA for image classification.</p> </div> <p>The parameter files for the following model and depth configuration pairs are provided:</p> <ul class="simple"> -<li>Without batch-normalization, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11.tar.gz";>11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13.tar.gz";>13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16.tar.gz";>16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19.tar.gz";>19</a></li> -<li>With batch-normalization, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11_bn.tar.gz";>11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13_bn.tar.gz";>13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16_bn.tar.gz";>16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19_bn.tar.gz";>19</a></li> +<li><p>Without batch-normalization, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11.tar.gz";>11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13.tar.gz";>13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16.tar.gz";>16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19.tar.gz";>19</a></p></li> +<li><p>With batch-normalization, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11_bn.tar.gz";>11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13_bn.tar.gz";>13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16_bn.tar.gz";>16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19_bn.tar.gz";>19</a></p></li> </ul> </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 [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api $ curl -i -F [email protected] http://localhost:9999/api @@ -292,7 +315,7 @@ 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 @@ -312,7 +335,7 @@ to SINGA for image classification.</p> <a href="../../../security.html" class="btn btn-neutral float-right" title="Security" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a> - <a href="../resnet/README.html" class="btn btn-neutral" title="â>" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + <a href="../resnet/README.html" class="btn btn-neutral float-left" title="name: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE"; accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> </div> @@ -321,7 +344,7 @@ 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> @@ -338,36 +361,17 @@ 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/index.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/index.html?rev=1857911&r1=1857910&r2=1857911&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/index.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/index.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" /> @@ -44,21 +50,16 @@ } </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" > @@ -122,15 +123,35 @@ <li class="toctree-l3"><a class="reference internal" href="char-rnn/README.html">Train Char-RNN over plain text</a></li> <li class="toctree-l3"><a class="reference internal" href="mnist/README.html">Train a RBM model against MNIST dataset</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/alexnet/README.html">Train AlexNet over ImageNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="imagenet/densenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="imagenet/densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="imagenet/googlenet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="imagenet/googlenet/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/googlenet/README.html#image-classification-using-googlenet">Image Classification using GoogleNet</a></li> -<li class="toctree-l3"><a class="reference internal" href="imagenet/inception/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="imagenet/inception/README.html">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</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/inception/README.html#image-classification-using-inception-v4">Image Classification using Inception V4</a></li> -<li class="toctree-l3"><a class="reference internal" href="imagenet/resnet/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="imagenet/resnet/README.html">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/resnet/README.html#image-classification-using-residual-networks">Image Classification using Residual Networks</a></li> -<li class="toctree-l3"><a class="reference internal" href="imagenet/vgg/README.html">â></a></li> +<li class="toctree-l3"><a class="reference internal" href="imagenet/vgg/README.html">name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</a></li> <li class="toctree-l3"><a class="reference internal" href="imagenet/vgg/README.html#image-classification-using-vgg">Image Classification using VGG</a></li> </ul> </li> @@ -250,31 +271,51 @@ </li> </ul> </li> -<li class="toctree-l1"><a class="reference internal" href="imagenet/densenet/README.html">â></a></li> +<li class="toctree-l1"><a class="reference internal" href="imagenet/densenet/README.html">name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</a></li> <li class="toctree-l1"><a class="reference internal" href="imagenet/densenet/README.html#image-classification-using-densenet">Image Classification using DenseNet</a><ul> <li class="toctree-l2"><a class="reference internal" href="imagenet/densenet/README.html#instructions">Instructions</a></li> <li class="toctree-l2"><a class="reference internal" href="imagenet/densenet/README.html#details">Details</a></li> </ul> </li> -<li class="toctree-l1"><a class="reference internal" href="imagenet/googlenet/README.html">â></a></li> +<li class="toctree-l1"><a class="reference internal" href="imagenet/googlenet/README.html">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</a></li> <li class="toctree-l1"><a class="reference internal" href="imagenet/googlenet/README.html#image-classification-using-googlenet">Image Classification using GoogleNet</a><ul> <li class="toctree-l2"><a class="reference internal" href="imagenet/googlenet/README.html#instructions">Instructions</a></li> <li class="toctree-l2"><a class="reference internal" href="imagenet/googlenet/README.html#details">Details</a></li> </ul> </li> -<li class="toctree-l1"><a class="reference internal" href="imagenet/inception/README.html">â></a></li> +<li class="toctree-l1"><a class="reference internal" href="imagenet/inception/README.html">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</a></li> <li class="toctree-l1"><a class="reference internal" href="imagenet/inception/README.html#image-classification-using-inception-v4">Image Classification using Inception V4</a><ul> <li class="toctree-l2"><a class="reference internal" href="imagenet/inception/README.html#instructions">Instructions</a></li> <li class="toctree-l2"><a class="reference internal" href="imagenet/inception/README.html#details">Details</a></li> </ul> </li> -<li class="toctree-l1"><a class="reference internal" href="imagenet/resnet/README.html">â></a></li> +<li class="toctree-l1"><a class="reference internal" href="imagenet/resnet/README.html">name: Resnets on ImageNet +SINGA version: 1.1 +SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f +parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz +license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</a></li> <li class="toctree-l1"><a class="reference internal" href="imagenet/resnet/README.html#image-classification-using-residual-networks">Image Classification using Residual Networks</a><ul> <li class="toctree-l2"><a class="reference internal" href="imagenet/resnet/README.html#instructions">Instructions</a></li> <li class="toctree-l2"><a class="reference internal" href="imagenet/resnet/README.html#details">Details</a></li> </ul> </li> -<li class="toctree-l1"><a class="reference internal" 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