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=1862313&r1=1862312&r2=1862313&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 Sat Jun 29 14:42:24 2019 @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -186,38 +185,39 @@ 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 + 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> - 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> +<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> <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><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> +<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> </ol> <div class="section" id="instructions"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <div class="section" id="singa-installation"> -<h3>SINGA installation<a class="headerlink" href="#singa-installation" title="Permalink to this headline">¶</a></h3> +<span id="singa-installation"></span><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"> -<h3>Data preparation<a class="headerlink" href="#data-preparation" title="Permalink to this headline">¶</a></h3> +<span id="data-preparation"></span><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"> -<h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3> +<span id="training"></span><h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3> <p>There are four training programs</p> <ol> -<li><p>train.py. The following command would train the VGG model using the python +<li><p class="first">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> @@ -244,23 +244,24 @@ argument</p> </pre></div> </div> </li> -<li><p>alexnet.cc. It trains the AlexNet model using the CPP APIs on a CudaGPU,</p> +<li><p class="first">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>alexnet-parallel.cc. It trains the AlexNet model using the CPP APIs on two CudaGPU devices. +<li><p class="first">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>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 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> </ol> </div> <div class="section" id="prediction"> -<h3>Prediction<a class="headerlink" href="#prediction" title="Permalink to this headline">¶</a></h3> +<span id="prediction"></span><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> @@ -288,7 +289,7 @@ 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> @@ -305,17 +306,36 @@ 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=1862313&r1=1862312&r2=1862313&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 Sat Jun 29 14:42:24 2019 @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -186,44 +185,45 @@ 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 - - http://www.apache.org/licenses/LICENSE-2.0 + 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> - 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> +<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> <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"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <div class="section" id="compile-singa"> -<h3>Compile SINGA<a class="headerlink" href="#compile-singa" title="Permalink to this headline">¶</a></h3> +<span id="compile-singa"></span><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"> -<h3>Data download<a class="headerlink" href="#data-download" title="Permalink to this headline">¶</a></h3> +<span id="data-download"></span><h3>Data download<a class="headerlink" href="#data-download" title="Permalink to this headline">¶</a></h3> <ul class="simple"> -<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 +<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 <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>.</p></li> +or from <a class="reference external" href="http://www.image-net.org/download-images";>Imagenet</a>.</li> </ul> </div> <div class="section" id="data-preprocessing"> -<h3>Data preprocessing<a class="headerlink" href="#data-preprocessing" title="Permalink to this headline">¶</a></h3> +<span id="data-preprocessing"></span><h3>Data preprocessing<a class="headerlink" href="#data-preprocessing" title="Permalink to this headline">¶</a></h3> <ul> -<li><p>Assuming you have downloaded the data and the list. +<li><p class="first">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>You can also change the parameters in <code class="docutils literal notranslate"><span class="pre">create_data.sh</span></code>.</p> +<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> <ul class="simple"> -<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> +<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> </ul> </li> </ul> </div> <div class="section" id="training"> -<h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3> +<span id="training"></span><h3>Training<a class="headerlink" href="#training" title="Permalink to this headline">¶</a></h3> <ul> -<li><p>After preparing data, you can run the following command to train the Alexnet model.</p> +<li><p class="first">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>You may change the parameters in <code class="docutils literal notranslate"><span class="pre">run.sh</span></code>.</p> +<li><p class="first">You may change the parameters in <code class="docutils literal notranslate"><span class="pre">run.sh</span></code>.</p> <ul class="simple"> -<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> +<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> </ul> </li> </ul> @@ -284,7 +284,7 @@ folder in data preprocessing step;</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> @@ -301,17 +301,36 @@ folder in data preprocessing step;</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/densenet/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/densenet/README.html?rev=1862313&r1=1862312&r2=1862313&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 Sat Jun 29 14:42:24 2019 @@ -9,7 +9,7 @@ <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>Image Classification using DenseNet — incubator-singa 1.1.0 documentation</title> + <title>â> — incubator-singa 1.1.0 documentation</title> @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -162,7 +161,7 @@ <li><a href="../../../../../index.html">Docs</a> »</li> - <li>Image Classification using DenseNet</li> + <li>â></li> <li class="wy-breadcrumbs-aside"> @@ -186,36 +185,44 @@ 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 + 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> - 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="image-classification-using-densenet"> -<h1>Image Classification using DenseNet<a class="headerlink" href="#image-classification-using-densenet" title="Permalink to this headline">¶</a></h1> +<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 +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</p> +</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> <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"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <ul> -<li><p>Download one parameter checkpoint file (see below) and the synset word file of ImageNet into this folder, e.g.,</p> +<li><p class="first">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>Usage</p> +<li><p class="first">Usage</p> <div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ python serve.py -h </pre></div> </div> </li> -<li><p>Example</p> +<li><p class="first">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 @@ -225,7 +232,7 @@ 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>Submit images for classification</p> +<li><p class="first">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 @@ -236,7 +243,7 @@ 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"> -<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2> +<span id="details"></span><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 @@ -256,7 +263,7 @@ 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> @@ -273,17 +280,36 @@ 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=1862313&r1=1862312&r2=1862313&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 Sat Jun 29 14:42:24 2019 @@ -9,7 +9,7 @@ <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>Image Classification using GoogleNet — incubator-singa 1.1.0 documentation</title> + <title>â> — incubator-singa 1.1.0 documentation</title> @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -162,7 +161,7 @@ <li><a href="../../../../../index.html">Docs</a> »</li> - <li>Image Classification using GoogleNet</li> + <li>â></li> <li class="wy-breadcrumbs-aside"> @@ -186,29 +185,39 @@ 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 + 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> - 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="image-classification-using-googlenet"> -<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. Tested on <a class="reference external" href="8c990f7da2de220e8a012c6a8ecc897dc7532744">SINGA commit</a> with <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz";>the parameters</a>.</p> +<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 +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> +</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> +<p>In this example, we convert GoogleNet trained on Caffe to SINGA for image classification.</p> <div class="section" id="instructions"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <ul> -<li><p>Download the parameter checkpoint file into this folder</p> +<li><p class="first">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>Run the program</p> +<li><p class="first">Run the program</p> <div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu $ python serve.py -C & # use gpu @@ -216,7 +225,7 @@ </pre></div> </div> </li> -<li><p>Submit images for classification</p> +<li><p class="first">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 @@ -227,7 +236,7 @@ <p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p> </div> <div class="section" id="details"> -<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2> +<span id="details"></span><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> @@ -270,7 +279,7 @@ 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> @@ -287,17 +296,36 @@ 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=1862313&r1=1862312&r2=1862313&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 Sat Jun 29 14:42:24 2019 @@ -9,7 +9,7 @@ <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>Image Classification using Inception V4 — incubator-singa 1.1.0 documentation</title> + <title>â> — incubator-singa 1.1.0 documentation</title> @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -162,7 +161,7 @@ <li><a href="../../../../../index.html">Docs</a> »</li> - <li>Image Classification using Inception V4</li> + <li>â></li> <li class="wy-breadcrumbs-aside"> @@ -186,30 +185,41 @@ 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 + 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> - 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="image-classification-using-inception-v4"> -<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. Tested on SINGA version 1.1.1 with <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz";>parameters pretrained by tensorflow</a>.</p> +<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 +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> +</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> +<p>In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification.</p> <div class="section" id="instructions"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <ul> -<li><p>Download the parameter checkpoint file</p> +<li><p class="first">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>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> +<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> <div class="highlight-default notranslate"><div class="highlight"><pre><span></span> # use cpu $ python serve.py -C & # use gpu @@ -217,7 +227,7 @@ </pre></div> </div> </li> -<li><p>Submit images for classification</p> +<li><p class="first">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 @@ -228,7 +238,7 @@ <p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p> </div> <div class="section" id="details"> -<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2> +<span id="details"></span><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 @@ -248,7 +258,7 @@ 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> @@ -265,17 +275,36 @@ 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/examples/imagenet/resnet/README.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/resnet/README.html?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/resnet/README.html (original) +++ incubator/singa/site/trunk/en/docs/model_zoo/examples/imagenet/resnet/README.html Sat Jun 29 14:42:24 2019 @@ -9,7 +9,7 @@ <meta name="viewport" content="width=device-width, initial-scale=1.0"> - <title>Image Classification using Residual Networks — incubator-singa 1.1.0 documentation</title> + <title>â> — incubator-singa 1.1.0 documentation</title> @@ -18,21 +18,15 @@ - <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" /> @@ -48,16 +42,21 @@ } </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"> @@ -162,7 +161,7 @@ <li><a href="../../../../../index.html">Docs</a> »</li> - <li>Image Classification using Residual Networks</li> + <li>â></li> <li class="wy-breadcrumbs-aside"> @@ -186,35 +185,44 @@ 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 + 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> - 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="image-classification-using-residual-networks"> -<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. Tested on [SINGA commit] with the <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz";>parameters pretrained by Torch</a></p> +<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 +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> +</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> +<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"> -<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> +<span id="instructions"></span><h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">¶</a></h2> <ul> -<li><p>Download one parameter checkpoint file (see below) and the synset word file of ImageNet into this folder, e.g.,</p> +<li><p class="first">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>Usage</p> +<li><p class="first">Usage</p> <div class="highlight-default notranslate"><div class="highlight"><pre><span></span> $ python serve.py -h </pre></div> </div> </li> -<li><p>Example</p> +<li><p class="first">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 @@ -223,13 +231,13 @@ </div> <p>The parameter files for the following model and depth configuration pairs are provided:</p> <ul class="simple"> -<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> +<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> </ul> </li> -<li><p>Submit images for classification</p> +<li><p class="first">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 @@ -240,7 +248,7 @@ <p>image1.jpg, image2.jpg and image3.jpg should be downloaded before executing the above commands.</p> </div> <div class="section" id="details"> -<h2>Details<a class="headerlink" href="#details" title="Permalink to this headline">¶</a></h2> +<span id="details"></span><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> @@ -261,7 +269,7 @@ 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> @@ -278,17 +286,36 @@ 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>
