Modified: incubator/singa/site/trunk/downloads.html URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/downloads.html?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/downloads.html (original) +++ incubator/singa/site/trunk/downloads.html Sat Jun 29 14:42:24 2019 @@ -37,7 +37,7 @@ <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="name: VGG models on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py"; href="docs/model_zoo/imagenet/vgg/README.html" /> + <link rel="prev" 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"; href="docs/model_zoo/imagenet/googlenet/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"> @@ -202,162 +202,162 @@ --><div class="section" id="download-singa"> <h1>Download SINGA<a class="headerlink" href="#download-singa" title="Permalink to this headline">¶</a></h1> <ul> -<li><p class="first">To verify the downloaded tar.gz file, download the KEY and ASC files and then execute the following commands</p> +<li><p>To verify the downloaded tar.gz file, download the <a class="reference external" href="https://www.apache.org/dist/incubator/singa/KEYS";>KEYS</a> and ASC files and then execute the following commands</p> <div class="highlight-default notranslate"><div class="highlight"><pre><span></span> <span class="o">%</span> <span class="n">gpg</span> <span class="o">--</span><span class="kn">import</span> <span class="nn">KEYS</span> <span class="o">%</span> <span class="n">gpg</span> <span class="o">--</span><span class="n">verify</span> <span class="n">downloaded_file</span><span class="o">.</span><span class="n">asc</span> <span class="n">downloaded_file</span> </pre></div> </div> <p>You can also check the SHA512 or MD5 values to see if the download is completed.</p> </li> -<li><p class="first">v2.0.0 (20 April 2019):</p> +<li><p>v2.0.0 (20 April 2019):</p> <ul class="simple"> -<li><a class="reference external" href="http://www.apache.org/dyn/closer.cgi/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz";>Apache SINGA 2.0.0</a> +<li><p><a class="reference external" href="http://www.apache.org/dyn/closer.cgi/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz";>Apache SINGA 2.0.0</a> <a class="reference external" href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512";>[SHA512]</a> -<a class="reference external" href="https://www.apache.org/dist/incubator/singa/2.0.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0</a></li> -<li>New features and major updates,<ul> -<li>Enhance autograd (for Convolution networks and recurrent networks)</li> -<li>Support ONNX</li> -<li>Improve the CPP operations via Intel MKL DNN lib</li> -<li>Implement tensor broadcasting</li> -<li>Move Docker images under Apache user name</li> -<li>Update depdent lib versions in conda-build config</li> +<a class="reference external" href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p>Enhance autograd (for Convolution networks and recurrent networks)</p></li> +<li><p>Support ONNX</p></li> +<li><p>Improve the CPP operations via Intel MKL DNN lib</p></li> +<li><p>Implement tensor broadcasting</p></li> +<li><p>Move Docker images under Apache user name</p></li> +<li><p>Update depdent lib versions in conda-build config</p></li> </ul> </li> </ul> </li> -<li><p class="first">v1.2.0 (6 June 2018):</p> +<li><p>v1.2.0 (6 June 2018):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz";>Apache SINGA 1.2.0</a> -<a class="reference external" href="https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512";>[SHA512]</a> -<a class="reference external" href="https://www.apache.org/dist/incubator/singa/1.2.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0</a></li> -<li>New features and major updates,<ul> -<li>Implement autograd (currently support MLP model)</li> -<li>Upgrade PySinga to support Python 3</li> -<li>Improve the Tensor class with the stride field</li> -<li>Upgrade cuDNN from V5 to V7</li> -<li>Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification</li> -<li>Create alias for conda packages</li> -<li>Complete documentation in Chinese</li> -<li>Add instructions for running Singa on Windows</li> -<li>Update the compilation, CI</li> -<li>Fix some bugs</li> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz";>Apache SINGA 1.2.0</a> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512";>[SHA512]</a> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p>Implement autograd (currently support MLP model)</p></li> +<li><p>Upgrade PySinga to support Python 3</p></li> +<li><p>Improve the Tensor class with the stride field</p></li> +<li><p>Upgrade cuDNN from V5 to V7</p></li> +<li><p>Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification</p></li> +<li><p>Create alias for conda packages</p></li> +<li><p>Complete documentation in Chinese</p></li> +<li><p>Add instructions for running Singa on Windows</p></li> +<li><p>Update the compilation, CI</p></li> +<li><p>Fix some bugs</p></li> </ul> </li> </ul> </li> -<li><p class="first">v1.1.0 (12 February 2017):</p> +<li><p>v1.1.0 (12 February 2017):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz";>Apache SINGA 1.1.0</a> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz";>Apache SINGA 1.1.0</a> <a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5";>[MD5]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0</a></li> -<li>New features and major updates,<ul> -<li>Create Docker images (CPU and GPU versions)</li> -<li>Create Amazon AMI for SINGA (CPU version)</li> -<li>Integrate with Jenkins for automatically generating Wheel and Debian packages (for installation), and updating the website.</li> -<li>Enhance the FeedFowardNet, e.g., multiple inputs and verbose mode for debugging</li> -<li>Add Concat and Slice layers</li> -<li>Extend CrossEntropyLoss to accept instance with multiple labels</li> -<li>Add image_tool.py with image augmentation methods</li> -<li>Support model loading and saving via the Snapshot API</li> -<li>Compile SINGA source on Windows</li> -<li>Compile mandatory dependent libraries together with SINGA code</li> -<li>Enable Java binding (basic) for SINGA</li> -<li>Add version ID in checkpointing files</li> -<li>Add Rafiki toolkit for providing RESTFul APIs</li> -<li>Add examples pretrained from Caffe, including GoogleNet</li> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p>Create Docker images (CPU and GPU versions)</p></li> +<li><p>Create Amazon AMI for SINGA (CPU version)</p></li> +<li><p>Integrate with Jenkins for automatically generating Wheel and Debian packages (for installation), and updating the website.</p></li> +<li><p>Enhance the FeedFowardNet, e.g., multiple inputs and verbose mode for debugging</p></li> +<li><p>Add Concat and Slice layers</p></li> +<li><p>Extend CrossEntropyLoss to accept instance with multiple labels</p></li> +<li><p>Add image_tool.py with image augmentation methods</p></li> +<li><p>Support model loading and saving via the Snapshot API</p></li> +<li><p>Compile SINGA source on Windows</p></li> +<li><p>Compile mandatory dependent libraries together with SINGA code</p></li> +<li><p>Enable Java binding (basic) for SINGA</p></li> +<li><p>Add version ID in checkpointing files</p></li> +<li><p>Add Rafiki toolkit for providing RESTFul APIs</p></li> +<li><p>Add examples pretrained from Caffe, including GoogleNet</p></li> </ul> </li> </ul> </li> -<li><p class="first">v1.0.0 (8 September 2016):</p> +<li><p>v1.0.0 (8 September 2016):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz";>Apache SINGA 1.0.0</a> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz";>Apache SINGA 1.0.0</a> <a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5";>[MD5]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa//1.0.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0</a></li> -<li>New features and major updates,<ul> -<li>Tensor abstraction for supporting more machine learning models.</li> -<li>Device abstraction for running on different hardware devices, including CPU, (Nvidia/AMD) GPU and FPGA (to be tested in later versions).</li> -<li>Replace GNU autotool with cmake for compilation.</li> -<li>Support Mac OS</li> -<li>Improve Python binding, including installation and programming</li> -<li>More deep learning models, including VGG and ResNet</li> -<li>More IO classes for reading/writing files and encoding/decoding data</li> -<li>New network communication components directly based on Socket.</li> -<li>Cudnn V5 with Dropout and RNN layers.</li> -<li>Replace website building tool from maven to Sphinx</li> -<li>Integrate Travis-CI</li> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p>Tensor abstraction for supporting more machine learning models.</p></li> +<li><p>Device abstraction for running on different hardware devices, including CPU, (Nvidia/AMD) GPU and FPGA (to be tested in later versions).</p></li> +<li><p>Replace GNU autotool with cmake for compilation.</p></li> +<li><p>Support Mac OS</p></li> +<li><p>Improve Python binding, including installation and programming</p></li> +<li><p>More deep learning models, including VGG and ResNet</p></li> +<li><p>More IO classes for reading/writing files and encoding/decoding data</p></li> +<li><p>New network communication components directly based on Socket.</p></li> +<li><p>Cudnn V5 with Dropout and RNN layers.</p></li> +<li><p>Replace website building tool from maven to Sphinx</p></li> +<li><p>Integrate Travis-CI</p></li> </ul> </li> </ul> </li> -<li><p class="first">v0.3.0 (20 April 2016):</p> +<li><p>v0.3.0 (20 April 2016):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz";>Apache SINGA 0.3.0</a> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz";>Apache SINGA 0.3.0</a> <a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5";>[MD5]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0</a></li> -<li>New features and major updates,<ul> -<li><a class="reference external" href="v0.3.0/gpu.html">Training on GPU cluster</a> enables training of deep learning models over a GPU cluster.</li> -<li><a class="reference external" href="v0.3.0/python.html">Python wrapper improvement</a> makes it easy to configure the job, including neural net and SGD algorithm.</li> -<li><a class="reference external" href="v0.3.0/updater.html">New SGD updaters</a> are added, including Adam, AdaDelta and AdaMax.</li> -<li><a class="reference external" href="v0.3.0/installation.html">Installation</a> has fewer dependent libraries for single node training.</li> -<li>Heterogeneous training with CPU and GPU.</li> -<li>Support cuDNN V4.</li> -<li>Data prefetching.</li> -<li>Fix some bugs.</li> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p><a class="reference external" href="v0.3.0/gpu.html">Training on GPU cluster</a> enables training of deep learning models over a GPU cluster.</p></li> +<li><p><a class="reference external" href="v0.3.0/python.html">Python wrapper improvement</a> makes it easy to configure the job, including neural net and SGD algorithm.</p></li> +<li><p><a class="reference external" href="v0.3.0/updater.html">New SGD updaters</a> are added, including Adam, AdaDelta and AdaMax.</p></li> +<li><p><a class="reference external" href="v0.3.0/installation.html">Installation</a> has fewer dependent libraries for single node training.</p></li> +<li><p>Heterogeneous training with CPU and GPU.</p></li> +<li><p>Support cuDNN V4.</p></li> +<li><p>Data prefetching.</p></li> +<li><p>Fix some bugs.</p></li> </ul> </li> </ul> </li> -<li><p class="first">v0.2.0 (14 January 2016):</p> +<li><p>v0.2.0 (14 January 2016):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz";>Apache SINGA 0.2.0</a> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz";>Apache SINGA 0.2.0</a> <a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5";>[MD5]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/KEYS";>[KEYS]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0</a></li> -<li>New features and major updates,<ul> -<li><a class="reference external" href="v0.2.0/gpu.html">Training on GPU</a> enables training of complex models on a single node with multiple GPU cards.</li> -<li><a class="reference external" href="v0.2.0/hybrid.html">Hybrid neural net partitioning</a> supports data and model parallelism at the same time.</li> -<li><a class="reference external" href="v0.2.0/python.html">Python wrapper</a> makes it easy to configure the job, including neural net and SGD algorithm.</li> -<li><a class="reference external" href="v0.2.0/general-rnn.html">RNN model and BPTT algorithm</a> are implemented to support applications based on RNN models, e.g., GRU.</li> -<li><a class="reference external" href="v0.2.0/distributed-training.html">Cloud software integration</a> includes Mesos, Docker and HDFS.</li> -<li>Visualization of neural net structure and layer information, which is helpful for debugging.</li> -<li>Linear algebra functions and random functions against Blobs and raw data pointers.</li> -<li>New layers, including SoftmaxLayer, ArgSortLayer, DummyLayer, RNN layers and cuDNN layers.</li> -<li>Update Layer class to carry multiple data/grad Blobs.</li> -<li>Extract features and test performance for new data by loading previously trained model parameters.</li> -<li>Add Store class for IO operations.</li> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0</a></p></li> +<li><p>New features and major updates,</p> +<ul> +<li><p><a class="reference external" href="v0.2.0/gpu.html">Training on GPU</a> enables training of complex models on a single node with multiple GPU cards.</p></li> +<li><p><a class="reference external" href="v0.2.0/hybrid.html">Hybrid neural net partitioning</a> supports data and model parallelism at the same time.</p></li> +<li><p><a class="reference external" href="v0.2.0/python.html">Python wrapper</a> makes it easy to configure the job, including neural net and SGD algorithm.</p></li> +<li><p><a class="reference external" href="v0.2.0/general-rnn.html">RNN model and BPTT algorithm</a> are implemented to support applications based on RNN models, e.g., GRU.</p></li> +<li><p><a class="reference external" href="v0.2.0/distributed-training.html">Cloud software integration</a> includes Mesos, Docker and HDFS.</p></li> +<li><p>Visualization of neural net structure and layer information, which is helpful for debugging.</p></li> +<li><p>Linear algebra functions and random functions against Blobs and raw data pointers.</p></li> +<li><p>New layers, including SoftmaxLayer, ArgSortLayer, DummyLayer, RNN layers and cuDNN layers.</p></li> +<li><p>Update Layer class to carry multiple data/grad Blobs.</p></li> +<li><p>Extract features and test performance for new data by loading previously trained model parameters.</p></li> +<li><p>Add Store class for IO operations.</p></li> </ul> </li> </ul> </li> -<li><p class="first">v0.1.0 (8 October 2015):</p> +<li><p>v0.1.0 (8 October 2015):</p> <ul class="simple"> -<li><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz";>Apache SINGA 0.1.0</a> +<li><p><a class="reference external" href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz";>Apache SINGA 0.1.0</a> <a class="reference external" href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5";>[MD5]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/KEYS";>[KEYS]</a> -<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc";>[ASC]</a></li> -<li><a class="reference external" href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6";>Amazon EC2 image</a></li> -<li><a class="reference external" href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0</a></li> -<li>Major features include,<ul> -<li>Installation using GNU build utility</li> -<li>Scripts for job management with zookeeper</li> -<li>Programming model based on NeuralNet and Layer abstractions.</li> -<li>System architecture based on Worker, Server and Stub.</li> -<li>Training models from three different model categories, namely, feed-forward models, energy models and RNN models.</li> -<li>Synchronous and asynchronous distributed training frameworks using CPU</li> -<li>Checkpoint and restore</li> -<li>Unit test using gtest</li> +<a class="reference external" href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc";>[ASC]</a></p></li> +<li><p><a class="reference external" href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6";>Amazon EC2 image</a></p></li> +<li><p><a class="reference external" href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0</a></p></li> +<li><p>Major features include,</p> +<ul> +<li><p>Installation using GNU build utility</p></li> +<li><p>Scripts for job management with zookeeper</p></li> +<li><p>Programming model based on NeuralNet and Layer abstractions.</p></li> +<li><p>System architecture based on Worker, Server and Stub.</p></li> +<li><p>Training models from three different model categories, namely, feed-forward models, energy models and RNN models.</p></li> +<li><p>Synchronous and asynchronous distributed training frameworks using CPU</p></li> +<li><p>Checkpoint and restore</p></li> +<li><p>Unit test using gtest</p></li> </ul> </li> </ul> @@ -385,7 +385,7 @@ ASF.</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="docs/model_zoo/imagenet/vgg/README.html" class="btn btn-neutral float-left" 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="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a> + <a href="docs/model_zoo/imagenet/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" 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Modified: incubator/singa/site/trunk/en/.buildinfo URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/.buildinfo?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/.buildinfo (original) +++ incubator/singa/site/trunk/en/.buildinfo Sat Jun 29 14:42:24 2019 @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 1499d409d023c2775f8afadba5faaacb +config: 0987bc70c27c8725489b483394845970 tags: 645f666f9bcd5a90fca523b33c5a78b7 Modified: incubator/singa/site/trunk/en/_sources/docs/index.rst.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/index.rst.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/index.rst.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/index.rst.txt Sat Jun 29 14:42:24 2019 @@ -23,7 +23,6 @@ Documentation installation software_stack - benchmark device tensor layer Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/caffe/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/caffe/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/caffe/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/caffe/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,3 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> # Use parameters pre-trained from Caffe in SINGA In this example, we use SINGA to load the VGG parameters trained by Caffe to do image classification. Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/char-rnn/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/char-rnn/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/char-rnn/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/char-rnn/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,3 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> # Train Char-RNN over plain text Recurrent neural networks (RNN) are widely used for modelling sequential data, @@ -48,3 +30,4 @@ Other plain text files can also be used. python sample.py 'model.bin' 100 --seed '#include <std' Please replace 'model.bin' with the path to one of the checkpoint paths. + Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/cifar10/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/cifar10/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/cifar10/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/cifar10/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,3 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> # Train CNN over Cifar-10 @@ -59,7 +41,7 @@ version of the Cifar-10 dataset in 'cifa python train.py vgg cifar-10-batches-py - To train other models, please replace 'vgg' to 'alexnet', 'resnet' or 'caffe', + To train other models, please replace 'vgg' to 'alexnet', 'resnet' or 'caffe', where 'caffe' refers to the alexnet model converted from Caffe. By default the training would run on a CudaGPU device, to run it on CppCPU, add an additional argument Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/densenet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/densenet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/densenet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/densenet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -16,7 +16,12 @@ specific language governing permissions and limitations under the License. --> - +--- +name: DenseNet models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py +--- # Image Classification using DenseNet Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/googlenet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/googlenet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/googlenet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/googlenet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -16,12 +16,19 @@ specific language governing permissions and limitations under the License. --> - +--- +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 +--- # Image Classification using GoogleNet -In this example, we convert GoogleNet trained on Caffe to SINGA for image classification. Tested on [SINGA commit](8c990f7da2de220e8a012c6a8ecc897dc7532744) with [the parameters](https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz). +In this example, we convert GoogleNet trained on Caffe to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/inception/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/inception/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/inception/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/inception/README.md.txt Sat Jun 29 14:42:24 2019 @@ -16,10 +16,18 @@ specific language governing permissions and limitations under the License. --> +--- +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 +--- # Image Classification using Inception V4 -In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. Tested on SINGA version 1.1.1 with [parameters pretrained by tensorflow](https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz). +In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/resnet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/resnet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/resnet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/resnet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -16,12 +16,18 @@ specific language governing permissions and limitations under the License. --> - +--- +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 +--- # Image Classification using Residual Networks -In this example, we convert Residual Networks trained on [Torch](https://github.com/facebook/fb.resnet.torch) to SINGA for image classification. Tested on [SINGA commit] with the [parameters pretrained by Torch](https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz) +In this example, we convert Residual Networks trained on [Torch](https://github.com/facebook/fb.resnet.torch) to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/vgg/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/vgg/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/vgg/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/examples/imagenet/vgg/README.md.txt Sat Jun 29 14:42:24 2019 @@ -16,6 +16,12 @@ specific language governing permissions and limitations under the License. --> +--- +name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py +--- # Image Classification using VGG Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/alexnet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/alexnet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/alexnet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/alexnet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,3 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> # Train AlexNet over ImageNet Convolution neural network (CNN) is a type of feed-forward neural Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/googlenet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/googlenet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/googlenet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/googlenet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,27 +1,16 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> - +--- +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 +--- # Image Classification using GoogleNet -In this example, we convert GoogleNet trained on Caffe to SINGA for image classification. Tested on [SINGA commit](8c990f7da2de220e8a012c6a8ecc897dc7532744) with [the parameters](https://s3-ap-southeast-1.amazonaws.com/dlfile/bvlc_googlenet.tar.gz). +In this example, we convert GoogleNet trained on Caffe to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/inception/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/inception/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/inception/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/inception/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,25 +1,15 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> +--- +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 +--- # Image Classification using Inception V4 -In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. Tested on SINGA version 1.1.1 with [parameters pretrained by tensorflow](https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz). +In this example, we convert Inception V4 trained on Tensorflow to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/resnet/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/resnet/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/resnet/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/resnet/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,27 +1,15 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> - +--- +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 +--- # Image Classification using Residual Networks -In this example, we convert Residual Networks trained on [Torch](https://github.com/facebook/fb.resnet.torch) to SINGA for image classification. Tested on [SINGA commit] with the [parameters pretrained by Torch](https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz) +In this example, we convert Residual Networks trained on [Torch](https://github.com/facebook/fb.resnet.torch) to SINGA for image classification. ## Instructions Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/vgg/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/vgg/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/vgg/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/imagenet/vgg/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,9 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> +--- +name: VGG models on ImageNet +SINGA version: 1.1.1 +SINGA commit: +license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py +--- # Image Classification using VGG @@ -38,9 +26,9 @@ to SINGA for image classification. * Example # use cpu - $ python serve.py --use_cpu --parameter_file vgg11.pickle --depth 11 & + $ python serve.py --use_cpu --parameter_file vgg11.pickle --depth 11 --use_cpu & # use gpu - $ python serve.py --parameter_file vgg11.pickle --depth 11 & + $ python serve.py --use_cpu --parameter_file vgg11.pickle --depth 11 & The parameter files for the following model and depth configuration pairs are provided: * Without batch-normalization, [11](https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11.tar.gz), [13](https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13.tar.gz), [16](https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16.tar.gz), [19](https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19.tar.gz) Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/index.rst.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/index.rst.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/index.rst.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/index.rst.txt Sat Jun 29 14:42:24 2019 @@ -23,11 +23,7 @@ Model Zoo cifar10/README char-rnn/README - mnist/README imagenet/alexnet/README - imagenet/densenet/README imagenet/googlenet/README - imagenet/inception/README - imagenet/resnet/README - imagenet/vgg/README + Modified: incubator/singa/site/trunk/en/_sources/docs/model_zoo/mnist/README.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/docs/model_zoo/mnist/README.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/docs/model_zoo/mnist/README.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/docs/model_zoo/mnist/README.md.txt Sat Jun 29 14:42:24 2019 @@ -1,21 +1,3 @@ -<!-- - Licensed to the Apache Software Foundation (ASF) under one - or more contributor license agreements. See the NOTICE file - distributed with this work for additional information - 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 - - 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. ---> # Train a RBM model against MNIST dataset This example is to train an RBM model using the Modified: incubator/singa/site/trunk/en/_sources/downloads.md.txt URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_sources/downloads.md.txt?rev=1862313&r1=1862312&r2=1862313&view=diff ============================================================================== --- incubator/singa/site/trunk/en/_sources/downloads.md.txt (original) +++ incubator/singa/site/trunk/en/_sources/downloads.md.txt Sat Jun 29 14:42:24 2019 @@ -18,7 +18,7 @@ --> ## Download SINGA -* To verify the downloaded tar.gz file, download the [KEYS](https://www.apache.org/dist/incubator/singa/KEYS) and ASC files and then execute the following commands +* To verify the downloaded tar.gz file, download the KEY and ASC files and then execute the following commands % gpg --import KEYS % gpg --verify downloaded_file.asc downloaded_file @@ -29,21 +29,23 @@ * v2.0.0 (20 April 2019): * [Apache SINGA 2.0.0](http://www.apache.org/dyn/closer.cgi/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz) [\[SHA512\]](https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512) + [\[KEYS\]](https://www.apache.org/dist/incubator/singa/2.0.0/KEYS) [\[ASC\]](https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.asc) * [Release Notes 2.0.0](releases/RELEASE_NOTES_2.0.0.html) * New features and major updates, - * Enhance autograd (for Convolution networks and recurrent networks) - * Support ONNX - * Improve the CPP operations via Intel MKL DNN lib - * Implement tensor broadcasting - * Move Docker images under Apache user name - * Update depdent lib versions in conda-build config + * Enhance autograd (for Convolution networks and recurrent networks) + * Support ONNX + * Improve the CPP operations via Intel MKL DNN lib + * Implement tensor broadcasting + * Move Docker images under Apache user name + * Update depdent lib versions in conda-build config * v1.2.0 (6 June 2018): * [Apache SINGA 1.2.0](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz) - [\[SHA512\]](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512) - [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc) + [\[SHA512\]](https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512) + [\[KEYS\]](https://www.apache.org/dist/incubator/singa/1.2.0/KEYS) + [\[ASC\]](https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc) * [Release Notes 1.2.0](releases/RELEASE_NOTES_1.2.0.html) * New features and major updates, * Implement autograd (currently support MLP model) @@ -62,6 +64,7 @@ * v1.1.0 (12 February 2017): * [Apache SINGA 1.1.0](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz) [\[MD5\]](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5) + [\[KEYS\]](https://archive.apache.org/dist/incubator/singa/1.1.0/KEYS) [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc) * [Release Notes 1.1.0](releases/RELEASE_NOTES_1.1.0.html) * New features and major updates, @@ -85,6 +88,7 @@ * v1.0.0 (8 September 2016): * [Apache SINGA 1.0.0](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz) [\[MD5\]](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5) + [\[KEYS\]](https://archive.apache.org/dist/incubator/singa//1.0.0/KEYS) [\[ASC\]](https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc) * [Release Notes 1.0.0](releases/RELEASE_NOTES_1.0.0.html) * New features and major updates, @@ -104,6 +108,7 @@ * v0.3.0 (20 April 2016): * [Apache SINGA 0.3.0](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz) [\[MD5\]](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5) + [\[KEYS\]](https://archive.apache.org/dist/incubator/singa/0.3.0/KEYS) [\[ASC\]](https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc) * [Release Notes 0.3.0](releases/RELEASE_NOTES_0.3.0.html) * New features and major updates, @@ -121,6 +126,7 @@ * v0.2.0 (14 January 2016): * [Apache SINGA 0.2.0](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz) [\[MD5\]](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5) + [\[KEYS\]](https://archive.apache.org/dist/incubator/singa/0.2.0/KEYS) [\[ASC\]](https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc) * [Release Notes 0.2.0](releases/RELEASE_NOTES_0.2.0.html) * New features and major updates, @@ -140,6 +146,7 @@ * v0.1.0 (8 October 2015): * [Apache SINGA 0.1.0](https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz) [\[MD5\]](https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5) + [\[KEYS\]](https://archive.apache.org/dist/incubator/singa/KEYS) [\[ASC\]](https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc) * [Amazon EC2 image](https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6) * [Release Notes 0.1.0](releases/RELEASE_NOTES_0.1.0.html) Added: incubator/singa/site/trunk/en/_static/ajax-loader.gif URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/en/_static/ajax-loader.gif?rev=1862313&view=auto ============================================================================== Binary file - 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:copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2018 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -87,13 +87,14 @@ jQuery.fn.highlightText = function(text, node.nextSibling)); node.nodeValue = val.substr(0, pos); if (isInSVG) { + var bbox = span.getBBox(); var rect = document.createElementNS("http://www.w3.org/2000/svg";, "rect"); - var bbox = node.parentElement.getBBox(); - rect.x.baseVal.value = bbox.x; + rect.x.baseVal.value = bbox.x; rect.y.baseVal.value = bbox.y; rect.width.baseVal.value = bbox.width; rect.height.baseVal.value = bbox.height; rect.setAttribute('class', className); + var parentOfText = node.parentNode.parentNode; addItems.push({ "parent": node.parentNode, "target": rect}); @@ -149,9 +150,7 @@ var Documentation = { this.fixFirefoxAnchorBug(); this.highlightSearchWords(); this.initIndexTable(); - if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { - this.initOnKeyListeners(); - } + }, 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