Merge pull request #11 from chrishkchris/rename Rename download-singa to downloads

commit: b06131f744d691d21cacad9cc902f4126056efc8 [log] [tgz]
author: Chris Yeung <38325429+chrishkchris@users.noreply.github.com> Sun Nov 22 14:15:49 2020 +0800
committer: GitHub <noreply@github.com> Sun Nov 22 14:15:49 2020 +0800
tree: 9feb7e441b01adc143d88eecbadb713e861a2ab9
parent: f12e6276f70d454d74e1b02747444cbdb4aa1287 [diff]
parent: 7b135b3346d1f811121ab0321ce6b7366cef6e8a [diff]
diff --git a/content/docs/2.0.0/download-singa/index.html b/content/docs/2.0.0/download-singa/index.html
deleted file mode 100644
index 42351fb..0000000
--- a/content/docs/2.0.0/download-singa/index.html
+++ /dev/null

@@ -1,224 +0,0 @@
-<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Download SINGA · Apache SINGA</title><meta name="viewport" content="width=device-width"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta name="docsearch:version" content="2.0.0"/><meta name="docsearch:language" content="en"/><meta property="og:title" content="Download SINGA · Apache SINGA"/><meta property="og:type" content="website"/><meta property="og:url" content="https://singa.apache.org/"/><meta property="og:description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta property="og:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><link rel="shortcut icon" href="/img/favicon.ico"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/atom-one-dark.min.css"/><link rel="alternate" type="application/atom+xml" href="https://singa.apache.org/blog/atom.xml" title="Apache SINGA Blog ATOM Feed"/><link rel="alternate" type="application/rss+xml" href="https://singa.apache.org/blog/feed.xml" title="Apache SINGA Blog RSS Feed"/><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="https://unpkg.com/vanilla-back-to-top@7.1.14/dist/vanilla-back-to-top.min.js"></script><script>
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-<h2><a class="anchor" aria-hidden="true" id="verify"></a><a href="#verify" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Verify</h2>
-<p>To verify the downloaded tar.gz file, download the <a href="https://www.apache.org/dist/incubator/singa/KEYS">KEYS</a> and ASC files and then execute the following commands</p>
-<pre><code class="hljs css language-shell"><span class="hljs-meta">%</span><span class="bash"> gpg --import KEYS</span>
-<span class="hljs-meta">%</span><span class="bash"> gpg --verify downloaded_file.asc downloaded_file</span>
-</code></pre>
-<p>You can also check the SHA512 or MD5 values to see if the download is completed.</p>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v200-20-april-2019"></a><a href="#incubating-v200-20-april-2019" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v2.0.0 (20 April 2019):</h2>
-<ul>
-<li><a 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 (incubating)</a> <a href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a> <a 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 href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v120-6-june-2018"></a><a href="#incubating-v120-6-june-2018" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.2.0 (6 June 2018):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz">Apache SINGA 1.2.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512">[SHA512]</a> <a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v110-12-february-2017"></a><a href="#incubating-v110-12-february-2017" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.1.0 (12 February 2017):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz">Apache SINGA 1.1.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5">[MD5]</a> <a 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 href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v100-8-september-2016"></a><a href="#incubating-v100-8-september-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.0.0 (8 September 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz">Apache SINGA 1.0.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5">[MD5]</a> <a 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 href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v030-20-april-2016"></a><a href="#incubating-v030-20-april-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.3.0 (20 April 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz">Apache SINGA 0.3.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5">[MD5]</a> <a 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 href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU cluster enables training of deep learning models over a GPU cluster.</li>
-<li>Python wrapper improvement makes it easy to configure the job, including neural net and SGD algorithm.</li>
-<li>New SGD updaters are added, including Adam, AdaDelta and AdaMax.</li>
-<li>Installation 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v020-14-january-2016"></a><a href="#incubating-v020-14-january-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.2.0 (14 January 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz">Apache SINGA 0.2.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5">[MD5]</a> <a 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 href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU enables training of complex models on a single node with multiple GPU cards.</li>
-<li>Hybrid neural net partitioning supports data and model parallelism at the same time.</li>
-<li>Python wrapper makes it easy to configure the job, including neural net and SGD algorithm.</li>
-<li>RNN model and BPTT algorithm are implemented to support applications based on RNN models, e.g., GRU.</li>
-<li>Cloud software integration 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v010-8-october-2015"></a><a href="#incubating-v010-8-october-2015" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.1.0 (8 October 2015):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz">Apache SINGA 0.1.0 (incubating)</a> <a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5">[MD5]</a> <a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6">Amazon EC2 image</a></li>
-<li><a href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<blockquote>
-<p><strong>Disclaimer</strong></p>
-<p>Apache SINGA is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the name of Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.</p>
-</blockquote>
-</span></div></article></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/2.0.0/model-zoo-imagenet-vgg"><span class="arrow-prev">← </span><span>Previous</span></a><a class="docs-next button" href="/docs/2.0.0/build"><span>Build SINGA from Source</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#verify">Verify</a></li><li><a href="#incubating-v200-20-april-2019">Incubating v2.0.0 (20 April 2019):</a></li><li><a href="#incubating-v120-6-june-2018">Incubating v1.2.0 (6 June 2018):</a></li><li><a href="#incubating-v110-12-february-2017">Incubating v1.1.0 (12 February 2017):</a></li><li><a href="#incubating-v100-8-september-2016">Incubating v1.0.0 (8 September 2016):</a></li><li><a href="#incubating-v030-20-april-2016">Incubating v0.3.0 (20 April 2016):</a></li><li><a href="#incubating-v020-14-january-2016">Incubating v0.2.0 (14 January 2016):</a></li><li><a href="#incubating-v010-8-october-2015">Incubating v0.1.0 (8 October 2015):</a></li></ul></nav></div><footer class="nav-footer" id="footer"><section class="sitemap"><a href="/" class="nav-home"><img src="/img/singa-logo-square.png" alt="Apache SINGA" width="66" height="58"/></a><div><h5>Docs</h5><a href="/docs/installation">Getting Started</a><a href="/docs/device">Guides</a><a href="/en/https://apache-singa.readthedocs.io/en/latest/">API Reference</a><a href="/docs/examples">Examples</a><a href="/docs/download-singa">Development</a></div><div><h5>Community</h5><a href="/en/users.html">User Showcase</a><a href="/docs/history-singa">SINGA History</a><a href="/docs/team-list">SINGA Team</a><a href="/blog">SINGA News</a><a href="https://github.com/apache/singa">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa" data-count-href="/apache/singa/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star this project on GitHub">apache/singa-doc</a></div><div class="social"><a href="https://twitter.com/ApacheSINGA" class="twitter-follow-button">Follow @ApacheSINGA</a></div></div><div><h5>Apache Software Foundation</h5><a href="https://apache.org/" target="_blank" rel="noreferrer noopener">Foundation</a><a href="http://www.apache.org/licenses/" target="_blank" rel="noreferrer noopener">License</a><a href="http://www.apache.org/foundation/sponsorship.html" target="_blank" rel="noreferrer noopener">Sponsorship</a><a href="http://www.apache.org/foundation/thanks.html" target="_blank" rel="noreferrer noopener">Thanks</a><a href="http://www.apache.org/events/current-event" target="_blank" rel="noreferrer noopener">Events</a><a href="http://www.apache.org/security/" target="_blank" rel="noreferrer noopener">Security</a></div></section><div style="width:100%;text-align:center"><a href="https://apache.org/" target="_blank" rel="noreferrer noopener" class="ApacheOpenSource"><img src="/img/asf_logo_wide.svg" alt="Apache Open Source"/></a><section class="copyright" style="max-width:60%;margin:0 auto">Copyright © 2020
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-<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Download SINGA · Apache SINGA</title><meta name="viewport" content="width=device-width"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta name="docsearch:version" content="3.0.0.rc1"/><meta name="docsearch:language" content="en"/><meta property="og:title" content="Download SINGA · Apache SINGA"/><meta property="og:type" content="website"/><meta property="og:url" content="https://singa.apache.org/"/><meta property="og:description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta property="og:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><link rel="shortcut icon" href="/img/favicon.ico"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/atom-one-dark.min.css"/><link rel="alternate" type="application/atom+xml" href="https://singa.apache.org/blog/atom.xml" title="Apache SINGA Blog ATOM Feed"/><link rel="alternate" type="application/rss+xml" href="https://singa.apache.org/blog/feed.xml" title="Apache SINGA Blog RSS Feed"/><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="https://unpkg.com/vanilla-back-to-top@7.1.14/dist/vanilla-back-to-top.min.js"></script><script>
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-<h2><a class="anchor" aria-hidden="true" id="verify"></a><a href="#verify" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Verify</h2>
-<p>To verify the downloaded tar.gz file, download the
-<a href="https://www.apache.org/dist/incubator/singa/KEYS">KEYS</a> and ASC files and then
-execute the following commands</p>
-<pre><code class="hljs css language-shell"><span class="hljs-meta">%</span><span class="bash"> gpg --import KEYS</span>
-<span class="hljs-meta">%</span><span class="bash"> gpg --verify downloaded_file.asc downloaded_file</span>
-</code></pre>
-<p>You can also check the SHA512 or MD5 values to see if the download is completed.</p>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v200-20-april-2019"></a><a href="#incubating-v200-20-april-2019" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v2.0.0 (20 April 2019):</h2>
-<ul>
-<li><a 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 (incubating)</a>
-<a href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a>
-<a 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 href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v120-6-june-2018"></a><a href="#incubating-v120-6-june-2018" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.2.0 (6 June 2018):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz">Apache SINGA 1.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v110-12-february-2017"></a><a href="#incubating-v110-12-february-2017" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.1.0 (12 February 2017):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz">Apache SINGA 1.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v100-8-september-2016"></a><a href="#incubating-v100-8-september-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.0.0 (8 September 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz">Apache SINGA 1.0.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v030-20-april-2016"></a><a href="#incubating-v030-20-april-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.3.0 (20 April 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz">Apache SINGA 0.3.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU cluster enables training of deep learning models over a GPU
-cluster.</li>
-<li>Python wrapper improvement makes it easy to configure the job, including
-neural net and SGD algorithm.</li>
-<li>New SGD updaters are added, including Adam, AdaDelta and AdaMax.</li>
-<li>Installation 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v020-14-january-2016"></a><a href="#incubating-v020-14-january-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.2.0 (14 January 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz">Apache SINGA 0.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU enables training of complex models on a single node with
-multiple GPU cards.</li>
-<li>Hybrid neural net partitioning supports data and model parallelism at the
-same time.</li>
-<li>Python wrapper makes it easy to configure the job, including neural net and
-SGD algorithm.</li>
-<li>RNN model and BPTT algorithm are implemented to support applications based
-on RNN models, e.g., GRU.</li>
-<li>Cloud software integration 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v010-8-october-2015"></a><a href="#incubating-v010-8-october-2015" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.1.0 (8 October 2015):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz">Apache SINGA 0.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5">[MD5]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6">Amazon EC2 image</a></li>
-<li><a href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<blockquote>
-<p><strong>Disclaimer</strong></p>
-<p>Apache SINGA is an effort undergoing incubation at The Apache Software
-Foundation (ASF), sponsored by the name of Apache Incubator PMC. Incubation is
-required of all newly accepted projects until a further review indicates that
-the infrastructure, communications, and decision making process have
-stabilized in a manner consistent with other successful ASF projects. While
-incubation status is not necessarily a reflection of the completeness or
-stability of the code, it does indicate that the project has yet to be fully
-endorsed by the ASF.</p>
-</blockquote>
-</span></div></article></div><div class="docLastUpdate"><em>Last updated on 02/04/2020</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/3.0.0.rc1/dist-train"><span class="arrow-prev">← </span><span>Distributed Training</span></a><a class="docs-next button" href="/docs/3.0.0.rc1/build"><span>Build SINGA from Source</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#verify">Verify</a></li><li><a href="#incubating-v200-20-april-2019">Incubating v2.0.0 (20 April 2019):</a></li><li><a href="#incubating-v120-6-june-2018">Incubating v1.2.0 (6 June 2018):</a></li><li><a href="#incubating-v110-12-february-2017">Incubating v1.1.0 (12 February 2017):</a></li><li><a href="#incubating-v100-8-september-2016">Incubating v1.0.0 (8 September 2016):</a></li><li><a href="#incubating-v030-20-april-2016">Incubating v0.3.0 (20 April 2016):</a></li><li><a href="#incubating-v020-14-january-2016">Incubating v0.2.0 (14 January 2016):</a></li><li><a href="#incubating-v010-8-october-2015">Incubating v0.1.0 (8 October 2015):</a></li></ul></nav></div><footer class="nav-footer" id="footer"><section class="sitemap"><a href="/" class="nav-home"><img src="/img/singa-logo-square.png" alt="Apache SINGA" width="66" height="58"/></a><div><h5>Docs</h5><a href="/docs/installation">Getting Started</a><a href="/docs/device">Guides</a><a href="/en/https://apache-singa.readthedocs.io/en/latest/">API Reference</a><a href="/docs/examples">Examples</a><a href="/docs/download-singa">Development</a></div><div><h5>Community</h5><a href="/en/users.html">User Showcase</a><a href="/docs/history-singa">SINGA History</a><a href="/docs/team-list">SINGA Team</a><a href="/blog">SINGA News</a><a href="https://github.com/apache/singa">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa" data-count-href="/apache/singa/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star this project on GitHub">apache/singa-doc</a></div><div class="social"><a href="https://twitter.com/ApacheSINGA" class="twitter-follow-button">Follow @ApacheSINGA</a></div></div><div><h5>Apache Software Foundation</h5><a href="https://apache.org/" target="_blank" rel="noreferrer noopener">Foundation</a><a href="http://www.apache.org/licenses/" target="_blank" rel="noreferrer noopener">License</a><a href="http://www.apache.org/foundation/sponsorship.html" target="_blank" rel="noreferrer noopener">Sponsorship</a><a href="http://www.apache.org/foundation/thanks.html" target="_blank" rel="noreferrer noopener">Thanks</a><a href="http://www.apache.org/events/current-event" target="_blank" rel="noreferrer noopener">Events</a><a href="http://www.apache.org/security/" target="_blank" rel="noreferrer noopener">Security</a></div></section><div style="width:100%;text-align:center"><a href="https://apache.org/" target="_blank" rel="noreferrer noopener" class="ApacheOpenSource"><img src="/img/asf_logo_wide.svg" alt="Apache Open Source"/></a><section class="copyright" style="max-width:60%;margin:0 auto">Copyright © 2020
-   The Apache Software Foundation. All rights reserved.
-   Apache SINGA, Apache, the Apache feather logo, and
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-<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Download SINGA · Apache SINGA</title><meta name="viewport" content="width=device-width"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta name="docsearch:version" content="3.0.0"/><meta name="docsearch:language" content="en"/><meta property="og:title" content="Download SINGA · Apache SINGA"/><meta property="og:type" content="website"/><meta property="og:url" content="https://singa.apache.org/"/><meta property="og:description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta property="og:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><link rel="shortcut icon" href="/img/favicon.ico"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/atom-one-dark.min.css"/><link rel="alternate" type="application/atom+xml" href="https://singa.apache.org/blog/atom.xml" title="Apache SINGA Blog ATOM Feed"/><link rel="alternate" type="application/rss+xml" href="https://singa.apache.org/blog/feed.xml" title="Apache SINGA Blog RSS Feed"/><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="https://unpkg.com/vanilla-back-to-top@7.1.14/dist/vanilla-back-to-top.min.js"></script><script>
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-        </script><script src="/js/scrollSpy.js"></script><link rel="stylesheet" href="/css/main.css"/><script src="/js/codetabs.js"></script></head><body class="sideNavVisible separateOnPageNav"><div class="fixedHeaderContainer"><div class="headerWrapper wrapper"><header><a href="/"><img class="logo" src="/img/singa.png" alt="Apache SINGA"/></a><a href="/versions"><h3>3.0.0</h3></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class="siteNavGroupActive"><a href="/docs/3.0.0/installation" target="_self">Docs</a></li><li class=""><a href="/docs/3.0.0/source-repository" target="_self">Community</a></li><li class=""><a href="/blog/" target="_self">News</a></li><li class=""><a href="https://apache-singa.readthedocs.io/en/latest/" target="_self">API</a></li><li class="navSearchWrapper reactNavSearchWrapper"><input type="text" id="search_input_react" placeholder="Search" title="Search"/></li><li class=""><a href="https://github.com/apache/singa" target="_self">GitHub</a></li></ul></nav></div></header></div></div><div class="navPusher"><div class="docMainWrapper wrapper"><div class="docsNavContainer" id="docsNav"><nav class="toc"><div class="toggleNav"><section class="navWrapper wrapper"><div class="navBreadcrumb wrapper"><div class="navToggle" id="navToggler"><div class="hamburger-menu"><div class="line1"></div><div class="line2"></div><div class="line3"></div></div></div><h2><i>›</i><span>Development</span></h2><div class="tocToggler" id="tocToggler"><i class="icon-toc"></i></div></div><div class="navGroups"><div class="navGroup"><h3 class="navGroupCategoryTitle">Getting Started</h3><ul class=""><li class="navListItem"><a class="navItem" href="/docs/3.0.0/installation">Installation</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/software-stack">Software Stack</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/examples">Examples</a></li></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle">Guides</h3><ul class=""><li class="navListItem"><a class="navItem" href="/docs/3.0.0/device">Device</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/tensor">Tensor</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/autograd">Autograd</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/graph">Computational Graph</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/onnx">ONNX</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/dist-train">Distributed Training</a></li></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle">Development</h3><ul class=""><li class="navListItem navListItemActive"><a class="navItem" href="/docs/3.0.0/download-singa">Download SINGA</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/build">Build SINGA from Source</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/contribute-code">How to Contribute Code</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/contribute-docs">How to Contribute to Documentation</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/how-to-release">How to Prepare a Release</a></li><li class="navListItem"><a class="navItem" href="/docs/3.0.0/git-workflow">Git Workflow</a></li></ul></div></div></section></div><script>
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-<h2><a class="anchor" aria-hidden="true" id="verify"></a><a href="#verify" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Verify</h2>
-<p>To verify the downloaded tar.gz file, download the
-<a href="https://www.apache.org/dist/singa/KEYS">KEYS</a> and ASC files and then execute
-the following commands</p>
-<pre><code class="hljs css language-shell"><span class="hljs-meta">%</span><span class="bash"> gpg --import KEYS</span>
-<span class="hljs-meta">%</span><span class="bash"> gpg --verify downloaded_file.asc downloaded_file</span>
-</code></pre>
-<p>You can also check the SHA512 or MD5 values to see if the download is completed.</p>
-<h2><a class="anchor" aria-hidden="true" id="v300-18-april-2020"></a><a href="#v300-18-april-2020" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>V3.0.0 (18 April 2020):</h2>
-<ul>
-<li><a href="http://www.apache.org/dyn/closer.cgi/singa/3.0.0/apache-singa-3.0.0.tar.gz">Apache SINGA 3.0.0</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_3.0.0">Release Notes 3.0.0</a></li>
-<li>New features and major changes,
-<ul>
-<li>Enhanced ONNX. Multiple ONNX models have been tested in SINGA.</li>
-<li>Distributed training with MPI and NCCL Communication optimization through
-gradient sparsification and compression, and chunk transmission.</li>
-<li>Computational graph construction and optimization for speed and memory using
-the graph.</li>
-<li>New documentation website (singa.apache.org) and API reference website
-(apache-singa.rtfd.io).</li>
-<li>CI for code quality check.</li>
-<li>Replace MKLDNN with DNNL</li>
-<li>Update tensor APIs to support broadcasting operations.</li>
-<li>New autograd operators to support ONNX models.</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v200-20-april-2019"></a><a href="#incubating-v200-20-april-2019" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v2.0.0 (20 April 2019):</h2>
-<ul>
-<li><a 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 (incubating)</a>
-<a href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a>
-<a 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 href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0 (incubating)</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 dependent lib versions in conda-build config</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v120-6-june-2018"></a><a href="#incubating-v120-6-june-2018" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.2.0 (6 June 2018):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz">Apache SINGA 1.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v110-12-february-2017"></a><a href="#incubating-v110-12-february-2017" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.1.0 (12 February 2017):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz">Apache SINGA 1.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v100-8-september-2016"></a><a href="#incubating-v100-8-september-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.0.0 (8 September 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz">Apache SINGA 1.0.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v030-20-april-2016"></a><a href="#incubating-v030-20-april-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.3.0 (20 April 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz">Apache SINGA 0.3.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU cluster enables training of deep learning models over a GPU
-cluster.</li>
-<li>Python wrapper improvement makes it easy to configure the job, including
-neural net and SGD algorithm.</li>
-<li>New SGD updaters are added, including Adam, AdaDelta and AdaMax.</li>
-<li>Installation 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v020-14-january-2016"></a><a href="#incubating-v020-14-january-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.2.0 (14 January 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz">Apache SINGA 0.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU enables training of complex models on a single node with
-multiple GPU cards.</li>
-<li>Hybrid neural net partitioning supports data and model parallelism at the
-same time.</li>
-<li>Python wrapper makes it easy to configure the job, including neural net and
-SGD algorithm.</li>
-<li>RNN model and BPTT algorithm are implemented to support applications based
-on RNN models, e.g., GRU.</li>
-<li>Cloud software integration 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v010-8-october-2015"></a><a href="#incubating-v010-8-october-2015" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.1.0 (8 October 2015):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz">Apache SINGA 0.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5">[MD5]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6">Amazon EC2 image</a></li>
-<li><a href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0 (incubating)</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>
-</ul></li>
-</ul>
-</span></div></article></div><div class="docLastUpdate"><em>Last updated on 19/04/2020</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/3.0.0/dist-train"><span class="arrow-prev">← </span><span>Distributed Training</span></a><a class="docs-next button" href="/docs/3.0.0/build"><span>Build SINGA from Source</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#verify">Verify</a></li><li><a href="#v300-18-april-2020">V3.0.0 (18 April 2020):</a></li><li><a href="#incubating-v200-20-april-2019">Incubating v2.0.0 (20 April 2019):</a></li><li><a href="#incubating-v120-6-june-2018">Incubating v1.2.0 (6 June 2018):</a></li><li><a href="#incubating-v110-12-february-2017">Incubating v1.1.0 (12 February 2017):</a></li><li><a href="#incubating-v100-8-september-2016">Incubating v1.0.0 (8 September 2016):</a></li><li><a href="#incubating-v030-20-april-2016">Incubating v0.3.0 (20 April 2016):</a></li><li><a href="#incubating-v020-14-january-2016">Incubating v0.2.0 (14 January 2016):</a></li><li><a href="#incubating-v010-8-october-2015">Incubating v0.1.0 (8 October 2015):</a></li></ul></nav></div><footer class="nav-footer" id="footer"><section class="sitemap"><a href="/" class="nav-home"><img src="/img/singa-logo-square.png" alt="Apache SINGA" width="66" height="58"/></a><div><h5>Docs</h5><a href="/docs/installation">Getting Started</a><a href="/docs/device">Guides</a><a href="/en/https://apache-singa.readthedocs.io/en/latest/">API Reference</a><a href="/docs/examples">Examples</a><a href="/docs/download-singa">Development</a></div><div><h5>Community</h5><a href="/en/users.html">User Showcase</a><a href="/docs/history-singa">SINGA History</a><a href="/docs/team-list">SINGA Team</a><a href="/blog">SINGA News</a><a href="https://github.com/apache/singa">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa" data-count-href="/apache/singa/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star this project on GitHub">apache/singa-doc</a></div><div class="social"><a href="https://twitter.com/ApacheSINGA" class="twitter-follow-button">Follow @ApacheSINGA</a></div></div><div><h5>Apache Software Foundation</h5><a href="https://apache.org/" target="_blank" rel="noreferrer noopener">Foundation</a><a href="http://www.apache.org/licenses/" target="_blank" rel="noreferrer noopener">License</a><a href="http://www.apache.org/foundation/sponsorship.html" target="_blank" rel="noreferrer noopener">Sponsorship</a><a href="http://www.apache.org/foundation/thanks.html" target="_blank" rel="noreferrer noopener">Thanks</a><a href="http://www.apache.org/events/current-event" target="_blank" rel="noreferrer noopener">Events</a><a href="http://www.apache.org/security/" target="_blank" rel="noreferrer noopener">Security</a></div></section><div style="width:100%;text-align:center"><a href="https://apache.org/" target="_blank" rel="noreferrer noopener" class="ApacheOpenSource"><img src="/img/asf_logo_wide.svg" alt="Apache Open Source"/></a><section class="copyright" style="max-width:60%;margin:0 auto">Copyright © 2020
-   The Apache Software Foundation. All rights reserved.
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-<h2><a class="anchor" aria-hidden="true" id="verify"></a><a href="#verify" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Verify</h2>
-<p>要验证下载的tar.gz文件，下载<a href="https://www.apache.org/dist/singa/KEYS">KEYS</a>和ASC文件，然后执行以下命令:</p>
-<pre><code class="hljs css language-shell"><span class="hljs-meta">%</span><span class="bash"> gpg --import KEYS</span>
-<span class="hljs-meta">%</span><span class="bash"> gpg --verify downloaded_file.asc downloaded_file</span>
-</code></pre>
-<p>你也可以检查SHA512或MD5值判断下载是否完成。</p>
-<h2><a class="anchor" aria-hidden="true" id="v300-18-april-2020"></a><a href="#v300-18-april-2020" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>V3.0.0 (18 April 2020):</h2>
-<ul>
-<li><a href="http://www.apache.org/dyn/closer.cgi/singa/3.0.0/apache-singa-3.0.0.tar.gz">Apache SINGA 3.0.0</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_3.0.0">Release Notes 3.0.0</a></li>
-<li>新特性及重要更新：
-<ul>
-<li>增强了ONNX。在SINGA中测试了多种ONNX模型。</li>
-<li>使用 MPI 和 NCCL Communication进行分布式训练，通过梯度稀疏化和压缩以及分块传输进行了优化。</li>
-<li>计算图的构建，利用图优化了速度和内存。</li>
-<li>新的文档网站（singa.apache.org）和API参考网站（apache-singa.rtfd.io）。</li>
-<li>使用CI实现代码质量检查。</li>
-<li>将MKLDNN替换为DNNL。</li>
-<li>更新Tensor API以支持广播操作。</li>
-<li>实现了支持ONNX模型的新的autograd操作符。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v200-20-april-2019"></a><a href="#孵化版本（incubating）-v200-20-april-2019" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v2.0.0 (20 April 2019):</h2>
-<ul>
-<li><a 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 (incubating)</a>
-<a href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a>
-<a 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 href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0 (incubating)</a></li>
-<li>新特性及重要更新：
-<ul>
-<li>增强了autograd功能(适用于卷积网络和循环网络)。</li>
-<li>支持ONNX。</li>
-<li>通过英特尔MKL DNN lib改进CPP操作。</li>
-<li>实现tensor广播。</li>
-<li>在Apache用户名下移动Docker镜像。</li>
-<li>更新conda-build配置中依赖的lib版本。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v120-6-june-2018"></a><a href="#孵化版本（incubating）-v120-6-june-2018" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v1.2.0 (6 June 2018):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz">Apache SINGA 1.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0 (incubating)</a></li>
-<li>新特性及重要更新：
-<ul>
-<li>实现了autograd（目前支持MLP模式）。</li>
-<li>升级PySinga以支持Python 3</li>
-<li>改进Tensor类的stride范围。</li>
-<li>将cuDNN从V5升级到V7。</li>
-<li>增加VGG、Inception V4、ResNet和DenseNet进行ImageNet分类。</li>
-<li>为conda包创建别名</li>
-<li>完整的中文文档</li>
-<li>添加在Windows上运行Singa的说明</li>
-<li>更新编译，CI</li>
-<li>修复一些错误</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v110-12-february-2017"></a><a href="#孵化版本（incubating）-v110-12-february-2017" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v1.1.0 (12 February 2017):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz">Apache SINGA 1.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0 (incubating)</a></li>
-<li>新特性和重要更新：
-<ul>
-<li>创建Docker镜像(CPU和GPU版本)</li>
-<li>为SINGA创建Amazon AMI（CPU版）。</li>
-<li>集成Jenkins，自动生成Wheel和Debian包（用于安装），并更新网站。</li>
-<li>增强FeedFowardNet，例如，多输入和用于调试的verbose模式。</li>
-<li>添加Concat和Slice层。</li>
-<li>优化CrossEntropyLoss以接受带有多个标签的实例。</li>
-<li>添加包含图像增强方法的image_tool.py。</li>
-<li>支持通过快照API加载和保存模型。</li>
-<li>在Windows上编译SINGA源代码。</li>
-<li>将必要依赖库与SINGA代码一起编译。</li>
-<li>为SINGA启用Java binding（基本）。</li>
-<li>在checkpoint文件中添加版本ID。</li>
-<li>增加Rafiki工具包以提供RESTFul APIs。</li>
-<li>添加了从Caffe预训练的例子，包括GoogleNet。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v100-8-september-2016"></a><a href="#孵化版本（incubating）-v100-8-september-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v1.0.0 (8 September 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz">Apache SINGA 1.0.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0 (incubating)</a></li>
-<li>新特性和重要更新：
-<ul>
-<li>创建Tensor概念，用于支持更多的机器学习模型。</li>
-<li>创建Device概念，用于运行在不同的硬件设备上，包括CPU，(Nvidia/AMD) GPU 和 FPGA (将在以后的版本中测试)。</li>
-<li>用 cmake 取代 GNU autotool 进行编译。</li>
-<li>支持 Mac OS。</li>
-<li>改进Python binding，包括安装和编程。</li>
-<li>更多的深度学习模型，包括VGG和ResNet。</li>
-<li>更多的IO类用于读取/写入文件和编码/解码数据。</li>
-<li>直接基于Socket的新网络通信组件。</li>
-<li>Cudnn V5，包含Dropout和RNN层。</li>
-<li>将网页构建工具从maven更换为Sphinx。</li>
-<li>整合Travis-CI。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v030-20-april-2016"></a><a href="#孵化版本（incubating）-v030-20-april-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v0.3.0 (20 April 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz">Apache SINGA 0.3.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0 (incubating)</a></li>
-<li>新特性和重要更新：
-<ul>
-<li>在GPU集群上进行训练，可以在GPU集群上进行深度学习模型的训练。</li>
-<li>改进Python wrapper简化配置工作，包括神经网络和SGD算法。</li>
-<li>新增SGD更新器，包括Adam、AdaDelta和AdaMax。</li>
-<li>安装时减少了单节点训练的依赖库。</li>
-<li>使用CPU和GPU进行异构训练。</li>
-<li>支持 cuDNN V4。</li>
-<li>数据预取。</li>
-<li>修复一些bug。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="孵化版本（incubating）-v020-14-january-2016"></a><a href="#孵化版本（incubating）-v020-14-january-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>孵化版本（incubating） v0.2.0 (14 January 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz">Apache SINGA 0.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0 (incubating)</a></li>
-<li>新特性和重要更新：
-<ul>
-<li>在GPU上进行训练，可以在一个节点上用多个GPU卡训练复杂的模型。</li>
-<li>混合神经网分区支持数据和模型同时并行。</li>
-<li>Python wrapper简化配置，包括神经网络和SGD算法。</li>
-<li>实现了RNN模型和BPTT算法，支持基于RNN模型的应用，如GRU。</li>
-<li>云软件集成，包括Mesos、Docker和HDFS。</li>
-<li>可视化神经网结构和层信息，以便优化调试。</li>
-<li>针对Blobs和原始数据指针的线性代数函数和随机函数。</li>
-<li>添加新的层，包括SoftmaxLayer、ArgSortLayer、DummyLayer、RNN层和cuDNN层。</li>
-<li>更新Layer类以携带多个数据/梯度Blobs。</li>
-<li>通过加载之前训练的模型参数，提取特征并测试新数据的性能。</li>
-<li>为IO操作添加Store类。</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v010-8-october-2015"></a><a href="#incubating-v010-8-october-2015" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.1.0 (8 October 2015):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz">Apache SINGA 0.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5">[MD5]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6">Amazon EC2 image</a></li>
-<li><a href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0 (incubating)</a></li>
-<li>新特性和重要更新：
-<ul>
-<li>允许使用GNU构建工具进行安装。</li>
-<li>实现用zookeeper进行工作管理的脚本。</li>
-<li>实现基于NeuralNet和Layer的编程模型。</li>
-<li>实现基于Worker、Server和Stub的系统架构。</li>
-<li>训练模型来自三种不同的模型类别，即前馈模型、能量模型和RNN模型。</li>
-<li>使用CPU的同步和异步分布式训练框架。</li>
-<li>checkpoint文件生成和恢复。</li>
-<li>使用gtest进行单元测试。</li>
-</ul></li>
-</ul>
-</span></div></article></div><div class="docLastUpdate"><em>Last updated on 09/11/2020</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/3.1.0_Chinese/time-profiling"><span class="arrow-prev">← </span><span>Time Profiling</span></a><a class="docs-next button" href="/docs/3.1.0_Chinese/build"><span>Build SINGA from Source</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#verify">Verify</a></li><li><a href="#v300-18-april-2020">V3.0.0 (18 April 2020):</a></li><li><a href="#孵化版本（incubating）-v200-20-april-2019">孵化版本（incubating） v2.0.0 (20 April 2019):</a></li><li><a href="#孵化版本（incubating）-v120-6-june-2018">孵化版本（incubating） v1.2.0 (6 June 2018):</a></li><li><a href="#孵化版本（incubating）-v110-12-february-2017">孵化版本（incubating） v1.1.0 (12 February 2017):</a></li><li><a href="#孵化版本（incubating）-v100-8-september-2016">孵化版本（incubating） v1.0.0 (8 September 2016):</a></li><li><a href="#孵化版本（incubating）-v030-20-april-2016">孵化版本（incubating） v0.3.0 (20 April 2016):</a></li><li><a href="#孵化版本（incubating）-v020-14-january-2016">孵化版本（incubating） v0.2.0 (14 January 2016):</a></li><li><a href="#incubating-v010-8-october-2015">Incubating v0.1.0 (8 October 2015):</a></li></ul></nav></div><footer class="nav-footer" id="footer"><section class="sitemap"><a href="/" class="nav-home"><img src="/img/singa-logo-square.png" alt="Apache SINGA" width="66" height="58"/></a><div><h5>Docs</h5><a href="/docs/installation">Getting Started</a><a href="/docs/device">Guides</a><a href="/en/https://apache-singa.readthedocs.io/en/latest/">API Reference</a><a href="/docs/examples">Examples</a><a href="/docs/download-singa">Development</a></div><div><h5>Community</h5><a href="/en/users.html">User Showcase</a><a href="/docs/history-singa">SINGA History</a><a href="/docs/team-list">SINGA Team</a><a href="/blog">SINGA News</a><a href="https://github.com/apache/singa">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa" data-count-href="/apache/singa/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star this project on GitHub">apache/singa-doc</a></div><div class="social"><a href="https://twitter.com/ApacheSINGA" class="twitter-follow-button">Follow @ApacheSINGA</a></div></div><div><h5>Apache Software Foundation</h5><a href="https://apache.org/" target="_blank" rel="noreferrer noopener">Foundation</a><a href="http://www.apache.org/licenses/" target="_blank" rel="noreferrer noopener">License</a><a href="http://www.apache.org/foundation/sponsorship.html" target="_blank" rel="noreferrer noopener">Sponsorship</a><a href="http://www.apache.org/foundation/thanks.html" target="_blank" rel="noreferrer noopener">Thanks</a><a href="http://www.apache.org/events/current-event" target="_blank" rel="noreferrer noopener">Events</a><a href="http://www.apache.org/security/" target="_blank" rel="noreferrer noopener">Security</a></div></section><div style="width:100%;text-align:center"><a href="https://apache.org/" target="_blank" rel="noreferrer noopener" class="ApacheOpenSource"><img src="/img/asf_logo_wide.svg" alt="Apache Open Source"/></a><section class="copyright" style="max-width:60%;margin:0 auto">Copyright © 2020
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-   Apache SINGA, Apache, the Apache feather logo, and
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-<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Download SINGA · Apache SINGA</title><meta name="viewport" content="width=device-width"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta name="docsearch:version" content="3.1.0"/><meta name="docsearch:language" content="en"/><meta property="og:title" content="Download SINGA · Apache SINGA"/><meta property="og:type" content="website"/><meta property="og:url" content="https://singa.apache.org/"/><meta property="og:description" content="&lt;!--- 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 &quot;License&quot;); 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 &quot;AS IS&quot; 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.  --&gt;"/><meta property="og:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><link rel="shortcut icon" href="/img/favicon.ico"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/atom-one-dark.min.css"/><link rel="alternate" type="application/atom+xml" href="https://singa.apache.org/blog/atom.xml" title="Apache SINGA Blog ATOM Feed"/><link rel="alternate" type="application/rss+xml" href="https://singa.apache.org/blog/feed.xml" title="Apache SINGA Blog RSS Feed"/><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="https://unpkg.com/vanilla-back-to-top@7.1.14/dist/vanilla-back-to-top.min.js"></script><script>
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-<h2><a class="anchor" aria-hidden="true" id="verify"></a><a href="#verify" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Verify</h2>
-<p>To verify the downloaded tar.gz file, download the
-<a href="https://www.apache.org/dist/singa/KEYS">KEYS</a> and ASC files and then execute
-the following commands</p>
-<pre><code class="hljs css language-shell"><span class="hljs-meta">%</span><span class="bash"> gpg --import KEYS</span>
-<span class="hljs-meta">%</span><span class="bash"> gpg --verify downloaded_file.asc downloaded_file</span>
-</code></pre>
-<p>You can also check the SHA512 or MD5 values to see if the download is completed.</p>
-<h2><a class="anchor" aria-hidden="true" id="v300-18-april-2020"></a><a href="#v300-18-april-2020" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>V3.0.0 (18 April 2020):</h2>
-<ul>
-<li><a href="http://www.apache.org/dyn/closer.cgi/singa/3.0.0/apache-singa-3.0.0.tar.gz">Apache SINGA 3.0.0</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://www.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_3.0.0">Release Notes 3.0.0</a></li>
-<li>New features and major changes,
-<ul>
-<li>Enhanced ONNX. Multiple ONNX models have been tested in SINGA.</li>
-<li>Distributed training with MPI and NCCL Communication optimization through
-gradient sparsification and compression, and chunk transmission.</li>
-<li>Computational graph construction and optimization for speed and memory using
-the graph.</li>
-<li>New documentation website (singa.apache.org) and API reference website
-(apache-singa.rtfd.io).</li>
-<li>CI for code quality check.</li>
-<li>Replace MKLDNN with DNNL</li>
-<li>Update tensor APIs to support broadcasting operations.</li>
-<li>New autograd operators to support ONNX models.</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v200-20-april-2019"></a><a href="#incubating-v200-20-april-2019" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v2.0.0 (20 April 2019):</h2>
-<ul>
-<li><a 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 (incubating)</a>
-<a href="https://www.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a>
-<a 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 href="releases/RELEASE_NOTES_2.0.0.html">Release Notes 2.0.0 (incubating)</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 dependent lib versions in conda-build config</li>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v120-6-june-2018"></a><a href="#incubating-v120-6-june-2018" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.2.0 (6 June 2018):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz">Apache SINGA 1.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512">[SHA512]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="releases/RELEASE_NOTES_1.2.0.html">Release Notes 1.2.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v110-12-february-2017"></a><a href="#incubating-v110-12-february-2017" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.1.0 (12 February 2017):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz">Apache SINGA 1.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.1.0.html">Release Notes 1.1.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v100-8-september-2016"></a><a href="#incubating-v100-8-september-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v1.0.0 (8 September 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz">Apache SINGA 1.0.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_1.0.0.html">Release Notes 1.0.0 (incubating)</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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v030-20-april-2016"></a><a href="#incubating-v030-20-april-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.3.0 (20 April 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz">Apache SINGA 0.3.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.3.0.html">Release Notes 0.3.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU cluster enables training of deep learning models over a GPU
-cluster.</li>
-<li>Python wrapper improvement makes it easy to configure the job, including
-neural net and SGD algorithm.</li>
-<li>New SGD updaters are added, including Adam, AdaDelta and AdaMax.</li>
-<li>Installation 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v020-14-january-2016"></a><a href="#incubating-v020-14-january-2016" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.2.0 (14 January 2016):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz">Apache SINGA 0.2.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5">[MD5]</a>
-<a 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 href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0 (incubating)</a></li>
-<li>New features and major updates,
-<ul>
-<li>Training on GPU enables training of complex models on a single node with
-multiple GPU cards.</li>
-<li>Hybrid neural net partitioning supports data and model parallelism at the
-same time.</li>
-<li>Python wrapper makes it easy to configure the job, including neural net and
-SGD algorithm.</li>
-<li>RNN model and BPTT algorithm are implemented to support applications based
-on RNN models, e.g., GRU.</li>
-<li>Cloud software integration 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>
-</ul></li>
-</ul>
-<h2><a class="anchor" aria-hidden="true" id="incubating-v010-8-october-2015"></a><a href="#incubating-v010-8-october-2015" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Incubating v0.1.0 (8 October 2015):</h2>
-<ul>
-<li><a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz">Apache SINGA 0.1.0 (incubating)</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5">[MD5]</a>
-<a href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc">[ASC]</a></li>
-<li><a href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6">Amazon EC2 image</a></li>
-<li><a href="releases/RELEASE_NOTES_0.1.0.html">Release Notes 0.1.0 (incubating)</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>
-</ul></li>
-</ul>
-</span></div></article></div><div class="docLastUpdate"><em>Last updated on 19/04/2020</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/time-profiling"><span class="arrow-prev">← </span><span>Time Profiling</span></a><a class="docs-next button" href="/docs/build"><span>Build SINGA from Source</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#verify">Verify</a></li><li><a href="#v300-18-april-2020">V3.0.0 (18 April 2020):</a></li><li><a href="#incubating-v200-20-april-2019">Incubating v2.0.0 (20 April 2019):</a></li><li><a href="#incubating-v120-6-june-2018">Incubating v1.2.0 (6 June 2018):</a></li><li><a href="#incubating-v110-12-february-2017">Incubating v1.1.0 (12 February 2017):</a></li><li><a href="#incubating-v100-8-september-2016">Incubating v1.0.0 (8 September 2016):</a></li><li><a href="#incubating-v030-20-april-2016">Incubating v0.3.0 (20 April 2016):</a></li><li><a href="#incubating-v020-14-january-2016">Incubating v0.2.0 (14 January 2016):</a></li><li><a href="#incubating-v010-8-october-2015">Incubating v0.1.0 (8 October 2015):</a></li></ul></nav></div><footer class="nav-footer" id="footer"><section class="sitemap"><a href="/" class="nav-home"><img src="/img/singa-logo-square.png" alt="Apache SINGA" width="66" height="58"/></a><div><h5>Docs</h5><a href="/docs/installation">Getting Started</a><a href="/docs/device">Guides</a><a href="/en/https://apache-singa.readthedocs.io/en/latest/">API Reference</a><a href="/docs/examples">Examples</a><a href="/docs/download-singa">Development</a></div><div><h5>Community</h5><a href="/en/users.html">User Showcase</a><a href="/docs/history-singa">SINGA History</a><a href="/docs/team-list">SINGA Team</a><a href="/blog">SINGA News</a><a href="https://github.com/apache/singa">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa" data-count-href="/apache/singa/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star this project on GitHub">apache/singa-doc</a></div><div class="social"><a href="https://twitter.com/ApacheSINGA" class="twitter-follow-button">Follow @ApacheSINGA</a></div></div><div><h5>Apache Software Foundation</h5><a href="https://apache.org/" target="_blank" rel="noreferrer noopener">Foundation</a><a href="http://www.apache.org/licenses/" target="_blank" rel="noreferrer noopener">License</a><a href="http://www.apache.org/foundation/sponsorship.html" target="_blank" rel="noreferrer noopener">Sponsorship</a><a href="http://www.apache.org/foundation/thanks.html" target="_blank" rel="noreferrer noopener">Thanks</a><a href="http://www.apache.org/events/current-event" target="_blank" rel="noreferrer noopener">Events</a><a href="http://www.apache.org/security/" target="_blank" rel="noreferrer noopener">Security</a></div></section><div style="width:100%;text-align:center"><a href="https://apache.org/" target="_blank" rel="noreferrer noopener" class="ApacheOpenSource"><img src="/img/asf_logo_wide.svg" alt="Apache Open Source"/></a><section class="copyright" style="max-width:60%;margin:0 auto">Copyright © 2020
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-   Apache SINGA, Apache, the Apache feather logo, and
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commit	b06131f744d691d21cacad9cc902f4126056efc8	[log] [tgz]
author	Chris Yeung <38325429+chrishkchris@users.noreply.github.com>	Sun Nov 22 14:15:49 2020 +0800
committer	GitHub <noreply@github.com>	Sun Nov 22 14:15:49 2020 +0800
tree	9feb7e441b01adc143d88eecbadb713e861a2ab9
parent	f12e6276f70d454d74e1b02747444cbdb4aa1287 [diff]
parent	7b135b3346d1f811121ab0321ce6b7366cef6e8a [diff]