Google Git
Sign in
apache / singa-site / 880502395b7c5f9727ef6c00e72bead0663f1fa3 / . / content / docs / 3.2.0.rc1 / downloads / index.html
blob: 6a7f211ff213cf070a70b8eb85c8b4074c85dca3 [file] [log] [blame]
<!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="3.2.0.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"/><link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Source+Sans+Pro:400,400i,700"/><link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Baloo+Paaji+2&amp;family=Source+Sans+Pro:wght@200;300&amp;display=swap"/><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>
document.addEventListener('DOMContentLoaded', function() {
addBackToTop(
{"zIndex":100}
)
});
</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>3.2.0.rc1</h3></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class="siteNavGroupActive"><a href="/docs/3.2.0.rc1/installation" target="_self">Docs</a></li><li class=""><a href="/docs/3.2.0.rc1/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/3.2.0.rc1/installation">Installation</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/software-stack">Software Stack</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/examples">Examples</a></li></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle">Guides</h3><ul class=""><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/device">Device</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/tensor">Tensor</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/autograd">Autograd</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/optimizer">Optimizer</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/graph">Model</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/onnx">ONNX</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/dist-train">Distributed Training</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/time-profiling">Time Profiling</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/half-precision">Half Precision</a></li></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle">Development</h3><ul class=""><li class="navListItem navListItemActive"><a class="navItem" href="/docs/3.2.0.rc1/downloads">Download SINGA</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/build">Build SINGA from Source</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/contribute-code">How to Contribute Code</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/contribute-docs">How to Contribute to Documentation</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/how-to-release">How to Prepare a Release</a></li><li class="navListItem"><a class="navItem" href="/docs/3.2.0.rc1/git-workflow">Git Workflow</a></li></ul></div></div></section></div><script>
var coll = document.getElementsByClassName('collapsible');
var checkActiveCategory = true;
for (var i = 0; i < coll.length; i++) {
var links = coll[i].nextElementSibling.getElementsByTagName('*');
if (checkActiveCategory){
for (var j = 0; j < links.length; j++) {
if (links[j].classList.contains('navListItemActive')){
coll[i].nextElementSibling.classList.toggle('hide');
coll[i].childNodes[1].classList.toggle('rotate');
checkActiveCategory = false;
break;
}
}
}
coll[i].addEventListener('click', function() {
var arrow = this.childNodes[1];
arrow.classList.toggle('rotate');
var content = this.nextElementSibling;
content.classList.toggle('hide');
});
}
document.addEventListener('DOMContentLoaded', function() {
createToggler('#navToggler', '#docsNav', 'docsSliderActive');
createToggler('#tocToggler', 'body', 'tocActive');
var headings = document.querySelector('.toc-headings');
headings && headings.addEventListener('click', function(event) {
var el = event.target;
while(el !== headings){
if (el.tagName === 'A') {
document.body.classList.remove('tocActive');
break;
} else{
el = el.parentNode;
}
}
}, false);
function createToggler(togglerSelector, targetSelector, className) {
var toggler = document.querySelector(togglerSelector);
var target = document.querySelector(targetSelector);
if (!toggler) {
return;
}
toggler.onclick = function(event) {
event.preventDefault();
target.classList.toggle(className);
};
}
});
</script></nav></div><div class="container mainContainer docsContainer"><div class="wrapper"><div class="post"><header class="postHeader"><a class="edit-page-link button" href="https://github.com/apache/singa-doc/blob/master/docs-site/docs/download.md" target="_blank" rel="noreferrer noopener">Edit</a><h1 id="__docusaurus" class="postHeaderTitle">Download SINGA</h1></header><article><div><span><!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->
<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="v320-15-august-2021"></a><a href="#v320-15-august-2021" 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>V3.2.0 (15 August 2021):</h2>
<ul>
<li><a href="http://www.apache.org/dyn/closer.cgi/singa/3.2.0/apache-singa-3.2.0.tar.gz">Apache SINGA 3.2.0</a>
<a href="https://www.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.sha512">[SHA512]</a>
<a href="https://www.apache.org/dist/singa/3.2.0/apache-singa-3.2.0.tar.gz.asc">[ASC]</a></li>
<li><a href="http://singa.apache.org/docs/releases/RELEASE_NOTES_3.2.0">Release Notes 3.2.0</a></li>
<li>Major changes:
<ul>
<li>New examples
<ul>
<li>Add one cifar-10 distributed CNN example for benchmarking the performance
of the distributed training.</li>
<li>Add one large CNN example for training with a dataset from the filesysetm.</li>
</ul></li>
<li>Enhance distributed training
<ul>
<li>Improve the data augmentation module for faster distributed training.</li>
<li>Add device synchronization for more accurate time measurements during the distributed
training.</li>
</ul></li>
<li>Add Support for half-precision floating-point format (fp16) in deep learning models and
computational kernels.</li>
<li>Update new onnx APIs and fix onnx examples accordingly, namely, DenseNet121, ShuffleNetv1,
ShuffleNetv2, SqueezeNet, VGG19.</li>
<li>Add a new method to resize images by given width and height.</li>
<li>Use docusaurus versioning to simplify the process of generating the project homepage.</li>
<li>Promote code quality
<ul>
<li>Unify the formats of docstrings that describe the contents and usage of the module.</li>
<li>Unify the parameters of command-line arguments.</li>
</ul></li>
<li>Fix bugs
<ul>
<li>Fix the CI build error by downloading the tbb binaries.</li>
<li>Add disabling graph option for accessing parameter or gradient tensors during distributed
training.</li>
<li>Solve the warnings of deprecated functions in the distributed optimizer module.</li>
</ul></li>
</ul></li>
</ul>
<h2><a class="anchor" aria-hidden="true" id="v310-30-october-2020"></a><a href="#v310-30-october-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>V3.1.0 (30 October 2020):</h2>
<ul>
<li><a href="https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz">Apache SINGA 3.1.0</a>
<a href="https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.sha512">[SHA512]</a>
<a href="https://archive.apache.org/dist/singa/3.1.0/apache-singa-3.1.0.tar.gz.asc">[ASC]</a></li>
<li><a href="http://singa.apache.org/docs/releases/RELEASE_NOTES_3.1.0">Release Notes 3.1.0</a></li>
<li>Major changes:
<ul>
<li>Update Tensor core:
<ul>
<li>Support tensor transformation (reshape, transpose) for tensors up to 6
dimensions.</li>
<li>Implement traverse_unary_transform in Cuda backend, which is similar to
CPP backend one.</li>
</ul></li>
<li>Add new tensor operators into the autograd module.</li>
<li>Reconstruct sonnx to
<ul>
<li>Support creating operators from both layer and autograd.</li>
<li>Re-write SingaRep to provide a more powerful intermediate representation
of SINGA.</li>
<li>Add a SONNXModel which implements from Model to provide uniform API and
features.</li>
</ul></li>
</ul>
<ul>
<li>Replace the Travis CI with Github workflow. Add quality and coverage
management.</li>
<li>Add compiling and packaging scripts to create wheel packages for
distribution.</li>
<li>Fix bugs
<ul>
<li>Fix IMDB LSTM model example training script.</li>
<li>Fix Tensor operation Mult on Broadcasting use cases.</li>
<li>Gaussian function on Tensor now can run on Tensor with odd size.</li>
<li>Updated a testing helper function gradients() in autograd to lookup param
gradient by param python object id for testing purpose.</li>
</ul></li>
</ul></li>
</ul>
<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="https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz">Apache SINGA 3.0.0</a>
<a href="https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.sha512">[SHA512]</a>
<a href="https://archive.apache.org/dist/singa/3.0.0/apache-singa-3.0.0.tar.gz.asc">[ASC]</a></li>
<li><a href="http://singa.apache.org/docs/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="https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz">Apache SINGA 2.0.0 (incubating)</a>
<a href="https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.sha512">[SHA512]</a>
<a href="https://archive.apache.org/dist/incubator/singa/2.0.0/apache-singa-incubating-2.0.0.tar.gz.asc">[ASC]</a></li>
<li><a href="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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="http://singa.apache.org/docs/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 11/22/2020</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/3.2.0.rc1/half-precision"><span class="arrow-prev">← </span><span>Half Precision</span></a><a class="docs-next button" href="/docs/3.2.0.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="#v320-15-august-2021">V3.2.0 (15 August 2021):</a></li><li><a href="#v310-30-october-2020">V3.1.0 (30 October 2020):</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 © 2023
The Apache Software Foundation. All rights reserved.
Apache SINGA, Apache, the Apache feather logo, and
the Apache SINGA project logos are trademarks of The
Apache Software Foundation. All other marks mentioned
may be trademarks or registered trademarks of their
respective owners.</section></div></footer></div><script type="text/javascript" src="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.js"></script><script>window.twttr=(function(d,s, id){var js,fjs=d.getElementsByTagName(s)[0],t=window.twttr||{};if(d.getElementById(id))return t;js=d.createElement(s);js.id=id;js.src='https://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js, fjs);t._e = [];t.ready = function(f) {t._e.push(f);};return t;}(document, 'script', 'twitter-wjs'));</script><script>
document.addEventListener('keyup', function(e) {
if (e.target !== document.body) {
return;
}
// keyCode for '/' (slash)
if (e.keyCode === 191) {
const search = document.getElementById('search_input_react');
search && search.focus();
}
});
</script><script>
var search = docsearch({
apiKey: '45202133606c0b5fa6d21cddc4725dd8',
indexName: 'apache_singa',
inputSelector: '#search_input_react',
algoliaOptions: {"facetFilters":["language:en","version:3.0.0"]}
});
</script></body></html>