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| <h2><a class="anchor" aria-hidden="true" id="from-conda"></a><a href="#from-conda" 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>From Conda</h2> |
| <p>Conda is a package manager for Python, CPP and other packages.</p> |
| <p>Currently, SINGA has conda packages for Linux and MacOSX. <a href="https://conda.io/miniconda.html">Miniconda3</a> is recommended to use with SINGA. After installing miniconda, execute the one of the following commands to install SINGA.</p> |
| <ol> |
| <li>CPU only</li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa-cpu</span> |
| </code></pre> |
| <p><a href="https://colab.research.google.com/drive/1Ntkhi-Z6XTR8WYPXiLwujHd2dOm0772V"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></p> |
| <ol start="2"> |
| <li>GPU with CUDA and cuDNN (CUDA driver >=384.81 is required)</li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa-gpu</span> |
| </code></pre> |
| <p><a href="https://colab.research.google.com/drive/1do_TLJe18IthLOnBOsHCEe-FFPGk1sPJ"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></p> |
| <ol start="3"> |
| <li>Install a specific version of SINGA. The following command lists all the available SINGA packages.</li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda search -c nusdbsystem singa</span> |
| |
| Loading channels: done |
| <span class="hljs-meta">#</span><span class="bash"> Name Version Build Channel</span> |
| singa 2.1.0.dev cpu_py36 nusdbsystem |
| singa 2.1.0.dev cpu_py37 nusdbsystem |
| </code></pre> |
| <p>The following command install a specific version of SINGA,</p> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa=2.1.0.dev=cpu_py37</span> |
| </code></pre> |
| <p>If there is no error message from</p> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> python -c <span class="hljs-string">"from singa import tensor"</span></span> |
| </code></pre> |
| <p>then SINGA is installed successfully.</p> |
| <h2><a class="anchor" aria-hidden="true" id="using-docker"></a><a href="#using-docker" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Using Docker</h2> |
| <p>Install Docker on your local host machine following the <a href="https://docs.docker.com/install/">instructions</a>. Add your user into the <a href="https://docs.docker.com/install/linux/linux-postinstall/">docker group</a> to run docker commands without <code>sudo</code>.</p> |
| <ol> |
| <li>CPU-only.</li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> docker run -it apache/singa:2.0.0-cpu /bin/bash</span> |
| </code></pre> |
| <ol start="2"> |
| <li>With GPU enabled. Install <a href="https://github.com/NVIDIA/nvidia-docker">Nvidia-Docker</a> after install Docker.</li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> nvidia-docker run -it apache/singa:2.0.0-gpu /bin/bash</span> |
| </code></pre> |
| <ol start="3"> |
| <li>For the complete list of SINGA Docker images (tags), visit the <a href="https://hub.docker.com/r/apache/singa/">docker hub site</a>. For each docker image, the tag is named as</li> |
| </ol> |
| <pre><code class="hljs css language-shell">version-(cpu|gpu)[-devel] |
| </code></pre> |
| <table> |
| <thead> |
| <tr><th>Tag</th><th>Description</th><th>Example value</th></tr> |
| </thead> |
| <tbody> |
| <tr><td><code>version</code></td><td>SINGA version</td><td>'nightly', '2.0.0', '1.2.0'</td></tr> |
| <tr><td><code>cpu</code></td><td>the image cannot run on GPUs</td><td>'cpu'</td></tr> |
| <tr><td><code>gpu</code></td><td>the image can run on Nvidia GPUs</td><td>'gpu', or 'cudax.x-cudnnx.x' e.g., 'cuda10.0-cudnn7.3'</td></tr> |
| <tr><td><code>devel</code></td><td>indicator for development</td><td>if absent SINGA Python package is installed for runtime only; if present, the building environment is also created, you can recompile SINGA from source at '/root/singa'</td></tr> |
| </tbody> |
| </table> |
| <blockquote> |
| <p>Please note that using the nightly built images is not recommended excpet for SINGA development and testing. Using an official release is recommended. Official releases have version numbers such as '2.0.0' and '1.2.0'.</p> |
| </blockquote> |
| <h2><a class="anchor" aria-hidden="true" id="from-source"></a><a href="#from-source" 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>From source</h2> |
| <p>You can <a href="/docs/2.0.0/build">build and install SINGA</a> from the source code using native building tools or conda-build, on local host OS or in a Docker container.</p> |
| <h2><a class="anchor" aria-hidden="true" id="faq"></a><a href="#faq" 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>FAQ</h2> |
| <ul> |
| <li><p>Q: Error from <code>from singa import tensor</code></p> |
| <p>A: Check the detailed error from</p> |
| <pre><code class="hljs css language-shell">python -c "from singa import _singa_wrap" |
| <span class="hljs-meta">#</span><span class="bash"> go to the folder of _singa_wrap.so</span> |
| ldd path to _singa_wrap.so |
| python |
| <span class="hljs-meta">></span><span class="bash">> import importlib</span> |
| <span class="hljs-meta">></span><span class="bash">> importlib.import_module(<span class="hljs-string">'_singa_wrap'</span>)</span> |
| </code></pre> |
| <p>The folder of <code>_singa_wrap.so</code> is like <code>~/miniconda3/lib/python3.7/site-packages/singa</code>. Normally, the error is caused by the mismatch or missing of dependent libraries, e.g. cuDNN or protobuf. The solution is to create a new virtual environment and install SINGA in that environment, e.g.,</p> |
| <pre><code class="hljs css language-shell">conda create -n singa |
| conda activate singa |
| conda install -c nusdbsystem -c conda-forge singa-cpu |
| </code></pre></li> |
| <li><p>Q: When using virtual environment, every time I install SINGA, numpy would be reinstalled. However, the numpy is not used when I run <code>import numpy</code></p> |
| <p>A: It could be caused by the <code>PYTHONPATH</code> environment variable which should be set to empty when you are using virtual environment to avoid the conflicts with the path of the virtual environment.</p></li> |
| <li><p>Q: When I run SINGA in Mac OS X, I got the error "Fatal Python error: PyThreadState_Get: no current thread Abort trap: 6"</p> |
| <p>A: This error happens typically when you have multiple versions of Python in your system, e.g, the one comes with the OS and the one installed by Homebrew. The Python linked by SINGA must be the same as the Python interpreter. You can check your interpreter by <code>which python</code> and check the Python linked by SINGA via <code>otool -L <path to _singa_wrap.so></code>. This problem should be resolved if SINGA is installation via conda.</p></li> |
| </ul> |
| </span></div></article></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/2.0.0/software-stack"><span>Software Stack</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#from-conda">From Conda</a></li><li><a href="#using-docker">Using Docker</a></li><li><a href="#from-source">From source</a></li><li><a href="#faq">FAQ</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/#">API Reference (coming soon)</a><a href="/docs/model-zoo-cnn-cifar10">Model Zoo</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="/news">SINGA News</a><a href="https://github.com/apache/singa-doc">GitHub</a><div class="social"><a class="github-button" href="https://github.com/apache/singa-doc" 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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