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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 |
| <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></li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa-cpu</span> |
| </code></pre> |
| <ol start="2"> |
| <li>GPU with CUDA and cuDNN (CUDA driver >=384.81 is required) |
| <a href="https://colab.research.google.com/drive/1do_TLJe18IthLOnBOsHCEe-FFPGk1sPJ"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></li> |
| </ol> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa-gpu</span> |
| </code></pre> |
| <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">$</span><span class="bash"> conda search -c nusdbsystem singa</span> |
| |
| Loading channels: done |
| <span class="hljs-meta">#</span><span class="bash"> Name Version Build Channel</span> |
| singa 2.1.0.dev cpu_py36 nusdbsystem |
| singa 2.1.0.dev cpu_py37 nusdbsystem |
| </code></pre> |
| <!--- > Please note that using the nightly built images is not recommended except for SINGA development and testing. Using stable releases is recommended. --> |
| <p>The following command installs a specific version of SINGA,</p> |
| <pre><code class="hljs css language-shell"><span class="hljs-meta">$</span><span class="bash"> conda install -c nusdbsystem -c conda-forge singa=X.Y.Z.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:X.Y.Z-cpu-ubuntu16.04 /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:X.Y.Z-cuda9.0-cudnn7.4.2-ubuntu16.04 /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>'2.0.0-rc0', '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> |
| <tr><td><code>OS</code></td><td>indicate OS version number</td><td>'ubuntu16.04', 'ubuntu18.04'</td></tr> |
| </tbody> |
| </table> |
| <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/next/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="docLastUpdate"><em>Last updated on 4/9/2020</em></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/next/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. |
| Apache SINGA, Apache, the Apache feather logo, and |
| the Apache SINGA project logos are trademarks of The |
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