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<!DOCTYPE html>
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<title>Feature lists of official releases</title>
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<h2 id="feature-lists-of-official-releases">Feature lists of official releases</h2>
<p>This document lists features enabled in official releases of each OS or Linux distro.</p>
<p>Note that users may adjust features freely with build options if they decide to build nnstreamer; any Linux developers should be able to do it with ease.</p>
<p>This document reflects the status of 2022-07-14 (2.1.1 devel)</p>
<h2 id="tizen">Tizen</h2>
<ul>
<li>Main GStreamer Elements
<ul>
<li>All main tensor-* elements are enabled including IIO support.</li>
<li>ROS extensions are <strong>not</strong> released. You may build and deploy ROS extensions after building ROS packages.</li>
</ul>
</li>
<li>Extra Elements and Subplugins
<ul>
<li>Enabled
<ul>
<li>tensorflow2-lite (2.3, 2.7.0, 2.8.1, 2.11.0, 2.15.0) w/ delegation supports (GPU, XNNPACK, NNAPI, ...) since 2.7.0</li>
<li>nnfw runtime (a.k.a. ONE-RT)</li>
<li>Trinity NPU (Samsung TV 2022+)</li>
<li>nntrainer (inference)</li>
<li>python3 filter</li>
<li>LUA filter</li>
<li>mvncsdk2</li>
<li>openvino</li>
<li>edgeTPU</li>
<li>ARMNN</li>
<li>TVM</li>
<li>SNPE</li>
<li>onnxruntime</li>
<li>grpc</li>
<li>MQTT</li>
<li>flexbuf (converter/decoder)</li>
<li>flatbuf (converter/decoder)</li>
<li>protobuf (converter/decoder)</li>
<li>Tizen sensor source</li>
<li>all trivial filter/converter/decoder subplugins.</li>
</ul>
</li>
<li>Disabled
<ul>
<li>tensorflow (we do not use Bazel in Tizen)</li>
<li>tensorflow2 (we do not use Bazel in Tizen)</li>
<li>verisilicon/vivante (tested & productized. ready, a few vivante libraries are not ported to Tizen public distro for license issues)</li>
<li>pytorch (ready)</li>
<li>caffe2 (ready)</li>
<li>snap (not supported in Tizen)</li>
</ul>
</li>
</ul>
</li>
</ul>
<h2 id="android">Android</h2>
<p>Android releases will have multiple binaries with different configurations; e.g., "nnstreamer-full", "nnstreamer-lite", "nnstreamer-basic", and so on.</p>
<p>This list shows a release corresponding to "full".</p>
<ul>
<li>GStreamer Elements
<ul>
<li>All main tensor-* elements except for IIO</li>
<li>ROS extensions are <strong>not</strong> released.</li>
</ul>
</li>
<li>Extra Elements and Subplugins
<ul>
<li>Enabled
<ul>
<li>tensorflow2-lite (2.8.1, 2.16.1) w/ delegation support (GPU, XNNPACK, NNAPI, QNN, ...)</li>
<li>nnfw runtime (a.k.a. ONERT)</li>
<li>(depending on options) snap / snpe (you cannot install both simultaneously)</li>
<li>qnn</li>
<li>pytorch</li>
<li>all trivial filter/converter/decoder subplugins.</li>
</ul>
</li>
<li>Disabled
<ul>
<li>tensorflow</li>
<li>tensorflow2</li>
<li>armnn</li>
<li>verisilicon/vivante</li>
<li>caffe2</li>
<li>python filter</li>
<li>mvncsdk2</li>
<li>openvino</li>
<li>edgeTPU</li>
</ul>
</li>
</ul>
</li>
</ul>
<h2 id="ubuntu">Ubuntu</h2>
<p>We limit the number of extra subplugins in Ubuntu PPA. However, users can easily build more subplugins easily with meson build options or they may build their own subplugins independently with the given header files (nnstreamer-dev).</p>
<ul>
<li>GStreamer Elements
<ul>
<li>All main tensor-* elements.</li>
<li>ROS extensions are <strong>not</strong> released. Users may build theirs with given ROS packages.</li>
</ul>
</li>
<li>Extra Elements and Subplugins
<ul>
<li>Enabled
<ul>
<li>tensorflow2-lite</li>
<li>protobuf</li>
<li>flatbuf</li>
<li>edgetpu</li>
<li>openvino</li>
<li>python3</li>
<li>pytorch</li>
<li>armnn</li>
<li>tvm</li>
<li>grpc</li>
<li>nnfw runtime (OneRT)</li>
</ul>
</li>
<li>Disabled
<ul>
<li>verisilicon/vivante</li>
<li>tensorflow2</li>
<li>snap</li>
<li>snpe</li>
</ul>
</li>
</ul>
</li>
</ul>
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