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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
| commit | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (patch) | |
| tree | 5b4da2f2e88636c939afbafa2571170297114e40 /22.08/_installation_via_apt_repository_8md_source.xhtml | |
| parent | d5d43d82c0137e08553e44345c609cdd1a7931c7 (diff) | |
| download | armnn-7bfd38a721360183f3392f9ab35db18a0dd7fef8.tar.gz | |
Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
Diffstat (limited to '22.08/_installation_via_apt_repository_8md_source.xhtml')
| -rw-r--r-- | 22.08/_installation_via_apt_repository_8md_source.xhtml | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/22.08/_installation_via_apt_repository_8md_source.xhtml b/22.08/_installation_via_apt_repository_8md_source.xhtml new file mode 100644 index 0000000000..6f19d15ffd --- /dev/null +++ b/22.08/_installation_via_apt_repository_8md_source.xhtml @@ -0,0 +1,113 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: InstallationViaAptRepository.md Source File</title> +<link href="tabs.css" rel="stylesheet" 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class="title">InstallationViaAptRepository.md</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_installation_via_apt_repository_8md.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> # How to install ArmNN via our APT repository on Ubuntu's Launchpad</div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> </div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> * [Introduction](#introduction)</div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> * [Add the Ubuntu Launchpad PPA to your system](#add-the-ubuntu-launchpad-ppa-to-your-system)</div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> * [Outline of available packages](#outline-of-available-packages)</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  + [x86_64](#x86_64)</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  + [arm64](#arm64)</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  + [armhf](#armhf)</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> * [Install desired combination of packages](#install-desired-combination-of-packages)</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> * [Installation of specific ABI versioned packages](#installation-of-specific-abi-versioned-packages)</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> * [Uninstall packages](#uninstall-packages)</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> ## Introduction</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> These are the step by step instructions on how to install the Arm NN core, TensorflowLite Parser</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> as well as PyArmNN for x86_64, Arm64 and Armhf for Ubuntu 20.04.</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> The packages will also be added to Debian Bullseye, their progress can be tracked here:</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> https://tracker.debian.org/pkg/armnn.</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> ## Add the Ubuntu Launchpad PPA to your system</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> * Add the PPA to your sources using a command contained in software-properties-common package:</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  ```</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  sudo apt install software-properties-common</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  sudo add-apt-repository ppa:armnn/ppa</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  sudo apt update</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  ```</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> * More information about our PPA and the Ubuntu Launchpad service can be found at [launchpad.net](https://launchpad.net/~armnn/+archive/ubuntu/ppa)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> ## Outline of available packages</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> We provide a number of packages for each architecture; x86_64, aarch64 and armhf as outlined below.</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> ARMNN_MAJOR_VERSION: This is the ABI version of the Arm NN source that has been packaged based on</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> include/armnn/Version.hpp.</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> ARMNN_RELEASE_VERSION: This is the marketing release version based on the date source was released on github e.g. 20.11.</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> PACKAGE_VERSION: This is the version of the source package used to build the binaries packages from.</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> ### x86_64</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> * Runtime Packages</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> ```</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> libarmnn-cpuref-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> libarmnntfliteparser{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> libarmnn{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> python3-pyarmnn_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> ```</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> * Development Packages</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> ```</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> libarmnn-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> libarmnntfliteparser-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> ```</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> * Dependency Packages (These are empty packages that provide a user-friendly name for other packages they will install)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ```</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> armnn-latest-all_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> armnn-latest-ref_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> ```</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> ### arm64</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> * Runtime Packages</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> ```</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> libarmnn-aclcommon{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> libarmnn-cpuacc-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> libarmnn-cpuref-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> libarmnn-gpuacc-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> libarmnntfliteparser{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> libarmnn{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> python3-pyarmnn_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> ```</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> * Development Packages</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> ```</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> libarmnn-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> libarmnntfliteparser-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> ```</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> * Dependency Packages (These are empty packages that provide a user-friendly name for other packages they will install)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> ```</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> armnn-latest-all_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> armnn-latest-cpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> armnn-latest-cpu-gpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> armnn-latest-cpu-gpu-ref_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> armnn-latest-gpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> armnn-latest-ref_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_arm64.deb</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> ```</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> ### armhf</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> * Runtime Packages</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> ```</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> libarmnn-aclcommon{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> libarmnn-cpuacc-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> libarmnn-cpuref-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> libarmnn-gpuacc-backend{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> libarmnntfliteparser{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> libarmnn{ARMNN_MAJOR_VERSION}_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> python3-pyarmnn_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> ```</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> * Development Packages</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> ```</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> libarmnn-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> libarmnntfliteparser-dev_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> ```</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> * Dependency Packages (These are empty packages that provide a user-friendly name for other packages they will install)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> ```</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> armnn-latest-all_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> armnn-latest-cpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> armnn-latest-cpu-gpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> armnn-latest-cpu-gpu-ref_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> armnn-latest-gpu_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_armhf.deb</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> armnn-latest-ref_{ARMNN_RELEASE_VERSION}-{PACKAGE_VERSION}_amd64.deb</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> ```</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> ## Install desired combination of packages</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> The easiest way to install all of the available packages for your systems architecture is to run the command:</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> ```</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  sudo apt-get install -y python3-pyarmnn armnn-latest-all</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  # Verify installation via python:</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  python3 -c "import pyarmnn as ann;print(ann.GetVersion())"</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 30.0.0</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> ```</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> This will install PyArmNN and the three backends for Neon (CpuAcc), OpenCL (GpuAcc) and our Reference Backend.</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> and it's dependency Arm NN Core.</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> If the user does not wish to use PyArmNN they can go up a level of dependencies and instead just install the</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> armnn-latest-all package:</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> ```</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  # Install ArmNN Core, CpuAcc Backend, GpuAcc Backend and Reference Backend as well as the TensorFlow Lite Parser:</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  # (This will only install CpuAcc and GpuAcc Backends on arm64 and armhf architectures)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  sudo apt-get install -y armnn-latest-all</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  # Install ArmNN Core, CpuAcc Backend as well as the TensorFlow Lite Parser:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  sudo apt-get install -y armnn-latest-cpu</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  # Install ArmNN Core, CpuAcc Backend, GpuAcc Backend as well as the TensorFlow Lite Parser:</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  sudo apt-get install -y armnn-latest-cpu-gpu</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  # Install ArmNN Core, GpuAcc Backend as well as the TensorFlow Lite Parser:</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  sudo apt-get install -y armnn-latest-gpu</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  # Install ArmNN Core, Reference Backend as well as the TensorFlow Lite Parser:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  sudo apt-get install -y armnn-latest-ref</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> ```</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> ## Installation of specific ABI versioned packages</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> Due to Debian Packaging requiring the pristine tarball from our Github release, the version on Launchpad may not align</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> with the released version on Github depending on the complexity of newly added features.</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> In order to check for the latest available Arm NN version use apt-cache search:</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> ```</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  apt-cache search libarmnn</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  # This returns a list of matching packages including versions from previous releases</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  libarmnn-cpuref-backend23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  libarmnn-cpuref-backend24 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  libarmnn-dev - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  libarmnntfliteparser-dev - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  libarmnn-tfliteparser23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  libarmnntfliteparser24 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  libarmnntfliteparser24.5 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  libarmnn23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  libarmnn24 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  libarmnn25 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  libarmnn30 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  libarmnn-aclcommon23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  libarmnnaclcommon24 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  libarmnn-cpuacc-backend23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  libarmnn-cpuacc-backend24 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  libarmnn-gpuacc-backend23 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  libarmnn-gpuacc-backend24 - Arm NN is an inference engine for CPUs, GPUs and NPUs</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  # Export the ARMNN_MAJOR_VERSION to the latest visible e.g. libarmnn30 to allow installation using the below examples</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  export ARMNN_MAJOR_VERSION=30</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  # As the Tensorflow Lite Parser is now ABI stable it will have a different version to ARMNN_MAJOR_VERSION please choose latest version:</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  apt-cache search libarmnntfliteparser</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  # Returns e.g. libarmnntfliteparser24.5 so we then export that version, for reference this comes from include/armnnTfLiteParser/Version.hpp:</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  export TFLITE_PARSER_VERSION=24.5</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  sudo apt-get install -y libarmnntfliteparser${TFLITE_PARSER_VERSION} libarmnn-cpuacc-backend${ARMNN_MAJOR_VERSION}</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> ```</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> ## Uninstall packages</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> The easiest way to uninstall all of the previously installed packages is to run the command:</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> ```</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  sudo apt-get purge -y armnn-latest-all</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  sudo apt autoremove -y armnn-latest-all</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> ```</div></div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="_installation_via_apt_repository_8md.xhtml">InstallationViaAptRepository.md</a></li> + <li class="footer">Generated on Fri Aug 19 2022 14:38:26 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" 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