How to Install and Uninstall libarmnntfliteparser22 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 11,2024

1. Install "libarmnntfliteparser22" package

Please follow the guidelines below to install libarmnntfliteparser22 on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libarmnntfliteparser22

2. Uninstall "libarmnntfliteparser22" package

Please follow the instructions below to uninstall libarmnntfliteparser22 on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libarmnntfliteparser22 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libarmnntfliteparser22 package on Ubuntu 21.10 (Impish Indri)

Package: libarmnntfliteparser22
Architecture: amd64
Version: 20.08-9
Multi-Arch: same
Priority: optional
Section: universe/devel
Source: armnn
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Francis Murtagh
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 383
Depends: libarmnn22 (= 20.08-9), libc6 (>= 2.14), libflatbuffers1 (>= 1.11.0+dfsg1), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Filename: pool/universe/a/armnn/libarmnntfliteparser22_20.08-9_amd64.deb
Size: 117160
MD5sum: 18544f180cf43ad7f71681c27b262f3e
SHA1: 405c1dbbb22425bc618c349fdd2976748898b102
SHA256: bd501cc2046b8d293bbcc0ca88e10d6f22261a91f0abcdacca272d4d2e490558
SHA512: 6a7d88c91ab362c6cc98b37b3b8808756945aecd6b816a462f9f13fc0d0b13569a149d4532c96a59e5ea4a23d2a2b59049c7de0dcb57d9a601b68b3d327332f8
Description-en: Arm NN is an inference engine for CPUs, GPUs and NPUs
Arm NN is a set of tools that enables machine learning workloads on
any hardware. It provides a bridge between existing neural network
frameworks and whatever hardware is available and supported. On arm
architectures (arm64 and armhf) it utilizes the Arm Compute Library
to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
possible. On other architectures/hardware it falls back to unoptimised
functions.
.
This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
Arm NN takes networks from these frameworks, translates them
to the internal Arm NN format and then through the Arm Compute Library,
deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
.
This is the shared library package.
Description-md5: f0e1765f0b724d72e2d92a833be79578