How to Install and Uninstall libarmnntfliteparser-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "libarmnntfliteparser-dev" package

Please follow the instructions below to install libarmnntfliteparser-dev on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libarmnntfliteparser-dev

2. Uninstall "libarmnntfliteparser-dev" package

Please follow the guidance below to uninstall libarmnntfliteparser-dev on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libarmnntfliteparser-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libarmnntfliteparser-dev package on Ubuntu 21.10 (Impish Indri)

Package: libarmnntfliteparser-dev
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: 18
Depends: libarmnn-dev (= 20.08-9), libarmnntfliteparser22 (= 20.08-9)
Filename: pool/universe/a/armnn/libarmnntfliteparser-dev_20.08-9_amd64.deb
Size: 3508
MD5sum: 07c8223cb9e0ab355779df2edd448431
SHA1: ae73d1e18f45a21f048d4e31f40bc6e8ca537630
SHA256: 96e96e867d63ee5627286d7393e434a38cfe11c68dbe180b72dfdcb4a3a7e98a
SHA512: 16052cc274db5d84712bc25e79087d66a179ba57eaa3baf8f0475138b2077ab3a7cf7d0cb7980c14581a5ca926e4de059f5e9ccab27c79f818511f5251f8dde9
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 development package containing header files.
Description-md5: 3b04ad78f4735c7844f52147d4645322