deb_control_files:
- control
- md5sums
- shlibs
- triggers
deb_fields:
Architecture: arm64
Breaks: libarmnn33 (<< 23.08-4.1)
Depends: libc6 (>= 2.38), libgcc-s1 (>= 4.5), libstdc++6 (>= 13.1)
Description: |-
Inference engine for CPUs, GPUs and NPUs - shared library
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.
Installed-Size: '4533'
Maintainer: Francis Murtagh <francis.murtagh@arm.com>
Multi-Arch: same
Package: libarmnn33t64
Priority: optional
Provides: libarmnn33 (= 23.08-4.1+b3)
Replaces: libarmnn33
Section: devel
Source: armnn (23.08-4.1)
Suggests: libarmnntfliteparser24t64 (= 23.08-4.1+b3), python3-pyarmnn (= 23.08-4.1+b3)
Version: 23.08-4.1+b3
srcpkg_name: armnn
srcpkg_version: 23.08-4.1