deb_control_files:
- control
- md5sums
deb_fields:
Architecture: amd64
Depends: libarmnn33t64 (= 23.08-4.1+b3)
Description: |-
Inference engine for CPUs, GPUs and NPUs - header files
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.
Installed-Size: '544'
Maintainer: Francis Murtagh <francis.murtagh@arm.com>
Multi-Arch: same
Package: libarmnn-dev
Priority: optional
Section: devel
Source: armnn (23.08-4.1)
Version: 23.08-4.1+b3
srcpkg_name: armnn
srcpkg_version: 23.08-4.1