armnn 20.08-12 source package in Ubuntu
Changelog
armnn (20.08-12) unstable; urgency=medium
* Stop building libarmnn-cpuacc-backend22 on armhf. The package requires
Neon support in order to be built, and there is no guarantee that all
armhf CPUs have it. Importantly, the armhf buildd conova does not support
Neon.
-- Emanuele Rocca <email address hidden> Thu, 02 Feb 2023 16:02:27 +0100
Upload details
- Uploaded by:
- Francis Murtagh
- Uploaded to:
- Sid
- Original maintainer:
- Francis Murtagh
- Architectures:
- amd64 arm64 armhf i386 mipsel mips64el ppc64el
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| armnn_20.08-12.dsc | 3.1 KiB | c8cdab62cf9eeadff7c8c28abf9c23fbb7e38c28f591032c1fa09fdc7e32c6b3 |
| armnn_20.08.orig.tar.xz | 4.3 MiB | e834f4ed5ed138ea6c66ea37ec11208af9803271656be16abd426f74287d1189 |
| armnn_20.08-12.debian.tar.xz | 19.5 KiB | e2396a6ed697e3bd87247dbdf791c83f44cf0b168519bade00a768334eb1b3e5 |
Available diffs
No changes file available.
Binary packages built by this source
- libarmnn-cpuacc-backend22: 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 dynamically loadable Neon backend package.
- libarmnn-cpuacc-backend22-dbgsym: No summary available for libarmnn-cpuacc-backend22-dbgsym in ubuntu mantic.
No description available for libarmnn-
cpuacc- backend22- dbgsym in ubuntu mantic.
- libarmnn-cpuref-backend22: No summary available for libarmnn-cpuref-backend22 in ubuntu mantic.
No description available for libarmnn-
cpuref- backend22 in ubuntu mantic.
- libarmnn-cpuref-backend22-dbgsym: debug symbols for libarmnn-cpuref-backend22
- libarmnn-dev: 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.
- libarmnn-gpuacc-backend22: 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 dynamically loadable CL backend package.
- libarmnn-gpuacc-backend22-dbgsym: No summary available for libarmnn-gpuacc-backend22-dbgsym in ubuntu mantic.
No description available for libarmnn-
gpuacc- backend22- dbgsym in ubuntu mantic.
- libarmnn22: No summary available for libarmnn22 in ubuntu mantic.
No description available for libarmnn22 in ubuntu mantic.
- libarmnn22-dbgsym: debug symbols for libarmnn22
- libarmnnaclcommon22: No summary available for libarmnnaclcommon22 in ubuntu mantic.
No description available for libarmnnaclcommon22 in ubuntu mantic.
- libarmnnaclcommon22-dbgsym: No summary available for libarmnnaclcommon22-dbgsym in ubuntu mantic.
No description available for libarmnnaclcomm
on22-dbgsym in ubuntu mantic.
- libarmnntfliteparser-dev: Arm NN TensorFlow Lite parser library - 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.
- libarmnntfliteparser22: 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.
- libarmnntfliteparser22-dbgsym: debug symbols for libarmnntfliteparser22
- python3-pyarmnn: PyArmNN is a python extension for the Armnn SDK
PyArmNN provides interface similar to Arm NN C++ Api.
.
PyArmNN is built around public headers from the armnn/include folder
of Arm NN. PyArmNN does not implement any computation kernels itself,
all operations are delegated to the Arm NN library.
- python3-pyarmnn-dbgsym: debug symbols for python3-pyarmnn
