Pakiet: armnn-latest-all (23.08-4.1 i inne)
Odnośniki dla armnn-latest-all
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Pobieranie pakietu źródłowego armnn:
Opiekunowie:
Podobne pakiety:
Arm NN Core and all backends
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 packaging release supports TensorFlow Lite. Arm NN takes networks from the framework, 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 a dependency package containing the latest ArmNN Core package as well as the latest CPU backend, GPU backend, Reference backend and the TensorFlow Lite Parser. CPU and GPU backends will only be installed on armhf or arm64 architectures.
Inne pakiety związane z armnn-latest-all
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- dep: libarmnn-cpuacc-backend33 (= 23.08-4.1+b1) [arm64]
- Arm NN dynamically loadable Neon backend
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- dep: libarmnn-cpuref-backend33 (= 23.08-4.1+b1)
- Arm NN dynamically loadable Reference backend
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- dep: libarmnn-gpuacc-backend33 (= 23.08-4.1+b1) [arm64, armhf]
- Arm NN dynamically loadable CL backend
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- dep: libarmnn33t64 (= 23.08-4.1+b1)
- Inference engine for CPUs, GPUs and NPUs - shared library
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- dep: libarmnntfliteparser24t64
- Arm NN TensorFlow Lite parser library
Pobieranie armnn-latest-all
Architektura | Wersja | Rozmiar pakietu | Rozmiar po instalacji | Pliki |
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amd64 | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |
arm64 | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |
armhf | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |
i386 | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |
mips64el | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |
ppc64el | 23.08-4.1+b1 | 5,8 KiB | 16,0 KiB | [lista plików] |