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vitis-ai package

vitis-ai 1.3.2-0ubuntu5~20.04.2 source package in Ubuntu

Changelog

vitis-ai (1.3.2-0ubuntu5~20.04.2) focal; urgency=medium

  * Build python libraries (LP: #1958484)

 -- Ethan Hsieh <email address hidden>  Sat, 08 Jan 2022 05:50:51 +0000

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Uploaded by:
ethan.hsieh
Sponsored by:
Łukasz Zemczak
Uploaded to:
Focal
Original maintainer:
Ubuntu Developers
Architectures:
arm64
Section:
libdevel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal updates universe libdevel

Builds

Focal: [FULLYBUILT] arm64

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File Size SHA-256 Checksum
vitis-ai_1.3.2.orig.tar.xz 56.6 MiB c44ab9c242dd7581ead5c1965b2ae3497a51343c29c8a325d8d0e2a8613d52d2
vitis-ai_1.3.2-0ubuntu5~20.04.2.debian.tar.xz 6.1 KiB ccf504080afa2e108f352340ce0df6552dea73174cd7ebe3b0c435ea2b1fb09f
vitis-ai_1.3.2-0ubuntu5~20.04.2.dsc 1.8 KiB 787e3d25c81fd7af6200d7ac25d2c04baacf0f1a35d253213730910312715dde

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Binary packages built by this source

vitis-ai-dnndk: Vitis AI DNNDK runtime

 The Vitis AI DNNDK runtime is a set of libraries used to configure
 Xilinx DPU on Zynq devices.
 .
 This package contains the Vitis AI DNNDK libraries, headers, and tools.

vitis-ai-dnndk-dbgsym: debug symbols for vitis-ai-dnndk
vitis-ai-library: Vitis AI library

 The Vitis AI Library is a set of high-level libraries and APIs built for
 efficient AI inference with Deep-Learning Processor Unit (DPU). It is
 built based on the Vitis AI Runtime with Unified APIs, and it fully
 supports XRT 2020.2.
 .
 The Vitis AI Library provides an easy-to-use and unified interface by
 encapsulating many efficient and high-quality neural networks. This
 simplifies the use of deep-learning neural networks, even for users
 without knowledge of deep-learning or FPGAs. The Vitis AI Library allows
 users to focus more on the development of their applications, rather
 than the underlying hardware.

vitis-ai-library-dbgsym: debug symbols for vitis-ai-library
vitis-ai-runtime: Vitis AI runtime

 Vitis AI Run time enables applications to use the unified high-level
 runtime API for both cloud and edge. Therefore, making cloud-to-edge
 deployments seamless and efficient.
 The Vitis AI Runtime API features are:
 * Asynchronous submission of jobs to the accelerator
 * Asynchronous collection of jobs from the accelerator
 * C++ and Python implementations
 * Support for multi-threading and multi-process execution
 .
 This package contains the Vitis AI runtime libraries, headers, and tools.

vitis-ai-runtime-dbgsym: debug symbols for vitis-ai-runtime