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quentonhRhindAidan Rhind
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Update to 3.0 documentation in parallel with 3.5 release (#1135)
* Update ONNX Runtime docs, dpu/README.md * Fix model_zoo/README.md Github.IO link, update Zoo license link in HTML docs * Fix Docker image naming convention and run commands * Fix Docker image naming convention and run commands * Update CUDA container test to align with release CUDA version * Fix Docker image naming convention and run commands * Fix broken Model Zoo license agreement link * Minor text updates to workflow HTML * Further optimization of install instructions * Further optimization of install instructions * Correct Model Zoo links in board_setup * Consolidate install_docker into install * Correct spelling mistake * Minor text updates to workflow * Minor text updates to workflow-model-zoo * Further updates to install instructions * Further updates to install instructions * Cleanup VCK5000 setup instructions * Cleanup VCK5000 setup instructions * Cleanup VCK5000 setup instructions * Cleanup VCK5000 setup instructions * Cleanup VCK5000 setup instructions * Revise Alveo support, board_setup docs, Model Zoo readme * Revise Alveo support / unify board_setup docs / update Model Zoo readme * Revise Alveo support / unify board_setup docs / update Model Zoo readme * Revise Alveo support / unify board_setup docs / update Model Zoo readme * Revise Alveo support / unify board_setup docs / update Model Zoo readme * Revise Alveo support / unify board_setup docs / update Model Zoo readme * Fix Model Zoo downloader.py typo * Add Github.IO 404.html page * Add Github.IO 404.html page * Add Github.IO 404.html page * Add Github.IO 404.html page * Add Github.IO 404.html page * Add Github.IO 404.html page * Add Github.IO 404.html page * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix VCK5000 board_setup doc error * Fix broken workflow link * Add V70 DPU description * Add V70 DPU description * Fix broken third-party link * Update EDD2020 dataset link * Updates for TOCTree structure * Major revisions to 3.0 docs * Rebrand quickstarts * Fix release notes links: * Fixed Command in Install.rst * Fixed quickstart optimization links * Fixed quickstart optimization links * Merging Mpsoc quick start and setting up the target * MPSOC Quick Start Upload Test * Update Sphinx theme * Updates to MPSoC quickstart * Updates to MPSoC quickstart * Updates to MPSoC quickstart * MPSOC Changes * New MPSOC + Quentons Changes * Remove Chapter 8 reference * Fixed MPSOC.rst * new pt tutorial * new pt tutorial * Deploy Section Completed for MPSOC * Minor updates to mpsoc.rst * Fixed integration images * Updated VCK190, Partial update of VCk5000 * Finalized Quickstarts * Updates to Quickstarts * Updates to Quickstarts * Add images and cleanup * Merge changes across all Quickstarts * Release editorial fixes * Add Linux CMA details * Update Linux CMA and DT Bindings * Fix CMA Titles * Update Online Library Install, Linux CMA * Remove .bak file, re-integrate Vitis/Vivado PNG * Update Online Install Available Note * Fix dumb numbering mistake * Editorial changes to Quickstarts * WSL links added + index.rst change * Update TOCTree structure Co-authored-by: Rhind <[email protected]> Co-authored-by: Aidan Rhind <[email protected]>
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‎README.md‎

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Xilinx&reg; Vitis&trade; AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on Xilinx platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx SoCs and Alveo Data Center accelerator cards.
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AMD Vitis&trade; AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on AMD adaptable platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on AMD adaptable SoCs and Alveo Data Center accelerator cards.
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## Repository Branching and Tagging Strategy
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To understand the branching and tagging strategy leveraged by this repository, please refer to [this page](https://xilinx.github.io/Vitis-AI/docs/install/branching_tagging_strategy.html)
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To understand the branching and tagging strategy leveraged by this repository, please refer to [this page](https://xilinx.github.io/Vitis-AI/3.0/html/docs/install/branching_tagging_strategy.html)
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## Licenses
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‎board_setup/README.md‎

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The Vitis-AI repository provides pre-built board images that can be leveraged by users who wish to test-drive the Vitis-AI workflow, run examples and evaluate models from the Model Zoo. This directory provides the necessary scripts and files that will enable usage of these targets.
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As of the 3.0 release of Vitis AI, the target setup documentation has migrated to Github.IO. **YOU MAY ACCESS THE TARGET SETUP DOCUMENTATION [ONLINE](https://xilinx.github.io/Vitis-AI/docs/board_setup/board_setup.html)** or **[OFFLINE](../docs/docs/board_setup/board_setup.html)**.
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For additional high-level details please refer to the [workflow documentation](https://xilinx.github.io/Vitis-AI/docs/workflow.html#test-drive-vitis-ai-on-a-supported-platform).
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As of the 3.0 release of Vitis AI, the target setup documentation has migrated to Github.IO. **YOU MAY ACCESS THE QUICKSTART DOCUMENTATION [ONLINE](https://xilinx.github.io/Vitis-AI/3.0/html/docs/index.html)** or **[OFFLINE](../docs/docs/index.html)**.
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‎docker/README.md‎

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This folder contains the Docker container build files. For information on building and using Vitis AI Docker containers, start [here](https://xilinx.github.io/Vitis-AI/docs/install/install.html)
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This folder contains the Docker container build files. For information on building and using Vitis AI Docker containers, start [here](https://xilinx.github.io/Vitis-AI/3.0/html/docs/install/install.html)

‎docs/.buildinfo‎

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‎docs/_downloads/08f25862a0dd85eb493ab84edb004a0e/ModelZoo_VAI3.0_Github.xlsx‎

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