how to use Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices in MATLAB ONLINE

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KALARANI
KALARANI 2024-7-10
评论： KALARANI 2024-7-24
i AM DOING RESEARCH IN DEEP NEURAL NETWORKS.SINCE OUR INSTITUTION "PSG COLLEGE OF TECHNOLOGY,COIMBATORE"I HAS LICENCE ,I HAVE STARTED TO EXPLORE DEEP LEARNING HDL TOOL BOX IN ONLINE MATLAB.BUT WHILE RUNNING THE CODE IT SHOWS THE ERROR"Attempt to create a Target for vendor 'Xilinx'. The 'Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices' support package has not been installed.".since i am using ONLINe MATLAb,i could not find the Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices.
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Manikanta Aditya
Manikanta Aditya 2024-7-10
MATLAB Online does not support the installation of hardware support packages. These packages typically require the ability to communicate with hardware devices, which is not possible in the MATLAB Online environment.
However, you can use the Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices on a local installation of MATLAB.

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Kiran Kintali
Kiran Kintali 2024-7-11
Deep Learning HDL Toolbox and HDL Coder products are needed for exploring the FPGA/ASIC workflow.
https://www.mathworks.com/products/deep-learning-hdl.html
Deep Learning HDL Toolbox provides functions and tools to prototype and implement deep learning networks on FPGAs and SoCs.
https://www.mathworks.com/products/hdl-coder.html
HDL Coder enables high-level design for FPGAs, SoCs, and ASICs by generating portable, synthesizable Verilog®, SystemVerilog, and VHDL® code from MATLAB functions, Simulink models, and Stateflow charts. You can use the generated HDL code for FPGA programming, ASIC prototyping, and production design.
Generating HDL code from Simulink model, MATLAB code or Deep Learning Network can be done in the online workflow. Synthesis and Programming of the generated code to bitstream and board support workflows may require access to the support packages and advanced HDL Coder workflows that are only available in the desktop installation.

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