Task "Vivado IP Packager" unsucessful in Matlab 2022 b, Vivado 2022.2 cannot generate HDL code
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Task "Vivado IP Packager" unsucessful in 2023, cannot generate HDL code
Error information:
Error using dnnfpga.build.DLBitstreamBuild/runBitstreamBuild
Failed to generate the HDL code for the deep learning processor with the following error message:
'Task "Vivado IP Packager" unsuccessful. See log for details.'.
Error in dnnfpga.build.buildProcessor
Error in dlhdl.buildProcessor (line 33)
dnnfpga.build.buildProcessor(varargin{:});
Error in TestdownedFPGAYongjie (line 24)
dlhdl.buildProcessor(hPC_optimized)
The version of my MATLAB is 2022b, Xilinx Vivado is 2020.2.
I see a solution here, but I don't see 2022b version of IPEmitterVivado.p file. Could you please provide it for me or tell me how to fix it? Thanks for your help.
2 Kommentare
JT Ferrara
am 13 Nov. 2023
HI Yongjie,
This bug has been fixed in the product for R2022a and newer releases, which is why you do not see a file provided from R2022b release.
Can you please share the Vivado IP packager log file to better understand what the error is?
You should be able to find the file here:
dlhdl_prj\hdlsrc\testbench\workflow_task_VivadoIPPackager.log
Thank you,
JT
Antworten (1)
Siraj
am 5 Dez. 2023
Bearbeitet: Siraj
am 5 Dez. 2023
Hi!
It is my understanding that when you're attempting to generate the bitstream, you encounter the following error: "Task 'Vivado IP Packager' unsuccessful. See log for details."
It seems that one potential reason for this error is that your Vivado installation may not support the specific board you are targeting. The log file reports "WARNING: [Device 21-436] No parts matched 'xc7z045ffg900-2'," indicating that the board you are targeting is the Zynq®-7000 Kintex™-7 FPGA. To address this, ensure that when installing Vivado, the Kintex-7 family is selected in the Xilinx Vivado installer.
To understand how to install additional devices to an existing Vivado installation, you can refer to the following link:
For more details and information on the reason causing this issue and how to resolve it, you can click on the following link:
If the issue persists, you can reach out to MathWorks for support through this link:
Hope this helps.
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