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Hello,
Have added detailed description on Julia Discourse regarding execution failure of precompiled apps when Flux is invoked and the hardware has no GPU. Please refer to this link for details: click here
It appears the root cause is tied to the fact that CUDA package (and a number of CUDA artifacts) are part of Flux' dependency list.
The issue became a roadblock to implement Julia ML apps on embedded ARM. Perhaps the project may want to consider a GPU-agnostic approach? Simple ML apps may need only multi-core (no GPU) to run.
Thanks in advance.
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