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Precompilation for ReinforcementLearningEnvironments is long - longer than other, more complex, packages like Flux. I'm not sure if this is due to the sparsely used dependencies, like OrdinaryDiffEqs and GR, or maybe due to the @require statements for the optional envs. In any case, I think some of these dependencies can be removed. The ODE package is used only once to solve runge-kutta equations in acrobot and GR is used to plot mountaincar and cartpole. While these featuers are useful, I am not sure if it warrants such long precompilation times.
The text was updated successfully, but these errors were encountered:
findmyway
transferred this issue from JuliaReinforcementLearning/ReinforcementLearningEnvironments.jl
Apr 15, 2021
Thanks for pointing this out. This has been a headache to me for a long time and I was intended to tackle it after [email protected]
Let me investigate all the dependencies first.
Personally, I prefer to move some parts of them (like ODE and GR) into lazy loading.
Precompilation for ReinforcementLearningEnvironments is long - longer than other, more complex, packages like Flux. I'm not sure if this is due to the sparsely used dependencies, like OrdinaryDiffEqs and GR, or maybe due to the @require statements for the optional envs. In any case, I think some of these dependencies can be removed. The ODE package is used only once to solve runge-kutta equations in acrobot and GR is used to plot mountaincar and cartpole. While these featuers are useful, I am not sure if it warrants such long precompilation times.
The text was updated successfully, but these errors were encountered: