Comments (3)
Hi @Loic-sanchez,
Run reticulate::use_condaenv("r-sjsdm", required = TRUE)
at the top of your script or in a new R session before loading a library.
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Hi thanks for the proposition, my team found a workaround, running this line before attaching library :
Sys.setenv(PATH=paste(Sys.getenv('PATH'), '/etc/miniconda3/condabin/', sep=':'))
Now the following issue I have when running the model is :
AssertionError: Torch not compiled with CUDA enabled
Any idea on how to activate it ? I tried this in my bash terminal :
conda create --name cuda_env
conda activate cuda_env
conda install cudatoolkit
This is the error message I got :
EnvironmentNotWritableError: The current user does not have write permissions to the target environment.
environment location: /etc/miniconda3
uid: 1083
gid: 1083
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Update : it seems that an update on the server has solved the issue ! Thank you again :)
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