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LibTorch is very finicky to support older CUDA versions (actually also for newer versions too) so we have a very small range of versions supported.
I recommend installing torch using the pre-buiilt binaries from. Those bundle CUDA and CUDNNN versions required by torch, so you don't need to manage a CUDA installation.
You can install them with somehting like:
kind <- "cu118"
version <- "0.12.0"
options(repos = c(
torch = sprintf("https://torch-cdn.mlverse.org/packages/%s/%s/", kind, version),
CRAN = "https://cloud.r-project.org" # or any other from which you want to install the other R dependencies.
))
install.packages("torch", type = "binary")
I updated the r-base and torch recently (UBUNTU 18.04). The last version seems not to be compatible with cuda version 11.6
✖ Unsupported CUDA version "11.6"
Do not understand why. I am trying to downgrade to find the last version that accepts cuda version 11.6
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