Comments (3)
Seems like a reasonable option to have. I've pushed a change to github that adds the :build_env
command.
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I think the missing LIBTORCH_USE_PYTORCH
at the end is the result of Subprocess terminated with status: exit status: 99
and a subsequent restart of the repl process with a fresh environment.
As for the libtorch_cpu.so: cannot open shared object file: No such file or directory
, it looks like the build script of tch-rs reads LIBTORCH_USE_PYTORCH
an determines which library to have the program link against based on this: https://github.com/LaurentMazare/tch-rs/blob/dca12b647ade36414c09359bade840d5092087d6/torch-sys/build.rs#L206 std::env::set_var("LIBTORCH_USE_PYTORCH", "1");
only affects the repl process itself, not the cargo invocation used to build your program and it's dependencies. To set that env var for cargo you need to start the evcxr jupyter kernel itself with this env var set, which as you say is not possible for you. @davidlattimore maybe we can have a :build_env
command for setting env vars for the cargo invocation?
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Thank you very much for your help! 🙏🙏🙏
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