furrr with rTorch in multisession - r

Question

I want to use rTorch in a furrr "loop". A minimal example seems to be:
library(rTorch)
torch_it <- function(i) {
#.libPaths("/User/homes/mreichstein/.R_libs_macadamia4.0/")
#require(rTorch)
cat("torch is: "); print(torch)
out <- torch$tensor(1)
out
}
library(furrr)
plan(multisession, workers=8) # this works with sequential or multicore
result <- future_map(1:5, torch_it)
I get as output:
torch is: <environment: 0x556b57f07990>
attr(,"class")
[1] "python.builtin.module" "python.builtin.object"
Error in torch$tensor(1) : attempt to apply non-function
When I use multicore or sequential I get the expected output:
torch is: Module(torch)
torch is: Module(torch)
torch is: Module(torch)
torch is: Module(torch)
torch is: Module(torch)
... and result is the expected list of tensors.
Uncommenting the first lines in the function, assuming the new sessions "need this" did not help.
Update: I added torch <- import("torch") in the torch_it function. Then it runs without error, but the result I get is a list of empty pointers (?):
> result
[[1]]
<pointer: 0x0>
[[2]]
<pointer: 0x0>
[[3]]
<pointer: 0x0>
[[4]]
<pointer: 0x0>
[[5]]
<pointer: 0x0>
So, how do I properly link rTorch to each of the multisessions?
Thanks in advance!
Info:
> R.version
_
platform x86_64-redhat-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
status
major 4
minor 0.3
year 2020
month 10
day 10
svn rev 79318
language R
version.string R version 4.0.3 (2020-10-10)
nickname Bunny-Wunnies Freak Out