Is there any reason why the R script below
library(reticulate) sk <- import('sklearn') np <- import('numpy') a <- np$random$random(c(as.integer(5000), as.integer(5000))) pca <- sk$decomposition$PCA(as.integer(100)) pca$fit(a)
runs on 4 cores when I try it locally, but it uses only 1 core inside a docker container? I am using
--cpuset-cpus="0-3" and have verified by running the same task in python that the container has access to all 4 cores. I also tried a bunch of other things, but I can't seem to figure out a reason for this behavior. Anybody has any idea?
Служба підтримки клієнтів працює на UserEcho