Giter VIP home page Giter VIP logo

Comments (10)

MarcinKosinski avatar MarcinKosinski commented on August 16, 2024

Hey @mbq what's your System Info, R version, FSelectorRcpp version and gcc version?
Can't reproduce on

- Session info ------------------------------------------------------------------------------------------------------------------------
 setting  value                       
 version  R version 3.5.1 (2018-07-02)
 os       Windows 10 x64              
 system   x86_64, mingw32             
 ui       RStudio                     
 language (EN)                        
 collate  English_United Kingdom.1252 
 ctype    English_United Kingdom.1252 
 tz       Europe/Berlin               
 date     2019-11-17                  

- Packages ----------------------------------------------------------------------------------------------------------------------------
 package     * version date       lib source                              
 assertthat    0.2.1   2019-03-21 [1] CRAN (R 3.5.3)                      
 backports     1.1.5   2019-10-02 [1] CRAN (R 3.5.3)                      
 callr         3.3.2   2019-09-22 [1] CRAN (R 3.5.3)                      
 cli           1.1.0   2019-03-19 [1] CRAN (R 3.5.3)                      
 countdown   * 0.3.3   2019-11-16 [1] Github (gadenbuie/countdown@5c895d9)
 crayon        1.3.4   2017-09-16 [1] CRAN (R 3.5.1)                      
 desc          1.2.0   2018-05-01 [1] CRAN (R 3.5.1)                      
 devtools      2.0.1   2018-10-26 [1] CRAN (R 3.5.1)                      
 digest        0.6.20  2019-07-04 [1] CRAN (R 3.5.3)                      
 fs            1.3.1   2019-05-06 [1] CRAN (R 3.5.3)                      
 glue          1.3.1   2019-03-12 [1] CRAN (R 3.5.3)                      
 htmltools     0.3.6   2017-04-28 [1] CRAN (R 3.5.1)                      
 httpuv        1.4.5.1 2018-12-18 [1] CRAN (R 3.5.2)                      
 jsonlite      1.6     2018-12-07 [1] CRAN (R 3.5.2)                      
 later         0.7.5   2018-09-18 [1] CRAN (R 3.5.2)                      
 magrittr      1.5     2014-11-22 [1] CRAN (R 3.5.3)                      
 memoise       1.1.0   2017-04-21 [1] CRAN (R 3.5.1)                      
 mime          0.7     2019-06-11 [1] CRAN (R 3.5.3)                      
 packrat       0.5.0   2018-11-14 [1] CRAN (R 3.5.3)                      
 pkgbuild      1.0.2   2018-10-16 [1] CRAN (R 3.5.1)                      
 pkgload       1.0.2   2018-10-29 [1] CRAN (R 3.5.1)                      
 prettyunits   1.0.2   2015-07-13 [1] CRAN (R 3.5.1)                      
 processx      3.4.1   2019-07-18 [1] CRAN (R 3.5.3)                      
 promises      1.0.1   2018-04-13 [1] CRAN (R 3.5.2)                      
 ps            1.2.1   2018-11-06 [1] CRAN (R 3.5.1)                      
 R6            2.4.0   2019-02-14 [1] CRAN (R 3.5.3)                      
 Rcpp          1.0.2   2019-07-25 [1] CRAN (R 3.5.3)                      
 remotes       2.0.2   2018-10-30 [1] CRAN (R 3.5.1)                      
 rlang         0.4.0   2019-06-25 [1] CRAN (R 3.5.3)                      
 rprojroot     1.3-2   2018-01-03 [1] CRAN (R 3.5.1)                      
 rsconnect     0.8.15  2019-07-22 [1] CRAN (R 3.5.3)                      
 rstudioapi    0.8     2018-10-02 [1] CRAN (R 3.5.1)                      
 sessioninfo   1.1.1   2018-11-05 [1] CRAN (R 3.5.1)                      
 shiny       * 1.2.0   2018-11-02 [1] CRAN (R 3.5.2)                      
 testthat      2.0.1   2018-10-13 [1] CRAN (R 3.5.1)                      
 usethis       1.4.0   2018-08-14 [1] CRAN (R 3.5.1)                      
 whisker       0.3-2   2013-04-28 [1] CRAN (R 3.5.1)                      
 withr         2.1.2   2018-03-15 [1] CRAN (R 3.5.1)                      
 xtable        1.8-3   2018-08-29 [1] CRAN (R 3.5.1) 

from fselectorrcpp.

mbq avatar mbq commented on August 16, 2024

For instance

R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Arch Linux

Matrix products: default
BLAS:   /usr/lib/libblas.so.3.8.0
LAPACK: /usr/lib/liblapack.so.3.8.0

locale:
 [1] LC_CTYPE=pl_PL.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=pl_PL.UTF-8        LC_COLLATE=pl_PL.UTF-8
 [5] LC_MONETARY=pl_PL.UTF-8    LC_MESSAGES=pl_PL.UTF-8
 [7] LC_PAPER=pl_PL.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=pl_PL.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

loaded via a namespace (and not attached):
[1] compiler_3.6.1

with FSelRcpp v 0.3.1 (current CRAN) and gcc 9.2.0.

Regardless, IMHO it is a matter of how many physical cores you have, it crashed easily on Ryzen 1700, Epyc 7451, and two different i7-4790s, while on a two core laptop i7 6500U it seemed to work. Maybe Windows also helps.

from fselectorrcpp.

MarcinKosinski avatar MarcinKosinski commented on August 16, 2024

from fselectorrcpp.

mbq avatar mbq commented on August 16, 2024

Well, you seem to be using R API, which generally isn't thread-safe, from within an OMP block; I don't know much about Rcpp, but it seems a likely culprit.

from fselectorrcpp.

zzawadz avatar zzawadz commented on August 16, 2024

I can confirm this.

while(TRUE) FSelectorRcpp::information_gain(Species~.,data=iris,threads=8)


 *** caught segfault ***
address (nil), cause 'memory not mapped'

Traceback:
 1: information_gain_cpp(x, y, threads = threads, discIntegers = discIntegers)
 2: .information_gain.data.frame(x = x, y = y, type = type, equal = equal,     discIntegers = discIntegers, threads = threads)
 3: .information_gain.formula(formula, data, type, equal, threads,     discIntegers = discIntegers)
 4: .information_gain(formula, data, type, equal, threads, discIntegers = discIntegers)
 5: FSelectorRcpp::information_gain(Species ~ ., data = iris, threads = 8)
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault (core dumped)

I'll try to find the issue.

from fselectorrcpp.

zzawadz avatar zzawadz commented on August 16, 2024

Probably need to use http://rcppcore.github.io/RcppParallel/

from fselectorrcpp.

zzawadz avatar zzawadz commented on August 16, 2024

Hm. It seems that I have a solution (but right now it's really ugly one).

from fselectorrcpp.

zzawadz avatar zzawadz commented on August 16, 2024

The solution is ugly and slow;) I'll think about something better.

from fselectorrcpp.

zzawadz avatar zzawadz commented on August 16, 2024

I removed the OpenMP backend for now. Better safe than sorry. I'll make a CRAN release without it, and then I'll try to make it fast again (but safe this time;))

from fselectorrcpp.

mbq avatar mbq commented on August 16, 2024

Ok. You can also take a look at my infotheo package, praznik; it is built on C API, so I managed to safely plug OpenMP just by ousting all R calls from parallel blocks.

from fselectorrcpp.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.