Tensors and Neural Networks with 'GPU' Acceleration [R package torch version 0.16.3]

torch: Tensors and Neural Networks with 'GPU' Acceleration

Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.

Version: 0.16.3

Imports: Rcpp, R6, withr, rlang (≥ 1.0.0), methods, utils, stats, bit64, magrittr, tools, coro (≥ 1.0.2), callr, cli (≥ 3.0.0), glue, desc, safetensors (≥ 0.1.1), jsonlite, scales

LinkingTo: Rcpp

Suggests: testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, palmerpenguins, mvtnorm, numDeriv, katex

Published: 2025年11月02日

DOI: 10.32614/CRAN.package.torch

Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]

Maintainer: Daniel Falbel <daniel at rstudio.com>

BugReports: https://github.com/mlverse/torch/issues

License: MIT + file LICENSE

URL: https://torch.mlverse.org/docs, https://github.com/mlverse/torch

NeedsCompilation: yes

SystemRequirements: LibTorch (https://pytorch.org/); Only x86_64 platforms are currently supported except for ARM system running macOS.

Materials: README, NEWS

In views: MachineLearning

CRAN checks: torch results

Documentation:

Reference manual: torch.html , torch.pdf

Vignettes: Installation (source, R code)

Downloads:

Package source: torch_0.16.3.tar.gz

Windows binaries: r-devel: torch_0.16.3.zip, r-release: torch_0.16.3.zip, r-oldrel: torch_0.16.3.zip

macOS binaries: r-release (arm64): torch_0.16.3.tgz, r-oldrel (arm64): torch_0.16.3.tgz, r-release (x86_64): torch_0.16.3.tgz, r-oldrel (x86_64): torch_0.16.3.tgz

Old sources: torch archive

Reverse dependencies:

Reverse depends: mlr3torch

Reverse imports: BKTR, brulee, causalOT, circlus, cito, crumble, deepregression, engression, EQRN, geodl, glmnetr, innsight, lambdaTS, LBBNN, luz, madgrad, nFunNN, PLNmodels, proteus, RGAN, scDHA, SCFA, SEMdeep, shrinkGPR, sits, spinner, survdnn, tabnet, temper, topicmodels.etm, torchdatasets, torchMAUM, torchopt, torchvision, torchvisionlib, unfold

Reverse linking to: causalOT, torchvisionlib

Reverse suggests: bundle, COTAN, DistributionIV, einops, fairGATE, fairGNN, gofigR, GPUmatrix, mlr3resampling, MLwrap, nn2poly, safetensors, shapr, svrep, targets, vetiver

Linking:

Please use the canonical form https://CRAN.R-project.org/package=torch to link to this page.