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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: 0.13.0
Imports: Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr, tools, coro (≥ 1.0.2), callr, cli (≥ 3.0.0), glue, ellipsis, desc, safetensors (≥ 0.1.1), jsonlite
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, palmerpenguins, mvtnorm, numDeriv, katex
Published: 2024-05-21
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], 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.pdf
Vignettes: Distributions
Extending Autograd
Indexing tensors
Installation
Loading data
Python to R
Serialization
Creating tensors
TorchScript
Using autograd

Downloads:

Package source: torch_0.13.0.tar.gz
Windows binaries: r-devel: torch_0.13.0.zip, r-release: torch_0.13.0.zip, r-oldrel: torch_0.13.0.zip
macOS binaries: r-release (arm64): torch_0.13.0.tgz, r-oldrel (arm64): torch_0.13.0.tgz, r-release (x86_64): torch_0.13.0.tgz, r-oldrel (x86_64): torch_0.13.0.tgz
Old sources: torch archive

Reverse dependencies:

Reverse depends: mlr3torch
Reverse imports: BKTR, brulee, causalOT, circlus, cito, crumble, engression, geodl, glmnetr, innsight, lambdaTS, luz, madgrad, nFunNN, PLNmodels, proteus, RGAN, scDHA, SCFA, SEMdeep, sits, spinner, tabnet, topicmodels.etm, torchaudio, torchdatasets, torchopt, torchvision, torchvisionlib
Reverse linking to: causalOT, torchvisionlib
Reverse suggests: bundle, COTAN, GPUmatrix, nn2poly, safetensors, targets, vetiver

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.