Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Version: | 0.8.1 |
Imports: | Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr, tools, coro (≥ 1.0.2), callr, cli, ellipsis |
LinkingTo: | Rcpp |
Suggests: | testthat (≥ 3.0.0), covr, knitr (≥ 1.36), rmarkdown, glue, palmerpenguins, mvtnorm, numDeriv, katex |
Published: | 2022-08-19 |
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], 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: | C++11, LibTorch (https://pytorch.org/); Only x86_64 platforms are currently supported. |
Materials: | README NEWS |
In views: | MachineLearning |
CRAN checks: | torch results |
Reference manual: | torch.pdf |
Vignettes: |
Distributions Extending Autograd Indexing tensors Installation Loading data Python to R Serialization Creating tensors TorchScript Using autograd |
Package source: | torch_0.8.1.tar.gz |
Windows binaries: | r-devel: torch_0.8.1.zip, r-release: torch_0.8.1.zip, r-oldrel: torch_0.8.1.zip |
macOS binaries: | r-release (arm64): torch_0.8.1.tgz, r-oldrel (arm64): torch_0.8.1.tgz, r-release (x86_64): torch_0.8.1.tgz, r-oldrel (x86_64): torch_0.8.1.tgz |
Old sources: | torch archive |
Reverse imports: | brulee, cito, innsight, lambdaTS, luz, madgrad, proteus, RGAN, scDHA, sits, SPQR, tabnet, topicmodels.etm, torchdatasets, torchopt, torchvision, torchvisionlib |
Reverse linking to: | torchvisionlib |
Reverse suggests: | targets |
Please use the canonical form https://CRAN.R-project.org/package=torch to link to this page.