R Observatory: Metrics for torch version 0.17.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

torch

0.17.0Package record

Tensors and Neural Networks with 'GPU' Acceleration

53packages dependsuggested by 33

284.4Kdownloads / year

0.3%test coverage

11/13flavors OK

Overview

About

Maintained by Tomasz KalinowskiCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.17.0

Breaking changes

Updated to LibTorch 2.8.0 (#1419).
torch_triu_indices() and torch_tril_indices() now return 1-based indexes (#1382).
$indices() now returns 1-based indexes (#1382).

New features

Added torch_sitrep() for torch installation situation report (#1415, @cregouby).
Added %*% operator for torch tensors (#1379, @caio-hamamura).
Added head() and tail() methods for torch tensors (#1388).
Exported torch_scaled_dot_product_attention() (#1404).
Exported torch_sparse_sampled_addmm() (#1427).
Exported torch_ldexp() (#1407).
Integrated cudatoolkit R package for CUDA library loading (#1422).

Show all changes in 0.17.0Hide the rest of the changes in 0.17.0

Improved as_array() support for sparse tensors (#1387).

Bug fixes

Fixed sparse CSR tensor printing, to_sparse() crash, and as_array() detection (#1431).
Fixed dataset()/nn_module() crash when initialize parameter is named d (#1424, @Chandraveer-Singh).
Fixed bfloat16 not being recognized as a floating point dtype (#1408).
Fixed handling of R longjump exceptions in autograd and tracing callbacks (#1406).
Fixed redundant lantern.h include causing macro redefinition warning (#1430).
Excluded glibc libraries from dependency bundling (#1397, @troyhernandez).
Replaced non-API entry point Rf_findVarInFrame with R_getVarEx for R 4.6 compatibility (#1421).
Added French translations for 5 missing messages (#1385, @cregouby).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("torch", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mlverse/torch")

Development version from mlverse/torch. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-torch

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-torch

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-torch

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘torch_argmax.Rd’ ‘torch_argmin.Rd’ ‘torch_bincount.Rd’
  ‘torch_eig.Rd’ ‘torch_logical_not.Rd’ ‘torch_lstsq.Rd’
  ‘torch_matrix_rank.Rd’ ‘torch_max.Rd’ ‘torch_min.Rd’ ‘torch_sort.Rd’
\arguments should not be documented without \usage.

Additional issues

rchk

CRAN check page ↗

Slowest check: 35.2 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 1 NOTE2026-07-11
OK12 OK, 1 FAILURE2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK13 OK2026-05-02
NOTE11 OK, 3 NOTE2026-04-22

Show 4 earlier changesHide 4 earlier changes

ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-04-16
WARNING6 OK, 7 NOTE, 1 WARNING2026-03-21
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.17.0

READMEYes · 117 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.17.0Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 702 (4 internal)
Examples that run: 100%442 run in a plain check (1 of them under a condition)
Exported functions with examples: 64%
Documented parameters: 100%
Return-value docs: 6%
Help pages citing references: 0%

Vignettes (1)

Installation HTML

How these are measured

Downloads

284.4K

CRAN downloads in the past year

Rank #521 · ~779/day · ~23.7K/mo

Releases R versions

Daily download trend is not available in this view yet.

44.4K30 days

137.5K90 days

284.4K1 year

Compare downloads with other packages →

Also on4K r2u5 autocran6.7K conda_forge192 c2d4u

How downloads are counted

Repository

mlverse/torch ↗Organization: mlverse

569Stars

93Forks

143Open issues

16Open PRs

32Releases

4,554Commits

58Commit identities

torchautograddeep-learningr

4,554 commits · Last activity 2026-10-21 · +0.2% stars, 30d · Default branch at 0.17.0.9000, ahead of CRAN 0.17.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 93%
Median days to close, 50 most recently updated closed issues: 5
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-10-16 · 5452026-10-22 · 569

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mlverse/torch on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (1)

Contributing guide

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-14 · The repository has a site deploy workflow

pkgdown site last built 2026-04-11

CRAN release process (2)

cran-comments.mdrevdep/

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-01-26
Seen in the repository: .claude, .claude/skills
Named in .Rbuildignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 9 crediting it in the message
GitHub Copilotfirst seen 2026-01-26
Pull request: opened by its own account
Commits: 1 by its own account · at least 1 crediting it in the message

From outside contributors

Claude Code
Pull requests: 2 from outside contributors, first on 2026-01-12, 2 from forks

Models named in its commits

Claude Opus 4.56 commits · Jan to Apr 2026
Claude Opus 52 commits · Aug 2026
Claude Opus 5.51 commit · Oct 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Installing torch adds 23 packages (11 with compiled code, 8.7 MB of source tarballs). Heaviest: Rcpp 1.8 MB, farver 1.2 MB, viridisLite 1.2 MB.

Depends (0)

none

Imports (18)

Rcpp R6 withr rlangmethodsutilsstatsbit64 magrittrtoolscoro callr cli glue desc safetensors jsonlite scales

LinkingTo (1)

Rcpp

Suggests (8)

testthat covr knitr rmarkdown palmerpenguins mvtnorm numDeriv katex

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

53direct

3indirect

Depends 1 · Imports 52 · LinkingTo 2

Suggested by 33

Show the 48 most downloaded dependentsHide the 48 most downloaded dependents

Depends, Imports or LinkingTo, most downloaded first

and 5 more dependents and 33 packages that suggest it on CRAN ↗

How these are counted

Code & Tests

People & History

People (11)

Tomasz Kalinowski

Contributor, Maintainer since 0.17.0 (2026) · added in 0.17.0

Daniel Falbel

Author, Copyright holder

Javier Luraschi

Author

Hamada S. Badr

Contributor · added in 0.7.0

Athos Damiani

Contributor

Sebastian Fischer

Contributor · added in 0.13.0

Krzysztof Joachimiak

Contributor · added in 0.3.0

Maximilian Pichler

Contributor · added in 0.14.0

Christophe Regouby

Contributor · added in 0.3.0

Dmitriy Selivanov

Contributor

RStudio

Copyright holder

Previously maintained by Daniel Falbel (0.0.1 to 0.16.3).

Releases (32)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.17.0Latest
record
2026-04-11 · current release · diff ↗ ·
added 6 exports
install_torch_sitrep, torch_float8_e4m3fn, torch_float8_e5m2, torch_ldexp, torch_scaled_dot_product_attention, torch_sparse_sampled_addmm
0.16.3
record
2025-11-02 · diff ↗
0.16.2
record
2025-10-31 · diff ↗
0.16.1
record
2025-10-16 · diff ↗
0.16.0
record
2025-08-21 · diff ↗
0.15.1
record
2025-07-10 · diff ↗
0.15.0
record
2025-06-23 · diff ↗ ·
added 8 exports
cuda_dump_memory_snapshot, cuda_memory_snapshot, cuda_record_memory_history, nn_aum_loss, nn_transformer_encoder, nn_transformer_encoder_layer, nnf_area_under_min_fpr_fnr, torch_bfloat16
R
R 4.5.0 released · 2025-04-11
0.14.2
record
2025-02-14 · diff ↗
0.14.1
record
2025-02-03 · diff ↗
0.14.0
record
2025-01-30 · diff ↗ ·
added 11 exports
OptimizerIgnite, jit_serialize, jit_unserialize, optim_ignite_adagrad, optim_ignite_adam, optim_ignite_adamw, optim_ignite_rmsprop, optim_ignite_sgd, optim_required, optimizer_ignite, torch_take_along_dim
0.13.0
record
2024-05-22 · diff ↗ ·
added 4 exports
clone_module, linalg_solve_triangular, set_autocast, unset_autocast
R
R 4.4.0 released · 2024-04-24
0.12.0
record
2023-12-15 · diff ↗ ·
removed 1 export
torch_symeig

added 5 exports
iterable_dataset, lr_cosine_annealing, torch_cfloat128, torch_chalf, torch_serialize
0.11.0
record
2023-06-06 · diff ↗ ·
added 12 exports
buffer_from_torch_tensor, cuda_get_rng_state, cuda_set_rng_state, jit_ops, local_device, local_torch_manual_seed, nn_module_dict, nn_utils_weight_norm, torch_set_rng_state, torch_tensor_from_buffer, with_device, with_torch_manual_seed

Show 27 earlier eventsHide 27 earlier events

R
R 4.3.0 released · 2023-04-21
0.10.0
record
2023-04-14 · diff ↗ ·
removed 3 exports
torch_eig, torch_lstsq, torch_matrix_rank

added 9 exports
cuda_amp_grad_scaler, local_autocast, local_enable_grad, local_no_grad, nn_silu, nnf_silu, optim_adamw, torch_get_rng_state, with_autocast
0.9.1
record
2023-01-23 · diff ↗ ·
added 1 export
torch_fft_fftfreq
0.9.0
record
2022-10-24 · diff ↗ ·
removed 1 export
torch_solve

added 3 exports
backends_mps_is_available, cuda_empty_cache, cuda_synchronize
0.8.1
record
2022-08-19 · diff ↗
0.8.0
record
2022-06-10 · diff ↗ ·
added 10 exports
lr_reduce_on_plateau, nn_embedding_bag, nn_prune_head, sampler, torch_cdouble, torch_cfloat, torch_cfloat32, torch_cfloat64, torch_kron, torch_lu_unpack
R
R 4.2.0 released · 2022-04-22
0.7.2
record
2022-02-26 · diff ↗
0.7.1
record
2022-02-25 · diff ↗ ·
added 1 export
cuda_runtime_version
0.7.0
record
2022-02-18 · diff ↗ ·
added 11 exports
backends_cudnn_is_available, backends_cudnn_version, call_torch_function, cuda_get_device_capability, cuda_memory_stats, cuda_memory_summary, jit_save_for_mobile, nn_flatten, nn_unflatten, nn_upsample, torch_install_path
0.6.0
record
2021-10-07 · diff ↗
0.5.0
record
2021-08-17 · diff ↗ ·
added 36 exports
contrib_sort_vertices, jit_compile, jit_scalar, jit_trace_module, jit_tuple, linalg_cholesky, linalg_cholesky_ex, linalg_cond, linalg_det, linalg_eig, linalg_eigh, linalg_eigvals, linalg_eigvalsh, linalg_householder_product, linalg_inv, linalg_inv_ex, linalg_lstsq, linalg_matrix_norm, linalg_matrix_power, linalg_matrix_rank, linalg_multi_dot, linalg_norm, linalg_pinv, linalg_qr, linalg_slogdet, linalg_solve, linalg_svd, linalg_svdvals, linalg_tensorinv, linalg_tensorsolve and 6 more
0.4.0
record
2021-06-10 · diff ↗ ·
added 4 exports
distr_categorical, distr_mixture_same_family, distr_multivariate_normal, torch_diff
R
R 4.1.0 released · 2021-05-18
0.3.0
record
2021-04-28 · diff ↗ ·
removed 4 exports
torch_fft, torch_ifft, torch_irfft, torch_rfft

added 17 exports
backends_mkl_is_available, backends_mkldnn_is_available, backends_openmp_is_available, distr_bernoulli, distr_chi2, distr_gamma, distr_normal, distr_poisson, get_install_libs_url, install_torch_from_file, nn_group_norm, nn_layer_norm, optimizer, torch_fft_fft, torch_fft_ifft, torch_fft_irfft, torch_fft_rfft
0.2.1
record
2021-01-05 · diff ↗
0.2.0
record
2020-12-15 · diff ↗ ·
added 88 exports
as_iterator, dataset_subset, jit_load, jit_save, jit_trace, loop, nn_batch_norm3d, nn_gru, nn_lstm, optim_lbfgs, torch_absolute, torch_acosh, torch_amax, torch_amin, torch_arccos, torch_arccosh, torch_arcsin, torch_arcsinh, torch_arctan, torch_arctanh, torch_asinh, torch_atanh, torch_atleast_1d, torch_atleast_2d, torch_atleast_3d, torch_block_diag, torch_bucketize, torch_channel_shuffle, torch_clip, torch_clone and 58 more
0.1.1
record
2020-10-20 · diff ↗ ·
added 14 exports
nn_contrib_sparsemax, nn_utils_clip_grad_norm_, nn_utils_clip_grad_value_, nnf_contrib_sparsemax, optim_adadelta, optim_adagrad, optim_asgd, optim_rmsprop, optim_rprop, torch_get_num_interop_threads, torch_get_num_threads, torch_scalar_tensor, torch_set_num_interop_threads, torch_set_num_threads
0.1.0
record
2020-09-28 · diff ↗ ·
added 30 exports
is_nn_buffer, is_nn_module, is_nn_parameter, is_optimizer, lr_lambda, lr_multiplicative, lr_one_cycle, lr_scheduler, lr_step, nn_bce_with_logits_loss, nn_buffer, nn_cosine_embedding_loss, nn_ctc_loss, nn_hinge_embedding_loss, nn_kl_div_loss, nn_l1_loss, nn_margin_ranking_loss, nn_mse_loss, nn_multi_margin_loss, nn_multilabel_margin_loss, nn_multilabel_soft_margin_loss, nn_nll_loss, nn_pairwise_distance, nn_parameter, nn_poisson_nll_loss, nn_smooth_l1_loss, nn_soft_margin_loss, nn_triplet_margin_loss, nn_triplet_margin_with_distance_loss, nnf_triplet_margin_with_distance_loss
unarchivedReturned to CRAN
2020-09-18
0.0.3
record
2020-09-18 · diff ↗ ·
added 6 exports
%>%, is_torch_device, is_undefined_tensor, torch_celu, torch_relu, torch_selu
archivedRemoved from CRAN
2020-09-13
check issues still had not been corrected
unarchivedReturned to CRAN
2020-08-31
0.0.2
record
2020-08-31 · diff ↗ ·
added 22 exports
load_state_dict, nn_adaptive_avg_pool1d, nn_adaptive_avg_pool2d, nn_adaptive_avg_pool3d, nn_adaptive_max_pool1d, nn_adaptive_max_pool2d, nn_adaptive_max_pool3d, nn_avg_pool1d, nn_avg_pool2d, nn_avg_pool3d, nn_fractional_max_pool2d, nn_fractional_max_pool3d, nn_lp_pool1d, nn_lp_pool2d, nn_max_pool3d, nn_max_unpool1d, nn_max_unpool2d, nn_max_unpool3d, nnf_sigmoid, torch_finfo, torch_iinfo, torch_manual_seed
archivedRemoved from CRAN
2020-08-26
check issues were not corrected in time Installation failures with parallel make
0.0.1
record
2020-08-06
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-08-06
Total releases: 32 / 6 yrs
License: MIT + file LICENSE OSI
Download size: 1.9 MB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("torch")

Format

Kalinowski, T., Badr, H. S., Damiani, A., Falbel, D., Fischer, S., Joachimiak, K., Luraschi, J., Pichler, M., RStudio, , Regouby, C., & Selivanov, D. (2026). torch: Tensors and Neural Networks with 'GPU' Acceleration (Version 0.17.0) [Computer software]. https://doi.org/10.32614/CRAN.package.torch

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for torch version 0.17.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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