Package ‘torch’ August 17, 2021 Type Package Title Tensors and Neural Networks with 'GPU' Acceleration Version 0.5.0 Description 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. License MIT + file LICENSE URL https://torch.mlverse.org/docs, https://github.com/mlverse/torch BugReports https://github.com/mlverse/torch/issues Encoding UTF-8 SystemRequirements C++11, LibTorch (https://pytorch.org/) LinkingTo Rcpp Imports Rcpp, R6, withr, rlang, methods, utils, stats, bit64, magrittr, tools, coro, callr, cli, ellipsis RoxygenNote 7.1.1 Suggests testthat (>= 3.0.0), covr, knitr, rmarkdown, glue, palmerpenguins, mvtnorm, numDeriv, katex VignetteBuilder knitr Collate 'R7.R' 'RcppExports.R' 'tensor.R' 'autograd.R' 'backends.R' 'codegen-utils.R' 'compat-purrr.R' 'compilation_unit.R' 'conditions.R' 'contrib.R' 'creation-ops.R' 'cuda.R' 'device.R' 'dimname_list.R' 'utils.R' 'distributions-constraints.R' 'distributions-utils.R' 'distributions-exp-family.R' 'distributions.R' 'distributions-bernoulli.R' 'distributions-categorical.R' 'distributions-gamma.R' 'distributions-chi2.R' 'distributions-mixture_same_family.R' 'distributions-multivariate_normal.R' 'distributions-normal.R' 'distributions-poisson.R' 'dtype.R' 'gen-method.R' 'gen-namespace-docs.R' 'gen-namespace-examples.R' 'gen-namespace.R' 'generator.R' 'help.R' 'indexing.R' 1 2 R topics documented: 'install.R' 'ivalue.R' 'jit-compile.R' 'lantern_load.R' 'lantern_sync.R' 'layout.R' 'linalg.R' 'memory_format.R' 'utils-data.R' 'nn.R' 'nn-activation.R' 'nn-batchnorm.R' 'nn-conv.R' 'nn-distance.R' 'nn-dropout.R' 'nn-init.R' 'nn-linear.R' 'nn-loss.R' 'nn-normalization.R' 'nn-pooling.R' 'nn-rnn.R' 'nn-sparse.R' 'nn-utils-clip-grad.R' 'nn-utils-rnn.R' 'nn-utils.R' 'nn_adaptive.R' 'nnf-activation.R' 'nnf-batchnorm.R' 'nnf-conv.R' 'nnf-distance.R' 'nnf-dropout.R' 'nnf-embedding.R' 'nnf-fold.R' 'nnf-instancenorm.R' 'nnf-linear.R' 'nnf-loss.R' 'nnf-normalization.R' 'nnf-padding.R' 'nnf-pixelshuffle.R' 'nnf-pooling.R' 'nnf-upsampling.R' 'nnf-vision.R' 'operators.R' 'optim.R' 'optim-adadelta.R' 'optim-adagrad.R' 'optim-adam.R' 'optim-asgd.R' 'optim-lbfgs.R' 'optim-lr_scheduler.R' 'optim-rmsprop.R' 'optim-rprop.R' 'optim-sgd.R' 'package.R' 'qscheme.R' 'quantization.R' 'reduction.R' 'save.R' 'scalar.R' 'script_module.R' 'stack.R' 'storage.R' 'tensor_options.R' 'threads.R' 'trace.R' 'type-info.R' 'utils-data-collate.R' 'utils-data-dataloader.R' 'utils-data-enum.R' 'utils-data-fetcher.R' 'utils-data-sampler.R' 'utils-pipe.R' 'variable_list.R' 'with-indices.R' 'wrapers.R' NeedsCompilation yes Author Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph] Maintainer Daniel Falbel <[email protected]> Repository CRAN Date/Publication 2021-08-17 16:30:02 UTC R topics documented: as_array . 16 AutogradContext . 16 autograd_backward . 18 autograd_function . 19 autograd_grad . 20 autograd_set_grad_mode . 22 backends_mkldnn_is_available . 22 backends_mkl_is_available . 22 backends_openmp_is_available . 23 broadcast_all . 23 Constraint . 24 R topics documented: 3 contrib_sort_vertices . 25 cuda_current_device . 25 cuda_device_count . 26 cuda_is_available . 26 dataloader . 26 dataloader_make_iter . 28 dataloader_next . 28 dataset . 29 dataset_subset . 30 Distribution . 30 distr_bernoulli . 33 distr_categorical . 34 distr_chi2 . 35 distr_gamma . 36 distr_mixture_same_family . 36 distr_multivariate_normal . 37 distr_normal . 38 distr_poisson . 39 enumerate . 40 enumerate.dataloader . 40 get_install_libs_url . 41 install_torch . 41 install_torch_from_file . 42 is_dataloader . 43 is_nn_buffer . 43 is_nn_module . 43 is_nn_parameter . 44 is_optimizer . 44 is_torch_device . 44 is_torch_dtype . 45 is_torch_layout . 45 is_torch_memory_format . 45 is_torch_qscheme . 46 is_undefined_tensor . 46 jit_compile . 46 jit_load . 47 jit_save . 47 jit_scalar . 48 jit_trace . 48 jit_trace_module . 50 jit_tuple . 51 linalg_cholesky . 51 linalg_cholesky_ex . 52 linalg_cond . 53 linalg_det . 55 linalg_eig . 56 linalg_eigh . 57 linalg_eigvals . 59 4 R topics documented: linalg_eigvalsh . 60 linalg_householder_product . 61 linalg_inv . 62 linalg_inv_ex . 63 linalg_lstsq . 64 linalg_matrix_norm . 66 linalg_matrix_power . 68 linalg_matrix_rank . 69 linalg_multi_dot . 70 linalg_norm . 71 linalg_pinv . 72 linalg_qr . 74 linalg_slogdet . 75 linalg_solve . 76 linalg_svd . 77 linalg_svdvals . 79 linalg_tensorinv . 80 linalg_tensorsolve . 81 linalg_vector_norm . 82 load_state_dict . 83 lr_lambda . 84 lr_multiplicative . 85 lr_one_cycle . ..