Install torch running
library(torch)to use it. Additional software will be downloaded and installed the first time you use torch.
Learn more about the torch package at https://torch.mlverse.org.
There are a few extensions to the core torch package that are useful depending on the kind of data you are working on. See the list below:
torch is the core package in the ecosystem. It provides a GPU accelerated array computation library, a collection of general neural network layers and abstractions for efficiently loading data for deep learning models.
torchvision is an extension providing image loading, transformations, common architectures for computer vision, pre-trained weights and access to commonly used datasets.
If you are developing a torch extension, contact us in GitHub to feature it. We welcome all extensions: datasets, transformations, models, pre-trained models and so on!
If you’re asking for R help, reporting a bug, or requesting a new feature, you’re more likely to succeed if you include a good reproducible example, which is precisely what the reprex package is meant for.