README.md in torch-rb-0.11.2 vs README.md in torch-rb-0.12.0

- old
+ new

@@ -11,14 +11,14 @@ [![Build Status](https://github.com/ankane/torch.rb/workflows/build/badge.svg?branch=master)](https://github.com/ankane/torch.rb/actions) ## Installation -First, [install LibTorch](#libtorch-installation). For Homebrew, use: +First, [install LibTorch](#libtorch-installation). With Homebrew, it’s part of the PyTorch package: ```sh -brew install libtorch +brew install pytorch ``` Add this line to your application’s Gemfile: ```ruby @@ -407,11 +407,12 @@ Here’s the list of compatible versions. Torch.rb | LibTorch --- | --- -0.11.0+ | 1.12.0+ +0.12.0+ | 1.13.0+ +0.11.0-0.11.2 | 1.12.0-1.12.1 0.10.0-0.10.2 | 1.11.0 0.9.0-0.9.2 | 1.10.0-1.10.2 0.8.0-0.8.3 | 1.9.0-1.9.1 0.6.0-0.7.0 | 1.8.0-1.8.1 0.5.0-0.5.3 | 1.7.0-1.7.1 @@ -423,10 +424,10 @@ ### Homebrew You can also use Homebrew. ```sh -brew install libtorch +brew install pytorch ``` ## Performance Deep learning is significantly faster on a GPU. With Linux, install [CUDA](https://developer.nvidia.com/cuda-downloads) and [cuDNN](https://developer.nvidia.com/cudnn) and reinstall the gem.