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.