README.md in torch-rb-0.17.1 vs README.md in torch-rb-0.18.0
- old
+ new
@@ -12,18 +12,27 @@
[](https://github.com/ankane/torch.rb/actions)
## Installation
-First, [install LibTorch](#libtorch-installation). With Homebrew, it’s part of the PyTorch package:
+First, [download LibTorch](https://pytorch.org/get-started/locally/). For Mac arm64, use:
```sh
-brew install pytorch
+curl -L https://download.pytorch.org/libtorch/cpu/libtorch-macos-arm64-2.5.0.zip > libtorch.zip
+unzip -q libtorch.zip
```
-Add this line to your application’s Gemfile:
+For Linux x86-64, use the `cxx11 ABI` version. For other platforms, build LibTorch from source.
+Then run:
+
+```sh
+bundle config build.torch-rb --with-torch-dir=/path/to/libtorch
+```
+
+And add this line to your application’s Gemfile:
+
```ruby
gem "torch-rb"
```
It can take 5-10 minutes to compile the extension. Windows is not currently supported.
@@ -396,35 +405,22 @@
```ruby
Torch.zeros(3) # tensor([0, 0, 0])
```
-## LibTorch Installation
+## LibTorch Compatibility
-[Download LibTorch](https://pytorch.org/) (for Linux, use the `cxx11 ABI` version). Then run:
-
-```sh
-bundle config build.torch-rb --with-torch-dir=/path/to/libtorch
-```
-
Here’s the list of compatible versions.
Torch.rb | LibTorch
--- | ---
+0.18.x | 2.5.x
0.17.x | 2.4.x
0.16.x | 2.3.x
0.15.x | 2.2.x
0.14.x | 2.1.x
0.13.x | 2.0.x
0.12.x | 1.13.x
-
-### Homebrew
-
-You can also use Homebrew.
-
-```sh
-brew install pytorch
-```
## Performance
Deep learning is significantly faster on a GPU.