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(Beta) Support for M1 Devices
Since v1.12, PyTorch has been offering native builds for Apple® silicon machines that use Apple's new M1 chip as a prototype feature. In this release, we bring this feature to beta, providing improved support across PyTorch's APIs.
We now run tests for all submodules except torch.distributed on M1 macOS 12.6 instances. With this improved testing, we were able to fix features such as cpp extension and convolution correctness for certain inputs.
To get started, just install PyTorch v1.13 on your Apple silicon Mac running macOS 12 or later with a native version (arm64) of Python. Learn more with our release notes.
Prototype Features

(Prototype) Arm® Compute Library (ACL) backend support for AWS Graviton
We achieved substantial improvements for CV and NLP inference on aarch64 cpu with Arm Compute Library (acl) to enable acl backend for pytorch and torch-xla modules. Highlights include: