Add Apple Silicon GPU Acceleration #1985
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Overview
This PR introduces support for Apple Silicon GPU Acceleration by leveraging the Metal Performance Shaders (MPS) backend. This enhancement ensures that our PyTorch-based machine learning and deep learning workloads can take full advantage of the GPU capabilities provided by the Apple M1 and newer chips, significantly improving computational performance and efficiency.
Checklist
needs-backport
label if the change should be back-ported to the previous release