v1.2.0 Release
What's Changed
- Add Contributing Guidelines and Update README by @thorstone25 in #35
- Most beamfomers now accept multiple apodization ND-arrays
- Various performance improvements and minor bug fixes
New Features
- ChannelData has expanded Arithmetic and Linear Algebra support
- Added CUDA / OpenCL kernel call caching to improve performance / stability
- New
beamforming_walkthrough.mlx
imaging tutorial
Full Changelog: v1.1.2...v1.2.0