1.3.3 🚀
🧭 What's Changed
- to_pytorch now supports a new argument (key_list) that only passes certain tensors to it and speeds up iteration time in case multiple extra tensors are present. (#715) @AbhinavTuli
- Caching present within to_pytorch has been improved to tensors with dynamic shapes (earlier it was saving only the current sample in the cache) (#715) @AbhinavTuli
- Added ability to store DatasetView as a new Dataset (#740) @AbhinavTuli
- Introduces Windows and MacOS tests to circleci (#719) @haiyangdeperci
- Benchmark restructuring and memory profiling (#642) @benchislett
- changed default dtype of classlabel from uint16 to uint8 (#745) @AbhinavTuli
- Updated humbug version (#728) @zomglings
🗂️ Documentation
- Add examples of dataset generation and modification using transforms, trainings with TensorFlow and PyTorch (#675) @kristinagrig06
- Added code and testing notebook for running dataset transforms on a ray cluster. (#713) @kristinagrig06
🐛 Bug Fixes
- Fixed an issue when overwriting transform datasets (#724) @AbhinavTuli
🔗 Dependency Updates
- Bump boto3 from 1.17.41 to 1.17.43 (#742) @dependabot-preview
- Bump boto3 from 1.17.40 to 1.17.41 (#734) @dependabot-preview
- Bump torchvision from 0.9.0 to 0.9.1 (#720) @dependabot-preview
- Bump boto3 from 1.17.39 to 1.17.40 (#730) @dependabot-preview
- Bump boto3 from 1.17.36 to 1.17.39 (#726) @dependabot-preview
- Bump tiledb from 0.8.5 to 0.8.6 (#725) @dependabot-preview
⚙️ Who Contributed
@AbhinavTuli, @Diveafall, @benchislett, @haiyangdeperci, @imshashank, @kristinagrig06 and @zomglings