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NeuralCompression 0.2.2 Release, reference version of package prior to refactor
As documented in #188, we are going to work on deduplicating functionality in NeuralCompression from CompressAI. CompressAI is the standard package for neural compression research in PyTorch, and in general we should focus on maintaining only functionality that CompressAI doesn't already have. This release is intended to be a reference release so that any users wishing to continue using the current functionality of NeuralCompression can continue to do so by pinning the version to 0.2.2.
Changes since 0.2.1:
- Patch for rate-distortion calculations (PR #177 and PR #178)
- Removal of C++ extensions (PR #180)
- Deterministic CLIC dataloader ordering (PR #182)
- Removal of JAX-based entropy coders from main package (PR #183)
- Inference-time image padding (PR #185)
- Fix for numpy dtypes (PR #187)
Credits: @KarenUllrich @desi-ivanova @juliusberner @0x00b1