Releases: CannyLab/tsne-cuda
Releases · CannyLab/tsne-cuda
Version 3.0.1 Release
Minor updates to make things easier to package for anaconda
- Removed setuptools dependency at runtime
- Updated code to clear incorrect pip/faiss requirement
- FIxed bugs with write_python_version_string.cmake
Version 3.0.0 Release
This release modifies the code to support newer versions of CUDA (up to 11.3), as well as includes several additional bug fixes. It also adds multi-gpu support, and support for the new Ampere GPUs with CUDA 11.x.
2.1
Bug fixes + logging
- Fixes issue with early exaggeration not being passed through with python bindings
- Fixes issue with calculation of normalization constant that affected embeddings on large datasets
- Fixes conda compilation issues and allows download through conda
- Adds some logging of the early phases (KNN computation, etc.)
FIt-SNE Refactor
Major refactor of the code, switching to using the FIt-SNE algorithm.
These changes, as well as other fixes along the way result in:
- Faster runtime
- Lower memory footprint
- Bug fixes for compilation
- Increased stability during runtime
- Support for CUDA 10