* PyTorch 1.6.0 wheels * Fixed a bug in `radius` where the `max_num_neighbors` argument has been ignored
1.5.6
This release fixes some issues in the new `knn` and `radius` CPU implementations that have led to memory leaks. It is strongly recommended to update the package in case you are currently using `torch-cluster==1.5.5`.
1.5.5
* `torch-cluster` is now fully-jittable thanks to new implementations for `knn` and `radius` based on `nanoflann` rather than `scipy`.
1.5.4
Fixed a bug in the CUDA version of `fps`.
1.5.3
Fixes regarding proper usage of `fps` and `radius`.
1.5.2
This release introduces traceable `torch-cluster` operators using `torch.jit.script`. As a result, PyTorch 1.4 is now required to install this package. We also provide Python wheels for common OS/CUDA combinations (see README).