torch.cdist like function to compute the pairwise euclidean distances between vectors in pytorch_sparse SparseTensors A and B
Project description
pytorch_sparse_addons
Does not support autograd atm
Requires
- python==3.11
- torch==2.3.0
- torch_scatter
- torch_sparse
Usage
from pytorch_sparse_addons.dist import cdist
x = SparseTensor.from_dense(torch.tensor([[1.0,2.0,3.0],[1.0,.0,.0],[.0,1.0,1.0]]))
y = SparseTensor.from_dense(torch.tensor([[1.0,2.0,3.0],[1.0,.0,.0],[.0,1.0,.0],[.0,1.0,2.0],[.0,1.0,2.0]]))
result = cdist(x,y)
Building
Build for compute capability 6.1, 7.0, ,7.5, 8.0, 8.6, 8.9
to support your cards compute capability e.g. build with TORCH_CUDA_ARCH_LIST="<compute_capability;other_compute_capability>" pdm build
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