Use torch.sparse.mm for PyTorch>=2.0 and CPU-based SparseTensor

[rusty1s]

No description provided.

[codecov]

Codecov Report

Merging #6759 (367f88c) into master (e9dc546) will decrease coverage by 1.57%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #6759      +/-   ##
==========================================
- Coverage   90.78%   89.21%   -1.57%     
==========================================
  Files         425      425              
  Lines       23152    23115      -37     
==========================================
- Hits        21019    20623     -396     
- Misses       2133     2492     +359     

Impacted Files	Coverage Δ
torch_geometric/utils/spmm.py	100.00% <ø> (ø)
torch_geometric/nn/models/dimenet_utils.py	0.00% <0.00%> (-75.52%)	⬇️
torch_geometric/nn/models/dimenet.py	17.66% <0.00%> (-49.78%)	⬇️
torch_geometric/visualization/graph.py	68.25% <0.00%> (-26.99%)	⬇️
torch_geometric/nn/conv/utils/typing.py	83.75% <0.00%> (-15.00%)	⬇️
torch_geometric/nn/pool/asap.py	91.89% <0.00%> (-8.11%)	⬇️
torch_geometric/resolver.py	82.75% <0.00%> (-6.90%)	⬇️
torch_geometric/nn/dense/linear.py	88.97% <0.00%> (-5.92%)	⬇️
torch_geometric/nn/models/attentive_fp.py	95.83% <0.00%> (-4.17%)	⬇️
torch_geometric/sampler/neighbor_sampler.py	91.56% <0.00%> (-3.22%)	⬇️
... and 29 more

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