Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
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，这一点在服务器推荐中也有详细论述
Credit: Tina Rowden / HBO
qemu-system-x86_64 -m 8G -cpu host -smp 4 -boot d -hda vm_disk.qcow2 -netdev user,id=mynet0 -device e1000,netdev=mynet0 -serial stdio -enable-kvm
f(x1,x2)=x1⋅Swish(x2)=x1⋅(x2⋅σ(x2))