waxmorph.torch#
Modules
PyTorch Encode-Process-Decode graph network for cell-state updates. |
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PyTorch graph features with detached contact topology. |
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PyTorch losses for row-aligned or unordered point clouds. |
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PyTorch MLP used by the graph network. |
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Torch autograd adapters for Warp mechanics and diffusion. |
Default PyTorch backend.
Import waxmorph.jax explicitly for JAX. The backends differ in loss factories,
graph return shapes, and Warp gradient bridges.