Source code for torch_geometric.transforms.linear_transformation

import torch

[docs]class LinearTransformation(object): r"""Transforms node positions with a square transformation matrix computed offline. Args: matrix (Tensor): tensor with shape :math:`[D, D]` where :math:`D` corresponds to the dimensionality of node positions. """ def __init__(self, matrix): assert matrix.dim() == 2, ( 'Transformation matrix should be two-dimensional.') assert matrix.size(0) == matrix.size(1), ( 'Transformation matrix should be square. Got [{} x {}] rectangular' 'matrix.'.format(*matrix.size())) self.matrix = matrix def __call__(self, data): pos = data.pos.view(-1, 1) if data.pos.dim() == 1 else data.pos assert pos.size(-1) == self.matrix.size(-2), ( 'Node position matrix and transformation matrix have incompatible ' 'shape.') data.pos = torch.matmul(pos, return data def __repr__(self): return '{}({})'.format(self.__class__.__name__, self.matrix.tolist())