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Node updating #4

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erikervalid opened this issue Apr 23, 2022 · 0 comments
Open

Node updating #4

erikervalid opened this issue Apr 23, 2022 · 0 comments

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@erikervalid
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erikervalid commented Apr 23, 2022

x = torch.stack([torch.matmul(e[:, 0], self.A[0, 1:]), x[:, 1], torch.matmul(e[:, 2], self.A[2, 1:])], dim=1)

hi,
Are there bugs in incoming edge torch.matmul(e[ : , 0], self.A[0, 1: ]) ?
Edge (0, 1), (0, 7), (0, 4) are from the hip of a human body, if using self.A[0, 1: ], the first row of A is omitted.
From the point of view of incoming, Vertices 1, 4, 7 would get the edge from vertex 0.
suppose that torch.matmul(e[ : , 0], B)
B = [0 I]
B is 16 x 17. I is 16 x 16 identity. 0 is 16 x 1 zero column.

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