subspace_overlap

behavenet.fitting.losses.subspace_overlap(A, B, C=None)

Compute inner product between subspaces defined by matrices A and B.

Parameters

• A (torch.Tensor) – shape (a, d)

• B (torch.Tensor) – shape (b, d)

• C (torch.Tensor, optional) – shape (c, d)

Returns

scalar value; Frobenious norm of UU^T divided by number of entries

Return type

torch.Tensor