nnmnkwii.autograd.unit_variance_mlpg¶
-
nnmnkwii.autograd.
unit_variance_mlpg
(R, means)[source]¶ Special case of MLPG assuming data is normalized to have unit variance.
Parameters: - means (torch.autograd.Variable) – Means, of shape (
T x D
) or (T*num_windows x static_dim
). Seennmnkwii.paramgen.reshape_means()
to reshape means from (T x D
) to (T*num_windows x static_dim
). - R (torch.FloatTensor) – MLPG matrix.
See also
nnmnkwii.autograd.UnitVarianceMLPG
,nnmnkwii.paramgen.unit_variance_mlpg_matrix()
,reshape_means()
.- means (torch.autograd.Variable) – Means, of shape (