def unit_variance_mlpg(R, means):
"""Special case of MLPG assuming data is normalized to have unit variance.
Args:
means (torch.autograd.Variable): Means, of shape (``T x D``) or
(``T*num_windows x static_dim``). See
:func:`nnmnkwii.paramgen.reshape_means` to reshape means from
(``T x D``) to (``T*num_windows x static_dim``).
R (torch.FloatTensor): MLPG matrix.
See also:
:obj:`nnmnkwii.autograd.UnitVarianceMLPG`,
:func:`nnmnkwii.paramgen.unit_variance_mlpg_matrix`,
:func:`reshape_means`.
"""
return UnitVarianceMLPG(R)(means)
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