message: Adding reference to the following classes:
  ConvolutionDeltaOrthogonal
  ConvolutionOrthogonal1D
  ConvolutionOrthogonal2D
  ConvolutionOrthogonal3D
diff: @@ -551,7 +551,9 @@ class ConvolutionDeltaOrthogonal(Initializer):
  The shape of the tensor must have length 3, 4 or 5. The number of input
  filters must not exceed the number of output filters. The center pixels of the
  - tensor form an orthogonal matrix. Other pixels are set to be zero.
  + tensor form an orthogonal matrix. Other pixels are set to be zero. See
  + algorithm 2 in [Xiao et al., 2018]: https://arxiv.org/abs/1806.05393
  +
  Args:
  gain: Multiplicative factor to apply to the orthogonal matrix. Default is 1.
  @@ -672,6 +674,7 @@ class ConvolutionOrthogonal2D(ConvolutionOrthogonal):
  filters must not exceed the number of output filters.
  The orthogonality(==isometry) is exact when the inputs are circular padded.
  There are finite-width effects with non-circular padding (e.g. zero padding).
  + See algorithm 1 in [Xiao et al., 2018]: https://arxiv.org/abs/1806.05393
  Args:
  gain: Multiplicative factor to apply to the orthogonal matrix. Default is 1.
  @@ -807,6 +810,7 @@ class ConvolutionOrthogonal1D(ConvolutionOrthogonal):
  filters must not exceed the number of output filters.
  The orthogonality(==isometry) is exact when the inputs are circular padded.
  There are finite-width effects with non-circular padding (e.g. zero padding).
  + See algorithm 1 in [Xiao et al., 2018]: https://arxiv.org/abs/1806.05393
  Args:
  gain: Multiplicative factor to apply to the orthogonal matrix. Default is 1.
  @@ -923,6 +927,7 @@ class ConvolutionOrthogonal3D(ConvolutionOrthogonal):
  filters must not exceed the number of output filters.
  The orthogonality(==isometry) is exact when the inputs are circular padded.
  There are finite-width effects with non-circular padding (e.g. zero padding).
  + See algorithm 1 [Xiao et al., 2018] in: https://arxiv.org/abs/1806.05393
  Args:
  gain: Multiplicative factor to apply to the orthogonal matrix. Default is 1.
  