class_docstr: GroupLasso Regularizer:
  The first dimension represents the input layer and the second dimension represents the output layer.
  The groups are defined by the column in the matrix W
class_docstr_tok: ["GroupLasso","Regularizer",":","The","first","dimension","represents","the","input","layer","and","the","second","dimension","represents","the","output","layer",".","The","groups","are","defined","by","the","column","in","the","matrix","W"]
code: def __inputs_groups_reg(layer_weights):
      return GroupLassoRegularizer.__grouplasso_reg(
          groups=layer_weights, dim=1
      )
  
imports: from enum import Enum
label_desc: Use image node_id 5 for calling the GroupLassoRegularizer obj's underlying member method code with example usage: obj.__inputs_groups_reg(layer_weights) and returns: GroupLassoRegularizer