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70 | # File 'lib/torch/native/generator.rb', line 17
def grouped_functions
  functions = functions()
    skip_args = ["bool[3]", "Dimname", "MemoryFormat", "Layout", "Storage", "ConstQuantizerPtr"]
    functions.reject! do |f|
    f.ruby_name.start_with?("_") ||
    f.ruby_name.end_with?("_backward") ||
    f.args.any? { |a| a[:type].include?("Dimname") }
  end
    todo_functions, functions =
    functions.partition do |f|
      f.args.any? do |a|
        a[:type].include?("?") && !["Tensor?", "Generator?", "int?", "ScalarType?"].include?(a[:type]) ||
        skip_args.any? { |sa| a[:type].include?(sa) } ||
                        (f.base_name == "normal" && !f.out?)
      end
    end
      optional_functions, functions = functions.partition { |f| f.args.any? { |a| a[:type] == "int?" } }
  optional_functions.each do |f|
    next if f.ruby_name == "cross"
    next if f.ruby_name.start_with?("avg_pool") && f.out?
    opt_args = f.args.select { |a| a[:type] == "int?" }
    if opt_args.size == 1
      sep = f.name.include?(".") ? "_" : "."
      f1 = Function.new(f.function.merge("func" => f.func.sub("(", "#{sep}#{opt_args.first[:name]}(").gsub("int?", "int")))
            f2 = Function.new(f.function.merge("func" => f.func.sub(/, int\?.+\) ->/, ") ->")))
      functions << f1
      functions << f2
    end
  end
        
  nn_functions, other_functions = functions.partition { |f| f.python_module == "nn" }
  torch_functions = other_functions.select { |f| f.variants.include?("function") }
  tensor_functions = other_functions.select { |f| f.variants.include?("method") }
  {torch: torch_functions, tensor: tensor_functions, nn: nn_functions}
end |