lib/tensor_stream/evaluator/operation_helpers/array_ops_helper.rb
def broadcast_dimensions(input, dims = [])
      return input if dims.empty?

      d = dims.shift

      if input.is_a?(Array) && (get_rank(input) - 1) == dims.size
        row_to_dup = input.collect { |item|
          broadcast_dimensions(item, dims.dup)
        }

        row_to_dup + Array.new(d) { row_to_dup }.flatten(1)
      elsif input.is_a?(Array)
        Array.new(d) { broadcast_dimensions(input, dims.dup) }
      else
        Array.new(d + 1) { input }
      end
    end
def broadcast_dimensions(input, dims = [])
      return input if dims.empty?

      d = dims.shift

      if input.is_a?(Array) && (get_rank(input) - 1) == dims.size
        row_to_dup = input.collect { |item|
          broadcast_dimensions(item, dims.dup)
        }

        row_to_dup + Array.new(d) { row_to_dup }.flatten(1)
      elsif input.is_a?(Array)
        Array.new(d) { broadcast_dimensions(input, dims.dup) }
      else
        Array.new(d + 1) { input }
      end
    end
explicit broadcasting helper