lib/tensor_stream/evaluator/operation_helpers/array_ops_helper.rb
def transpose_with_perm(arr, new_arr, shape, new_shape, perm)
      arr_size = shape.reduce(:*)
      divisors = shape.dup.drop(1).reverse.inject([1]) { |a, s|
        a << s * a.last
      }.reverse

      multipliers = new_shape.dup.drop(1).reverse.inject([1]) { |a, s|
        a << s * a.last
      }.reverse

      arr_size.times do |p|
        ptr = p
        index = []
        divisors.each_with_object(index) do |div, a|
          a << (ptr / div.to_f).floor
          ptr = ptr % div
        end

        # remap based on perm
        remaped = perm.map { |x| index[x] }

        ptr2 = 0
        multipliers.each_with_index do |m, idx|
          ptr2 += remaped[idx] * m
        end

        new_arr[ptr2] = arr[p]
      end

      [new_arr, new_shape]
    end
def transpose_with_perm(arr, new_arr, shape, new_shape, perm)
      arr_size = shape.reduce(:*)
      divisors = shape.dup.drop(1).reverse.inject([1]) { |a, s|
        a << s * a.last
      }.reverse

      multipliers = new_shape.dup.drop(1).reverse.inject([1]) { |a, s|
        a << s * a.last
      }.reverse

      arr_size.times do |p|
        ptr = p
        index = []
        divisors.each_with_object(index) do |div, a|
          a << (ptr / div.to_f).floor
          ptr = ptr % div
        end

        # remap based on perm
        remaped = perm.map { |x| index[x] }

        ptr2 = 0
        multipliers.each_with_index do |m, idx|
          ptr2 += remaped[idx] * m
        end

        new_arr[ptr2] = arr[p]
      end

      [new_arr, new_shape]
    end
general case transposition with flat arrays