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...

  //  [5, 6],
  //  [7, 8]
  // ]
  // and we do a Prod operation on the axis 1, we will obtain [[105, 192]].
  // The gradient will have the same shape as the input
  //     [
  //       [105/3, 192/4],
  // dz *  [105/5, 192/6],
  //       [105/7, 192/6]
  //     ]
  // If the input contains a zero, the division is impossible but
  // if we take the calculation that gave the first gradient
  // (3 * 5 * 6)/3 is equal to 5 * 6

d��R

    //      |             |
    //   MatMul_2      MatMul_1
    //   ^   ^          ^    ^
    //   |   |----------|    |
    //   |        ^          |
    //   |      dz|          |
    //   |        |          |
    //   |     Const_3       |
    //   |                   |
    //   |        ^          |
    //   |       z|          |     // MatMul Forward Graph