// arm64:`LSL\t[$]5`,`ADD\sR[0-9]+<<1,\sR[0-9]+`,-`MUL`
	// arm:`SLL\t[$]5`,`ADD\sR[0-9]+<<1,\sR[0-9]+`,-`MUL`
	// s390x:`SLD\t[$]5`,`SLD\t[$]6`,-`MULLD`
	return n * 96
}

func Mul_n120(n int) int {
	// s390x:`SLD\t[$]3`,`SLD\t[$]7`,-`MULLD`
	return n * -120
}

func MulMemSrc(a []uint32, b []float32) {
	// 386:`IMULL\s4\([A-Z]+\),\s[A-Z]+`
	a[0] *= a[1]

        i: 1
      }
    }
  }
  attr {
    key: "use_cudnn_on_gpu"
    value {
      b: true
    }
  }
}
node {
  name: "training/LossScaleOptimizer/mul_120"
  op: "Mul"
  input: "training/LossScaleOptimizer/gradients/bn4e_branch2c_1/FusedBatchNormV2_grad/FusedBatchNormGradV2:2"
  input: "training/LossScaleOptimizer/truediv"