v.AuxInt = int64ToAuxInt(-c)
		v.AddArg(x)
		return true
	}
	// match: (NEG (SUB x y))
	// result: (SUB y x)
	for {
		if v_0.Op != OpPPC64SUB {
			break
		}
		y := v_0.Args[1]
		x := v_0.Args[0]
		v.reset(OpPPC64SUB)
		v.AddArg2(y, x)
		return true
	}
	// match: (NEG (NEG x))
	// result: x
	for {
		if v_0.Op != OpPPC64NEG {
			break
		}

  func.return %0 : tensor<?xf32>
}

// CHECK-LABEL:   func @neg(
// CHECK-SAME:              %[[VAL_0:.*]]: tensor<2xf32>) -> tensor<2xf32> {
// CHECK:           %[[VAL_1:.*]] = "tf.Neg"(%[[VAL_0]]) : (tensor<2xf32>) -> tensor<2xf32>
// CHECK:           return %[[VAL_1]] : tensor<2xf32>
// CHECK:         }
func.func @neg(%arg0: tensor<2xf32>) -> tensor<2xf32> {

  %0 = "tf.Log1p"(%arg0) : (tensor<?xf32>) -> tensor<?xf32>
  func.return %0 : tensor<?xf32>
}

// -----

// CHECK-LABEL: @neg
func.func @neg(%arg0: tensor<2xf32>) -> tensor<2xf32> {
  // CHECK:  mhlo.negate %arg0 : tensor<2xf32>
  %0 = "tf.Neg"(%arg0) : (tensor<2xf32>) -> tensor<2xf32>
  func.return %0 : tensor<2xf32>
}

// -----

// CHECK-LABEL: func @neg_dynamic

func.func @prelu_fusion(%arg0: tensor<2x3xf32>) -> tensor<2x3xf32> {
  %alpha = arith.constant dense<-0.2> : tensor<3xf32>
  %0 = "tfl.relu"(%arg0) : (tensor<2x3xf32>) -> tensor<2x3xf32>
  %1 = "tfl.neg"(%arg0) : (tensor<2x3xf32>) -> tensor<2x3xf32>
  %2 = "tfl.relu"(%1) : (tensor<2x3xf32>) -> tensor<2x3xf32>
  %3 = "tfl.mul"(%alpha, %2) {fused_activation_function = "NONE"} : (tensor<3xf32>, tensor<2x3xf32>) -> tensor<2x3xf32>