ConcatV2 1
 Const 5
 GreaterEqual 1
 MatMul 1
 Mul 5
 Select 2
 Sigmoid 3
 Snapshot 1
 Split 1
 Tanh 2
cluster 29 size 9
 Add 1
 Mul 2
 RealDiv 2
 Sqrt 2
 Sub 2
cluster 30 size 9
 Add 1
 Mul 2
 RealDiv 2
 Sqrt 2
 Sub 2
cluster 31 size 4
 Mul 3
 UnsortedSegmentSum 1
cluster 32 size 4
 Mul 3

  RunTest({x}, {x_shape}, {y}, {x_shape});
}

TEST_F(NaryGradTest, RealDiv) {
  TensorShape x_shape({3, 2, 5});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
  // Test x / (1 + |x|) rather than x_1 / x_2 to avoid triggering large
  // division errors in the numeric estimator used by the gradient checker.
  auto y =
      RealDiv(scope_, x, Add(scope_, Const<float>(scope_, 1), Abs(scope_, x)));

  // y = x_1 / x_2
  // dy/dx_1 = 1/x_2
  // dy/dx_2 = -x_1/x_2^2
  auto gx_1 = RealDiv(scope, grad_inputs[0], x_2);
  auto gx_2 = Mul(scope, grad_inputs[0],
                  RealDiv(scope, RealDiv(scope, Neg(scope, x_1), x_2), x_2));
  return BinaryGradCommon(scope, op, grad_outputs, gx_1, gx_2);
}
REGISTER_GRADIENT_OP("RealDiv", RealDivGrad);

Status DivNoNanGrad(const Scope& scope, const Operation& op,

    $num_bits, $range_given, $round_mode, $narrow_range, $axis),
  [], [(CopyAttrs $src, $dest)]>;

//===----------------------------------------------------------------------===//
// RealDiv op patterns.
//===----------------------------------------------------------------------===//

def RealDivWithSqrtDivisor : Pat<
  (TF_RealDivOp:$src $arg0, (TF_SqrtOp $arg1)),

  func.return %0: tensor<2xi32>
}

// CHECK-LABEL: func @real_div
func.func @real_div(%arg0: tensor<2xi32>) -> tensor<2xi32> {
  // CHECK-NEXT:  %0 = mhlo.divide %arg0, %arg0 : tensor<2xi32>
  %0 = "tf.RealDiv"(%arg0, %arg0) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32>
  func.return %0: tensor<2xi32>
}

// CHECK-LABEL: func @sub
func.func @sub(%arg0: tensor<2xi32>) -> tensor<2xi32> {

  // CHECK-NEXT: return %arg0 : tensor<2x2xf32>
}

func.func @RemoveTrivialRealDiv(%arg0: tensor<2x2xf32>, %arg1: tensor<2x2xf32>) -> tensor<2x2xf32> {
  %cst = arith.constant dense<1.0> : tensor<2x2xf32>
  %0 = "tf.RealDiv"(%arg0, %cst) : (tensor<2x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32>
  func.return %0 : tensor<2x2xf32>

  // CHECK-LABEL: RemoveTrivialRealDiv
  // CHECK-NEXT: return %arg0 : tensor<2x2xf32>
}

}

func.func @realDiv(%arg0: tensor<8x16xf32>, %arg1: tensor<8x16xf32>) -> tensor<8x16xf32> {
  %0 = "tf.RealDiv"(%arg0, %arg1) : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %0 : tensor<8x16xf32>

// CHECK-LABEL: realDiv
// CHECK:  tfl.div %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<8x16xf32>
}

// CHECK-LABEL: testRealDivWithSqrtDivisor
func.func @testRealDivWithSqrtDivisor(%arg0: tensor<8x16xf32>, %arg1: tensor<8x16xf32>) -> tensor<8x16xf32> {
  %0 = "tf.Sqrt"(%arg1) : (tensor<8x16xf32>) -> tensor<8x16xf32>
  %1 = "tf.RealDiv"(%arg0, %0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %1: tensor<8x16xf32>

            "MulNoNan", "FloorDiv", "Xlogy", "Xlog1py", "Xdivy", "FloorMod",
            "BitwiseAnd", "BitwiseOr", "BitwiseXor", "LeftShift", "RightShift",
            "LogicalAnd", "LogicalOr", "Mod", "Maximum", "Minimum", "RealDiv",
            "ReciprocalGrad", "RsqrtGrad", "SqrtGrad", "TruncateDiv",
            "TruncateMod", "Equal", "NotEqual", "Greater", "GreaterEqual",
            "Less", "LessEqual", "SigmoidGrad", "SoftplusGrad", "SoftsignGrad",

			}
		}()
	}
}

var sealUnsealKeyTests = []struct {
	SealExtKey, SealIV                 [32]byte
	SealDomain, SealBucket, SealObject string

	UnsealExtKey                             [32]byte
	UnsealDomain, UnsealBucket, UnsealObject string

	ShouldPass bool
}{
	{
		SealExtKey: [32]byte{}, SealIV: [32]byte{}, SealDomain: "SSE-C", SealBucket: "bucket", SealObject: "object",