}
func isExact(x float64) bool {
	// Special cases that should match exactly.  Other cases are multiples
	// of Pi that may not be last bit identical on all platforms.
	return math.IsNaN(x) || math.IsInf(x, 0) || x == 0 || x == 1 || x == -1
}

func TestAbs(t *testing.T) {
	for i := 0; i < len(vc); i++ {
		if f := Abs(vc[i]); !veryclose(abs[i], f) {
			t.Errorf("Abs(%g) = %g, want %g", vc[i], f, abs[i])
		}

pkg math/big, method (*Float) Format(fmt.State, int32)
pkg math/big, method (*Float) Int(*Int) (*Int, Accuracy)
pkg math/big, method (*Float) Int64() (int64, Accuracy)
pkg math/big, method (*Float) IsInf() bool
pkg math/big, method (*Float) IsInt() bool
pkg math/big, method (*Float) MantExp(*Float) int
pkg math/big, method (*Float) MinPrec() uint
pkg math/big, method (*Float) Mode() RoundingMode

          // Unary
          {"PW",
           {"ComplexAbs", "Angle", "Conj", "Abs", "Acos", "Acosh", "Asin",
            "Atan", "Atanh", "Ceil", "Cos", "Cosh", "Sin", "Exp", "Expm1",
            "Floor", "IsFinite", "IsInf", "IsNan", "Inv", "Reciprocal", "Log",
            "Log1p", "Invert", "LogicalNot", "Ndtri", "Neg", "Rint", "Round",
            "Rsqrt", "Sigmoid", "Sign", "Sinh", "Softplus", "Softsign", "Sqrt",

  // CHECK: %[[RESULT:.*]] = "tf.Equal"(%[[ABS]], %[[INF]]) <{incompatible_shape_error = true}> : (tensor<3x4xf32>, tensor<f32>) -> tensor<3x4xi1>
  %0 = "tf.IsInf"(%arg0) : (tensor<3x4xf32>) -> tensor<3x4xi1>
  // CHECK: return %[[RESULT]]
  func.return %0 : tensor<3x4xi1>
}

// CHECK-LABEL: @is_nan
func.func @is_nan(%arg0: tensor<3x4xf32>) -> tensor<3x4xi1> {

		if f := Gamma(vf[i]); !close(gamma[i], f) {
			t.Errorf("Gamma(%g) = %g, want %g", vf[i], f, gamma[i])
		}
	}
	for _, g := range vfgamma {
		f := Gamma(g[0])
		var ok bool
		if IsNaN(g[1]) || IsInf(g[1], 0) || g[1] == 0 || f == 0 {
			ok = alike(g[1], f)
		} else if g[0] > -50 && g[0] <= 171 {
			ok = veryclose(g[1], f)
		} else {
			ok = close(g[1], f)
		}
		if !ok {

		{"Float64bits", Func, 0},
		{"Float64frombits", Func, 0},
		{"Floor", Func, 0},
		{"Frexp", Func, 0},
		{"Gamma", Func, 0},
		{"Hypot", Func, 0},
		{"Ilogb", Func, 0},
		{"Inf", Func, 0},
		{"IsInf", Func, 0},
		{"IsNaN", Func, 0},
		{"J0", Func, 0},
		{"J1", Func, 0},
		{"Jn", Func, 0},
		{"Ldexp", Func, 0},
		{"Lgamma", Func, 0},
		{"Ln10", Const, 0},
		{"Ln2", Const, 0},

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_IsInfOp : TF_Op<"IsInf", [Pure, SameOperandsAndResultShape]> {
  let summary = "Returns which elements of x are Inf.";

  let description = [{
@compatibility(numpy)
Equivalent to np.isinf
@end_compatibility

Example:

```python
x = tf.constant([5.0, np.inf, 6.8, np.inf])

pkg math, func Frexp(float64) (float64, int)
pkg math, func Gamma(float64) float64
pkg math, func Hypot(float64, float64) float64
pkg math, func Ilogb(float64) int
pkg math, func Inf(int) float64
pkg math, func IsInf(float64, int) bool
pkg math, func IsNaN(float64) bool
pkg math, func J0(float64) float64
pkg math, func J1(float64) float64
pkg math, func Jn(int, float64) float64
pkg math, func Ldexp(float64, int) float64