if !(isSamePtr(p1, p2) && sizeof(t2) == 8 && is64BitFloat(t1) && !math.IsNaN(math.Float64frombits(uint64(x)))) {
			break
		}
		v.reset(OpConst64F)
		v.AuxInt = float64ToAuxInt(math.Float64frombits(uint64(x)))
		return true
	}
	// match: (Load <t1> p1 (Store {t2} p2 (Const32 [x]) _))
	// cond: isSamePtr(p1,p2) && sizeof(t2) == 4 && is32BitFloat(t1) && !math.IsNaN(float64(math.Float32frombits(uint32(x))))

		{"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},
		{"Log", Func, 0},

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_IsNanOp : TF_Op<"IsNan", [Pure, SameOperandsAndResultShape]> {
  let summary = "Returns which elements of x are NaN.";

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

Example:

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

    *   Extend `tf.function` with basic support for CompositeTensors arguments
        (such as `SparseTensor` and `RaggedTensor`).
    *   `parallel_for.pfor`: add converters for Softmax, LogSoftmax, IsNaN, All,
        Any, and MatrixSetDiag.
    *   `parallel_for`: add converters for LowerTriangularSolve and Cholesky.
    *   `parallel_for`: add converters for `LogMatrixDeterminant` and
        `MatrixBandPart`.