{"DeleteFunc", Func, 21},
		{"Equal", Func, 21},
		{"EqualFunc", Func, 21},
	},
	"math": {
		{"Abs", Func, 0},
		{"Acos", Func, 0},
		{"Acosh", Func, 0},
		{"Asin", Func, 0},
		{"Asinh", Func, 0},
		{"Atan", Func, 0},
		{"Atan2", Func, 0},
		{"Atanh", Func, 0},
		{"Cbrt", Func, 0},
		{"Ceil", Func, 0},
		{"Copysign", Func, 0},
		{"Cos", Func, 0},
		{"Cosh", Func, 0},

}

def TF_AsinOp : TF_Op<"Asin", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes the trignometric inverse sine of x element-wise.";

  let description = [{
The `tf.math.asin` operation returns the inverse of `tf.math.sin`, such that
if `y = tf.math.sin(x)` then, `x = tf.math.asin(y)`.

**Note**: The output of `tf.math.asin` will lie within the invertible range

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more than 2**32 elements.
    *   Unary GPU kernels: Abs, Atanh, Acos, Acosh, Asin, Asinh, Atan, Cos, Cosh, Sin, Sinh, Tan, Tanh.
    *   Binary GPU kernels: AddV2, Sub, Div, DivNoNan, Mul, MulNoNan, FloorDiv, Equal, NotEqual, Greater, GreaterEqual, LessEqual, Less.

* `tf.lite`

-i.left-n.clientLeft,t.clientY-i.top-n.clientTop]}function I(n){return n>0?1:0>n?-1:0}function Z(n,t,e){return(t[0]-n[0])*(e[1]-n[1])-(t[1]-n[1])*(e[0]-n[0])}function V(n){return n>1?0:-1>n?Sa:Math.acos(n)}function X(n){return n>1?Ea:-1>n?-Ea:Math.asin(n)}function $(n){return((n=Math.exp(n))-1/n)/2}function B(n){return((n=Math.exp(n))+1/n)/2}function W(n){return((n=Math.exp(2*n))-1)/(n+1)}function J(n){return(n=Math.sin(n/2))*n}function G(){}function K(n,t,e){return new Q(n,t,e)}function Q(n,t,e...