TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_GreaterEqualOp : TF_Op<"GreaterEqual", [Pure, ResultsBroadcastableShape]>,
                        WithBroadcastableCmpOpBuilder {
  let summary = "Returns the truth value of (x >= y) element-wise.";

  let description = [{
*NOTE*: `GreaterEqual` supports broadcasting. More about broadcasting
[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

	{
		name:   "GreaterThan",
		argLen: 1,
		reg: regInfo{
			outputs: []outputInfo{
				{0, 21503}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 R12 R14
			},
		},
	},
	{
		name:   "GreaterEqual",
		argLen: 1,
		reg: regInfo{
			outputs: []outputInfo{
				{0, 21503}, // R0 R1 R2 R3 R4 R5 R6 R7 R8 R9 R12 R14
			},
		},
	},
	{
		name:   "LessThanU",
		argLen: 1,

    *   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`
    * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication

### Bug Fixes and Other Changes