(Less(32|64)U x y) => (LessThan ((CMPWU|CMPU) x y))

(Leq(8|16) x y)  => (LessEqual (CMPW (SignExt(8|16)to32 x) (SignExt(8|16)to32 y)))
(Leq(32|64) x y) => (LessEqual ((CMPW|CMP) x y))
(Leq(32|64)F x y) => (FLessEqual (FCMPU x y))

(Leq(8|16)U x y)  => (LessEqual (CMPWU (ZeroExt(8|16)to32 x) (ZeroExt(8|16)to32 y)))
(Leq(32|64)U x y) => (LessEqual (CMP(WU|U) x y))

// Absorb pseudo-ops into blocks.

}
func rewriteValuePPC64_OpPPC64LessEqual(v *Value) bool {
	v_0 := v.Args[0]
	// match: (LessEqual (FlagEQ))
	// result: (MOVDconst [1])
	for {
		if v_0.Op != OpPPC64FlagEQ {
			break
		}
		v.reset(OpPPC64MOVDconst)
		v.AuxInt = int64ToAuxInt(1)
		return true
	}
	// match: (LessEqual (FlagLT))
	// result: (MOVDconst [1])
	for {
		if v_0.Op != OpPPC64FlagLT {
			break
		}

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

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

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

    *   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