return true
	}
	return false
}
func rewriteValueARM64_OpARM64LessEqual(v *Value) bool {
	v_0 := v.Args[0]
	b := v.Block
	// match: (LessEqual (CMPconst [0] z:(AND x y)))
	// cond: z.Uses == 1
	// result: (LessEqual (TST x y))
	for {
		if v_0.Op != OpARM64CMPconst || auxIntToInt64(v_0.AuxInt) != 0 {
			break
		}
		z := v_0.Args[0]
		if z.Op != OpARM64AND {
			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