);

  TF_DerivedOperandSizeAttr N = TF_DerivedOperandSizeAttr<0>;
  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

  let hasFolder = 1;
}

def TF_AddV2Op : TF_Op<"AddV2", [Commutative, Pure, ResultsBroadcastableShape, TF_CwiseBinary, TF_LayoutAgnostic, TF_SameOperandsAndResultElementTypeResolveRef]>,
                 WithBroadcastableBinOpBuilder {
  let summary = "Returns x + y element-wise.";

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