let hasFolder = 1;
}

def TF_MulNoNanOp : TF_Op<"MulNoNan", [Pure, ResultsBroadcastableShape]>,
                    WithBroadcastableBinOpBuilder {
  let summary = [{
Returns x * y element-wise. Returns zero if y is zero, even if x if infinite or NaN.
  }];

  let description = [{
*NOTE*: `MulNoNan` supports broadcasting. More about broadcasting

    *   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