message: Register PartitionedCallOp in the TensorFlow MLIR dialect
  This is auto-generated from the TensorFlow registry.
diff: @@ -2865,6 +2865,31 @@ pad(t, paddings) ==> [[0, 0, 0, 0, 0, 0]
  TF_DerivedOperandTypeAttr Tpaddings = TF_DerivedOperandTypeAttr<1>;
  }
  +def TF_PartitionedCallOp : TF_Op<"PartitionedCall", [NoSideEffect]> {
  + let summary = [{
  +returns `f(inputs)`, where `f`'s body is placed and partitioned.
  + }];
  +
  + let description = [{
  + }];
  +
  + let arguments = (ins
  + Variadic<TF_Tensor>:$args,
  +
  + SymbolRefAttr:$f,
  + StrAttr:$config,
  + StrAttr:$config_proto,
  + StrAttr:$executor_type
  + );
  +
  + let results = (outs
  + Variadic<TF_Tensor>:$output
  + );
  +
  + TF_DerivedOperandTypeListAttr Tin = TF_DerivedOperandTypeListAttr<0>;
  + TF_DerivedResultTypeListAttr Tout = TF_DerivedResultTypeListAttr<0>;
  +}
  +
  def TF_PowOp : TF_Op<"Pow", [Broadcastable, NoSideEffect]>,
  WithBroadcastableBinOpBuilder {
  let summary = "Computes the power of one value to another.";
  