"true": integerType, "false": integerType, "null": integerType, "in": integerType, "as": integerType,
				"break": integerType, "const": integerType, "continue": integerType, "else": integerType,
				"for": integerType, "function": integerType, "if": integerType, "import": integerType,
				"let": integerType, "loop": integerType, "package": integerType, "namespace": integerType,

    TFL_I32OrI64Tensor:$output
  );

  let hasOptions = 1;

  DerivedTFLiteTypeAttr output_type = DerivedTFLiteTypeAttr<[{
    return getResult().getType().cast<TensorType>().getElementType().
        cast<IntegerType>().getWidth() > 32 ? tflite::TensorType_INT64 :
            tflite::TensorType_INT32;
    }], [{
      TypeAttr::get(getResult().getType().cast<TensorType>().getElementType())
    }]>;
}

    }
    if (ftype.isF64()) {
      return tflite::TensorType_COMPLEX128;
    }
    return Status(absl::StatusCode::kInvalidArgument, "Unsupported type");
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        return tflite::TensorType_BOOL;
      case 4:
        if (itype.isUnsigned()) {
          return Status(absl::StatusCode::kInvalidArgument,