def __init__(
        self,
        int_var: IntVar,
        name: str = None,
        src_ops: Set[Node] = None,
        dst_ops: Set[Node] = None,
        dtype: str = "float16",
        is_input: bool = False,
        is_output: bool = False,
        value: Any = None,
        is_view_of: Any = None,
    ) -> None:
        """Initializes an IntVar Tensor.

        Parameters
        ----------
        int_var: IntVar
            The underlying IntVar variable.
        """
        shape = []
        super().__init__(
            shape,
            name,
            src_ops,
            dst_ops,
            dtype=dtype,
            is_input=is_input,
            is_output=is_output,
        )
        self._attrs["int_var"] = int_var
        self._attrs["symbolic_value"] = int_var._attrs["symbolic_value"]
Initializes an IntVar Tensor.

        Parameters
        ----------
        int_var: IntVar
            The underlying IntVar variable.
        
python/aitemplate/compiler/base.py