# tensorplay.stax.stax

Source: https://www.tensorplay.cn/docs/generated/tensorplay.stax.stax.html

```python
tensorplay.stax.stax(graph_module: GraphModule, example_inputs: list[Any], *, mode: str | None = None, options: dict[str, Any] | None = None, name: str | None = None, dynamic: bool | None = None, strict_native: bool = False, **kwargs: Any)
```

Compile one canonical graph and return an executable callable.

example_inputs and backend options are part of the same contract as
metadata in the frontend and uses the native graph when its lowering
contract is satisfied.  strict_native makes a failed lowering a hard
compiler error, so a benchmark can never report the Python GraphModule
executor as compiled performance.