# tensorplay.onnx.export

Source: https://www.tensorplay.cn/docs/generated/tensorplay.onnx.export.html

```python
tensorplay.onnx.export(exported_program: ExportedProgram | Any, f: Any = None, *, input_names: Sequence[str] | None = None, output_names: Sequence[str] | None = None, opset_version: int | None = None, dynamic_axes: Mapping[str, Mapping[int, str] | Sequence[int]] | None = None, do_constant_folding: bool = True, verify: bool = False, rtol: float = 0.0001, atol: float = 1e-05, external_data: bool | None = None, external_data_location: str | None = None, check_model: bool = True) → Any
```

Export a TensorPlay model to ONNX.

Parameters:

- exported_program – an [ExportedProgram](/docs/generated/tensorplay.export.ExportedProgram.html#tensorplay.export.ExportedProgram), or a (model, *args, kwargs) sequence captured on the fly.

- f – file path or writable binary file object. When omitted the ModelProto is returned instead of being written.

- input_names – names for the graph inputs, in placeholder order.

- output_names – names for the graph outputs.

- opset_version – target ONNX opset (default 18, minimum 13).

- dynamic_axes – {value_name: {axis: axis_name}} (or a list of axis indices) marking dimensions that vary at runtime. Applies to both inputs and outputs.

- do_constant_folding – fold subgraphs whose inputs are all constants.

- verify – run the exported model under onnxruntime and compare against eager execution of exported_program.

- rtol/atol – tolerances used by verify.

- external_data – store initializers in a side-car file. None decides from the model size (models at or above the 2 GiB protobuf limit).

- external_data_location – side-car file name for external_data.

- check_model – run onnx.checker over the finished model.

Returns:

The onnx.ModelProto when f is None, else None.