# tensorplay.onnx.verify_model

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

```python
tensorplay.onnx.verify_model(model: Any, *, expected: Any, input_names: Sequence[str], example_inputs: dict[str, Any], rtol: float = 0.0001, atol: float = 1e-05, raise_on_mismatch: bool = True) → VerificationResult
```

Compare model under onnxruntime against the eager result.

Parameters:

- model – the built ModelProto.

- expected – what eager TensorPlay produced for example_inputs — a tensor, or an arbitrarily nested tuple/list of them.

- input_names – ONNX graph input names, in placeholder order.

- example_inputs – placeholder name -> example tensor.

- rtol/atol – tolerances forwarded to numpy.allclose().

- raise_on_mismatch – raise [VerificationError](/docs/generated/tensorplay.onnx.VerificationError.html#tensorplay.onnx.VerificationError) instead of returning a failed result.