# OpContext

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

```python
class tensorplay.onnx.OpContext(builder: GraphBuilder, node_name: str, params: Sequence[str], args: Sequence[Any], kwargs: dict[str, Any], out_shape: tuple | None = None, out_dtype: dtype | None = None)
```

Argument access plus emission helpers handed to every handler.

```python
cast_like(value: Any, reference: Any, name_hint: str = 'const') → str
```

Name for value, materialized with reference’s dtype.

```python
name(value: Any, name_hint: str = 'const') → str
```

ONNX value name for value, materializing constants on demand.

```python
property x: Any
```

First declared argument (the input tensor for nearly every op).