# ExportGraphSignature

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

```python
class tensorplay.export.ExportGraphSignature(input_specs: list[InputSpec], output_specs: list[OutputSpec])
```

Describe lifted state, user values, mutations, and graph outputs.

```python
property assertion_dep_token: Mapping[int, str] | None
```

Position of the assertion dependency token output, if present.

```python
clone() → ExportGraphSignature
```

Deep copy: specs and argument records are duplicated, not shared.

```python
get_param_to_buffer() → Mapping[str, str]
```

Map parameter targets to the buffer targets holding their gradients.

Gradients are declared as GRADIENT_TO_PARAMETER outputs; a gradient
for a parameter whose optimizer state lives in a buffer binds the two
targets under the parameter’s FQN.

```python
get_replace_hook(replace_inputs: bool = False)
```

Build a rename hook suitable for graph rewriting passes.

```python
is_buffer(name: str) → bool
```

Whether name is a placeholder carrying a lifted buffer.

```python
is_param(name: str) → bool
```

Whether name is a placeholder carrying a lifted parameter.

```python
replace_all_uses(old: str, new: str) → None
```

Rename a graph value across every input and output spec.