function_libs/torch_lib/ops).
    This [guide](https://pytorch.org/docs/stable/onnx.html#onnx-script-functions) shows how to write and register a custom symbolic function for call_function FX node.
  5. `get_attr`: Indicates an attribute access within the current module. Maps to an ONNX graph initializer.
  6. `output`: Represents the module's output. Maps to an ONNX graph output.

For a granular understanding of how each node type is transformed, refer to the implementation details in `FxOnnxInterpreter`.
z.Transforming FX node {node_repr} to ONNX node.Úfx_node_to_onnxZ