code: def forward(self, x, edge_index):
      if self.model_config.return_type.value == "probs":
          x = x.softmax(dim=-1)
      elif self.model_config.return_type.value == "log_probs":
          x = x.log_softmax(dim=-1)
      return x
  
imports: import pytest
  import torch
  from torch_geometric.explain import DummyExplainer, Explainer, ModelConfig, unfaithfulness
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: x