Add support for EdgeProgram test inference with multiple outputs

Author: skywall

backends/nxp/tests/executors.py

@@ -45,6 +45,10 @@ def inference(self, input_data: Union[numpy.ndarray, Dict[int, numpy.ndarray]])
             return output.detach().numpy()
         elif isinstance(output, tuple) and len(output) == 1:
             return output[0].detach().numpy()
+        elif isinstance(output, tuple):
+            output_names = self.edge_program.graph_signature.user_outputs
+
+            return {name: tensor.detach().numpy() for (name, tensor) in zip(output_names, output)}
 
         raise RuntimeError("Edge program inference with multiple outputs not implemented")