Added repr for torchapp

predtuner/torchapp.py

@@ -124,6 +124,14 @@ class TorchApp(ModeledApp, abc.ABC):
         qos = self.combine_qos(np.array(qoses))
         return 0.0, qos
 
+    def __repr__(self) -> str:
+        class_name = self.__class__.__name__
+        module_class_name = type(self.module).__name__
+        return (
+            f'{class_name}"{self.name}"(module={module_class_name}, '
+            f"num_op={len(self._op_knobs)}, num_knob={len(self.name_to_knob)})"
+        )
+
     @torch.no_grad()
     def _get_raw_output_valset(self, with_approxes: KnobsT):
         approxed = self._apply_knobs(with_approxes)