fix minor issues and only gen binary

Author: Zonglin Peng

backends/cadence/aot/export_example.py

@@ -60,6 +60,7 @@ def export_model(
     model: nn.Module,
     example_inputs: Tuple[Any, ...],
     file_name: str = "CadenceDemoModel",
+    run_and_compare: bool = True,
 ):
     # create work directory for outputs and model binary
     working_dir = tempfile.mkdtemp(dir="/tmp")
@@ -112,9 +113,10 @@ def export_model(
     )
 
     # TODO: move to test infra
-    runtime.run_and_compare(
-        executorch_prog=exec_prog,
-        inputs=example_inputs,
-        ref_outputs=ref_outputs,
-        working_dir=working_dir,
-    )
+    if run_and_compare:
+        runtime.run_and_compare(
+            executorch_prog=exec_prog,
+            inputs=example_inputs,
+            ref_outputs=ref_outputs,
+            working_dir=working_dir,
+        )

backends/cadence/aot/utils.py

@@ -162,7 +162,8 @@ def print_ops_info(
 
     # Print the final ops and their counts in a tabular format
     logging.info(
-        tabulate(
+        "\n"
+        + tabulate(
             sorted_ops_count,
             headers=[
                 "Final Operators                                    ",  # one character longer than the longest op name

examples/cadence/operators/add_op.py

@@ -57,7 +57,9 @@ def forward(self, x: torch.Tensor, y: torch.Tensor):
         Y = torch.randn(Yshape)
 
         model.eval()
-        export_model(model, (X, Y))
+        export_model(
+            model, (X, Y), file_name=self._testMethodName, run_and_compare=False
+        )
 
     @parameterized.expand(
         [
@@ -104,4 +106,10 @@ def forward(self, x: torch.Tensor, y: float):
         Y = 2.34
 
         model.eval()
-        export_model(model, (X, Y))
+        export_model(
+            model, (X, Y), file_name=self._testMethodName, run_and_compare=False
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()