use time.perf_counter

test/run_test.py

@@ -1826,9 +1826,14 @@ def run_test_module(
         test_name = test.name
 
         # Printing the date here can help diagnose which tests are slow
-        print_to_stderr(f"Running {str(test)} ... [{datetime.now()}]")
+        start = time.perf_counter()
+        print_to_stderr(f"Running {str(test)} ... [{datetime.now()}][{start}]")
         handler = CUSTOM_HANDLERS.get(test_name, run_test)
         return_code = handler(test, test_directory, options)
+        end = time.perf_counter()
+        print_to_stderr(
+            f"Finished {str(test)} ... [{datetime.now()}][{end}], took {(end - start) / 60:.2f}min"
+        )
         assert isinstance(return_code, int) and not isinstance(return_code, bool), (
             f"While running {str(test)} got non integer return code {return_code}"
         )

torch/_dynamo/config.py

@@ -445,7 +445,7 @@ use_numpy_random_stream = False
 enable_cpp_guard_manager = True
 
 # Use C++ guard manager for symbolic shapes
-enable_cpp_symbolic_shape_guards = False
+enable_cpp_symbolic_shape_guards = not is_fbcode()
 
 # Enable tracing through contextlib.contextmanager
 enable_trace_contextlib = True