skip Glm4MoeModelTest::test_torch_compile_for_training (#39670)

* fix

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/glm4_moe/test_modeling_glm4_moe.py

@@ -79,8 +79,8 @@ class Glm4MoeModelTest(CausalLMModelTest, unittest.TestCase):
     test_pruning = False
     fx_compatible = False
     model_tester_class = Glm4MoeModelTester
-    # used in `test_torch_compile_for_training`
-    _torch_compile_train_cls = Glm4MoeForCausalLM if is_torch_available() else None
+    # used in `test_torch_compile_for_training`. Skip as "Dynamic control flow in MoE"
+    _torch_compile_train_cls = None
 
 
 @require_torch_accelerator

tests/test_modeling_common.py

@@ -4476,7 +4476,7 @@ class ModelTesterMixin:
         if version.parse(torch.__version__) < version.parse("2.3"):
             self.skipTest(reason="This test requires torch >= 2.3 to run.")
 
-        if not hasattr(self, "_torch_compile_train_cls"):
+        if getattr(self, "_torch_compile_train_cls", None) is None:
             self.skipTest(f"{self.__class__.__name__} doesn't have the attribute `_torch_compile_train_cls`.")
 
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()