Add FX backward tests back

tests/test_models.py

@@ -386,14 +386,11 @@ def test_model_forward_fx(model_name, batch_size):
     assert not torch.isnan(outputs).any(), 'Output included NaNs'
 
 
-if 'GITHUB_ACTIONS' not in os.environ:
-    # FIXME this test is causing GitHub actions to run out of RAM and abruptly kill the test process
-
-    @pytest.mark.timeout(120)
-    @pytest.mark.parametrize('model_name', list_models(
+@pytest.mark.timeout(120)
+@pytest.mark.parametrize('model_name', list_models(
     exclude_filters=EXCLUDE_FILTERS + EXCLUDE_FX_FILTERS, name_matches_cfg=True))
-    @pytest.mark.parametrize('batch_size', [2])
-    def test_model_backward_fx(model_name, batch_size):
+@pytest.mark.parametrize('batch_size', [2])
+def test_model_backward_fx(model_name, batch_size):
     """Symbolically trace each model and run single backward pass through the resulting GraphModule"""
     if not has_fx_feature_extraction:
         pytest.skip("Can't test FX. Torch >= 1.10 and Torchvision >= 0.11 are required.")
@@ -422,6 +419,9 @@ if 'GITHUB_ACTIONS' not in os.environ:
     assert not torch.isnan(outputs).any(), 'Output included NaNs'
 
 
+if 'GITHUB_ACTIONS' not in os.environ:
+    # FIXME this test is causing GitHub actions to run out of RAM and abruptly kill the test process
+
     # reason: model is scripted after fx tracing, but beit has torch.jit.is_scripting() control flow
     EXCLUDE_FX_JIT_FILTERS = [
         'deit_*_distilled_patch16_224',