Would like to pass GitHub tests again disabling both FX feature extract backward and torchscript tests

tests/test_models.py

@@ -422,20 +422,20 @@ if 'GITHUB_ACTIONS' not in os.environ:
         assert not torch.isnan(outputs).any(), 'Output included NaNs'
 
 
-# reason: model is scripted after fx tracing, but beit has torch.jit.is_scripting() control flow
+    # reason: model is scripted after fx tracing, but beit has torch.jit.is_scripting() control flow
-EXCLUDE_FX_JIT_FILTERS = [
+    EXCLUDE_FX_JIT_FILTERS = [
         'deit_*_distilled_patch16_224',
         'levit*',
         'pit_*_distilled_224',
-] + EXCLUDE_FX_FILTERS
+    ] + EXCLUDE_FX_FILTERS
 
 
-@pytest.mark.timeout(120)
+    @pytest.mark.timeout(120)
-@pytest.mark.parametrize(
+    @pytest.mark.parametrize(
         'model_name', list_models(
             exclude_filters=EXCLUDE_FILTERS + EXCLUDE_JIT_FILTERS + EXCLUDE_FX_JIT_FILTERS, name_matches_cfg=True))
-@pytest.mark.parametrize('batch_size', [1])
+    @pytest.mark.parametrize('batch_size', [1])
-def test_model_forward_fx_torchscript(model_name, batch_size):
+    def test_model_forward_fx_torchscript(model_name, batch_size):
         """Symbolically trace each model, script it, and run single forward pass"""
         if not has_fx_feature_extraction:
             pytest.skip("Can't test FX. Torch >= 1.10 and Torchvision >= 0.11 are required.")