Update fork-maintenance.yml

.github/workflows/fork-maintenance.yml

@@ -43,20 +43,7 @@ jobs:
             pip install huggingface_hub datasets ;
             pip install parameterized;
           unit_test_command: >
-            cd tests; 
-            folders=(\$(python3 -c 'import os; tests = os.getcwd(); 
-            model_tests = os.listdir(os.path.join(tests, models)); 
-            d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); 
-            d2 = sorted(list(filter(os.path.isdir, [fmodels{x} for x in model_tests]))); 
-            d1.remove(models); 
-            d = d2 + d1; 
-            print(n.join(d))' )); 
-            cd ..; 
-            echo "before run";
-            for folder in \${folders[@]}; do pytest tests\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEsx --continue-on-collection-errors -m not not_device_test -p nocacheprovider ; done ; 
-            echo "after run ";
-            allstats=(\$(find reports -name stats.txt)); for stat in \${allstats[@]}; do echo \$stat; cat \$stat; done;
-            echo "after report"
+            pytest
           performance_test_command: >
             echo "python examples/pytorch/language-modeling/run_mlm.py --model_name_or_path bert-base-uncased --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --do_train --do_eval --output_dir /tmp/test-mlm --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --max_steps 500"
           docker_image: rocm/pytorch:latest