Update fork-maintenance.yml

.github/workflows/fork-maintenance.yml

@@ -43,7 +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 ..; 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 ; allstats=($(find reports -name stats.txt)); for stat in ${allstats[@]}; do echo $stat; cat $stat; done
+            cd tests; folders=($(python3 -c "import os; tests = os.getcwd(); model_tests_dir = os.path.join(tests, 'models'); model_tests = os.listdir(model_tests_dir) if os.path.exists(model_tests_dir) and os.path.isdir(model_tests_dir) else []; d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted([f'models/{x}' for x in model_tests if os.path.isdir(os.path.join('models', x))]); if 'models' in d1: d1.remove('models'); d = d2 + d1; print('\n'.join(d))")); cd ..; for folder in \"${folders[@]}\"; do pytest tests/${folder} -v -rfEs --make-reports=\"huggingface_unit_tests_run_models_gpu_${folder}\" -p no:faulthandler --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider || true; done; allstats=($(find reports -name stats.txt)); for stat in \"${allstats[@]}\"; do echo \"$stat\"; cat $stat; done
           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