Update fork-maintenance.yml

Cemberk · Nov 13, 2024 · 4e7f5fa · 4e7f5fa
1 parent f550675
commit 4e7f5fa
Showing 1 changed file with 1 addition and 7 deletions.
diff --git a/.github/workflows/fork-maintenance.yml b/.github/workflows/fork-maintenance.yml
@@ -26,13 +26,7 @@ jobs:
         pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && 
         pip install parameterized && 
         pip install -e .
-      unit_test_command: |
-        cd tests; 
-        folders=$$(python3 -c 'import os; tests = os.getcwd(); models = "models"; model_tests = os.listdir(os.path.join(tests, models)); d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted(list(filter(os.path.isdir, [os.path.join(models, x) for x in model_tests]))); d1.remove(models); d = d2 + d1; print(" ".join(d[:5]))');
-        cd ..; 
-        for folder in \${folders[@]}; do pytest tests/\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEs --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider; done;  
-        allstats=\$(find reports -name stats.txt);  
-        for stat in \${allstats[@]}; do echo \$stat; cat \$stat; done
+      unit_test_command: cd tests; folders=$$(python3 -c 'import os; tests = os.getcwd(); models = "models"; 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, [os.path.join(models, x) for x in model_tests]))); d1.remove(models); d = d2 + d1; print(" ".join(d[:5]))'); cd ..; for folder in \${folders[@]}; do pytest tests/\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEs --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider; 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'
       docker_options: '--device=/dev/kfd --device=/dev/dri --group-add video --shm-size 16G --network=host'