From db026df6dae02d3a37d4d3131e4b9a3e1546a32c Mon Sep 17 00:00:00 2001 From: Cemberk Date: Tue, 10 Sep 2024 13:43:20 -0500 Subject: [PATCH] Update fork-maintenance.yml --- .github/workflows/fork-maintenance.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/fork-maintenance.yml b/.github/workflows/fork-maintenance.yml index 9ae889b613bf..8848f4302480 100644 --- a/.github/workflows/fork-maintenance.yml +++ b/.github/workflows/fork-maintenance.yml @@ -43,7 +43,7 @@ jobs: pip install huggingface_hub datasets ; pip install parameterized; unit_test_command: > - cd tests; folders=($(python3 -c 'import os; tests = os.getcwd(); model_tests = os.listdir(os.path.join(tests, "tests/models")); d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted(list(filter(os.path.isdir, [f"models/{x}" for x in model_tests]))); d1.remove("models"); d = d2 + d1; print("\n".join(d))')); cd ..; for folder in "${folders[@]}"; do pytest tests/${folder} -v -rfEs --make-reports="huggingface_unit_tests_run_models_gpu_${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 $stat; done + cd tests; folders=($(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 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