test level 1 case, test pipelines

.dev_scripts/dockerci.sh

@@ -60,13 +60,13 @@ do
               -v $MODELSCOPE_HOME_CACHE/$idx:/root \
               -v /home/admin/pre-commit:/home/admin/pre-commit \
               -e CI_TEST=True \
-              -e TEST_LEVEL=$TEST_LEVEL \
+              -e TEST_LEVEL=1 \
               -e MODELSCOPE_CACHE=$MODELSCOPE_CACHE_DIR_IN_CONTAINER \
               -e MODELSCOPE_DOMAIN=$MODELSCOPE_DOMAIN \
               -e HUB_DATASET_ENDPOINT=$HUB_DATASET_ENDPOINT \
               -e TEST_ACCESS_TOKEN_CITEST=$TEST_ACCESS_TOKEN_CITEST \
               -e TEST_ACCESS_TOKEN_SDKDEV=$TEST_ACCESS_TOKEN_SDKDEV \
-              -e TEST_LEVEL=$TEST_LEVEL \
+              -e TEST_LEVEL=1 \
               -e MODELSCOPE_ENVIRONMENT='ci' \
               -e TEST_UPLOAD_MS_TOKEN=$TEST_UPLOAD_MS_TOKEN \
               -e MODEL_TAG_URL=$MODEL_TAG_URL \

modelscope/pipelines/builder.py

@@ -112,6 +112,11 @@ def pipeline(task: str = None,
     if task is None and pipeline_name is None:
         raise ValueError('task or pipeline_name is required')
 
+    if model:
+        pass
+    else:
+        pass
+
     pipeline_props = None
     if pipeline_name is None:
         # get default pipeline for this task

tests/run_config.yaml

@@ -65,7 +65,8 @@ isolated:  # test cases that may require excessive anmount of GPU memory or run
   - test_controllable_image_generation.py
   - test_image_colorization_trainer.py
   - test_text_to_360panorama_image.py
-
+  - test_llm_pipeline.py
+  - test_hf_util.py
 
 envs:
   default: # default env, case not in other env will in default, pytorch.