[Fix] Fix inferencer gets wrong configs path

.circleci/test.yml

@@ -134,6 +134,57 @@ jobs:
           command: |
             docker exec mmengine python -m pytest tests/
 
+  build_integration_test:
+    parameters:
+      torch:
+        type: string
+      cuda:
+        type: string
+      cudnn:
+        type: integer
+        default: 7
+    machine:
+      image: ubuntu-2004-cuda-11.4:202110-01
+      docker_layer_caching: true
+    resource_class: gpu.nvidia.small
+    steps:
+      - checkout
+      - run:
+          name: Build Docker image
+          command: |
+            docker build .circleci/docker -t mmengine:gpu --build-arg PYTORCH=<< parameters.torch >> --build-arg CUDA=<< parameters.cuda >> --build-arg CUDNN=<< parameters.cudnn >>
+            docker run --gpus all -t -d -v /home/circleci/project:/mmengine -w /mmengine --name mmengine mmengine:gpu
+      - run:
+          name: Build MMEngine from source
+          command: |
+            docker exec mmengine pip install -e . -v
+      - run:
+          name: Install unit tests dependencies
+          command: |
+            docker exec mmengine pip install -r requirements/tests.txt
+            docker exec mmengine pip install openmim
+            docker exec mmengine mim install 'mmcv>=2.0.0rc1'
+      - run:
+          name: Install down stream repositories
+          command: |
+            docker exec mmengine mim install 'mmdet>=3.0.0rc0'
+      - run:
+          name: Run integration tests
+          command: |
+            docker exec mmengine pytest tests/test_infer/test_infer.py
+      - run:
+          name: Install down stream repositories from source
+          # TODO: Switch to master branch
+          command: |
+            docker exec mmengine pip uninstall mmdet -y
+            docker exec mmengine apt install git -y
+            docker exec mmengine mkdir downstream_repos
+            docker exec mmengine git clone -b 3.x https://github.com/open-mmlab/mmdetection.git ./downstream_repos/mmdetection
+      - run:
+          name: Run inferencer tests
+          command: |
+            docker exec -e PYTHONPATH=./downstream_repos/mmdetection mmengine pytest tests/test_infer/test_infer.py
+
 workflows:
   pr_stage_lint:
     when: << pipeline.parameters.lint_only >>
@@ -173,10 +224,20 @@ workflows:
           python: 3.9.0
           requires:
             - minimum_version_cpu
+      - hold_integration_test:
+          type: approval
+          requires:
+            - lint
+      - build_integration_test:
+          name: integration_test
+          torch: 1.8.1
+          cuda: "10.2"
+          requires:
+            - hold_integration_test
       - hold:
           type: approval
           requires:
-            - maximum_version_cpu
+            - lint
       - build_cuda:
           name: mainstream_version_gpu
           torch: 1.8.1

mmengine/infer/infer.py

@@ -419,9 +419,9 @@ def _get_repo_or_mim_dir(scope):
             return repo_dir
         else:
             mim_dir = osp.join(package_path, '.mim')
-            if not osp.exists(osp.join(mim_dir, 'Configs')):
+            if not osp.exists(osp.join(mim_dir, 'configs')):
                 raise FileNotFoundError(
-                    f'Cannot find Configs directory in {package_path}!, '
+                    f'Cannot find `configs` directory in {package_path}!, '
                     f'please check the completeness of the {scope}.')
             return mim_dir
 

tests/test_infer/test_infer.py

@@ -10,10 +10,18 @@
 from mmengine.infer import BaseInferencer
 from mmengine.registry import VISUALIZERS, DefaultScope
 from mmengine.testing import RunnerTestCase
-from mmengine.utils import is_installed, is_list_of
+from mmengine.utils import is_list_of
 from mmengine.visualization import Visualizer
 
 
+def is_imported(package):
+    try:
+        __import__(package)
+        return True
+    except ImportError:
+        return False
+
+
 class ToyInferencer(BaseInferencer):
     preprocess_kwargs = {'pre_arg'}
     forward_kwargs = {'for_arg'}
@@ -98,7 +106,7 @@ def test_init(self):
             ToyInferencer([self.epoch_based_cfg], self.ckpt_path)
 
         # Pass model as model name defined in metafile
-        if is_installed('mmdet'):
+        if is_imported('mmdet'):
             from mmdet.utils import register_all_modules
 
             register_all_modules()
@@ -126,7 +134,7 @@ def test_call(self):
         inferencer(img_paths)
 
     @pytest.mark.skipif(
-        not is_installed('mmdet'), reason='mmdet is not installed')
+        not is_imported('mmdet'), reason='mmdet is not installed')
     def test_load_model_from_meta(self):
         from mmdet.utils import register_all_modules
 
@@ -210,7 +218,7 @@ def test_preprocess(self):
             self.assertTrue(is_list_of(data, torch.Tensor))
 
     @pytest.mark.skipif(
-        not is_installed('mmdet'), reason='mmdet is not installed')
+        not is_imported('mmdet'), reason='mmdet is not installed')
     def test_list_models(self):
         model_list = BaseInferencer.list_models('mmdet')
         self.assertTrue(len(model_list) > 0)