diff --git a/.github/workflows/setupapp.yml b/.github/workflows/setupapp.yml
index 71c59457fb..db8f43dad7 100644
--- a/.github/workflows/setupapp.yml
+++ b/.github/workflows/setupapp.yml
@@ -23,7 +23,7 @@ jobs:
     container:
       image: nvcr.io/nvidia/pytorch:21.06-py3  # CUDA 11.3
       options: --gpus all
-    runs-on: [self-hosted, linux, x64, common]
+    runs-on: [self-hosted, linux, x64, integration]
     steps:
     - uses: actions/checkout@v3
     - name: cache weekly timestamp
diff --git a/environment-dev.yml b/environment-dev.yml
index 1f1d9c773f..1b91cb38fc 100644
--- a/environment-dev.yml
+++ b/environment-dev.yml
@@ -9,7 +9,7 @@ dependencies:
   - coverage>=5.5
   - parameterized
   - setuptools>=50.3.0,!=60.0.0
-  - ignite==0.4.8
+  - ignite==0.4.10
   - gdown>=4.4.0
   - scipy
   - nibabel
diff --git a/tests/min_tests.py b/tests/min_tests.py
index 026514e29e..439d95db5f 100644
--- a/tests/min_tests.py
+++ b/tests/min_tests.py
@@ -29,7 +29,6 @@ def run_testsuit():
     exclude_cases = [  # these cases use external dependencies
         "test_ahnet",
         "test_arraydataset",
-        "test_auto3dseg_autorunner",
         "test_auto3dseg_ensemble",
         "test_auto3dseg_hpo",
         "test_auto3dseg",
@@ -107,6 +106,7 @@ def run_testsuit():
         "test_integration_workflows",
         "test_integration_workflows_gan",
         "test_integration_bundle_run",
+        "test_integration_autorunner",
         "test_invert",
         "test_invertd",
         "test_iterable_dataset",
diff --git a/tests/test_auto3dseg_autorunner.py b/tests/test_integration_autorunner.py
similarity index 100%
rename from tests/test_auto3dseg_autorunner.py
rename to tests/test_integration_autorunner.py
diff --git a/tests/test_masked_inference_wsi_dataset.py b/tests/test_masked_inference_wsi_dataset.py
index 661f728e47..c424edd897 100644
--- a/tests/test_masked_inference_wsi_dataset.py
+++ b/tests/test_masked_inference_wsi_dataset.py
@@ -10,6 +10,7 @@
 # limitations under the License.
 
 import os
+import tempfile
 import unittest
 from unittest import skipUnless
 
@@ -30,23 +31,21 @@
 FILE_NAME = f"temp_{base_name}"
 FILE_PATH = os.path.join(os.path.dirname(__file__), "testing_data", FILE_NAME + extension)
 
-MASK1 = os.path.join(os.path.dirname(__file__), "testing_data", "temp_tissue_mask1.npy")
-MASK2 = os.path.join(os.path.dirname(__file__), "testing_data", "temp_tissue_mask2.npy")
-MASK4 = os.path.join(os.path.dirname(__file__), "testing_data", "temp_tissue_mask4.npy")
+MASK1, MASK2, MASK4 = "mask1.npy", "mask2.npy", "mask4.npy"
 
 HEIGHT = 32914
 WIDTH = 46000
 
 
-def prepare_data():
+def prepare_data(*masks):
 
     mask = np.zeros((HEIGHT // 2, WIDTH // 2))
     mask[100, 100] = 1
-    np.save(MASK1, mask)
+    np.save(masks[0], mask)
     mask[100, 101] = 1
-    np.save(MASK2, mask)
+    np.save(masks[1], mask)
     mask[100:102, 100:102] = 1
-    np.save(MASK4, mask)
+    np.save(masks[2], mask)
 
 
 TEST_CASE_0 = [
@@ -156,17 +155,24 @@ def prepare_data():
 ]
 
 
+@skip_if_quick
 class TestMaskedInferenceWSIDataset(unittest.TestCase):
     def setUp(self):
-        prepare_data()
+        self.base_dir = tempfile.TemporaryDirectory()
+        prepare_data(*[os.path.join(self.base_dir.name, m) for m in [MASK1, MASK2, MASK4]])
         hash_type = testing_data_config("images", FILE_KEY, "hash_type")
         hash_val = testing_data_config("images", FILE_KEY, "hash_val")
         download_url_or_skip_test(FILE_URL, FILE_PATH, hash_type=hash_type, hash_val=hash_val)
 
+    def tearDown(self):
+        self.base_dir.cleanup()
+
     @parameterized.expand([TEST_CASE_0, TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4])
     @skipUnless(has_cim, "Requires CuCIM")
     @skip_if_quick
     def test_read_patches_cucim(self, input_parameters, expected):
+        for m in input_parameters["data"]:
+            m["mask"] = os.path.join(self.base_dir.name, m["mask"])
         dataset = MaskedInferenceWSIDataset(**input_parameters)
         self.compare_samples_expected(dataset, expected)
 
@@ -174,6 +180,8 @@ def test_read_patches_cucim(self, input_parameters, expected):
     @skipUnless(has_osl, "Requires OpenSlide")
     @skip_if_quick
     def test_read_patches_openslide(self, input_parameters, expected):
+        for m in input_parameters["data"]:
+            m["mask"] = os.path.join(self.base_dir.name, m["mask"])
         dataset = MaskedInferenceWSIDataset(**input_parameters)
         self.compare_samples_expected(dataset, expected)