3934 smaller integration tests for monai.bundle to avoid OOM

.github/workflows/integration.yml

@@ -3,14 +3,11 @@ name: integration
 on:
   repository_dispatch:
     type: [integration-test-command]
-  push:
-    branches:
-      - add-spatial-resample
 
 jobs:
   integration-py3:
     container:
-      image: nvcr.io/nvidia/pytorch:20.12-py3  # CUDA 11.1
+      image: nvcr.io/nvidia/pytorch:21.12-py3  # CUDA 11.5
       options: --gpus all
     runs-on: [self-hosted, linux, x64, common]
     steps:
@@ -37,7 +34,7 @@ jobs:
         which python
         python -m pip install --upgrade pip wheel
         python -m pip uninstall -y torch torchvision
-        python -m pip install torch==1.11+cu111 torchvision==0.12+cu111 -f https://download.pytorch.org/whl/torch_stable.html
+        python -m pip install torch==1.11.0+cu115 torchvision==0.12.0+cu115 -f https://download.pytorch.org/whl/torch_stable.html
         python -m pip install -r requirements-dev.txt
     - name: Run integration tests
       run: |

tests/min_tests.py

@@ -95,6 +95,7 @@ def run_testsuit():
         "test_integration_unet_2d",
         "test_integration_workflows",
         "test_integration_workflows_gan",
+        "test_integration_bundle_run",
         "test_invertd",
         "test_iterable_dataset",
         "test_keep_largest_connected_component",
@@ -159,7 +160,6 @@ def run_testsuit():
         "test_zoomd",
         "test_prepare_batch_default_dist",
         "test_parallel_execution_dist",
-        "test_bundle_run",
         "test_bundle_verify_metadata",
     ]
     assert sorted(exclude_cases) == sorted(set(exclude_cases)), f"Duplicated items in {exclude_cases}"

tests/testing_data/inference.json

@@ -6,11 +6,11 @@
         "in_channels": 1,
         "out_channels": 2,
         "channels": [
-            16,
-            32,
-            64,
-            128,
-            256
+            2,
+            2,
+            4,
+            8,
+            4
         ],
         "strides": [
             2,
@@ -63,12 +63,12 @@
     "inferer": {
         "_target_": "SlidingWindowInferer",
         "roi_size": [
-            96,
-            96,
-            96
+            64,
+            64,
+            32
         ],
         "sw_batch_size": 4,
-        "overlap": 0.5
+        "overlap": 0.25
     },
     "postprocessing": {
         "_target_": "Compose",

tests/testing_data/inference.yaml

@@ -6,11 +6,11 @@ network_def:
   in_channels: 1
   out_channels: 2
   channels:
-  - 16
-  - 32
-  - 64
-  - 128
-  - 256
+  - 2
+  - 2
+  - 4
+  - 8
+  - 4
   strides:
   - 2
   - 2
@@ -46,11 +46,11 @@ dataloader:
 inferer:
   _target_: SlidingWindowInferer
   roi_size:
-  - 96
-  - 96
-  - 96
+  - 64
+  - 64
+  - 32
   sw_batch_size: 4
-  overlap: 0.5
+  overlap: 0.25
 postprocessing:
   _target_: Compose
   transforms: