4010 4016 fixes mmar integration tests (#4021)

* fixes unit test

Signed-off-by: Wenqi Li <[email protected]>

* temp tests

Signed-off-by: Wenqi Li <[email protected]>

* adds docker version tests

Signed-off-by: Wenqi Li <[email protected]>

* fixes #4016

Signed-off-by: Wenqi Li <[email protected]>

* local tests

Signed-off-by: Wenqi Li <[email protected]>

* remove mmar cache daily

Signed-off-by: Wenqi Li <[email protected]>

* remove cache

Signed-off-by: Wenqi Li <[email protected]>

* Revert "temp tests"

This reverts commit 238d883.

Signed-off-by: Wenqi Li <[email protected]>

* fixes typo

Signed-off-by: Wenqi Li <[email protected]>

Author: wyli

.github/workflows/cron-mmar.yml

@@ -32,6 +32,7 @@ jobs:
         key: ${{ runner.os }}-pip-${{ steps.pip-cache.outputs.datew }}
     - name: Install dependencies
       run: |
+        rm -rf /github/home/.cache/torch/hub/mmars/
         python -m pip install --upgrade pip wheel
         python -m pip install -r requirements-dev.txt
     - name: Loading MMARs

.github/workflows/cron.yml

@@ -62,7 +62,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     strategy:
       matrix:
-        container: ["pytorch:21.02", "pytorch:22.02"]  # 21.02 for backward comp.
+        container: ["pytorch:21.02", "pytorch:21.10", "pytorch:22.02"]  # 21.02, 21.10 for backward comp.
     container:
       image: nvcr.io/nvidia/${{ matrix.container }}-py3  # testing with the latest pytorch base image
       options: "--gpus all"
@@ -106,7 +106,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     strategy:
       matrix:
-        container: ["pytorch:21.02", "pytorch:22.02"]  # 21.02 for backward comp.
+        container: ["pytorch:21.02", "pytorch:21.10", "pytorch:22.02"]  # 21.02, 21.10 for backward comp.
     container:
       image: nvcr.io/nvidia/${{ matrix.container }}-py3  # testing with the latest pytorch base image
       options: "--gpus all"
@@ -204,7 +204,7 @@ jobs:
     if: github.repository == 'Project-MONAI/MONAI'
     needs: cron-gpu  # so that monai itself is verified first
     container:
-      image: nvcr.io/nvidia/pytorch:21.09-py3  # testing with the latest pytorch base image
+      image: nvcr.io/nvidia/pytorch:22.02-py3  # testing with the latest pytorch base image
       options: "--gpus all --ipc=host"
     runs-on: [self-hosted, linux, x64, common]
     steps:

.github/workflows/integration.yml

@@ -36,6 +36,7 @@ jobs:
         python -m pip uninstall -y torch torchvision
         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
+        rm -rf /github/home/.cache/torch/hub/mmars/
     - name: Run integration tests
       run: |
         python -m pip list

monai/engines/workflow.py

@@ -274,7 +274,7 @@ def run(self) -> None:
         """
         if self.state.epoch_length == 0:
             warnings.warn(
-                "`dataloader` is emply or the specified `epoch_length` is 0, skip the `run`."
+                "`dataloader` is empty or the specified `epoch_length` is 0, skip the `run`."
                 " if running distributed training, the program may hang in `all-gather`, `all-reduce`, etc."
                 " because not all the ranks run the same computation logic."
             )

monai/networks/nets/dints.py

@@ -817,8 +817,8 @@ def get_topology_entropy(self, probs):
             probs: path activation probabilities
         """
         if hasattr(self, "node2in"):
-            node2in = self.node2in
-            node2out = self.node2out
+            node2in = self.node2in  # pylint: disable=E0203
+            node2out = self.node2out  # pylint: disable=E0203
         else:
             # node activation index to feasible input child_idx
             node2in = [[] for _ in range(len(self.node_act_list))]

tests/test_mmar_download.py

@@ -94,16 +94,16 @@
             "item": "clara_pt_pathology_metastasis_detection",
             "map_location": "cuda" if torch.cuda.is_available() else "cpu",
         },
-        "TorchVisionFullyConvModel",
+        "TorchVisionFCModel",
         np.array(
             [
-                [-0.00693138, -0.00441378, -0.01057985, 0.05604396, 0.03526996, -0.00399302, -0.0267504],
-                [0.00805358, 0.01016939, -0.10749951, -0.28787708, -0.27905375, -0.13328083, -0.00882593],
-                [-0.01909848, 0.04871106, 0.2957697, 0.60376877, 0.53552634, 0.24821444, 0.03773781],
-                [0.02449462, -0.07471243, -0.30943492, -0.43987238, -0.26549947, -0.00698426, 0.04395606],
-                [-0.03124012, 0.00807883, 0.06797771, -0.04612541, -0.30266526, -0.39722857, -0.25109962],
-                [0.02480375, 0.03378576, 0.06519791, 0.24546203, 0.41867673, 0.393786, 0.16055048],
-                [-0.01529332, -0.00062494, -0.016658, -0.06313603, -0.1508078, -0.09107386, -0.01239121],
+                [-0.00540746, -0.00274996, -0.00837622, 0.05415914, 0.03555066, -0.00071636, -0.02325751],
+                [0.00564625, 0.00674562, -0.1098334, -0.2936509, -0.28384757, -0.13580588, -0.00737865],
+                [-0.02159783, 0.04615543, 0.29717407, 0.6001161, 0.53496915, 0.2528417, 0.04530451],
+                [0.0225903, -0.07556137, -0.3070122, -0.43984795, -0.26286602, -0.00172576, 0.05003437],
+                [-0.0320133, 0.00855468, 0.06824744, -0.04786247, -0.30358723, -0.3960023, -0.24895012],
+                [0.02412516, 0.03411723, 0.06513759, 0.24332047, 0.41664436, 0.38999054, 0.15957521],
+                [-0.01303542, -0.00166874, -0.01965466, -0.06620175, -0.15635538, -0.10023144, -0.01698002],
             ]
         ),
     ),