[Fix] Fix unittest in pt1.9 (#1146)

* fix test.txt

* fix unittest in pt1.9

* fix checkpoint filename error

* add comment

* fix unittest

* fix onnxruntime version

tests/test_load_model_zoo.py

@@ -11,6 +11,7 @@ from mmcv.runner.checkpoint import (DEFAULT_CACHE_DIR, ENV_MMCV_HOME,
                                     _load_checkpoint,
                                     get_deprecated_model_names,
                                     get_external_models)
+from mmcv.utils import TORCH_VERSION
 
 
 @patch('mmcv.__path__', [osp.join(osp.dirname(__file__), 'data/')])
@@ -77,13 +78,23 @@ def load(filepath, map_location=None):
 def test_load_external_url():
     # test modelzoo://
     url = _load_checkpoint('modelzoo://resnet50')
-    assert url == 'url:https://download.pytorch.org/models/resnet50-19c8e357' \
+    if TORCH_VERSION < '1.9.0':
-                  '.pth'
+        assert url == ('url:https://download.pytorch.org/models/resnet50-19c8e'
+                       '357.pth')
+    else:
+        # filename of checkpoint is renamed in torch1.9.0
+        assert url == ('url:https://download.pytorch.org/models/resnet50-0676b'
+                       'a61.pth')
 
     # test torchvision://
     url = _load_checkpoint('torchvision://resnet50')
-    assert url == 'url:https://download.pytorch.org/models/resnet50-19c8e357' \
+    if TORCH_VERSION < '1.9.0':
-                  '.pth'
+        assert url == ('url:https://download.pytorch.org/models/resnet50-19c8e'
+                       '357.pth')
+    else:
+        # filename of checkpoint is renamed in torch1.9.0
+        assert url == ('url:https://download.pytorch.org/models/resnet50-0676b'
+                       'a61.pth')
 
     # test open-mmlab:// with default MMCV_HOME
     os.environ.pop(ENV_MMCV_HOME, None)

tests/test_parallel.py

@@ -1,5 +1,6 @@
 from unittest.mock import MagicMock, patch
 
+import torch
 import torch.nn as nn
 from torch.nn.parallel import DataParallel, DistributedDataParallel
 
@@ -15,7 +16,7 @@ def mock(*args, **kwargs):
 
 @patch('torch.distributed._broadcast_coalesced', mock)
 @patch('torch.distributed.broadcast', mock)
-@patch('torch.nn.parallel.DistributedDataParallel._ddp_init_helper', MagicMock)
+@patch('torch.nn.parallel.DistributedDataParallel._ddp_init_helper', mock)
 def test_is_module_wrapper():
 
     class Model(nn.Module):
@@ -27,6 +28,12 @@ def test_is_module_wrapper():
         def forward(self, x):
             return self.conv(x)
 
+    # _verify_model_across_ranks is added in torch1.9.0 so we should check
+    # wether _verify_model_across_ranks is the member of torch.distributed
+    # before mocking
+    if hasattr(torch.distributed, '_verify_model_across_ranks'):
+        torch.distributed._verify_model_across_ranks = mock
+
     model = Model()
     assert not is_module_wrapper(model)