auto updates (#7723)

monai-bot · KumoLiu · web-flow · commit 56508992c32e · 2024-04-29T16:07:04.000+08:00
Signed-off-by: monai-bot &lt;monai.miccai2019@gmail.com&gt;

Signed-off-by: monai-bot &lt;monai.miccai2019@gmail.com&gt;
Co-authored-by: YunLiu &lt;55491388+KumoLiu@users.noreply.github.com&gt;
diff --git a/monai/networks/nets/resnet.py b/monai/networks/nets/resnet.py
@@ -46,7 +46,6 @@
     "resnet200",
 ]
 
-
 resnet_params = {
     # model_name: (block, layers, shortcut_type, bias_downsample, datasets23)
     "resnet10": ("basic", [1, 1, 1, 1], "B", False, True),
@@ -58,7 +57,6 @@
     "resnet200": ("bottleneck", [3, 24, 36, 3], "B", False, False),
 }
 
-
 logger = logging.getLogger(__name__)
 
 
diff --git a/tests/test_median_filter.py b/tests/test_median_filter.py
@@ -21,6 +21,7 @@
 
 
 class MedianFilterTestCase(unittest.TestCase):
+
     @parameterized.expand([(torch.ones(1, 1, 2, 3, 5), [1, 2, 4]), (torch.ones(1, 1, 4, 3, 4), 1)])  # 3d_big  # 3d
     def test_3d(self, input_tensor, radius):
         filter = MedianFilter(radius).to(torch.device("cpu:0"))
diff --git a/tests/test_resnet.py b/tests/test_resnet.py
@@ -198,7 +198,6 @@
     [model, *TEST_CASE_1] for model in [resnet10, resnet18, resnet34, resnet50, resnet101, resnet152, resnet200]
 ]
 
-
 CASE_EXTRACT_FEATURES = [
     (
         {"model_name": "resnet10", "pretrained": True, "spatial_dims": 3, "in_channels": 1},

Original file line number	Diff line number	Diff line change
`@@ -46,7 +46,6 @@`
`46`	`46`	`"resnet200",`
`47`	`47`	`]`
`48`	`48`
`49`		`-`
`50`	`49`	`resnet_params = {`
`51`	`50`	`# model_name: (block, layers, shortcut_type, bias_downsample, datasets23)`
`52`	`51`	`"resnet10": ("basic", [1, 1, 1, 1], "B", False, True),`
`@@ -58,7 +57,6 @@`
`58`	`57`	`"resnet200": ("bottleneck", [3, 24, 36, 3], "B", False, False),`
`59`	`58`	`}`
`60`	`59`
`61`		`-`
`62`	`60`	`logger = logging.getLogger(__name__)`
`63`	`61`
`64`	`62`
Original file line number	Diff line number	Diff line change
`@@ -198,7 +198,6 @@`
`198`	`198`	`[model, *TEST_CASE_1] for model in [resnet10, resnet18, resnet34, resnet50, resnet101, resnet152, resnet200]`
`199`	`199`	`]`
`200`	`200`
`201`		`-`
`202`	`201`	`CASE_EXTRACT_FEATURES = [`
`203`	`202`	`(`
`204`	`203`	`{"model_name": "resnet10", "pretrained": True, "spatial_dims": 3, "in_channels": 1},`