auto updates (#5812)

Project-MONAI · Jan 5, 2023 · eb6bbe8 · eb6bbe8
1 parent df6bc9c
commit eb6bbe8
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Showing 5 changed files with 3 additions and 6 deletions.
diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -118,7 +118,7 @@ def generate_apidocs(*args):
     "show_toc_level": 1,
     "footer_items": ["copyright"],
     "navbar_align": "content",
-    "logo": {"image_light": "../images/MONAI-logo-color.png", "image_dark": "../images/MONAI-logo-color.png"},
+    "logo": {"image_light": "MONAI-logo-color.png", "image_dark": "MONAI-logo-color.png"},
 }
 html_context = {
     "github_user": "Project-MONAI",

diff --git a/monai/networks/layers/simplelayers.py b/monai/networks/layers/simplelayers.py
@@ -670,7 +670,7 @@ def __init__(self, filter: NdarrayOrTensor) -> None:
         self.filter = convert_to_tensor(filter, dtype=torch.float32)
 
     def forward(self, x: torch.Tensor) -> torch.Tensor:
-        return apply_filter(x, self.filter)  # type: ignore
+        return apply_filter(x, self.filter)
 
 
 class MeanFilter(ApplyFilter):

diff --git a/monai/transforms/utility/array.py b/monai/transforms/utility/array.py
@@ -1627,7 +1627,7 @@ def _check_filter_format(
         elif isinstance(filter, torch.Tensor) or isinstance(filter, np.ndarray):
             if filter.ndim not in [1, 2, 3]:
                 raise ValueError("Only 1D, 2D, and 3D filters are supported.")
-            self._check_all_values_uneven(filter.shape)  # type: ignore
+            self._check_all_values_uneven(filter.shape)
         elif isinstance(filter, (nn.Module, Transform)):
             pass
         else:

diff --git a/tests/test_image_filter.py b/tests/test_image_filter.py
@@ -9,7 +9,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-
 import unittest
 
 import numpy as np

diff --git a/tests/test_preset_filters.py b/tests/test_preset_filters.py
@@ -18,7 +18,6 @@
 
 TEST_CASES_MEAN = [(3, 3, torch.ones(3, 3, 3)), (2, 5, torch.ones(5, 5))]
 
-
 TEST_CASES_LAPLACE = [
     (
         3,
@@ -45,7 +44,6 @@
     (2, 3, torch.Tensor([[0, 1, 0], [1, 1, 1], [0, 1, 0]])),
 ]
 
-
 TEST_CASES_SHARPEN = [
     (
         3,