From eb6bbe8da518f49abd001ca5865672933ab1e9a2 Mon Sep 17 00:00:00 2001
From: monai-bot <64792179+monai-bot@users.noreply.github.com>
Date: Thu, 5 Jan 2023 13:59:17 +0000
Subject: [PATCH] auto updates (#5812)

---
 docs/source/conf.py                   | 2 +-
 monai/networks/layers/simplelayers.py | 2 +-
 monai/transforms/utility/array.py     | 2 +-
 tests/test_image_filter.py            | 1 -
 tests/test_preset_filters.py          | 2 --
 5 files changed, 3 insertions(+), 6 deletions(-)

diff --git a/docs/source/conf.py b/docs/source/conf.py
index 8fd33046e9..b8c1e07c8f 100644
--- 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
index ca7997e272..8a5f00fe98 100644
--- 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
index 02688d6604..5edb9536a4 100644
--- 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
index 007b5e8e2c..20d8a7b58c 100644
--- 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
index 0a6a4e8c50..ea34b2ebae 100644
--- 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,