From be6e8261aa56b6a6040ed0dd853f0f43adae8592 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
<66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 28 Nov 2023 15:57:43 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---
src/torchmetrics/functional/segmentation/utils.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/src/torchmetrics/functional/segmentation/utils.py b/src/torchmetrics/functional/segmentation/utils.py
index 78dfcf524e3..dfd219ceb47 100644
--- a/src/torchmetrics/functional/segmentation/utils.py
+++ b/src/torchmetrics/functional/segmentation/utils.py
@@ -384,7 +384,7 @@ def surface_distance(
return dis[preds]
-@functools.lru_cache()
+@functools.lru_cache
def get_neighbour_tables(
spacing: Union[Tuple[int, int], Tuple[int, int, int]], device: Optional[torch.device] = None
) -> Tuple[Tensor, Tensor]:
@@ -449,7 +449,7 @@ def table_contour_length(spacing: Tuple[int, int], device: Optional[torch.device
return table, kernel
-@functools.lru_cache()
+@functools.lru_cache
def table_surface_area(spacing: Tuple[int, int, int], device: Optional[torch.device] = None) -> Tuple[Tensor, Tensor]:
"""Create a table that maps neighbour codes to the surface area of the corresponding surface.