diff --git a/docs/en/reference/utils/torch_utils.md b/docs/en/reference/utils/torch_utils.md
index dd4c364d..1a196831 100644
--- a/docs/en/reference/utils/torch_utils.md
+++ b/docs/en/reference/utils/torch_utils.md
@@ -83,10 +83,6 @@ keywords: Ultralytics, torch utils, model optimization, device selection, infere
 
 <br><br><hr><br>
 
-## ::: ultralytics.utils.torch_utils.make_divisible
-
-<br><br><hr><br>
-
 ## ::: ultralytics.utils.torch_utils.copy_attr
 
 <br><br><hr><br>
diff --git a/ultralytics/nn/tasks.py b/ultralytics/nn/tasks.py
index a30094c9..f6feed23 100644
--- a/ultralytics/nn/tasks.py
+++ b/ultralytics/nn/tasks.py
@@ -66,13 +66,13 @@ from ultralytics.utils.loss import (
     v8PoseLoss,
     v8SegmentationLoss,
 )
+from ultralytics.utils.ops import make_divisible
 from ultralytics.utils.plotting import feature_visualization
 from ultralytics.utils.torch_utils import (
     fuse_conv_and_bn,
     fuse_deconv_and_bn,
     initialize_weights,
     intersect_dicts,
-    make_divisible,
     model_info,
     scale_img,
     time_sync,
diff --git a/ultralytics/utils/torch_utils.py b/ultralytics/utils/torch_utils.py
index fcecd148..d2204303 100644
--- a/ultralytics/utils/torch_utils.py
+++ b/ultralytics/utils/torch_utils.py
@@ -424,13 +424,6 @@ def scale_img(img, ratio=1.0, same_shape=False, gs=32):
     return F.pad(img, [0, w - s[1], 0, h - s[0]], value=0.447)  # value = imagenet mean
 
 
-def make_divisible(x, divisor):
-    """Returns nearest x divisible by divisor."""
-    if isinstance(divisor, torch.Tensor):
-        divisor = int(divisor.max())  # to int
-    return math.ceil(x / divisor) * divisor
-
-
 def copy_attr(a, b, include=(), exclude=()):
     """Copies attributes from object 'b' to object 'a', with options to include/exclude certain attributes."""
     for k, v in b.__dict__.items():