diff --git a/src/refiners/foundationals/segment_anything/model.py b/src/refiners/foundationals/segment_anything/model.py
index 6f83f720e..f8abfb71e 100644
--- a/src/refiners/foundationals/segment_anything/model.py
+++ b/src/refiners/foundationals/segment_anything/model.py
@@ -39,6 +39,7 @@ def __init__(
         self.mask_encoder = mask_encoder.to(device=self.device, dtype=self.dtype)
         self.mask_decoder = mask_decoder.to(device=self.device, dtype=self.dtype)
 
+    @torch.no_grad()
     def compute_image_embedding(self, image: Image.Image) -> ImageEmbedding:
         original_size = (image.height, image.width)
         target_size = self.compute_target_size(original_size)
@@ -47,6 +48,7 @@ def compute_image_embedding(self, image: Image.Image) -> ImageEmbedding:
             original_image_size=original_size,
         )
 
+    @torch.no_grad()
     def predict(
         self,
         input: Image.Image | ImageEmbedding,
diff --git a/tests/foundationals/segment_anything/test_sam.py b/tests/foundationals/segment_anything/test_sam.py
index 1e00e646d..0c5fbf978 100644
--- a/tests/foundationals/segment_anything/test_sam.py
+++ b/tests/foundationals/segment_anything/test_sam.py
@@ -289,7 +289,6 @@ def test_mask_decoder(facebook_sam_h: FacebookSAM, sam_h: SegmentAnythingH) -> N
     assert torch.equal(input=iou_prediction, other=facebook_prediction)
 
 
-@torch.no_grad()
 def test_predictor(
     facebook_sam_h_predictor: FacebookSAMPredictor, sam_h: SegmentAnythingH, truck: Image.Image, prompt: SAMPrompt
 ) -> None:
@@ -312,7 +311,6 @@ def test_predictor(
         assert isclose(scores[i].item(), facebook_scores[i].item(), rel_tol=1e-05)
 
 
-@torch.no_grad()
 def test_predictor_image_embedding(sam_h: SegmentAnythingH, truck: Image.Image, one_prompt: SAMPrompt) -> None:
     masks_ref, scores_ref, _ = sam_h.predict(truck, **one_prompt.__dict__)