diff --git a/.github/workflows/scheduled_test_cpu.yml b/.github/workflows/scheduled_test_cpu.yml
index c774f6c493e..305ecdc27cf 100644
--- a/.github/workflows/scheduled_test_cpu.yml
+++ b/.github/workflows/scheduled_test_cpu.yml
@@ -64,4 +64,4 @@ jobs:
   docs:
     uses: kornia/workflows/.github/workflows/docs.yml@v1.10.1
     with:
-      python-version: "3.11"
+      python-version: '["3.11"]'
diff --git a/kornia/feature/matching.py b/kornia/feature/matching.py
index 81c736bfbb4..4b55d88ab2e 100644
--- a/kornia/feature/matching.py
+++ b/kornia/feature/matching.py
@@ -353,26 +353,24 @@ class DescriptorMatcherWithSteerer(Module):
         >>> device = K.utils.get_cuda_or_mps_device_if_available()
         >>> img1 = torch.randn([1, 3, 768, 768], device=device)
         >>> img2 = torch.randn([1, 3, 768, 768], device=device)
-        >>> dedode = KF.DeDoDe.from_pretrained(
-        >>>     detector_weights="L-C4-v2", descriptor_weights="B-SO2"
-        >>> ).to(device)
+        >>> dedode = KF.DeDoDe.from_pretrained(detector_weights="L-C4-v2", descriptor_weights="B-SO2").to(device)
         >>> steerer_order = 8  # discretisation order of rotation angles
         >>> steerer = KF.steerers.DiscreteSteerer.create_dedode_default(
-        >>>     generator_type="SO2", steerer_order=steerer_order
-        >>> ).to(device)
+        ... generator_type="SO2", steerer_order=steerer_order
+        ... )
+        >>> steerer = steerer.to(device)
         >>> matcher = KF.matching.DescriptorMatcherWithSteerer(
-        >>>     steerer=steerer, steerer_order=steerer_order, steer_mode="global",
-        >>>     match_mode="smnn", th=0.98,
-        >>> )
+        ... steerer=steerer, steerer_order=steerer_order, steer_mode="global", match_mode="smnn", th=0.98
+        ... )
         >>> with torch.inference_mode():
-        >>>     kps1, scores1, descs1 = dedode(img1, n=20_000)
-        >>>     kps2, scores2, descs2 = dedode(img2, n=20_000)
-        >>>     kps1, kps2, descs1, descs2 = kps1[0], kps2[0], descs1[0], descs2[0]
-        >>>     dists, idxs, num_rot = matcher(
-        >>>         descs1, descs2, normalize=True, subset_size=1000,
-        >>>     )
-        >>> print(f"{idxs.shape[0]} tentative matches with steered DeDoDe")
-        >>> print(f"at rotation of {num_rot * 360 / steerer_order} degrees")
+        ...     kps1, scores1, descs1 = dedode(img1, n=20_000)
+        ...     kps2, scores2, descs2 = dedode(img2, n=20_000)
+        ...     kps1, kps2, descs1, descs2 = kps1[0], kps2[0], descs1[0], descs2[0]
+        ...     dists, idxs, num_rot = matcher(
+        ...         descs1, descs2, normalize=True, subset_size=1000,
+        ...     )
+        >>> # print(f"{idxs.shape[0]} tentative matches with steered DeDoDe")
+        >>> # print(f"at rotation of {num_rot * 360 / steerer_order} degrees")
     """
 
     def __init__(