fix(DPT,Depth-Anything) Address expected_slice errors inside inference tests

Signed-off-by: Phillip Kuznetsov <[email protected]>

Author: philkuz

tests/models/depth_anything/test_modeling_depth_anything.py

@@ -263,7 +263,7 @@ def test_inference(self):
         self.assertEqual(predicted_depth.shape, expected_shape)
 
         expected_slice = torch.tensor(
-            [[8.8204, 8.6468, 8.6195], [8.3313, 8.6027, 8.7526], [8.6526, 8.6866, 8.7453]],
+            [[8.8223, 8.6483, 8.6216], [8.3332, 8.6047, 8.7545], [8.6547, 8.6885, 8.7472]],
         ).to(torch_device)
 
         self.assertTrue(torch.allclose(predicted_depth[0, :3, :3], expected_slice, atol=1e-6))
@@ -286,7 +286,7 @@ def test_inference(self):
         self.assertEqual(predicted_depth.shape, expected_shape)
 
         expected_slice = torch.tensor(
-            [[1.3349, 1.2946, 1.2801], [1.2793, 1.2337, 1.2899], [1.2629, 1.2218, 1.2476]],
+            [[1.3349, 1.2947, 1.2802], [1.2794, 1.2338, 1.2901], [1.2630, 1.2219, 1.2478]],
         ).to(torch_device)
 
         self.assertTrue(torch.allclose(predicted_depth[0, :3, :3], expected_slice, atol=1e-4))

tests/models/dpt/test_modeling_dpt_auto_backbone.py

@@ -274,7 +274,7 @@ def test_inference_depth_estimation_dinov2(self):
         self.assertEqual(predicted_depth.shape, expected_shape)
 
         expected_slice = torch.tensor(
-            [[6.0433, 7.1636, 7.4268], [6.9047, 7.2471, 7.2355], [7.9261, 8.0631, 8.0244]]
+            [[6.0336, 7.1502, 7.4130], [6.8977, 7.2383, 7.2268], [7.9180, 8.0525, 8.0134]]
         ).to(torch_device)
 
         self.assertTrue(torch.allclose(outputs.predicted_depth[0, :3, :3], expected_slice, atol=1e-4))