device agnostic models testing (#27146)

* device agnostic models testing

* add decorator `require_torch_fp16`

* make style

* apply review suggestion

* Oops, the fp16 decorator was misused

tests/models/mask2former/test_modeling_mask2former.py

@@ -23,7 +23,8 @@ from tests.test_modeling_common import floats_tensor
 from transformers import Mask2FormerConfig, is_torch_available, is_vision_available
 from transformers.testing_utils import (
     require_torch,
-    require_torch_gpu,
+    require_torch_accelerator,
+    require_torch_fp16,
     require_torch_multi_gpu,
     require_vision,
     slow,
@@ -427,7 +428,8 @@ class Mask2FormerModelIntegrationTest(unittest.TestCase):
         ).to(torch_device)
         self.assertTrue(torch.allclose(outputs.class_queries_logits[0, :3, :3], expected_slice, atol=TOLERANCE))
 
-    @require_torch_gpu
+    @require_torch_accelerator
+    @require_torch_fp16
     def test_inference_fp16(self):
         model = (
             Mask2FormerForUniversalSegmentation.from_pretrained(self.model_checkpoints)