fix test in OSS env without CUDA device (#2688)

Summary:

# context
* to fix OSS CPU test failure due to lack of CUDA device.

Reviewed By: dstaay-fb

Differential Revision: D68340773

torchrec/sparse/tests/test_tensor_dict.py

@@ -11,16 +11,20 @@
 import unittest
 
 import torch
+from hypothesis import given, settings, strategies as st, Verbosity
 from tensordict import TensorDict
 from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
 from torchrec.sparse.tensor_dict import maybe_td_to_kjt
-from torchrec.sparse.tests.utils import repeat_test
 
 
 class TestTensorDIct(unittest.TestCase):
-    @repeat_test(device_str=["cpu", "cuda", "meta"])
-    def test_kjt_input(self, device_str: str) -> None:
-        device = torch.device(device_str)
+    @unittest.skipIf(
+        torch.cuda.device_count() <= 0,
+        "CUDA is not available",
+    )
+    @given(device=st.sampled_from([torch.device(d) for d in ["cpu", "cuda", "meta"]]))
+    @settings(verbosity=Verbosity.verbose, max_examples=5, deadline=None)
+    def test_kjt_input(self, device:torch.device) -> None:
         values = torch.tensor([0, 1, 2, 3, 2, 3, 4], device=device)
         kjt = KeyedJaggedTensor.from_offsets_sync(
             keys=["f1", "f2", "f3"],
@@ -30,9 +34,13 @@ def test_kjt_input(self, device_str: str) -> None:
         features = maybe_td_to_kjt(kjt)
         self.assertEqual(features, kjt)
 
-    @repeat_test(device_str=["cpu", "cuda", "meta"])
-    def test_td_kjt(self, device_str: str) -> None:
-        device = torch.device(device_str)
+    @unittest.skipIf(
+        torch.cuda.device_count() <= 0,
+        "CUDA is not available",
+    )
+    @given(device=st.sampled_from([torch.device(d) for d in ["cpu", "cuda", "meta"]]))
+    @settings(verbosity=Verbosity.verbose, max_examples=5, deadline=None)
+    def test_td_kjt(self, device: torch.device) -> None:
         values = torch.tensor([0, 1, 2, 3, 2, 3, 4], device=device)
         lengths = torch.tensor([2, 0, 1, 1, 1, 2], device=device)
         data = {