diff --git a/tests/processor/test_tokenizer_processor.py b/tests/processor/test_tokenizer_processor.py
index 3cac6d6f8a4..300191d8635 100644
--- a/tests/processor/test_tokenizer_processor.py
+++ b/tests/processor/test_tokenizer_processor.py
@@ -919,32 +919,6 @@ def test_device_detection_from_action():
     assert attention_mask.device.type == "cuda"
 
 
-@pytest.mark.skipif(not torch.cuda.is_available(), reason="CUDA not available")
-@require_package("transformers")
-def test_device_detection_from_complementary_data():
-    """Test that device is detected from tensors in complementary_data."""
-    mock_tokenizer = MockTokenizer(vocab_size=100)
-    processor = TokenizerProcessor(tokenizer=mock_tokenizer, max_length=10)
-
-    # Create transition with tensor in complementary_data
-    transition = create_transition(
-        observation={"metadata": {"key": "value"}},  # No tensors
-        complementary_data={
-            "task": "comp data test",
-            "index": torch.tensor([42]).cuda(),  # Tensor in complementary_data
-        },
-    )
-
-    result = processor(transition)
-
-    # Check that tokenized tensors match complementary_data tensor's device
-    tokens = result[TransitionKey.OBSERVATION][f"{OBS_LANGUAGE}.tokens"]
-    attention_mask = result[TransitionKey.OBSERVATION][f"{OBS_LANGUAGE}.attention_mask"]
-
-    assert tokens.device.type == "cuda"
-    assert attention_mask.device.type == "cuda"
-
-
 @require_package("transformers")
 def test_device_detection_preserves_dtype():
     """Test that device detection doesn't affect dtype of tokenized tensors."""