[Platform] Enable layerwise offload on all hardware (#1492)

Signed-off-by: gcanlin <canlinguosdu@gmail.com>

tests/e2e/offline_inference/test_diffusion_layerwise_offload.py

@@ -7,7 +7,6 @@ from vllm.distributed.parallel_state import cleanup_dist_env_and_memory
 
 from tests.utils import GPUMemoryMonitor
 from vllm_omni.inputs.data import OmniDiffusionSamplingParams
-from vllm_omni.platforms import current_omni_platform
 
 # ruff: noqa: E402
 REPO_ROOT = Path(__file__).resolve().parents[2]
@@ -68,7 +67,6 @@ def run_inference(
     return peak
 
 
-@pytest.mark.skipif(current_omni_platform.is_npu() or current_omni_platform.is_rocm(), reason="Hardware not supported")
 @pytest.mark.parametrize("model_name", MODELS_SAVED_MEMORY_MB.keys())
 def test_layerwise_offload_diffusion_model(model_name: str):
     """Test that layerwise offloading reduces GPU memory usage.