Skip xfail tests on ROCm to conserve CI resources

tests/models/test_llava_next.py

@@ -4,6 +4,7 @@
 from transformers import AutoTokenizer
 
 from vllm.config import VisionLanguageConfig
+from vllm.utils import is_hip
 
 from ..conftest import IMAGE_FILES
 
@@ -72,6 +73,8 @@ def vllm_to_hf_output(vllm_output: Tuple[List[int], str],
     return hf_input_ids, hf_output_str
 
 
+@pytest.mark.skipif(
+    is_hip(), reason="ROCm is skipping xfail tests to conserve CI resources")
 @pytest.mark.xfail(
     reason="Inconsistent image processor being used due to lack "
     "of support for dynamic image token replacement")

tests/models/test_phi3v.py

@@ -4,7 +4,7 @@
 from transformers import AutoTokenizer
 
 from vllm.config import VisionLanguageConfig
-from vllm.utils import is_cpu
+from vllm.utils import is_cpu, is_hip
 
 from ..conftest import IMAGE_FILES
 
@@ -76,6 +76,8 @@ def vllm_to_hf_output(vllm_output: Tuple[List[int], str],
 # TODO: Add test for `tensor_parallel_size` [ref: PR #3883]
 # Since we use _attn_implementation="eager" for hf_runner, here is
 # numeric difference for longer context and test can't pass
+@pytest.mark.skipif(
+    is_hip(), reason="ROCm is skipping xfail tests to conserve CI resources")
 @pytest.mark.xfail(
     reason="Inconsistent image processor being used due to lack "
     "of support for dynamic image token replacement")

tests/multimodal/test_processor.py

@@ -5,6 +5,7 @@
 from vllm.config import ModelConfig, VisionLanguageConfig
 from vllm.multimodal import MULTIMODAL_REGISTRY
 from vllm.multimodal.image import ImagePixelData
+from vllm.utils import is_hip
 
 from ..conftest import _STR_DTYPE_TO_TORCH_DTYPE
 
@@ -55,6 +56,8 @@ def test_clip_image_processor(hf_images, dtype):
             assert np.allclose(hf_arr, vllm_arr), f"Failed for key={key}"
 
 
+@pytest.mark.skipif(
+    is_hip(), reason="ROCm is skipping xfail tests to conserve CI resources")
 @pytest.mark.xfail(
     reason="Inconsistent image processor being used due to lack "
     "of support for dynamic image token replacement")
@@ -104,6 +107,8 @@ def test_llava_next_image_processor(hf_images, dtype):
             assert np.allclose(hf_arr, vllm_arr), f"Failed for key={key}"
 
 
+@pytest.mark.skipif(
+    is_hip(), reason="ROCm is skipping xfail tests to conserve CI resources")
 @pytest.mark.xfail(
     reason="Example image pixels were not processed using HuggingFace")
 @pytest.mark.parametrize("dtype", ["float"])