[Rebase] Rebase to vllm v0.21.0 (#3530)

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@@ -5,6 +5,7 @@ import pytest
import torch
from vllm.distributed.parallel_state import cleanup_dist_env_and_memory
from tests.helpers import skip_if_gated_repo_inaccessible
from tests.helpers.env import DeviceMemoryMonitor
from tests.helpers.mark import hardware_test
from tests.helpers.runtime import OmniRunner
@@ -21,6 +22,11 @@ IMAGE_VIDEO_MODELS = {
MODELS = {**AUDIO_MODEL, **IMAGE_VIDEO_MODELS}
_GATED_MODELS = {"stabilityai/stable-audio-open-1.0"}
# Aliased for backward compatibility (imported by test_diffusion_layerwise_offload.py).
_skip_if_gated_repo_inaccessible = skip_if_gated_repo_inaccessible
AUDIO_MODEL_PARAMS = {
"runner_params": {},
"sampler_params": {},
@@ -94,10 +100,23 @@ def check_audio_determinism(audio1, audio2, atol=1e-2):
@hardware_test(res={"cuda": "L4", "rocm": "MI325"})
@pytest.mark.parametrize("model_name", list(MODELS.keys()))
def test_cpu_offload_diffusion_model(model_name: str):
if model_name in _GATED_MODELS:
_skip_if_gated_repo_inaccessible(model_name)
try:
offload_peak_memory, output_offload = inference(model_name, offload=True)
cleanup_dist_env_and_memory()
no_offload_peak_memory, output_no_offload = inference(model_name, offload=False)
except ValueError as exc:
# omni_snapshot_download wraps GatedRepoError in a ValueError.
# If the pre-flight guard above did not catch it (e.g. partial
# HF_TOKEN where config.json is accessible but weight shards are
# blocked), skip instead of failing.
if "Access to model" in str(exc) and "is restricted" in str(exc):
pytest.skip(
f"Skipping: gated HF repo {model_name!r} inaccessible "
f"({exc}). See docs/contributing/ci/hf_credentials.md."
)
pytest.fail(f"Inference failed: {exc}")
except Exception:
pytest.fail("Inference failed")
print(f"Offload peak memory: {offload_peak_memory} MB")