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a4123a53ec |
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@@ -1,26 +0,0 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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import pytest
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@pytest.fixture
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def sana_model_parallel(tmp_path):
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"""Construct native parallel layers with real single-rank GPU groups."""
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from vllm_omni.diffusion.distributed.parallel_state import (
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destroy_distributed_env,
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init_distributed_environment,
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initialize_model_parallel,
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)
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init_distributed_environment(
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world_size=1,
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rank=0,
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local_rank=0,
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distributed_init_method=f"file://{tmp_path / 'sana-distributed'}",
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)
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try:
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initialize_model_parallel()
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yield
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finally:
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destroy_distributed_env()
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@@ -202,7 +202,6 @@ def test_sana_video_transformer_matches_frozen_golden(
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variant: str,
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_hardware,
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accuracy_artifact_root: Path,
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sana_model_parallel,
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) -> None:
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del _hardware
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from vllm.config import LoadConfig
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@@ -189,7 +189,6 @@ def _cfg_prediction(
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def test_sana_video_quick_pipeline_stages_match_diffusers(
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variant: str,
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_hardware,
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sana_model_parallel,
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) -> None:
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"""Compare the first denoising step without replacing native attention.
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@@ -21,7 +21,13 @@ models = ["Qwen/Qwen2.5-Omni-7B"]
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# Single CI deploy YAML; rocm/xpu deltas are picked automatically via the
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# platforms: section in vllm_omni/deploy/ci/qwen2_5_omni.yaml.
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stage_configs = [modify_stage_config(get_deploy_config_path("ci/qwen2_5_omni.yaml"))]
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stage_configs = [
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modify_stage_config(
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get_deploy_config_path("ci/qwen2_5_omni.yaml"),
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# This suite requests two cards; Code2Wav shares the Talker's card.
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updates={"stages": {2: {"devices": "1"}}},
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)
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]
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# Create parameter combinations for model and stage config
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test_params = [
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