[MISC] Consolidate cleanup() and refactor offline_inference_with_prefix.py (#9510)
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@@ -1,5 +1,3 @@
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import contextlib
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import gc
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import json
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import os
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import sys
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@@ -27,8 +25,7 @@ from vllm.assets.image import ImageAsset
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from vllm.assets.video import VideoAsset
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from vllm.config import TaskOption, TokenizerPoolConfig
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from vllm.connections import global_http_connection
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from vllm.distributed import (destroy_distributed_environment,
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destroy_model_parallel,
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from vllm.distributed import (cleanup_dist_env_and_memory,
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init_distributed_environment,
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initialize_model_parallel)
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from vllm.inputs import (ExplicitEncoderDecoderPrompt, TextPrompt,
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@@ -140,17 +137,7 @@ def dist_init():
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)
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initialize_model_parallel(1, 1)
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yield
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cleanup()
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def cleanup():
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destroy_model_parallel()
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destroy_distributed_environment()
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with contextlib.suppress(AssertionError):
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torch.distributed.destroy_process_group()
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gc.collect()
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if not is_cpu():
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torch.cuda.empty_cache()
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cleanup_dist_env_and_memory()
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@pytest.fixture()
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@@ -167,7 +154,7 @@ def should_do_global_cleanup_after_test(request) -> bool:
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def cleanup_fixture(should_do_global_cleanup_after_test: bool):
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yield
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if should_do_global_cleanup_after_test:
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cleanup()
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cleanup_dist_env_and_memory()
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@pytest.fixture(autouse=True)
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@@ -606,7 +593,7 @@ class HfRunner:
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def __exit__(self, exc_type, exc_value, traceback):
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del self.model
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cleanup()
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cleanup_dist_env_and_memory()
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@pytest.fixture(scope="session")
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@@ -861,7 +848,7 @@ class VllmRunner:
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def __exit__(self, exc_type, exc_value, traceback):
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del self.model
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cleanup()
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cleanup_dist_env_and_memory()
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@pytest.fixture(scope="session")
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