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https://git.datalinker.icu/vllm-project/vllm.git
synced 2026-01-03 23:00:56 +08:00
[misc] add torch.compile compatibility check (#10618)
Signed-off-by: youkaichao <youkaichao@gmail.com>
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65813781a2
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@ -81,7 +81,7 @@ def test_engine_core_client(monkeypatch, multiprocessing_mode: bool):
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with monkeypatch.context() as m:
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m.setenv("VLLM_USE_V1", "1")
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engine_args = EngineArgs(model=MODEL_NAME)
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engine_args = EngineArgs(model=MODEL_NAME, compilation_config=3)
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vllm_config = engine_args.create_engine_config()
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executor_class = AsyncLLM._get_executor_cls(vllm_config)
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client = EngineCoreClient.make_client(
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@ -2394,6 +2394,20 @@ class VllmConfig:
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self.compilation_config.pass_config.enable_reshape = False
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self.compilation_config.level = CompilationLevel.PIECEWISE
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if self.cache_config is not None and \
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self.cache_config.cpu_offload_gb > 0 and \
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self.compilation_config.level != CompilationLevel.NO_COMPILATION:
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logger.warning(
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"CPU offload is not supported with `torch.compile` yet."
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" Disabling `torch.compile`.")
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self.compilation_config.level = CompilationLevel.NO_COMPILATION
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if self.lora_config is not None and self.compilation_config.level !=\
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CompilationLevel.NO_COMPILATION:
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logger.warning("LoRA is not supported with `torch.compile` yet. "
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"Disabling `torch.compile`.")
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self.compilation_config.level = CompilationLevel.NO_COMPILATION
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current_platform.check_and_update_config(self)
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def __str__(self):
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@ -197,6 +197,13 @@ class EngineArgs:
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if not self.tokenizer:
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self.tokenizer = self.model
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# support `EngineArgs(compilation_config={...})`
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# without having to manually construct a
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# CompilationConfig object
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if isinstance(self.compilation_config, (int, dict)):
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self.compilation_config = CompilationConfig.from_cli(
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json.dumps(self.compilation_config))
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# Setup plugins
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from vllm.plugins import load_general_plugins
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load_general_plugins()
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