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[Bugfix] fix RAY_CGRAPH_get_timeout is not set successfully (#19725)
Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>
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@ -557,8 +557,17 @@ class RayDistributedExecutor(DistributedExecutorBase):
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def _compiled_ray_dag(self, enable_asyncio: bool):
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assert self.parallel_config.use_ray
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self._check_ray_cgraph_installation()
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# Enlarge the default value of "RAY_CGRAPH_get_timeout" to 300 seconds
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# (it is 10 seconds by default). This is a Ray environment variable to
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# control the timeout of getting result from a compiled graph execution,
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# i.e., the distributed execution that includes model forward runs and
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# intermediate tensor communications, in the case of vllm.
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# Note: we should set this env var before importing
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# ray.dag, otherwise it will not take effect.
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os.environ.setdefault("RAY_CGRAPH_get_timeout", "300") # noqa: SIM112
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from ray.dag import InputNode, MultiOutputNode
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logger.info("RAY_CGRAPH_get_timeout is set to %s",
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os.environ["RAY_CGRAPH_get_timeout"]) # noqa: SIM112
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logger.info("VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE = %s",
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envs.VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE)
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logger.info("VLLM_USE_RAY_COMPILED_DAG_OVERLAP_COMM = %s",
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@ -570,15 +579,6 @@ class RayDistributedExecutor(DistributedExecutorBase):
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"Invalid value for VLLM_USE_RAY_COMPILED_DAG_CHANNEL_TYPE: "
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f"{channel_type}. Valid values are: 'auto', 'nccl', or 'shm'.")
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# Enlarge the default value of "RAY_CGRAPH_get_timeout" to 300 seconds
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# (it is 10 seconds by default). This is a Ray environment variable to
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# control the timeout of getting result from a compiled graph execution,
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# i.e., the distributed execution that includes model forward runs and
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# intermediate tensor communications, in the case of vllm.
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os.environ.setdefault("RAY_CGRAPH_get_timeout", "300") # noqa: SIM112
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logger.info("RAY_CGRAPH_get_timeout is set to %s",
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os.environ["RAY_CGRAPH_get_timeout"]) # noqa: SIM112
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with InputNode() as input_data:
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# Example DAG: PP=2, TP=4
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#
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