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https://git.datalinker.icu/vllm-project/vllm.git
synced 2026-07-08 23:27:25 +08:00
add local rank
Signed-off-by: yewentao256 <zhyanwentao@126.com>
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parent
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@ -1623,6 +1623,29 @@ def is_global_first_rank() -> bool:
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return True
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return True
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def is_local_first_rank() -> bool:
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"""
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Check if the current process is the first local rank (rank 0 on its node).
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"""
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try:
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# prefer the initialized world group if available
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global _WORLD
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if _WORLD is not None:
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return _WORLD.local_rank == 0
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if not torch.distributed.is_initialized():
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return True
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# fallback to environment-provided local rank if available
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# note: envs.LOCAL_RANK is set when using env:// launchers (e.g., torchrun)
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try:
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return int(envs.LOCAL_RANK) == 0 # type: ignore[arg-type]
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except Exception:
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return torch.distributed.get_rank() == 0
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except Exception:
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return True
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def _node_count(pg: ProcessGroup | StatelessProcessGroup) -> int:
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def _node_count(pg: ProcessGroup | StatelessProcessGroup) -> int:
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"""
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"""
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Returns the total number of nodes in the process group.
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Returns the total number of nodes in the process group.
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@ -13,7 +13,7 @@ from transformers.utils import SAFE_WEIGHTS_INDEX_NAME
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from vllm.config import ModelConfig
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from vllm.config import ModelConfig
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from vllm.config.load import LoadConfig
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from vllm.config.load import LoadConfig
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from vllm.distributed.parallel_state import is_global_first_rank
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from vllm.distributed.parallel_state import is_local_first_rank
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from vllm.logger import init_logger
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from vllm.logger import init_logger
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from vllm.model_executor.layers.quantization.torchao import torchao_version_at_least
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from vllm.model_executor.layers.quantization.torchao import torchao_version_at_least
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from vllm.model_executor.model_loader.base_loader import BaseModelLoader
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from vllm.model_executor.model_loader.base_loader import BaseModelLoader
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@ -312,7 +312,7 @@ class DefaultModelLoader(BaseModelLoader):
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loaded_weights = load_weights_and_online_quantize(self, model, model_config)
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loaded_weights = load_weights_and_online_quantize(self, model, model_config)
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self.counter_after_loading_weights = time.perf_counter()
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self.counter_after_loading_weights = time.perf_counter()
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if is_global_first_rank():
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if is_local_first_rank():
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logger.info(
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logger.info(
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"Loading weights took %.2f seconds",
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"Loading weights took %.2f seconds",
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self.counter_after_loading_weights
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self.counter_after_loading_weights
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