[core][bugfix] configure env var during import vllm (#12209)
Signed-off-by: youkaichao <youkaichao@gmail.com>
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@@ -1,6 +1,9 @@
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import logging
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import os
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from typing import Callable, Dict
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import torch
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import vllm.envs as envs
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logger = logging.getLogger(__name__)
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@@ -51,6 +54,26 @@ def load_general_plugins():
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if plugins_loaded:
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return
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plugins_loaded = True
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# some platform-specific configurations
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from vllm.platforms import current_platform
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if current_platform.is_xpu():
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# see https://github.com/pytorch/pytorch/blob/43c5f59/torch/_dynamo/config.py#L158
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torch._dynamo.config.disable = True
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elif current_platform.is_hpu():
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# NOTE(kzawora): PT HPU lazy backend (PT_HPU_LAZY_MODE = 1)
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# does not support torch.compile
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# Eager backend (PT_HPU_LAZY_MODE = 0) must be selected for
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# torch.compile support
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is_lazy = os.environ.get('PT_HPU_LAZY_MODE', '1') == '1'
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if is_lazy:
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torch._dynamo.config.disable = True
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# NOTE(kzawora) multi-HPU inference with HPUGraphs (lazy-only)
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# requires enabling lazy collectives
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# see https://docs.habana.ai/en/latest/PyTorch/Inference_on_PyTorch/Inference_Using_HPU_Graphs.html # noqa: E501
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os.environ['PT_HPU_ENABLE_LAZY_COLLECTIVES'] = 'true'
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plugins = load_plugins_by_group(group='vllm.general_plugins')
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# general plugins, we only need to execute the loaded functions
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for func in plugins.values():
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