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e489ad7a21
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com>
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com>
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com>
83 lines
2.9 KiB
Python
83 lines
2.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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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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# make sure one process only loads plugins once
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plugins_loaded = False
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def load_plugins_by_group(group: str) -> Dict[str, Callable]:
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import sys
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if sys.version_info < (3, 10):
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from importlib_metadata import entry_points
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else:
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from importlib.metadata import entry_points
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allowed_plugins = envs.VLLM_PLUGINS
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discovered_plugins = entry_points(group=group)
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if len(discovered_plugins) == 0:
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logger.debug("No plugins for group %s found.", group)
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return {}
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logger.info("Available plugins for group %s:", group)
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for plugin in discovered_plugins:
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logger.info("name=%s, value=%s", plugin.name, plugin.value)
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if allowed_plugins is None:
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logger.info("all available plugins for group %s will be loaded.",
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group)
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logger.info("set environment variable VLLM_PLUGINS to control"
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" which plugins to load.")
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plugins = {}
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for plugin in discovered_plugins:
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if allowed_plugins is None or plugin.name in allowed_plugins:
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try:
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func = plugin.load()
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plugins[plugin.name] = func
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logger.info("plugin %s loaded.", plugin.name)
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except Exception:
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logger.exception("Failed to load plugin %s", plugin.name)
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return plugins
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def load_general_plugins():
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"""WARNING: plugins can be loaded for multiple times in different
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processes. They should be designed in a way that they can be loaded
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multiple times without causing issues.
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"""
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global plugins_loaded
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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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func()
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