mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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87 lines
2.6 KiB
Python
87 lines
2.6 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import os
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import uuid
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# suppress warning log from paddlepaddle
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os.environ["GLOG_minloglevel"] = "2"
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# suppress log from aistudio
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os.environ["AISTUDIO_LOG"] = "critical"
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# set prometheus dir
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if os.getenv("PROMETHEUS_MULTIPROC_DIR", "") == "":
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prom_dir = f"/tmp/fd_prom_{str(uuid.uuid4())}"
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os.environ["PROMETHEUS_MULTIPROC_DIR"] = prom_dir
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if os.path.exists(prom_dir):
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os.rmdir(prom_dir)
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os.mkdir(prom_dir)
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import typing
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# first import prometheus setup to set PROMETHEUS_MULTIPROC_DIR
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# otherwise, the Prometheus package will be imported first,
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# which will prevent correct multi-process setup
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from fastdeploy.metrics.prometheus_multiprocess_setup import (
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setup_multiprocess_prometheus,
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)
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setup_multiprocess_prometheus()
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from paddleformers.utils.log import logger as pf_logger
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from fastdeploy.engine.sampling_params import SamplingParams
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from fastdeploy.entrypoints.llm import LLM
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from fastdeploy.utils import current_package_version, envs
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if envs.FD_DEBUG != 1:
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import logging
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pf_logger.logger.setLevel(logging.INFO)
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try:
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import use_triton_in_paddle
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use_triton_in_paddle.make_triton_compatible_with_paddle()
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except ImportError:
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pass
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# TODO(tangbinhan): remove this code
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__version__ = current_package_version()
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MODULE_ATTRS = {"ModelRegistry": ".model_executor.models.model_base:ModelRegistry", "version": ".utils:version"}
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if typing.TYPE_CHECKING:
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from fastdeploy.model_executor.models.model_base import ModelRegistry
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else:
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def __getattr__(name: str) -> typing.Any:
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from importlib import import_module
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if name in MODULE_ATTRS:
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try:
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module_name, attr_name = MODULE_ATTRS[name].split(":")
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module = import_module(module_name, __package__)
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return getattr(module, attr_name)
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except ModuleNotFoundError:
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print(f"Module {MODULE_ATTRS[name]} not found.")
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else:
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print(f"module {__package__} has no attribute {name}")
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__all__ = ["LLM", "SamplingParams", "ModelRegistry", "version"]
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