mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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dd583fb16a
* [BugFix] Fix default log level of paddleformers * [BugFix] Fix default log level of paddleformers --------- Co-authored-by: Jiang-Jia-Jun <jiangjiajun@baidu.com>
120 lines
3.6 KiB
Python
120 lines
3.6 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 subprocess
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import sys
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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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import typing
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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 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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def _patch_fastsafetensors():
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try:
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file_path = (
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subprocess.check_output(
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[
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sys.executable,
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"-c",
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"import fastsafetensors, os; \
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print(os.path.join(os.path.dirname(fastsafetensors.__file__), \
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'frameworks', '_paddle.py'))",
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]
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)
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.decode()
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.strip()
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)
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with open(file_path, "r") as f:
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content = f.read()
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if "DType.U16: DType.BF16," in content and "DType.U8: paddle.uint8," in content:
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return
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modified = False
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if "DType.U16: DType.BF16," not in content:
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lines = content.splitlines()
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new_lines = []
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inside_block = False
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for line in lines:
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new_lines.append(line)
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if "need_workaround_dtypes: Dict[DType, DType] = {" in line:
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inside_block = True
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elif inside_block and "}" in line:
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new_lines.insert(-1, " DType.U16: DType.BF16,")
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inside_block = False
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modified = True
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content = "\n".join(new_lines)
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if "DType.I8: paddle.uint8," in content:
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content = content.replace("DType.I8: paddle.uint8,", "DType.U8: paddle.uint8,")
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modified = True
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if modified:
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with open(file_path, "w") as f:
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f.write(content + "\n")
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except Exception as e:
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print(f"Failed to patch fastsafetensors: {e}")
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_patch_fastsafetensors()
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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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