mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
e63d715fc3
* [Feature] add metrics for ZMQ and fix multiprocess metrics * fix test_metrics.py --------- Co-authored-by: Jiaxin Sui <95567040+plusNew001@users.noreply.github.com>
140 lines
4.2 KiB
Python
140 lines
4.2 KiB
Python
"""
|
|
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License"
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""
|
|
|
|
import os
|
|
import subprocess
|
|
import sys
|
|
import uuid
|
|
|
|
# suppress warning log from paddlepaddle
|
|
os.environ["GLOG_minloglevel"] = "2"
|
|
# suppress log from aistudio
|
|
os.environ["AISTUDIO_LOG"] = "critical"
|
|
# set prometheus dir
|
|
if os.getenv("PROMETHEUS_MULTIPROC_DIR", "") == "":
|
|
prom_dir = f"/tmp/fd_prom_{str(uuid.uuid4())}"
|
|
os.environ["PROMETHEUS_MULTIPROC_DIR"] = prom_dir
|
|
if os.path.exists(prom_dir):
|
|
os.rmdir(prom_dir)
|
|
os.mkdir(prom_dir)
|
|
|
|
import typing
|
|
|
|
# first import prometheus setup to set PROMETHEUS_MULTIPROC_DIR
|
|
# otherwise, the Prometheus package will be imported first,
|
|
# which will prevent correct multi-process setup
|
|
from fastdeploy.metrics.prometheus_multiprocess_setup import (
|
|
setup_multiprocess_prometheus,
|
|
)
|
|
|
|
setup_multiprocess_prometheus()
|
|
|
|
from paddleformers.utils.log import logger as pf_logger
|
|
|
|
from fastdeploy.engine.sampling_params import SamplingParams
|
|
from fastdeploy.entrypoints.llm import LLM
|
|
from fastdeploy.utils import current_package_version, envs
|
|
|
|
if envs.FD_DEBUG != 1:
|
|
import logging
|
|
|
|
pf_logger.logger.setLevel(logging.INFO)
|
|
|
|
try:
|
|
import use_triton_in_paddle
|
|
|
|
use_triton_in_paddle.make_triton_compatible_with_paddle()
|
|
except ImportError:
|
|
pass
|
|
# TODO(tangbinhan): remove this code
|
|
|
|
__version__ = current_package_version()
|
|
|
|
|
|
def _patch_fastsafetensors():
|
|
try:
|
|
file_path = (
|
|
subprocess.check_output(
|
|
[
|
|
sys.executable,
|
|
"-c",
|
|
"import fastsafetensors, os; \
|
|
print(os.path.join(os.path.dirname(fastsafetensors.__file__), \
|
|
'frameworks', '_paddle.py'))",
|
|
]
|
|
)
|
|
.decode()
|
|
.strip()
|
|
)
|
|
|
|
with open(file_path, "r") as f:
|
|
content = f.read()
|
|
if "DType.U16: DType.BF16," in content and "DType.U8: paddle.uint8," in content:
|
|
return
|
|
|
|
modified = False
|
|
if "DType.U16: DType.BF16," not in content:
|
|
lines = content.splitlines()
|
|
new_lines = []
|
|
inside_block = False
|
|
for line in lines:
|
|
new_lines.append(line)
|
|
if "need_workaround_dtypes: Dict[DType, DType] = {" in line:
|
|
inside_block = True
|
|
elif inside_block and "}" in line:
|
|
new_lines.insert(-1, " DType.U16: DType.BF16,")
|
|
inside_block = False
|
|
modified = True
|
|
content = "\n".join(new_lines)
|
|
|
|
if "DType.I8: paddle.uint8," in content:
|
|
content = content.replace("DType.I8: paddle.uint8,", "DType.U8: paddle.uint8,")
|
|
modified = True
|
|
|
|
if modified:
|
|
with open(file_path, "w") as f:
|
|
f.write(content + "\n")
|
|
|
|
except Exception as e:
|
|
print(f"Failed to patch fastsafetensors: {e}")
|
|
|
|
|
|
_patch_fastsafetensors()
|
|
|
|
|
|
MODULE_ATTRS = {"ModelRegistry": ".model_executor.models.model_base:ModelRegistry", "version": ".utils:version"}
|
|
|
|
|
|
if typing.TYPE_CHECKING:
|
|
from fastdeploy.model_executor.models.model_base import ModelRegistry
|
|
else:
|
|
|
|
def __getattr__(name: str) -> typing.Any:
|
|
from importlib import import_module
|
|
|
|
if name in MODULE_ATTRS:
|
|
try:
|
|
module_name, attr_name = MODULE_ATTRS[name].split(":")
|
|
module = import_module(module_name, __package__)
|
|
return getattr(module, attr_name)
|
|
except ModuleNotFoundError:
|
|
print(f"Module {MODULE_ATTRS[name]} not found.")
|
|
else:
|
|
print(f"module {__package__} has no attribute {name}")
|
|
|
|
|
|
__all__ = ["LLM", "SamplingParams", "ModelRegistry", "version"]
|