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https://github.com/PaddlePaddle/FastDeploy.git
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326715569d
* Update __init__.py * [Python] Update python whl setup.py * [cmake] support fd & paddle inference custom libs on win/linux * [cmake] support fd & paddle inference custom libs on win/linux * [Bug Fix] fixed paddle inference headers include policy * [Bug Fix] fixed paddle inference headers include policy * [Bug Fix] fixed paddle inference headers include policy
88 lines
3.0 KiB
Python
Executable File
88 lines
3.0 KiB
Python
Executable File
# Copyright (c) 2022 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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from __future__ import absolute_import
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import logging
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import os
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import sys
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# Create a symbol link to tensorrt library.
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trt_directory = os.path.join(
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os.path.dirname(os.path.abspath(__file__)),
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"libs/third_libs/tensorrt/lib/")
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if os.name != "nt" and os.path.exists(trt_directory):
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logging.basicConfig(level=logging.INFO)
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for trt_lib in [
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"libnvcaffe_parser.so", "libnvinfer_plugin.so", "libnvinfer.so",
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"libnvonnxparser.so", "libnvparsers.so"
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]:
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dst = os.path.join(trt_directory, trt_lib)
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src = os.path.join(trt_directory, trt_lib + ".8")
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if not os.path.exists(dst):
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try:
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os.symlink(src, dst)
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logging.info(
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f"Create a symbolic link pointing to {src} named {dst}.")
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except OSError as e:
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logging.warning(
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f"Failed to create a symbolic link pointing to {src} by an unprivileged user. "
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"It may failed when you use Paddle TensorRT backend. "
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"Please use administator privilege to import fastdeploy at first time."
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)
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break
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logging.basicConfig(level=logging.NOTSET)
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# Note(zhoushunjie): Fix the import order of paddle and fastdeploy library.
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# This solution will be removed it when the confilct of paddle and
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# fastdeploy is fixed.
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try:
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import paddle
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except:
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pass
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from .c_lib_wrap import (
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ModelFormat,
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Backend,
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FDDataType,
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TensorInfo,
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Device,
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is_built_with_gpu,
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is_built_with_ort,
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ModelFormat,
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is_built_with_paddle,
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is_built_with_trt,
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get_default_cuda_directory, )
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def set_logger(enable_info=True, enable_warning=True):
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"""Set behaviour of logger while using FastDeploy
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:param enable_info: (boolean)Whether to print out log level of INFO
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:param enable_warning: (boolean)Whether to print out log level of WARNING, recommend to set to True
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"""
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from .c_lib_wrap import set_logger
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set_logger(enable_info, enable_warning)
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from .runtime import Runtime, RuntimeOption
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from .model import FastDeployModel
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from . import c_lib_wrap as C
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from . import vision
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from . import pipeline
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from . import text
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from . import encryption
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from .download import download, download_and_decompress, download_model, get_model_list
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from . import serving
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from .code_version import version, git_version
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__version__ = version
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