mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-09-26 20:41:53 +08:00
238 lines
8.2 KiB
Python
238 lines
8.2 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 re
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import subprocess
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import sys
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from pathlib import Path
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import paddle
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from setuptools import Extension, find_packages, setup
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from setuptools.command.build_ext import build_ext
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from setuptools.command.install import install
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from wheel.bdist_wheel import bdist_wheel
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long_description = "FastDeploy: Large Language Model Serving.\n\n"
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long_description += "GitHub: https://github.com/PaddlePaddle/FastDeploy\n"
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long_description += "Email: dltp@baidu.com"
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# Platform to CMake mapping
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PLAT_TO_CMAKE = {
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"win32": "Win32",
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"win-amd64": "x64",
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"win-arm32": "ARM",
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"win-arm64": "ARM64",
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}
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class CustomBdistWheel(bdist_wheel):
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"""Custom wheel builder for pure Python packages."""
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def finalize_options(self):
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"""Configure wheel as pure Python and platform-independent."""
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super().finalize_options()
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self.root_is_pure = True
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self.python_tag = "py3"
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self.abi_tag = "none"
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self.plat_name_supplied = True
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self.plat_name = "any"
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class CMakeExtension(Extension):
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"""A setuptools Extension for CMake-based builds."""
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def __init__(self, name: str, sourcedir: str = "", version: str = None) -> None:
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"""
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Initialize CMake extension.
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Args:
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name (str): Name of the extension.
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sourcedir (str): Source directory path.
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version (str): Optional version string (set to None to disable version info)
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"""
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super().__init__(name, sources=[])
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self.sourcedir = os.fspath(Path(sourcedir).resolve())
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self.version = version
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class CMakeBuild(build_ext):
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"""Custom build_ext command using CMake."""
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def get_ext_filename(self, ext_name):
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"""Remove Python version tag from extension filename"""
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return ext_name.split(".")[0] + ".so"
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def build_extension(self, ext: CMakeExtension) -> None:
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"""
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Build the CMake extension.
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Args:
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ext (CMakeExtension): The extension to build.
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"""
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ext_fullpath = Path.cwd() / self.get_ext_fullpath(ext.name)
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extdir = ext_fullpath.parent.resolve()
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cfg = "Debug" if int(os.environ.get("DEBUG", 0)) else "Release"
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cmake_args = [
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f"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY={extdir}{os.sep}",
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f"-DPYTHON_EXECUTABLE={sys.executable}",
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f"-DCMAKE_BUILD_TYPE={cfg}",
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"-DVERSION_INFO=",
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"-DPYBIND11_PYTHON_VERSION=",
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"-DPYTHON_VERSION=",
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f"-DPYTHON_INCLUDE_DIR={sys.prefix}/include/python{sys.version_info.major}.{sys.version_info.minor}",
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f"-DPYTHON_LIBRARY={sys.prefix}/lib/libpython{sys.version_info.major}.{sys.version_info.minor}.so",
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]
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build_args = []
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cmake_generator = os.environ.get("CMAKE_GENERATOR", "")
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if self.compiler.compiler_type != "msvc":
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if not cmake_generator or cmake_generator == "Ninja":
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try:
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import ninja
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ninja_executable_path = Path(ninja.BIN_DIR) / "ninja"
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cmake_args += [
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"-GNinja",
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f"-DCMAKE_MAKE_PROGRAM:FILEPATH={ninja_executable_path}",
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]
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except ImportError:
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pass
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else:
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if "NMake" not in cmake_generator and "Ninja" not in cmake_generator:
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cmake_args += ["-A", PLAT_TO_CMAKE[self.plat_name]]
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if "NMake" not in cmake_generator and "Ninja" not in cmake_generator:
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cmake_args += [f"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{cfg.upper()}={extdir}"]
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build_args += ["--config", cfg]
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if sys.platform.startswith("darwin"):
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archs = re.findall(r"-arch (\S+)", os.environ.get("ARCHFLAGS", ""))
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if archs:
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cmake_args += ["-DCMAKE_OSX_ARCHITECTURES={}".format(";".join(archs))]
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if "CMAKE_BUILD_PARALLEL_LEVEL" not in os.environ and hasattr(self, "parallel") and self.parallel:
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build_args += [f"-j{self.parallel}"]
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build_temp = Path(self.build_temp) / ext.name
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build_temp.mkdir(parents=True, exist_ok=True)
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subprocess.run(["cmake", ext.sourcedir, *cmake_args], cwd=build_temp, check=True)
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subprocess.run(["cmake", "--build", ".", *build_args], cwd=build_temp, check=True)
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class PostInstallCommand(install):
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"""在标准安装完成后执行自定义命令"""
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def run(self):
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# 先执行标准安装步骤
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install.run(self)
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# 执行自定义命令
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subprocess.check_call(["opentelemetry-bootstrap", "-a", "install"])
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def load_requirements():
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"""Load dependencies from requirements.txt"""
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requirements_file_name = "requirements.txt"
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if paddle.is_compiled_with_custom_device("iluvatar_gpu"):
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requirements_file_name = "requirements_iluvatar.txt"
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elif paddle.is_compiled_with_rocm():
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requirements_file_name = "requirements_dcu.txt"
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requirements_path = os.path.join(os.path.dirname(__file__), requirements_file_name)
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with open(requirements_path, "r") as f:
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return [line.strip() for line in f if line.strip() and not line.startswith("#")]
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def get_device_type():
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"""Get the device type (rocm/gpu/xpu/npu/cpu) that paddle is compiled with."""
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if paddle.is_compiled_with_rocm():
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return "rocm"
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elif paddle.is_compiled_with_cuda():
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return "gpu"
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elif paddle.is_compiled_with_xpu():
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return "xpu"
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elif paddle.is_compiled_with_custom_device("npu"):
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return "npu"
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elif paddle.is_compiled_with_custom_device("iluvatar_gpu"):
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return "iluvatar-gpu"
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elif paddle.is_compiled_with_custom_device("gcu"):
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return "gcu"
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else:
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return "cpu"
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def get_name():
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"""get package name"""
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return "fastdeploy-" + get_device_type()
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cmdclass_dict = {"bdist_wheel": CustomBdistWheel}
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cmdclass_dict["build_ext"] = CMakeBuild
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FASTDEPLOY_VERSION = os.environ.get("FASTDEPLOY_VERSION", "2.1.0")
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cmdclass_dict["build_optl"] = PostInstallCommand
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setup(
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name=get_name(),
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version=FASTDEPLOY_VERSION,
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author="PaddlePaddle",
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author_email="dltp@baidu.com",
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description="FastDeploy: Large Language Model Serving.",
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long_description=long_description,
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long_description_content_type="text/plain",
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url="https://github.com/PaddlePaddle/FastDeploy",
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packages=find_packages(),
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package_dir={"fastdeploy": "fastdeploy/"},
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package_data={
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"fastdeploy": [
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"model_executor/ops/gpu/*",
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"model_executor/ops/gpu/deep_gemm/include/**/*",
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"model_executor/ops/cpu/*",
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"model_executor/ops/xpu/*",
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"model_executor/ops/xpu/libs/*",
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"model_executor/ops/npu/*",
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"model_executor/ops/base/*",
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"model_executor/ops/iluvatar/*",
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"model_executor/models/*",
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"model_executor/layers/*",
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"input/mm_processor/utils/*",
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"model_executor/ops/gcu/*",
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"version.txt",
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]
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},
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install_requires=load_requirements(),
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ext_modules=(
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[
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CMakeExtension(
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"rdma_comm",
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sourcedir="fastdeploy/cache_manager/transfer_factory/kvcache_transfer",
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version=None,
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)
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]
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if os.getenv("ENABLE_FD_RDMA", "0") == "1"
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else []
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),
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cmdclass=cmdclass_dict if os.getenv("ENABLE_FD_RDMA", "0") == "1" else {},
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zip_safe=False,
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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],
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license="Apache 2.0",
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python_requires=">=3.7",
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extras_require={"test": ["pytest>=6.0"]},
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)
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