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setup.py
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setup.py
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#!/usr/bin/env python
#
# Copyright 2016 The BigDL Authors.
#
# 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.
#
# >> Usage:
#
# >>>> Build for the current platform:
# python setup.py clean --all bdist_wheel
# >>>> Windows:
# python setup.py clean --all bdist_wheel --win
# >>>> Linux：
# python setup.py clean --all bdist_wheel --linux
import fnmatch
import os
import platform
import shutil
import sys
import urllib.request
import requests
import re
import glob
import copy
from setuptools import setup
long_description = '''
IPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency
'''
exclude_patterns = ["*__pycache__*", "*ipynb_checkpoints*"]
IPEX_LLM_PYTHON_HOME = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
VERSION = open(os.path.join(IPEX_LLM_PYTHON_HOME,
'./llm/version.txt'), 'r').read().strip()
CORE_XE_VERSION = VERSION.replace("2.2.0", "2.6.0")
llm_home = os.path.join(os.path.dirname(os.path.abspath(__file__)), "src")
github_artifact_dir = os.path.join(llm_home, '../llm-binary')
libs_dir = os.path.join(llm_home, "ipex_llm", "libs")
cpu_torch_version = ["torch==2.1.2+cpu;platform_system=='Linux'", "torch==2.1.2;platform_system=='Windows'"]
CONVERT_DEP = ['numpy == 1.26.4', # lastet 2.0.0b1 will cause error
'transformers == 4.37.0', 'sentencepiece', 'tokenizers == 0.15.2',
'accelerate == 0.23.0', 'tabulate'] + cpu_torch_version
SERVING_DEP = ['fschat[model_worker, webui] == 0.2.36', 'protobuf']
windows_binarys = [
"llama.dll",
"gptneox.dll",
"bloom.dll",
"starcoder.dll",
"llama-api.dll",
"gptneox-api.dll",
"bloom-api.dll",
"starcoder-api.dll",
"quantize-llama.exe",
"quantize-gptneox.exe",
"quantize-bloom.exe",
"quantize-starcoder.exe",
"main-llama.exe",
"main-gptneox.exe",
"main-bloom.exe",
"main-starcoder.exe",
"libllama_vnni.dll",
"libgptneox_vnni.dll",
"libbloom_vnni.dll",
"libstarcoder_vnni.dll",
"libllama_avx.dll",
"libgptneox_avx.dll",
"libbloom_avx.dll",
"libstarcoder_avx.dll",
"quantize-llama_vnni.exe",
"quantize-gptneox_vnni.exe",
"quantize-bloom_vnni.exe",
"quantize-starcoder_vnni.exe",
"pipeline.dll"
]
linux_binarys = [
"libllama_avx.so",
"libgptneox_avx.so",
"libbloom_avx.so",
"libstarcoder_avx.so",
"libllama_avx2.so",
"libgptneox_avx2.so",
"libbloom_avx2.so",
"libstarcoder_avx2.so",
"libllama_avxvnni.so",
"libgptneox_avxvnni.so",
"libbloom_avxvnni.so",
"libstarcoder_avxvnni.so",
"libllama_avx512.so",
"libgptneox_avx512.so",
"libbloom_avx512.so",
"libstarcoder_avx512.so",
"libllama_amx.so",
"libgptneox_amx.so",
"libbloom_amx.so",
"libstarcoder_amx.so",
"quantize-llama",
"quantize-gptneox",
"quantize-bloom",
"quantize-starcoder",
"libllama-api.so",
"libgptneox-api.so",
"libbloom-api.so",
"libstarcoder-api.so",
"main-llama",
"main-gptneox",
"main-bloom",
"main-starcoder"
]
ext_lib_urls = [
"https://github.com/analytics-zoo/jemalloc/releases/download/v5.3.0/libjemalloc.so",
"https://github.com/analytics-zoo/tcmalloc/releases/download/v2.10/libtcmalloc.so"
]
ext_libs = [
"libjemalloc.so",
"libtcmalloc.so"
]
def get_llm_packages():
llm_packages = []
for dirpath, _, _ in os.walk(os.path.join(llm_home, "ipex_llm")):
print(dirpath)
package = dirpath.split(llm_home + os.sep)[1].replace(os.sep, '.')
if any(fnmatch.fnmatchcase(package, pat=pattern)
for pattern in exclude_patterns):
print("excluding", package)
else:
llm_packages.append(package)
print("including", package)
return llm_packages
def obtain_lib_urls():
base_url = "https://sourceforge.net/projects/analytics-zoo/files/bigdl-llm/"
def get_date_urls(base_url):
# obtain all urls based on date(format: xxxx-xx-xx)
text = ''
try:
text = requests.get(base_url).text
except Exception as e:
print("error - > ", base_url, e)
pass
reg = "https://sourceforge.net/projects/analytics-zoo/files/bigdl-llm/[0-9]{4}-[0-9]{1,2}-[0-9]{1,2}/"
urls = re.findall(reg, text)
return urls
def get_urls_for_binary(date_urls, binarys):
# Sort by time from near to far
date_urls = sorted(date_urls, reverse=True)
binary_url = {}
download_num = len(binarys)
for url in date_urls:
try:
text = requests.get(url).text
except Exception as e:
print("error - > ", url, e)
continue
for binary in binarys:
if binary in binary_url:
continue
# Filename hard matching
match_pattern = "\"name\":\"{}\"".format(binary)
if match_pattern in text:
lib_url = url + binary
binary_url[binary] = lib_url
download_num -= 1
if download_num == 0:
break
if download_num == 0:
break
return binary_url
lib_urls = {}
date_urls = get_date_urls(base_url)
windows_binary_urls = get_urls_for_binary(date_urls, windows_binarys)
lib_urls["Windows"] = list(windows_binary_urls.values())
linux_binary_urls = get_urls_for_binary(date_urls, linux_binarys)
lib_urls["Linux"] = list(linux_binary_urls.values()) + ext_lib_urls
return lib_urls
def download_libs(url: str, change_permission=False):
libso_file_name = url.split('/')[-1]
libso_file = os.path.join(libs_dir, libso_file_name)
if not os.path.exists(libso_file):
print(">> Downloading from ", url)
urllib.request.urlretrieve(url, libso_file)
else:
print('>> Skip downloading ', libso_file)
if change_permission:
os.chmod(libso_file, 0o775)
def setup_package():
package_data = {}
package_data["Windows"] = list(map(lambda x: os.path.join('libs', x),
windows_binarys))
package_data["Linux"] = list(map(lambda x: os.path.join('libs', x),
linux_binarys + ext_libs))
platform_name = None
if "--win" in sys.argv:
platform_name = "Windows"
sys.argv.remove("--win")
if "--linux" in sys.argv:
platform_name = "Linux"
sys.argv.remove("--linux")
if platform_name is None:
if platform.platform().startswith('Windows'):
platform_name = "Windows"
else:
platform_name = "Linux"
change_permission = True if platform_name == "Linux" else False
# Delete legacy libs
if os.path.exists(libs_dir):
print(f"Deleting existing libs_dir {libs_dir} ....")
shutil.rmtree(libs_dir)
os.makedirs(libs_dir, exist_ok=True)
open(os.path.join(libs_dir, "__init__.py"), 'w').close()
# copy built files for github workflow
for built_file in glob.glob(os.path.join(github_artifact_dir, '*')):
print(f'Copy workflow built file: {built_file}')
if change_permission:
os.chmod(built_file, 0o775)
shutil.copy(built_file, libs_dir)
lib_urls = obtain_lib_urls()
for url in lib_urls[platform_name]:
download_libs(url, change_permission=change_permission)
# Check if all package files are ready
for file in package_data[platform_name]:
file_path = os.path.join(libs_dir, os.path.basename(file))
if not os.path.exists(file_path):
print(f'Could not find package dependency file: {file_path}')
raise FileNotFoundError(
f'Could not find package dependency file: {file_path}')
all_requires = ['py-cpuinfo', 'protobuf',
"intel-openmp; (platform_machine=='x86_64' or platform_machine == 'AMD64')",
'mpmath==1.3.0' # fix AttributeError: module 'mpmath' has no attribute 'rational'
]
all_requires += CONVERT_DEP
# Add internal requires for llama-index
llama_index_requires = copy.deepcopy(all_requires)
for exclude_require in cpu_torch_version:
llama_index_requires.remove(exclude_require)
llama_index_requires += ["setuptools<70.0.0"]
llama_index_requires += ["torch<2.2.0",
"sentence-transformers~=2.6.1"]
oneapi_2024_0_requires = ["dpcpp-cpp-rt==2024.0.2;platform_system=='Windows'",
"mkl-dpcpp==2024.0.0;platform_system=='Windows'"]
oneapi_2024_2_requires = ["dpcpp-cpp-rt==2024.2.1;platform_system=='Windows'",
"mkl-dpcpp==2024.2.1;platform_system=='Windows'"]
# Linux install with --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
xpu_21_requires = copy.deepcopy(all_requires)
for exclude_require in cpu_torch_version:
xpu_21_requires.remove(exclude_require)
xpu_21_requires += ["setuptools<70.0.0"]
xpu_21_requires += ["torch==2.1.0a0",
"torchvision==0.16.0a0",
"intel_extension_for_pytorch==2.1.10+xpu",
"bigdl-core-xe-21==" + CORE_XE_VERSION,
"bigdl-core-xe-batch-21==" + CORE_XE_VERSION,
"bigdl-core-xe-addons-21==" + CORE_XE_VERSION]
xpu_21_requires += oneapi_2024_0_requires
# default to ipex 2.1 for linux and windows
xpu_requires = copy.deepcopy(xpu_21_requires)
xpu_lnl_requires = copy.deepcopy(all_requires)
for exclude_require in cpu_torch_version:
xpu_lnl_requires.remove(exclude_require)
xpu_lnl_requires += ["torch==2.3.1.post0+cxx11.abi;platform_system=='Windows'",
"torchvision==0.18.1.post0+cxx11.abi;platform_system=='Windows'",
"intel-extension-for-pytorch==2.3.110.post0+xpu;platform_system=='Windows'",
"torch==2.3.1+cxx11.abi;platform_system=='Linux'",
"torchvision==0.18.1+cxx11.abi;platform_system=='Linux'",
"intel-extension-for-pytorch==2.3.110+xpu;platform_system=='Linux'",
"bigdl-core-xe-23==" + CORE_XE_VERSION,
"bigdl-core-xe-batch-23==" + CORE_XE_VERSION,
"bigdl-core-xe-addons-23==" + CORE_XE_VERSION,
"onednn-devel==2024.1.1;platform_system=='Windows'"]
cpp_requires = ["bigdl-core-cpp==" + CORE_XE_VERSION,
"onednn-devel==2024.2.1;platform_system=='Windows'"]
cpp_requires += oneapi_2024_2_requires
cpp_arl_requires = ["bigdl-core-cpp==" + CORE_XE_VERSION,
"onednn-devel==2024.1.1;platform_system=='Windows'"]
cpp_arl_requires += oneapi_2024_2_requires
serving_requires = ['py-cpuinfo']
serving_requires += SERVING_DEP
npu_requires = copy.deepcopy(all_requires)
cpu_transformers_version = ['transformers == 4.37.0', 'tokenizers == 0.15.2']
for exclude_require in cpu_transformers_version:
npu_requires.remove(exclude_require)
npu_requires += ["transformers==4.40.0",
"bigdl-core-npu==" + CORE_XE_VERSION + ";platform_system=='Windows'"]
metadata = dict(
name='ipex_llm',
version=VERSION,
description='Large Language Model Develop Toolkit',
long_description=long_description,
long_description_content_type="text/markdown",
author='BigDL Authors',
author_email='[email protected]',
license='Apache License, Version 2.0',
url='https://github.com/intel-analytics/ipex-llm',
packages=get_llm_packages(),
package_dir={"": "src"},
package_data={
"ipex_llm": package_data[platform_name] + ["cli/prompts/*.txt"] + ["transformers/gguf/models/model_implement/*/*.json"]},
include_package_data=True,
entry_points={
"console_scripts": [
'llm-convert=ipex_llm.convert_model:main'
]
},
extras_require={"all": all_requires,
"xpu": xpu_requires, # default to ipex 2.1 for linux and windows
"npu": npu_requires,
"xpu-2-1": xpu_21_requires,
"xpu-lnl": xpu_lnl_requires,
"xpu-arl": xpu_lnl_requires,
"xpu-arc": xpu_lnl_requires,
"serving": serving_requires,
"cpp": cpp_requires,
"cpp-arl": cpp_arl_requires,
"llama-index": llama_index_requires}, # for internal usage when upstreaming for llama-index
classifiers=[
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: Implementation :: CPython'],
scripts={
'Linux': ['src/ipex_llm/cli/llm-cli', 'src/ipex_llm/cli/llm-chat', 'scripts/ipex-llm-init'],
'Windows': ['src/ipex_llm/cli/llm-cli.ps1', 'src/ipex_llm/cli/llm-chat.ps1', 'scripts/ipex-llm-init.bat'],
}[platform_name],
platforms=['windows']
)
setup(**metadata)
if __name__ == '__main__':
setup_package()