* add 12.8.1 cuda to the base matrix * use nightly * bump deepspeed and set no binary * deepspeed binary fixes hopefully * install deepspeed by itself * multiline fix * make sure ninja is installed * try with reversion of packaging/setuptools/wheel install * use license instead of license-file * try rolling back packaging and setuptools versions * comment out license for validation for now * make sure packaging version is consistent * more parity across tests and docker images for packaging/setuptools
164 lines
5.3 KiB
Python
164 lines
5.3 KiB
Python
"""setup.py for axolotl"""
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import ast
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import os
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import platform
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import re
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from importlib.metadata import PackageNotFoundError, version
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from pathlib import Path
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from setuptools import find_packages, setup
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def parse_requirements():
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_install_requires = []
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_dependency_links = []
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with open("./requirements.txt", encoding="utf-8") as requirements_file:
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lines = [r.strip() for r in requirements_file.readlines()]
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for line in lines:
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is_extras = (
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"flash-attn" in line
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or "flash-attention" in line
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or "deepspeed" in line
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or "mamba-ssm" in line
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or "lion-pytorch" in line
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)
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if line.startswith("--extra-index-url"):
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# Handle custom index URLs
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_, url = line.split()
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_dependency_links.append(url)
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elif not is_extras and line and line[0] != "#":
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# Handle standard packages
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_install_requires.append(line)
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try:
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xformers_version = [req for req in _install_requires if "xformers" in req][0]
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autoawq_version = [req for req in _install_requires if "autoawq" in req][0]
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if "Darwin" in platform.system():
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# skip packages not compatible with OSX
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skip_packages = [
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"bitsandbytes",
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"triton",
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"mamba-ssm",
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"flash-attn",
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"xformers",
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"autoawq",
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"liger-kernel",
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]
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_install_requires = [
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req
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for req in _install_requires
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if re.split(r"[>=<]", req)[0].strip() not in skip_packages
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]
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print(
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_install_requires, [req in skip_packages for req in _install_requires]
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)
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else:
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# detect the version of torch already installed
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# and set it so dependencies don't clobber the torch version
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try:
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torch_version = version("torch")
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except PackageNotFoundError:
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torch_version = "2.5.1"
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_install_requires.append(f"torch=={torch_version}")
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version_match = re.match(r"^(\d+)\.(\d+)(?:\.(\d+))?", torch_version)
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if version_match:
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major, minor, patch = version_match.groups()
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major, minor = int(major), int(minor)
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patch = (
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int(patch) if patch is not None else 0
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) # Default patch to 0 if not present
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else:
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raise ValueError("Invalid version format")
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if (major, minor) >= (2, 6):
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_install_requires.pop(_install_requires.index(xformers_version))
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_install_requires.append("xformers==0.0.29.post2")
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elif (major, minor) >= (2, 5):
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_install_requires.pop(_install_requires.index(xformers_version))
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if patch == 0:
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_install_requires.append("xformers==0.0.28.post2")
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else:
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_install_requires.append("xformers>=0.0.28.post3")
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_install_requires.pop(_install_requires.index(autoawq_version))
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elif (major, minor) >= (2, 4):
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if patch == 0:
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_install_requires.pop(_install_requires.index(xformers_version))
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_install_requires.append("xformers>=0.0.27")
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else:
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_install_requires.pop(_install_requires.index(xformers_version))
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_install_requires.append("xformers==0.0.28.post1")
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else:
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raise ValueError("axolotl requires torch>=2.4")
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except PackageNotFoundError:
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pass
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return _install_requires, _dependency_links
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def get_package_version():
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with open(
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Path(os.path.dirname(os.path.abspath(__file__)))
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/ "src"
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/ "axolotl"
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/ "__init__.py",
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"r",
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encoding="utf-8",
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) as fin:
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version_match = re.search(r"^__version__\s*=\s*(.*)$", fin.read(), re.MULTILINE)
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version_ = ast.literal_eval(version_match.group(1))
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return version_
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install_requires, dependency_links = parse_requirements()
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setup(
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version=get_package_version(),
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package_dir={"": "src"},
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packages=find_packages("src"),
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install_requires=install_requires,
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dependency_links=dependency_links,
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entry_points={
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"console_scripts": [
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"axolotl=axolotl.cli.main:main",
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],
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},
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extras_require={
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"flash-attn": [
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"flash-attn==2.7.4.post1",
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],
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"deepspeed": [
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"deepspeed==0.16.4",
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"deepspeed-kernels",
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],
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"mamba-ssm": [
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"mamba-ssm==1.2.0.post1",
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"causal_conv1d",
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],
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"auto-gptq": [
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"auto-gptq==0.5.1",
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],
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"mlflow": [
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"mlflow",
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],
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"lion-pytorch": [
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"lion-pytorch==0.1.2",
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],
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"galore": [
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"galore_torch",
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],
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"optimizers": [
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"galore_torch",
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"lion-pytorch==0.1.2",
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"lomo-optim==0.1.1",
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"torch-optimi==0.2.1",
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],
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"ray": [
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"ray[train]",
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],
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"vllm": [
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"vllm==0.7.2",
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],
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},
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)
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