finetune-demo-lora / setup.py
rayraycano's picture
Training in progress, step 20
fcca8c8 verified
"""setup.py for axolotl"""
import ast
import os
import platform
import re
from importlib.metadata import PackageNotFoundError, version
from pathlib import Path
from setuptools import find_packages, setup
def parse_requirements():
_install_requires = []
_dependency_links = []
with open("./requirements.txt", encoding="utf-8") as requirements_file:
lines = [r.strip() for r in requirements_file.readlines()]
for line in lines:
is_extras = (
"deepspeed" in line or "mamba-ssm" in line or "lion-pytorch" in line
)
if line.startswith("--extra-index-url"):
# Handle custom index URLs
_, url = line.split()
_dependency_links.append(url)
elif not is_extras and line and line[0] != "#":
# Handle standard packages
_install_requires.append(line)
try:
xformers_version = [req for req in _install_requires if "xformers" in req][0]
autoawq_version = [req for req in _install_requires if "autoawq" in req][0]
if "Darwin" in platform.system():
# skip packages not compatible with OSX
skip_packages = [
"bitsandbytes",
"triton",
"mamba-ssm",
"xformers",
"autoawq",
"liger-kernel",
]
_install_requires = [
req
for req in _install_requires
if re.split(r"[>=<]", req)[0].strip() not in skip_packages
]
print(
_install_requires, [req in skip_packages for req in _install_requires]
)
else:
# detect the version of torch already installed
# and set it so dependencies don't clobber the torch version
try:
torch_version = version("torch")
except PackageNotFoundError:
torch_version = "2.5.1"
_install_requires.append(f"torch=={torch_version}")
version_match = re.match(r"^(\d+)\.(\d+)(?:\.(\d+))?", torch_version)
if version_match:
major, minor, patch = version_match.groups()
major, minor = int(major), int(minor)
patch = (
int(patch) if patch is not None else 0
) # Default patch to 0 if not present
else:
raise ValueError("Invalid version format")
if (major, minor) >= (2, 6):
_install_requires.pop(_install_requires.index(xformers_version))
_install_requires.append("xformers==0.0.29.post2")
elif (major, minor) >= (2, 5):
_install_requires.pop(_install_requires.index(xformers_version))
if patch == 0:
_install_requires.append("xformers==0.0.28.post2")
else:
_install_requires.append("xformers>=0.0.28.post3")
_install_requires.pop(_install_requires.index(autoawq_version))
elif (major, minor) >= (2, 4):
if patch == 0:
_install_requires.pop(_install_requires.index(xformers_version))
_install_requires.append("xformers>=0.0.27")
else:
_install_requires.pop(_install_requires.index(xformers_version))
_install_requires.append("xformers==0.0.28.post1")
else:
raise ValueError("axolotl requires torch>=2.4")
except PackageNotFoundError:
pass
return _install_requires, _dependency_links
def get_package_version():
with open(
Path(os.path.dirname(os.path.abspath(__file__)))
/ "src"
/ "axolotl"
/ "__init__.py",
"r",
encoding="utf-8",
) as fin:
version_match = re.search(r"^__version__\s*=\s*(.*)$", fin.read(), re.MULTILINE)
version_ = ast.literal_eval(version_match.group(1))
return version_
install_requires, dependency_links = parse_requirements()
setup(
version=get_package_version(),
package_dir={"": "src"},
packages=find_packages("src"),
install_requires=install_requires,
dependency_links=dependency_links,
entry_points={
"console_scripts": [
"axolotl=axolotl.cli.main:main",
],
},
extras_require={
"flash-attn": ["flash-attn==2.7.4.post1"],
"ring-flash-attn": ["ring-flash-attn>=0.1.4", "yunchang==0.6.0"],
"deepspeed": [
"deepspeed==0.16.4",
"deepspeed-kernels",
],
"mamba-ssm": [
"mamba-ssm==1.2.0.post1",
"causal_conv1d",
],
"auto-gptq": [
"auto-gptq==0.5.1",
],
"mlflow": [
"mlflow",
],
"lion-pytorch": [
"lion-pytorch==0.1.2",
],
"galore": [
"galore_torch",
],
"optimizers": [
"galore_torch",
"lion-pytorch==0.1.2",
"lomo-optim==0.1.1",
"torch-optimi==0.2.1",
],
"ray": [
"ray[train]",
],
"vllm": [
"vllm==0.7.2",
],
},
)