Files
axolotl/setup.py
Eric Tang 268543a3be Ray Train Axolotl Integration (#2251)
* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* fix bf16 resolution behavior

* move dtype logic

* x

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* rename

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* add to sidebar

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* Apply suggestions from code review

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* Update docs/ray-integration.qmd

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* pre-commit fixes

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* use output_dir instead of hardcoded saves path

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* bugfix storage dir

* change type\ for resources_per_worker

---------

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Sumanth R Hegde <39546518+SumanthRH@users.noreply.github.com>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2025-01-29 00:10:19 -05:00

158 lines
5.0 KiB
Python

"""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 = (
"flash-attn" in line
or "flash-attention" in line
or "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",
"flash-attn",
"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, 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==2.7.0.post2",
],
"deepspeed": [
"deepspeed==0.16.1",
"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]",
],
},
)