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setup.py
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from setuptools import find_packages, setup
import os
import platform
def is_rocm_available():
"""Detect if ROCm is available."""
return "rocm" in platform.system().lower() or any(
keyword in os.environ.get("PATH", "").lower() for keyword in ["rocm", "hip"]
)
def parse_requirements(file_path):
"""Parse a requirements file."""
_install_requires = []
_dependency_links = []
with open(file_path, encoding="utf-8") as requirements_file:
lines = [r.strip() for r in requirements_file.readlines()]
for line in lines:
if line.startswith("--extra-index-url"):
# Handle custom index URLs
_, url = line.split()
_dependency_links.append(url)
elif line and line[0] != "#":
# Add valid requirements
_install_requires.append(line)
return _install_requires, _dependency_links
# Initialize dependencies
install_requires = []
dependency_links = []
# Install ROCm-specific dependencies first if available
if is_rocm_available():
print("Detected ROCm. Installing requirements from requirements-amd.txt")
amd_requires, amd_links = parse_requirements("requirements-amd.txt")
install_requires.extend(amd_requires)
dependency_links.extend(amd_links)
# Install general dependencies
print("Installing general requirements from requirements.txt")
general_requires, general_links = parse_requirements("requirements.txt")
install_requires.extend(general_requires)
dependency_links.extend(general_links)
# Ensure no duplicate dependencies
install_requires = list(set(install_requires))
dependency_links = list(set(dependency_links))
setup(
name="axolotl",
version="0.5.2",
description="LLM Trainer",
long_description="Axolotl is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.",
package_dir={"": "src"},
packages=find_packages("src"),
install_requires=install_requires,
dependency_links=dependency_links,
extras_require={
"flash-attn": [
"flash-attn==2.7.0.post2",
],
"deepspeed": [
"deepspeed==0.15.4",
"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",
],
},
)