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setup.py
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setup.py
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# Copyright 2024 MosaicML LLM Foundry authors
# SPDX-License-Identifier: Apache-2.0
"""MosaicML LLM Foundry package setup."""
import copy
import os
from typing import Any, Mapping
import setuptools
from setuptools import setup
_PACKAGE_NAME = 'llm-foundry'
_PACKAGE_DIR = 'llmfoundry'
_REPO_REAL_PATH = os.path.dirname(os.path.realpath(__file__))
_PACKAGE_REAL_PATH = os.path.join(_REPO_REAL_PATH, _PACKAGE_DIR)
# Read the llm-foundry version
# We can't use `.__version__` from the library since it's not installed yet
version_path = os.path.join(_PACKAGE_REAL_PATH, '_version.py')
with open(version_path, encoding='utf-8') as f:
version_globals: dict[str, Any] = {}
version_locals: Mapping[str, object] = {}
content = f.read()
exec(content, version_globals, version_locals)
repo_version = str(version_locals['__version__'])
# Use repo README for PyPi description
with open('README.md', 'r', encoding='utf-8') as fh:
long_description = fh.read()
# Hide the content between <!-- SETUPTOOLS_LONG_DESCRIPTION_HIDE_BEGIN --> and
# <!-- SETUPTOOLS_LONG_DESCRIPTION_HIDE_END --> tags in the README
while True:
start_tag = '<!-- SETUPTOOLS_LONG_DESCRIPTION_HIDE_BEGIN -->'
end_tag = '<!-- SETUPTOOLS_LONG_DESCRIPTION_HIDE_END -->'
start = long_description.find(start_tag)
end = long_description.find(end_tag)
if start == -1:
assert end == -1, 'there should be a balanced number of start and ends'
break
else:
assert end != -1, 'there should be a balanced number of start and ends'
long_description = long_description[:start] + long_description[
end + len(end_tag):]
classifiers = [
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
]
install_requires = [
'mosaicml[libcloud,wandb,oci,gcs,mlflow]>=0.25.0,<0.26',
'mlflow>=2.14.1,<2.17',
'accelerate>=0.25,<0.34', # for HF inference `device_map`
'transformers>=4.43.2,<4.44',
'mosaicml-streaming>=0.9.0,<0.10',
'torch>=2.4.0,<2.4.1',
'datasets>=2.19,<2.20',
'fsspec==2023.6.0', # newer version results in a bug in datasets that duplicates data
'sentencepiece==0.2.0',
'einops==0.8.0',
'omegaconf>=2.2.3,<3',
'slack-sdk<4',
'mosaicml-cli>=0.6.10,<1',
'onnx==1.16.2',
'onnxruntime==1.19.0',
'boto3>=1.21.45,<2',
'huggingface-hub>=0.19.0,<0.25',
'beautifulsoup4>=4.12.2,<5', # required for model download utils
'tenacity>=8.2.3,<10',
'catalogue>=2,<3',
'typer<1',
'GitPython==3.1.43',
]
extra_deps = {}
extra_deps['dev'] = [
'coverage[toml]==7.6.1',
'pre-commit>=3.4.0,<4',
'pytest>=7.2.1,<9',
'pytest_codeblocks>=0.16.1,<0.18',
'pytest-cov>=4,<6',
'pyright==1.1.256',
'toml>=0.10.2,<0.11',
'packaging>=21,<25',
'hf_transfer==0.1.8',
]
extra_deps['databricks'] = [
'mosaicml[databricks]>=0.25.0,<0.26',
'numpy<2',
'databricks-sql-connector>=3,<4',
'databricks-connect==14.1.0',
'lz4>=4,<5',
]
extra_deps['tensorboard'] = [
'mosaicml[tensorboard]>=0.25.0,<0.26',
]
# Flash 2 group kept for backwards compatibility
extra_deps['gpu-flash2'] = [
'flash-attn>=2.6.3,<3',
]
extra_deps['gpu'] = copy.deepcopy(extra_deps['gpu-flash2'])
extra_deps['peft'] = [
'mosaicml[peft]>=0.25.0,<0.26',
]
extra_deps['openai'] = [
'openai==1.3.8',
'tiktoken==0.4.0',
]
extra_deps['megablocks'] = [
'megablocks==0.6.1',
'grouped-gemm==0.1.6',
]
extra_deps['databricks-serverless'] = {
dep for key, deps in extra_deps.items() for dep in deps
if 'gpu' not in key and 'megablocks' not in key and
'databricks-connect' not in dep
}
extra_deps['all-cpu'] = {
dep for key, deps in extra_deps.items() for dep in deps
if 'gpu' not in key and 'megablocks' not in key
}
extra_deps['all'] = {
dep for key, deps in extra_deps.items() for dep in deps
if key not in {'gpu-flash2', 'all-cpu'}
}
extra_deps['all-flash2'] = {
dep for key, deps in extra_deps.items() for dep in deps
if key not in {'gpu', 'all', 'all-cpu'}
}
setup(
name=_PACKAGE_NAME,
version=repo_version,
author='MosaicML',
author_email='[email protected]',
description='LLM Foundry',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/mosaicml/llm-foundry/',
package_data={
'llmfoundry': ['py.typed'],
},
packages=setuptools.find_packages(
exclude=['.github*', 'mcli*', 'scripts*', 'tests*'],
),
classifiers=classifiers,
install_requires=install_requires,
extras_require=extra_deps,
python_requires='>=3.9',
entry_points={
'console_scripts': ['llmfoundry = llmfoundry.cli.cli:app'],
},
)