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setup.py
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setup.py
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import re
from setuptools import find_namespace_packages, setup
# Ensure we match the version set in optimum/neuron/version.py
filepath = "optimum/neuron/version.py"
try:
with open(filepath) as version_file:
(__version__,) = re.findall('__version__ = "(.*)"', version_file.read())
except Exception as error:
assert False, "Error: Could not open '%s' due %s\n" % (filepath, error)
INSTALL_REQUIRES = [
"transformers == 4.43.2",
"accelerate == 0.29.2",
"optimum ~= 1.22.0",
"huggingface_hub >= 0.20.1",
"numpy>=1.22.2, <=1.25.2",
"protobuf>=3.20.3, <4",
]
TESTS_REQUIRE = [
"pytest <= 8.0.0",
"psutil",
"parameterized",
"GitPython",
"sentencepiece",
"datasets",
"sacremoses",
"diffusers>=0.28.0, <=0.30.3",
"safetensors",
"sentence-transformers >= 2.2.0",
"peft",
"trl==0.11.4",
"compel",
"rjieba",
"soundfile",
"librosa",
"opencv-python-headless",
"controlnet-aux",
"mediapipe",
]
QUALITY_REQUIRES = [
"black",
"ruff",
"isort",
"hf_doc_builder @ git+https://github.com/huggingface/doc-builder.git",
]
EXTRAS_REQUIRE = {
"tests": TESTS_REQUIRE,
"quality": QUALITY_REQUIRES,
"neuron": [
"wheel",
"torch-neuron==1.13.1.2.9.74.0",
"torch==1.13.1.*",
"neuron-cc[tensorflow]==1.22.0.0",
"protobuf",
"torchvision",
"numpy==1.22.3",
],
"neuronx": [
"wheel",
"neuronx-cc==2.15.128.0",
"torch-neuronx==2.1.2.2.3.0",
"transformers-neuronx==0.12.313",
"torch==2.1.2.*",
"torchvision==0.16.*",
"neuronx_distributed==0.9.0",
"libneuronxla==2.0.4115.0",
],
"diffusers": ["diffusers>=0.28.0, <=0.30.3", "peft"],
"sentence-transformers": ["sentence-transformers >= 2.2.0"],
}
setup(
name="optimum-neuron",
version=__version__,
description=(
"Optimum Neuron is the interface between the Hugging Face Transformers and Diffusers libraries and AWS "
"Trainium and Inferentia accelerators. It provides a set of tools enabling easy model loading, training and "
"inference on single and multiple neuron core settings for different downstream tasks."
),
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"License :: OSI Approved :: Apache Software License",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
keywords="transformers, diffusers, mixed-precision training, fine-tuning, inference, tranium, inferentia, aws",
url="https://huggingface.co/hardware/aws",
author="HuggingFace Inc. Special Ops Team",
author_email="hardware@huggingface.co",
license="Apache",
packages=find_namespace_packages(include=["optimum*"]),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
dependency_links=["https://pip.repos.neuron.amazonaws.com"],
include_package_data=True,
zip_safe=False,
entry_points={
"console_scripts": [
"optimum-cli=optimum.commands.optimum_cli:main",
"neuron_parallel_compile=optimum.neuron.utils.neuron_parallel_compile:main",
]
},
)