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TorchForge: Enterprise-Grade PyTorch Framework
Author: Anil Prasad
author_email="anil@ambharii.com",
url="https://github.com/anilatambharii/torchforge",
"""
from setuptools import setup, find_packages
from pathlib import Path
# Read long description from README
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding="utf-8")
# Read requirements
def read_requirements(filename):
with open(this_directory / filename) as f:
return [line.strip() for line in f if line.strip() and not line.startswith("#")]
setup(
name="pytorchforge",
version="1.0.0",
author="Anil Prasad",
author_email="anil@ambharii.com",
description="Enterprise-grade PyTorch framework with governance, monitoring, and production deployment capabilities",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/anilatambharii/torchforge",
project_urls={
"Bug Tracker": "https://github.com/anilatambharii/torchforge/issues",
"Documentation": "https://torchforge.readthedocs.io",
"Source Code": "https://github.com/anilatambharii/torchforge",
},
packages=find_packages(exclude=["tests*", "docs*", "examples*"]),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
],
python_requires=">=3.8",
install_requires=read_requirements("requirements.txt"),
extras_require={
"cloud": [
"boto3>=1.26.0",
"azure-ai-ml>=1.11.0",
"google-cloud-aiplatform>=1.35.0",
"kubernetes>=27.0.0",
],
"monitoring": [
"prometheus-client>=0.18.0",
"grafana-api>=1.0.3",
"mlflow>=2.8.0",
"wandb>=0.16.0",
],
"dev": [
"pytest>=7.4.0",
"pytest-cov>=4.1.0",
"pytest-benchmark>=4.0.0",
"black>=23.9.0",
"isort>=5.12.0",
"flake8>=6.1.0",
"mypy>=1.5.0",
"pre-commit>=3.4.0",
"sphinx>=7.2.0",
"sphinx-rtd-theme>=1.3.0",
],
"all": [
"boto3>=1.26.0",
"azure-ai-ml>=1.11.0",
"google-cloud-aiplatform>=1.35.0",
"kubernetes>=27.0.0",
"prometheus-client>=0.18.0",
"grafana-api>=1.0.3",
"mlflow>=2.8.0",
"wandb>=0.16.0",
],
},
entry_points={
"console_scripts": [
"torchforge=torchforge.cli:main",
],
},
include_package_data=True,
zip_safe=False,
keywords=[
"pytorch",
"deep-learning",
"machine-learning",
"mlops",
"enterprise-ai",
"governance",
"compliance",
"nist",
"production",
"deployment",
],
)
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