#!/usr/bin/env python3 from pathlib import Path from setuptools import setup directory = Path(__file__).resolve().parent with open(directory / 'README.md', encoding='utf-8') as f: long_description = f.read() setup(name='tinygrad', version='0.9.2', description='You like pytorch? You like micrograd? You love tinygrad! <3', author='George Hotz', license='MIT', long_description=long_description, long_description_content_type='text/markdown', packages = ['tinygrad', 'tinygrad.runtime.autogen', 'tinygrad.codegen', 'tinygrad.nn', 'tinygrad.renderer', 'tinygrad.engine', 'tinygrad.runtime', 'tinygrad.runtime.support', 'tinygrad.runtime.graph', 'tinygrad.shape'], package_data = {'tinygrad': ['py.typed']}, classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License" ], install_requires=[], python_requires='>=3.8', extras_require={ 'llvm': ["llvmlite"], 'arm': ["unicorn"], 'triton': ["triton-nightly>=2.1.0.dev20231014192330"], 'linting': [ "pylint", "mypy", "typing-extensions", "pre-commit", "ruff", "types-tqdm", ], #'mlperf': ["mlperf-logging @ git+https://github.com/mlperf/logging.git@4.1.0-rc3"], 'testing': [ "numpy", "torch", "pillow", "pytest", "pytest-xdist", "onnx==1.16.0", "onnx2torch", "opencv-python", "tabulate", "tqdm", "safetensors", "transformers", "sentencepiece", "tiktoken", "blobfile", "librosa", "networkx", "hypothesis", "nibabel", "bottle", ], 'docs': [ "mkdocs", "mkdocs-material", "mkdocstrings[python]", "markdown-callouts", "markdown-exec[ansi]", "black", "numpy", ], 'testing_tf': [ "tensorflow==2.15.1", "tensorflow_addons", ] }, include_package_data=True)