78 lines
2.3 KiB
78 lines
2.3 KiB
#!/usr/bin/env python3
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from pathlib import Path
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from setuptools import setup
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directory = Path(__file__).resolve().parent
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with open(directory / 'README.md', encoding='utf-8') as f:
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long_description = f.read()
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setup(name='tinygrad',
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version='0.10.0',
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description='You like pytorch? You like micrograd? You love tinygrad! <3',
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author='George Hotz',
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license='MIT',
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long_description=long_description,
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long_description_content_type='text/markdown',
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packages = ['tinygrad', 'tinygrad.runtime.autogen', 'tinygrad.codegen', 'tinygrad.nn', 'tinygrad.renderer', 'tinygrad.engine',
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'tinygrad.runtime', 'tinygrad.runtime.support', 'tinygrad.runtime.graph', 'tinygrad.shape'],
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package_data = {'tinygrad': ['py.typed']},
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License"
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],
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install_requires=[],
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python_requires='>=3.10',
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extras_require={
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'llvm': ["llvmlite"],
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'arm': ["unicorn"],
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'triton': ["triton-nightly>=2.1.0.dev20231014192330"],
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'linting': [
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"pylint",
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"mypy==1.13.0",
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"typing-extensions",
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"pre-commit",
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"ruff",
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"types-tqdm",
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],
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#'mlperf': ["mlperf-logging @ git+https://github.com/mlperf/logging.git@4.1.0-rc3"],
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'testing': [
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"numpy",
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"torch",
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"jax",
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"pillow",
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"pytest",
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"pytest-xdist",
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"onnx==1.16.0",
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"onnx2torch",
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"opencv-python",
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"tabulate",
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"tqdm",
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"safetensors",
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"transformers",
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"sentencepiece",
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"tiktoken",
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"blobfile",
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"librosa",
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"networkx",
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"hypothesis",
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"nibabel",
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"bottle",
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"ggml-python"
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],
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'webgpu': ["wgpu"],
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'docs': [
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"mkdocs",
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"mkdocs-material",
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"mkdocstrings[python]",
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"markdown-callouts",
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"markdown-exec[ansi]",
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"black",
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"numpy",
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],
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'testing_tf': [
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"tensorflow==2.15.1",
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"tensorflow_addons",
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]
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},
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include_package_data=True)
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