mirror of
https://github.com/tinygrad/tinygrad.git
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bd8a5c2ced
* factor out opencl runtime * don't use CL outside the runtime * cuda runtime adds * final_dimension * tests pass with CUDA backend * more cuda * cuda simpler * retain old functionality * linter and typing * move globalcounters out of runtimes * oops, GlobalCounters in cuda * MAX_OUTPUT_SHAPE=3 is fine for CUDA
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
#!/usr/bin/env python3
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import os
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from setuptools import setup
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directory = os.path.abspath(os.path.dirname(__file__))
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with open(os.path.join(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='0.4.0',
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description='You like pytorch? You like micrograd? You love tinygrad! heart',
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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.llops', 'tinygrad.nn'],
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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=['numpy', 'requests', 'pillow', 'networkx'],
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python_requires='>=3.8',
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extras_require={
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'gpu': ["pyopencl", "six"],
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'llvm': ["llvmlite"],
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'cuda': ["pycuda"],
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'testing': [
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"pytest",
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"torch~=1.11.0",
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"tqdm",
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"protobuf~=3.19.0",
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"onnx",
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"onnx2torch",
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"mypy",
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"pylint",
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"pre-commit",
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],
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},
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include_package_data=True)
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