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a9a1df785f
* initial commit * 81 passing * 105 passing tests * 148 passing * CI tests * install dep on ci * try opencl pkgs * try using vulkan * down to only 6 failing * refactor * cleaning up * another test skipped due to buffer limit * linter * segfault * indent fix * another segfault found * small touchups * Fix max and maxpool tests * Add constant folding * Add javascript export script * better asserts in codegen * manual upcasting * reverted token type change * skip safetensor test due to unsupported type * FIx efficientnet and all other model tests * Remove np copy * fixed indent and missing import * manually destroy the buffer * revert back to length * linter errors * removed extra val * skip broken tests * skipping more tests * Make the page pretty * Save model weights as safetensor * Fix imagenet to c test * Fix second imagenet to c bug * Async and paralel kernel compilation * workgroup support * reversed local size * fixed non local bug * correct local groups * ci experiment * removed typo * Fix define local by using shared memory * Refactor * try running on mac * match metal tests * add more workers * scope down tests * trying windows runner * fixed windows env * see how many it can do * merged master * refactor * missed refactor * increase test suite coverage * missing import * whitespace in test_efficientnet.py * getting there * fixed reset * fixed bufs * switched to cstyle * cleanup * min/max rename * one more linter issue * fixed demo * linter * testing ci chrome * add unsafe webgpu arg * add build step * remove WEBGPU from cmd line * use module * try forcing directx * trying forced metal backend * temp disable conv2d for CI * disable conv_trasnpose2d --------- Co-authored-by: 0x4d - Martin Loretz <20306567+martinloretzzz@users.noreply.github.com> Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
50 lines
1.5 KiB
Python
50 lines
1.5 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='0.6.0',
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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.codegen', 'tinygrad.nn', 'tinygrad.runtime', 'tinygrad.shape'],
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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', 'tqdm', 'networkx', 'pyopencl', 'PyYAML'],
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python_requires='>=3.8',
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extras_require={
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'llvm': ["llvmlite"],
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'cuda': ["pycuda"],
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'triton': ["triton>=2.0.0.dev20221202"],
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'webgpu': ["wgpu"],
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'metal': ["pyobjc-framework-Metal", "pyobjc-framework-Cocoa", "pyobjc-framework-libdispatch"],
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'linting': [
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"flake8",
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"pylint",
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"mypy",
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"pre-commit",
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],
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'testing': [
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"torch",
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"pytest",
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"pytest-xdist",
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"onnx",
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"onnx2torch",
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"opencv-python",
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"tabulate",
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"safetensors",
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"types-PyYAML",
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"cloudpickle",
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],
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},
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include_package_data=True)
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