mirror of
https://github.com/tinygrad/tinygrad.git
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2c8e4ea865
* squashed fp8 commits * tensorcore start * minor changes * pre-commit * pylint * Delete fp8mul.cu * clean * small bugfix * fix test_dtype * fix test_dtype_alu * add EMULATE_CUDA_SM89 * fix ci * fix test_linearizer * fix test_linearizer * fix swizzle * add debug to simple_matmul * fixed swizzle * python emulator * refactor python emulator * setup fix * numpy setup * ml_dtypes only in emulate_cuda_sm89 * fix pylint * fix tests * fix mypy * fix mypy * fix ruff * done python emulator * add acc type * tests * mypy * clean code * add cuda tensor core tests to CI * minor fix * clean test_dtype.py * clean cstyle.py * clean test_ops.py * fix test * fix test * whitespaces * pylint * pylint * amd? * amd? * amd * reduce lines * mockgpu remove * fix * ruff * ruff * fix mypy * ruff * test only for cuda * fixed formatting * small fixes * small fix * least_upper_dtype if fp8s not supported * log and reciprocal are supported for fp8s * ops python fixes * dtypes.fp8s use * e4m3 + e5m2 result dtype test * truncate linter fix --------- Co-authored-by: pkotzbach <pawkotz@gmail.com> Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com> Co-authored-by: chenyu <chenyu@fastmail.com>
93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
#!/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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testing_minimal = [
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"numpy",
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"torch",
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"pytest",
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"pytest-xdist",
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"hypothesis",
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"z3-solver",
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]
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setup(name='tinygrad',
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version='0.10.2',
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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.runtime.autogen.am', 'tinygrad.codegen', 'tinygrad.nn',
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'tinygrad.renderer', 'tinygrad.engine', 'tinygrad.viz', 'tinygrad.runtime', 'tinygrad.runtime.support',
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'tinygrad.runtime.support.am', 'tinygrad.runtime.graph', 'tinygrad.shape'],
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package_data = {'tinygrad': ['py.typed'], 'tinygrad.viz': ['index.html', 'perfetto.html', 'assets/**/*', 'lib/**/*']},
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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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'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@5.0.0-rc1"],
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'testing_minimal': testing_minimal,
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'testing_unit': testing_minimal + [
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"tqdm",
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"safetensors",
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"tabulate", # for sz.py
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],
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'testing': testing_minimal + [
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"pillow",
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"onnx==1.17.0",
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"onnx2torch",
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"onnxruntime",
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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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"nibabel",
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"bottle",
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"ggml-python",
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"capstone",
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"ml_dtypes",
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"pycocotools",
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"boto3",
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"pandas"
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],
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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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